Ying Ding

According to our database, Ying Ding authored at least 251 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An editorial of "AI + informetrics": Robust models for large-scale analytics.

Yi Zhang, Chengzhi Zhang, Philipp Mayr, Arho Suominen, Ying Ding

Inf. Process. Manag., January, 2024

The impact of heterogeneous shared leadership in scientific teams.

Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding

Inf. Process. Manag., January, 2024

CancerGPT for few shot drug pair synergy prediction using large pretrained language models.

Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xiaoqian Jiang, Ying Ding, Yejin Kim

npj Digit. Medicine, 2024

Thought Graph: Generating Thought Process for Biological Reasoning.

Chi-Yang Hsu, Kyle Cox, Jiawei Xu, Zhen Tan, Tianhua Zhai, Mengzhou Hu, Dexter Pratt, Tianlong Chen, Ziniu Hu, Ying Ding

CoRR, 2024

2023

An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives.

Song Wang, Yifang Dang, Zhaoyi Sun, Ying Ding, Jyotishman Pathak, Cui Tao, Yunyu Xiao, Yifan Peng

J. Am. Medical Informatics Assoc., July, 2023

Radiomics-Guided Global-Local Transformer for Weakly Supervised Pathology Localization in Chest X-Rays.

Yan Han, Gregory Holste, Ying Ding, Ahmed H. Tewfik, Yifan Peng, Zhangyang Wang

IEEE Trans. Medical Imaging, March, 2023

Evaluating large language models on medical evidence summarization.

Liyan Tang, Zhaoyi Sun, Betina Ross S. Idnay, Jordan G. Nestor, Ali Soroush, Pierre A. Elias, Ziyang Xu, Ying Ding, Greg Durrett, Justin F. Rousseau, Chunhua Weng, Yifan Peng

npj Digit. Medicine, 2023

Effects of Same-Race Mentorship Preferences on Academic Performance and Survival.

Meijun Liu, Yi Bu, Daifeng Li, Ying Ding, Daniel E. Acuna

CoRR, 2023

Has China caught up to the US in AI research? An exploration of mimetic isomorphism as a model for late industrializers.

Chao Min, Yi Zhao, Yi Bu, Ying Ding, Caroline S. Wagner

CoRR, 2023

The Impact of Heterogeneous Shared Leadership in Scientific Teams.

Huimin Xu, Meijun Liu, Yi Bu, Shujing Sun, Yi Zhang, Chenwei Zhang, Daniel E. Acuna, Steven Gray, Eric T. Meyer, Ying Ding

CoRR, 2023

CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models.

Tianhao Li, Sandesh Shetty, Advaith Kamath, Ajay Jaiswal, Xianqian Jiang, Ying Ding, Yejin Kim

CoRR, 2023

Cross-Team Collaboration and Diversity in the Bridge2AI Project.

Huimin Xu, Chitrank Gupta, Zhandos Sembay, Swathi Thaker, Pamela Payne-Foster, Jake Y. Chen, Ying Ding

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023).

Angelo Antonio Salatino, Yu Bu, Ying Ding, Ágnes Horvát, Yong Huang, Meijun Liu, Paolo Manghi, Andrea Mannocci, Francesco Osborne, Daniel M. Romero, Dimitris Sacharidis, Misha Teplitskiy, Thanasis Vergoulis, Feng Xia, Yujia Zhai

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

International Workshop on Digital Twins for Smart Health.

Jun Deng, Ying Ding, Luke Achenie, Jinwei Liu, Shimei Pan, Sanjay Purushotham, Huanmei Wu, Qi Wang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances.

Ajay Jaiswal, Tianlong Chen, Justin F. Rousseau, Yifan Peng, Ying Ding, Zhangyang Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers?

Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

JCDL2023 Workshop: Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023).

Chengzhi Zhang, Yi Zhang, Philipp Mayr, Wei Lu, Arho Suominen, Haihua Chen, Ying Ding

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023

Disparity in the Evolving COVID-19 Collaboration Network.

Huimin Xu, Redoan Rahman, Ajay Jaiswal, Julia Fensel, Abhinav Peri, Kamesh Peri, Griffin M. Weber, Ying Ding

Proceedings of the Information for a Better World: Normality, Virtuality, Physicality, Inclusivity, 2023

Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models.

Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2023

Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication.

Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2023

Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction.

Tingyi Wanyan, Mingquan Lin, Ying Ding, Benjamin S. Glicksberg, Fei Wang, Yifan Peng

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Vision HGNN: An Image is More than a Graph of Nodes.

Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses.

Liyan Tang, Yifan Peng, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Reply to issues about entitymetrics and paper-entity citation network.

Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu

Scientometrics, 2022

Further divided gender gaps in research productivity and collaboration during the COVID-19 pandemic: Evidence from coronavirus-related literature.

Meijun Liu, Ning Zhang, Xiao Hu, Ajay Jaiswal, Jian Xu, Hong Chen, Ying Ding, Yi Bu

J. Informetrics, 2022

Team formation and team impact: The balance between team freshness and repeat collaboration.

Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Daniel Acuña, Ying Ding

J. Informetrics, 2022

Beyond correlation: Towards matching strategy for causal inference in Information Science.

Xianlei Dong, Jiahui Xu, Yi Bu, Chenwei Zhang, Ying Ding, Beibei Hu, Yang Ding

J. Inf. Sci., 2022

Trustworthy assertion classification through prompting.

Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng

J. Biomed. Informatics, 2022

Team power dynamics and team impact: New perspectives on scientific collaboration using career age as a proxy for team power.

Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric T. Meyer, Eduardo Salas, Ying Ding

J. Assoc. Inf. Sci. Technol., 2022

Pandemics are catalysts of scientific novelty: Evidence from COVID-19.

Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric T. Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Chao Min, Min Song, Yujia Zhai, Ying Ding

J. Assoc. Inf. Sci. Technol., 2022

Contributorship in scientific collaborations: The perspective of contribution-based byline orders.

Chao Lu, Chenwei Zhang, Chengrui Xiao, Ying Ding

Inf. Process. Manag., 2022

Team formation and team performance: The balance between team freshness and repeat collaboration.

Meijun Liu, Ajay Jaiswal, Yi Bu, Chao Min, Sijie Yang, Zhibo Liu, Daniel Daniel Acuña, Ying Ding

CoRR, 2022

Prior Knowledge Enhances Radiology Report Generation.

Song Wang, Liyan Tang, Mingquan Lin, George Shih, Ying Ding, Yifan Peng

CoRR, 2022

Knowledge graph analytics platform with LINCS and IDG for Parkinson's disease target illumination.

Jeremy J. Yang, Christopher Gessner, Joel Duerksen, Daniel Biber, Jessica L. Binder, Murat Ozturk, Brian Foote, Robin McEntire, Kyle Stirling, Ying Ding, David J. Wild

BMC Bioinform., 2022

Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.

Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again.

Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

International Workshop on Knowledge Graphs: Open Knowledge Network.

Ying Ding, Amit P. Sheth, Krzysztof W. Janowicz, Sergio Baranzini, Sharat Israni, Ilkay Altintas, Lilit Yeghiazarian, Ellie Young, Sam Klein

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

International Workshop on Data-driven Science of Science.

Yi Bu, Meijun Liu, Yujia Zhai, Ying Ding, Feng Xia, Daniel E. Acuña, Yi Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Cross-Regional Analysis of the Aging Phenomenon of Biomedical Scholars.

Tongyang Zhang, Jiexun Wu, Zhiwei Ye, Ying Ding, Jian Xu

Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

Elapsed Collective Memory: Looking for the Forgotten Classic Works in Library and Information Science.

Yujia Zhai, Alec McGail, Ying Ding

Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

Training Your Sparse Neural Network Better with Any Mask.

Ajay Kumar Jaiswal, Haoyu Ma, Tianlong Chen, Ying Ding, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2022

Radiology Text Analysis System (RadText): Architecture and Evaluation.

Song Wang, Mingquan Lin, Ying Ding, George Shih, Zhiyong Lu, Yifan Peng

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging.

Ajay Jaiswal, Kumar Ashutosh, Justin F. Rousseau, Yifan Peng, Zhangyang Wang, Ying Ding

Proceedings of the IEEE International Conference on Data Mining, 2022

EchoGen: Generating Conclusions from Echocardiogram Notes.

Liyan Tang, Shravan Kooragayalu, Yanshan Wang, Ying Ding, Greg Durrett, Justin F. Rousseau, Yifan Peng

Proceedings of the 21st Workshop on Biomedical Language Processing, 2022

Supervised pretraining through contrastive categorical positive samplings to improve COVID-19 mortality prediction.

Tingyi Wanyan, Mingquan Lin, Eyal Klang, Kartikeya M. Menon, Faris F. Gulamali, Ariful Azad, Yiye Zhang, Ying Ding, Zhangyang Wang, Fei Wang, Benjamin S. Glicksberg, Yifan Peng

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

Prompt-based Learning for Assertion Classification in Clinical Notes.

Song Wang, Liyan Tang, Akash Majety, Justin F. Rousseau, George Shih, Ying Ding, Yifan Peng

Proceedings of the AMIA 2022, 2022

Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value.

Redoan Rahman, Jooyeong Kang, Justin F. Rousseau, Ying Ding

Proceedings of the AMIA 2022, 2022

2021

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit.

Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg

IEEE Trans. Big Data, 2021

Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements.

Yan Leng, Yujia Zhai, Shaojing Sun, Yifei Wu, Jordan Selzer, Sharon Strover, Hezhao Zhang, Anfan Chen, Ying Ding

IEEE Trans. Big Data, 2021

Analyzing knowledge entities about COVID-19 using entitymetrics.

Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu

Scientometrics, 2021

Contrastive learning improves critical event prediction in COVID-19 patients.

Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg

Patterns, 2021

On the relationship between download and citation counts: An introduction of Granger-causality inference.

Beibei Hu, Yang Ding, Xianlei Dong, Yi Bu, Ying Ding

J. Informetrics, 2021

Exploring direct citations between citing publications.

Yong Huang, Yi Bu, Ying Ding, Wei Lu

J. Inf. Sci., 2021

Partitioning highly, medium and lowly cited publications.

Yong Huang, Yi Bu, Ying Ding, Wei Lu

J. Inf. Sci., 2021

Innovation adoption: Broadcasting versus virality.

Yujia Zhai, Ying Ding, Hezhao Zhang

J. Assoc. Inf. Sci. Technol., 2021

Identifying citation patterns of scientific breakthroughs: A perspective of dynamic citation process.

Chao Min, Yi Bu, Ding Wu, Ying Ding, Yi Zhang

Inf. Process. Manag., 2021

Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records.

Tingyi Wanyan, Hossein Honarvar, Ariful Azad, Ying Ding, Benjamin S. Glicksberg

Data Intell., 2021

Team Power and Hierarchy: Understanding Team Success.

Huimin Xu, Yi Bu, Meijun Liu, Chenwei Zhang, Mengyi Sun, Yi Zhang, Eric T. Meyer, Eduardo Salas, Ying Ding

CoRR, 2021

A dataset of mentorship in science with semantic and demographic estimations.

Qing Ke, Lizhen Liang, Ying Ding, Stephen V. David, Daniel E. Acuna

CoRR, 2021

Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.

Yan Han, Chongyan Chen, Ahmed H. Tewfik, Benjamin S. Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang

CoRR, 2021

Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data.

Tingyi Wanyan, Jing Zhang, Ying Ding, Ariful Azad, Zhangyang Wang, Benjamin S. Glicksberg

CoRR, 2021

Innovation adoption: Broadcasting vs. Virality.

Yujia Zhai, Ying Ding, Hezhao Zhang

CoRR, 2021

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients.

Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg

CoRR, 2021

RadBERT-CL: Factually-Aware Contrastive Learning For Radiology Report Classification.

Ajay Jaiswal, Liyan Tang, Meheli Ghosh, Justin F. Rousseau, Yifan Peng, Ying Ding

Proceedings of the Machine Learning for Health, 2021

International Workshop on Knowledge Graph: Heterogenous Graph Deep Learning and Applications.

Ying Ding, Bogdan G. Arsintescu, Ching-Hua Chen, Haoyun Feng, François Scharffe, Oshani Seneviratne, Juan Sequeda

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Building the COVID-19 Portal By Integrating Literature, Clinical Trials, and Knowledge Graphs.

Aoshen Wan, Yan Zhan, Sanjana Tripathi, Jiarong Yang, Mona Sachdev, Shreya Paithankar, Joel Duerksen, Bin Chen, Ying Ding

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2021

Pneumonia Detection On Chest X-Ray Using Radiomic Features And Contrastive Learning.

Yan Han, Chongyan Chen, Ahmed H. Tewfik, Ying Ding, Yifan Peng

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Understanding the Evolution of the Concept of Artificial Intelligence in Different Publication Venues.

Lianjie Xiao, Weiwei Jiang, Kai Qin, Ying Ding

Proceedings of the Diversity, Divergence, Dialogue, 2021

Understanding Team Collaboration in Artificial Intelligence from the Perspective of Geographic Distance.

Xuli Tang, Xin Li, Ying Ding, Feicheng Ma

Proceedings of the Diversity, Divergence, Dialogue, 2021

Understanding Parachuting Collaboration.

Ajay Jaiswal, Meijun Liu, Ying Ding

Proceedings of the Diversity, Divergence, Dialogue, 2021

Biomedical Knowledge Graph Refinement and Completion Using Graph Representation Learning and Top-K Similarity Measure.

Islam Akef Ebeid, Majdi Hassan, Tingyi Wanyan, Jack Roper, Abhik Seal, Ying Ding

Proceedings of the Diversity, Divergence, Dialogue, 2021

Semantic Shifts Reveal the Multipurpose Use of Potential COVID-19 Treatments.

Baitong Chen, Qi Yu, Yi Bu, Ying Ding

Proceedings of the Diversity, Divergence, Dialogue, 2021

An empirical study of using radiology reports and images to improve ICU-mortality prediction.

Mingquan Lin, Song Wang, Ying Ding, Lihui Zhao, Fei Wang, Yifan Peng

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

SCALP - Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata.

Ajay Jaiswal, Tianhao Li, Cyprian Zander, Yan Han, Justin F. Rousseau, Yifan Peng, Ying Ding

Proceedings of the IEEE International Conference on Data Mining, 2021

Using Radiomics as Prior Knowledge for Thorax Disease Classification and Localization in Chest X-rays.

Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Song Wang, Ahmed H. Tewfik, George Shih, Ying Ding, Yifan Peng

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

The Gene of Scientific Success.

Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia

ACM Trans. Knowl. Discov. Data, 2020

Monolingual and multilingual topic analysis using LDA and BERT embeddings.

Qing Xie, Xinyuan Zhang, Ying Ding, Min Song

J. Informetrics, 2020

The pace of artificial intelligence innovations: Speed, talent, and trial-and-error.

Xuli Tang, Xin Li, Ying Ding, Min Song, Yi Bu

J. Informetrics, 2020

Co-contributorship network and division of labor in individual scientific collaborations.

Chao Lu, Yingyi Zhang, Yong-Yeol Ahn, Ying Ding, Chenwei Zhang, Dandan Ma

J. Assoc. Inf. Sci. Technol., 2020

Using Radiomics as Prior Knowledge for Abnormality Classification and Localization in Chest X-rays.

Yan Han, Chongyan Chen, Liyan Tang, Mingquan Lin, Ajay Jaiswal, Ying Ding, Yifan Peng

CoRR, 2020

Can pandemics transform scientific novelty? Evidence from COVID-19.

Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Min Song, Yujia Zhai, Ying Ding

CoRR, 2020

Coronavirus Knowledge Graph: A Case Study.

Chongyan Chen, Islam Akef Ebeid, Yi Bu, Ying Ding

CoRR, 2020

Analysis of misinformation during the COVID-19 outbreak in China: cultural, social and political entanglements.

Yan Leng, Yujia Zhai, Shaojing Sun, Yifei Wu, Jordan Selzer, Sharon Strover, Julia Fensel, Alex Pentland, Ying Ding

CoRR, 2020

Building a PubMed knowledge graph.

Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding

CoRR, 2020

Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN.

Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding

CoRR, 2020

Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions.

Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

Interdisciplinary scholarly communication: an exploratory study for the field of joint attention.

Jian Xu, Ying Ding, Yi Bu, Shuqing Deng, Chen Yu, Yimin Zou, Andrew D. Madden

Scientometrics, 2019

Analyzing linguistic complexity and scientific impact.

Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Vincent Larivière, Cassidy R. Sugimoto, Logan Paul, Chengzhi Zhang

J. Informetrics, 2019

Examining scientific writing styles from the perspective of linguistic complexity.

Chao Lu, Yi Bu, Jie Wang, Ying Ding, Vetle I. Torvik, Matthew Schnaars, Chengzhi Zhang

J. Assoc. Inf. Sci. Technol., 2019

Analyzing stock market trends using social media user moods and social influence.

Daifeng Li, Yintian Wang, Andrew D. Madden, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Ning Zhang, Enguo Zhou

J. Assoc. Inf. Sci. Technol., 2019

From zero to one: A perspective on citing.

Yong Huang, Yi Bu, Ying Ding, Wei Lu

J. Assoc. Inf. Sci. Technol., 2019

Adopting Text Mining on Rehabilitation Therapy Repositioning for Stroke.

Guilin Meng, Yong Huang, Qi Yu, Ying Ding, David J. Wild, Yanxin Zhao, Xueyuan Liu, Min Song

Frontiers Neuroinformatics, 2019

A Journal for Human and Machine.

James A. Hendler, Ying Ding, Barend Mons

Data Intell., 2019

edge2vec: Representation learning using edge semantics for biomedical knowledge discovery.

Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy J. Yang, Christopher Gessner, Brian Foote, David J. Wild, Ying Ding, Qi Yu

BMC Bioinform., 2019

UL-CSI Data Driven Deep Learning for Predicting DL-CSI in Cellular FDD Systems.

Jie Wang, Ying Ding, Shujie Bian, Yang Peng, Miao Liu, Guan Gui

IEEE Access, 2019

Understanding Roles of Collaborators from Their Byline Orders and Affiliations.

Chao Lu, Chengwei Zhang, Ying Ding, Dandan Ma, Yingyi Zhang

Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019

Modeling Adoption Behavior for Innovation Diffusion.

Enguo Zhou, Daifeng Li, Andrew D. Madden, Yongsheng Chen, Ying Ding, Qi Kang, Huanning Su

Proceedings of the Information in Contemporary Society - 14th International Conference, 2019

2018

Scholarly Network Analysis.

Erjia Yan, Ying Ding

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Understanding the formation of interdisciplinary research from the perspective of keyword evolution: a case study on joint attention.

Jian Xu, Yi Bu, Ying Ding, Sinan Yang, Hongli Zhang, Chen Yu, Lin Sun

Scientometrics, 2018

The mutually beneficial relationship of patents and scientific literature: topic evolution in nanoscience.

Yashuang Qi, Na Zhu, Yujia Zhai, Ying Ding

Scientometrics, 2018

Number versus structure: towards citing cascades.

Yong Huang, Yi Bu, Ying Ding, Wei Lu

Scientometrics, 2018

Semantic word shifts in a scientific domain.

Baitong Chen, Ying Ding, Feicheng Ma

Scientometrics, 2018

Measuring the stability of scientific collaboration.

Yi Bu, Dakota S. Murray, Ying Ding, Yong Huang, Yiming Zhao

Scientometrics, 2018

Topology-driven trend analysis for drug discovery.

Yanhua Lv, Ying Ding, Min Song, Zhiguang Duan

J. Informetrics, 2018

Understanding scientific collaboration: Homophily, transitivity, and preferential attachment.

Chenwei Zhang, Yi Bu, Ying Ding, Jian Xu

J. Assoc. Inf. Sci. Technol., 2018

Measuring the diffusion of an innovation: A citation analysis.

Yujia Zhai, Ying Ding, Fang Wang

J. Assoc. Inf. Sci. Technol., 2018

Innovation or imitation: The diffusion of citations.

Chao Min, Ying Ding, Jiang Li, Yi Bu, Lei Pei, Jianjun Sun

J. Assoc. Inf. Sci. Technol., 2018

Understanding success through the diversity of collaborators and the milestone of career.

Yi Bu, Ying Ding, Jian Xu, Xingkun Liang, Gege Gao, Yiming Zhao

J. Assoc. Inf. Sci. Technol., 2018

Understanding persistent scientific collaboration.

Yi Bu, Ying Ding, Xingkun Liang, Dakota S. Murray

J. Assoc. Inf. Sci. Technol., 2018

Modelling online user behavior for medical knowledge learning.

Daifeng Li, Andrew D. Madden, Chaochun Liu, Ying Ding, Liwei Qian, Enguo Zhou

Ind. Manag. Data Syst., 2018

An investigation on the evolution of diabetes data in social Q&A logs.

Yiming Zhao, Baitong Chen, Jin Zhang, Ying Ding, Jin Mao, Lihong Zhou

Data Inf. Manag., 2018

Direct Citations between Citing Publications.

Yong Huang, Yi Bu, Ying Ding, Wei Lu

CoRR, 2018

edge2vec: Learning Node Representation Using Edge Semantics.

Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Ying Ding

CoRR, 2018

Is scientific novelty reflected in citation patterns?

Chao Min, Yi Bu, Jianjun Sun, Ying Ding

Proceedings of the Building & Sustaining an Ethical Future with Emerging Technology, 2018

Analyzing scientific collaboration with "giants" based on the milestones of career.

Yi Bu, Dakota S. Murray, Jian Xu, Ying Ding, Peng Ai, Jinhua Shen, Fan Yang

Proceedings of the Building & Sustaining an Ethical Future with Emerging Technology, 2018

2017

Understanding the impact change of a highly cited article: a content-based citation analysis.

Chao Lu, Ying Ding, Chengzhi Zhang

Scientometrics, 2017

An efficient system to fund science: from proposal review to peer-to-peer distributions.

Johan Bollen, David J. Crandall, Damion Junk, Ying Ding, Katy Börner

Scientometrics, 2017

Multiplicity and uncertainty: Media coverage of autism causation.

Yujia Zhai, Shaojing Sun, Fang Wang, Ying Ding

J. Informetrics, 2017

Understanding the topic evolution in a scientific domain: An exploratory study for the field of information retrieval.

Baitong Chen, Satoshi Tsutsui, Ying Ding, Feicheng Ma

J. Informetrics, 2017

Standing on the shoulders of giants.

Tehmina Amjad, Ying Ding, Jian Xu, Chenwei Zhang, Ali Daud, Jie Tang, Min Song

J. Informetrics, 2017

Using Machine Reading to Understand Alzheimer's and Related Diseases from the Literature.

Satoshi Tsutsui, Yi Bu, Ying Ding

J. Data Inf. Sci., 2017

Understanding the Correlations between Social Attention and Topic Trends of Scientific Publications.

Xianlei Dong, Jian Xu, Ying Ding, Chenwei Zhang, Kunpeng Zhang, Min Song

J. Data Inf. Sci., 2017

User-level microblogging recommendation incorporating social influence.

Daifeng Li, Zhipeng Luo, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Xiaowen Dai, John Du, Jingwei Zhang, Shoubin Kong

J. Assoc. Inf. Sci. Technol., 2017

To Be or Not to Be: Will Scientific Writing Affect Scientific Impact?

Chao Lu, Yi Bu, Xianlei Dong, Jie Wang, Ying Ding, Chengzhi Zhang

Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017

Mapping the Semantic Word Shifts in Topics in the Field of Information Retrieval.

Baitong Chen, Ying Ding, Feicheng Ma

Proceedings of the 16th International Conference on Scientometrics and Informetrics, 2017

Who bridged the "Valley of Death" between basic research and clinical research? In the case of immune-checkpoints CTLA-4 and PD-1 based on inter-citation network.

Qiuju Zhou, Guilin Meng, Ying Ding

Proceedings of the Diversity of Engagement: Connecting People and Information in the Physical and Virtual Worlds, 2017

Quantifying the evolution of citation cascades.

Chao Min, Jianjun Sun, Ying Ding

Proceedings of the Diversity of Engagement: Connecting People and Information in the Physical and Virtual Worlds, 2017

Does collaboration bring high-impact studies? A preliminary study.

Chao Lu, Yi Bu, Chenwei Zhang, Ying Ding, Vetle I. Torvik, Chengzhi Zhang

Proceedings of the Diversity of Engagement: Connecting People and Information in the Physical and Virtual Worlds, 2017

Machine reading for relationships between autism research and the media.

Ying Ding, Fang Wang, Xiaoyu Wang, Yujia Zhai

Proceedings of the Diversity of Engagement: Connecting People and Information in the Physical and Virtual Worlds, 2017

2016

Measuring delayed recognition for papers: Uneven weighted summation and total citations.

Chao Min, Jianjun Sun, Lei Pei, Ying Ding

J. Informetrics, 2016

Author credit-assignment schemas: A comparison and analysis.

Jian Xu, Ying Ding, Min Song, Tamy Chambers

J. Assoc. Inf. Sci. Technol., 2016

Predicting drug target interactions using meta-path-based semantic network analysis.

Gang Fu, Ying Ding, Abhik Seal, Bin Chen, Yizhou Sun, Evan Bolton

BMC Bioinform., 2016

2015

Topic-based heterogeneous rank.

Tehmina Amjad, Ying Ding, Ali Daud, Jian Xu, Vincent Malic

Scientometrics, 2015

Tracing database usage: Detecting main paths in database link networks.

Qi Yu, Ying Ding, Min Song, Sung Jeon Song, Jianhua Liu, Bin Zhang

J. Informetrics, 2015

SemPathFinder: Semantic path analysis for discovering publicly unknown knowledge.

Min Song, Go Eun Heo, Ying Ding

J. Informetrics, 2015

Influence diffusion detection using the influence style (INFUSE) model.

Luke Kien-Weng Tan, Jin-Cheon Na, Ying Ding

J. Assoc. Inf. Sci. Technol., 2015

Topic-level opinion influence model (TOIM): An investigation using tencent microblogging.

Daifeng Li, Jie Tang, Ying Ding, Xin Shuai, Tamy Chambers, Gordon Guo-Zheng Sun, Zhipeng Luo, Jingwei Zhang

J. Assoc. Inf. Sci. Technol., 2015

A lead-lag analysis of the topic evolution patterns for preprints and publications.

Beibei Hu, Xianlei Dong, Chenwei Zhang, Timothy D. Bowman, Ying Ding, Stasa Milojevic, Chaoqun Ni, Erjia Yan, Vincent Larivière

J. Assoc. Inf. Sci. Technol., 2015

Hypothesis Generation for Joint Attention Analysis on Autism.

Jian Xu, Ying Ding, Chaomei Chen, Erjia Yan

Proceedings of the 15th International Conference on Scientometrics and Informetrics, Istanbul, Turkey, June 29, 2015

2014

Semantic Breakthrough in Drug Discovery

Bin Chen, Huijun Wang, Ying Ding, David J. Wild

Synthesis Lectures on the Semantic Web: Theory and Technology, Morgan & Claypool Publishers, ISBN: 978-3-031-79456-8, 2014

Scholarly Networks Analysis.

Erjia Yan, Ying Ding

Encyclopedia of Social Network Analysis and Mining, 2014

The role of handbooks in knowledge creation and diffusion: A case of science and technology studies.

Stasa Milojevic, Cassidy R. Sugimoto, Vincent Larivière, Mike Thelwall, Ying Ding

J. Informetrics, 2014

Content-based author co-citation analysis.

Yoo Kyung Jeong, Min Song, Ying Ding

J. Informetrics, 2014

Productivity and influence in bioinformatics: A bibliometric analysis using PubMed central.

Min Song, Suyeon Kim, Guo Zhang, Ying Ding, Tamy Chambers

J. Assoc. Inf. Sci. Technol., 2014

Patent citation analysis: Calculating science linkage based on citing motivation.

Rui Li, Tamy Chambers, Ying Ding, Guo Zhang, Liansheng Meng

J. Assoc. Inf. Sci. Technol., 2014

Content-based citation analysis: The next generation of citation analysis.

Ying Ding, Guo Zhang, Tamy Chambers, Min Song, Xiaolong Wang, Chengxiang Zhai

J. Assoc. Inf. Sci. Technol., 2014

Female semantic web researchers: does collaboration with male researchers influence their network status?

Tamy Chambers, Stasa Milojevic, Ying Ding

Proceedings of the ACM Web Science Conference, 2014

Modeling Paying Behavior in Game Social Networks.

Zhanpeng Fang, Xinyu Zhou, Jie Tang, Wei Shao, Alvis Cheuk M. Fong, Longjun Sun, Ying Ding, Ling Zhou, Jarder Luo

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Finding topic-level experts in scholarly networks.

Lili Lin, Zhuoming Xu, Ying Ding, Xiaozhong Liu

Scientometrics, 2013

OWL Ontology Extraction from Relational Databases via Database Reverse Engineering.

Lili Lin, Zhuoming Xu, Ying Ding

J. Softw., 2013

A bird's-eye view of scientific trading: Dependency relations among fields of science.

Erjia Yan, Ying Ding, Blaise Cronin, Loet Leydesdorff

J. Informetrics, 2013

Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective.

Bing He, Ying Ding, Jie Tang, Vignesh Reguramalingam, Johan Bollen

J. Informetrics, 2013

The distribution of references across texts: Some implications for citation analysis.

Ying Ding, Xiaozhong Liu, Chun Guo, Blaise Cronin

J. Informetrics, 2013

Citation content analysis (CCA): A framework for syntactic and semantic analysis of citation content.

Guo Zhang, Ying Ding, Stasa Milojevic

J. Assoc. Inf. Sci. Technol., 2013

Journal impact and proximity: An assessment using bibliographic features.

Chaoqun Ni, Debora Shaw, Sean M. Lind, Ying Ding

J. Assoc. Inf. Sci. Technol., 2013

Meta Path-Based Collective Classification in Heterogeneous Information Networks

Xiangnan Kong, Bokai Cao, Philip S. Yu, Ying Ding, David J. Wild

CoRR, 2013

Collective allocation of science funding: from funding agencies to scientific agency

Johan Bollen, David J. Crandall, Damion Junk, Ying Ding, Katy Börner

CoRR, 2013

Entitymetrics: Measuring the Impact of Entities.

Ying Ding, Min Song, Jia Han, Qi Yu, Erjia Yan, Lili Lin, Tamy Chambers

CoRR, 2013

Workshop summary for the 2013 international workshop on mining unstructured big data using natural language processing.

Xiaozhong Liu, Miao Chen, Ying Ding, Min Song

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Bilingual researcher profiles: Modeling dutch researchers in both english and dutch using the VIVO ontology.

Tamy Chambers, Sahil Shah, Ashish Urankar, Venkat Kalyan, Andrea Scharnhorst, Linda Reijnhoudt, Laura Ridenour, Christophe Guéret, Ying Ding

Proceedings of the Beyond the Cloud: Rethinking Information Boundaries, 2013

2012

VIVO: A Semantic Approach to Scholarly Networking and Discovery

Katy Börner, Michael Conlon, Jon Corson-Rikert, Ying Ding

Synthesis Lectures on the Semantic Web, Morgan & Claypool Publishers, ISBN: 978-3-031-79435-3, 2012

Overlaying communities and topics: an analysis on publication networks.

Erjia Yan, Ying Ding, Elin K. Jacob

Scientometrics, 2012

Assessing Drug Target Association Using Semantic Linked Data.

Bin Chen, Ying Ding, David J. Wild

PLoS Comput. Biol., 2012

Topics in dynamic research communities: An exploratory study for the field of information retrieval.

Erjia Yan, Ying Ding, Stasa Milojevic, Cassidy R. Sugimoto

J. Informetrics, 2012

Adding community and dynamic to topic models.

Daifeng Li, Ying Ding, Xin Shuai, Johan Bollen, Jie Tang, Shanshan Chen, Jiayi Zhu, Guilherme Rocha

J. Informetrics, 2012

Mining patterns of author orders in scientific publications.

Bing He, Ying Ding, Erjia Yan

J. Informetrics, 2012

Improving integrative searching of systems chemical biology data using semantic annotation.

Bin Chen, Ying Ding, David J. Wild

J. Cheminformatics, 2012

Scholarly network similarities: How bibliographic coupling networks, citation networks, cocitation networks, topical networks, coauthorship networks, and coword networks relate to each other.

Erjia Yan, Ying Ding

J. Assoc. Inf. Sci. Technol., 2012

The dynamic features of Delicious, Flickr, and YouTube.

Nan Lin, Daifeng Li, Ying Ding, Bing He, Zheng Qin, Jie Tang, Juanzi Li, Tianxi Dong

J. Assoc. Inf. Sci. Technol., 2012

Information Concepts, Retrieval, and Services [Series].

Ying Ding

J. Assoc. Inf. Sci. Technol., 2012

Modeling Indirect Influence on Twitter.

Xin Shuai, Ying Ding, Jerome R. Busemeyer, Shanshan Chen, Yuyin Sun, Jie Tang

Int. J. Semantic Web Inf. Syst., 2012

What is the Nature of Tencent Weibo: Detect the Unique Features of Tencent Users

Daifeng Li, Jingwei Zhang, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo

CoRR, 2012

Topic-Level Opinion Influence Model(TOIM): An Investigation Using Tencent Micro-Blogging

Daifeng Li, Ying Ding, Xin Shuai, Golden Guo-Zheng Sun, Jie Tang, Zhipeng Luo, Jingwei Zhang, Guo Zhang

CoRR, 2012

Multiple spreaders affect the indirect influence on twitter.

Xin Shuai, Ying Ding, Jerome R. Busemeyer

Proceedings of the 21st World Wide Web Conference, 2012

How can spreaders affect the indirect infuence on twitter?

Xin Shuai, Ying Ding, Jerome R. Busemeyer

Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

Mining competitive relationships by learning across heterogeneous networks.

Yang Yang, Jie Tang, Jacklyne Keomany, Yanting Zhao, Juanzi Li, Ying Ding, Tian Li, Liangwei Wang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Mining topic-level opinion influence in microblog.

Daifeng Li, Xin Shuai, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Meta path-based collective classification in heterogeneous information networks.

Xiangnan Kong, Philip S. Yu, Ying Ding, David J. Wild

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Scholarly conformity: Origins, framework, applications and implications.

Guo Zhang, Ying Ding

Proceedings of the Information, Interaction, Innovation: Celebrating the Past, Constructing the Present and Creating the Future, 2012

Monitoring knowledge flow through scholarly networks.

Erjia Yan, Ying Ding, Xiangnan Kong

Proceedings of the Information, Interaction, Innovation: Celebrating the Past, Constructing the Present and Creating the Future, 2012

Library and information science in the big data era: Funding, projects, and future [a panel proposal].

Cassidy R. Sugimoto, Ying Ding, Mike Thelwall

Proceedings of the Information, Interaction, Innovation: Celebrating the Past, Constructing the Present and Creating the Future, 2012

2011

Community detection: Topological vs. topical.

Ying Ding

J. Informetrics, 2011

Scientific collaboration and endorsement: Network analysis of coauthorship and citation networks.

Ying Ding

J. Informetrics, 2011

P-Rank: An indicator measuring prestige in heterogeneous scholarly networks.

Erjia Yan, Ying Ding, Cassidy R. Sugimoto

J. Assoc. Inf. Sci. Technol., 2011

The shifting sands of disciplinary development: Analyzing North American Library and Information Science dissertations using latent Dirichlet allocation.

Cassidy R. Sugimoto, Daifeng Li, Terrell G. Russell, S. Craig Finlay, Ying Ding

J. Assoc. Inf. Sci. Technol., 2011

The cognitive structure of Library and Information Science: Analysis of article title words.

Stasa Milojevic, Cassidy R. Sugimoto, Erjia Yan, Ying Ding

J. Assoc. Inf. Sci. Technol., 2011

Modeling topic and community structure in social tagging: The TTR-LDA-Community model.

Daifeng Li, Ying Ding, Cassidy R. Sugimoto, Bing He, Jie Tang, Erjia Yan, Nan Lin, Zheng Qin, Tianxi Dong

J. Assoc. Inf. Sci. Technol., 2011

Mining enriched contextual information of scientific collaboration: A meso perspective.

Bing He, Ying Ding, Chaoqun Ni

J. Assoc. Inf. Sci. Technol., 2011

Topic-based PageRank on author cocitation networks.

Ying Ding

J. Assoc. Inf. Sci. Technol., 2011

Applying weighted PageRank to author citation networks.

Ying Ding

J. Assoc. Inf. Sci. Technol., 2011

Discovering author impact: A PageRank perspective.

Erjia Yan, Ying Ding

Inf. Process. Manag., 2011

Popular and/or prestigious? Measures of scholarly esteem.

Ying Ding, Blaise Cronin

Inf. Process. Manag., 2011

Does Quantum Interference exist in Twitter?

Xin Shuai, Ying Ding, Jerome R. Busemeyer, Yuyin Sun, Shanshan Chen, Jie Tang

CoRR, 2011

Semantic Inference using Chemogenomics Data for Drug Discovery.

Qian Zhu, Yuyin Sun, Sashikiran Challa, Ying Ding, Michael S. Lajiness, David J. Wild

BMC Bioinform., 2011

Library and information science (LIS) as we see it: An overview at the state and country level from 1965-2010.

Erjia Yan, Ying Ding

Proceedings of the Bridging the Gulf: Communication and Information in Society, Technology, and Work, 2011

2010

Mapping library and information science in China: a coauthorship network analysis.

Erjia Yan, Ying Ding, Qinghua Zhu

Scientometrics, 2010

Semantic Web: Who is who in the field - a bibliometric analysis.

Ying Ding

J. Inf. Sci., 2010

WENDI: A tool for finding non-obvious relationships between compounds and biological properties, genes, diseases and scholarly publications.

Qian Zhu, Michael S. Lajiness, Ying Ding, David J. Wild

J. Cheminformatics, 2010

Weighted citation: An indicator of an article's prestige.

Erjia Yan, Ying Ding

J. Assoc. Inf. Sci. Technol., 2010

Upper tag ontology for integrating social tagging data.

Ying Ding, Elin K. Jacob, Michael A. H. Fried, Ioan Toma, Erjia Yan, Schubert Foo, Stasa Milojevic

J. Assoc. Inf. Sci. Technol., 2010

Upper Tag Ontology (UTO) For Integrating Social Tagging Data

Ying Ding, Elin K. Jacob, Michael A. H. Fried, Ioan Toma, Erjia Yan, Schubert Foo

CoRR, 2010

Chem2Bio2RDF: A Linked Open Data Portal for Chemical Biology

Bin Chen, David J. Wild, Qian Zhu, Ying Ding, Xiao Dong, Madhuvanthi Sankaranarayanan, Huijun Wang, Yuyin Sun

CoRR, 2010

Chem2Bio2RDF: a semantic framework for linking and data mining chemogenomic and systems chemical biology data.

Bin Chen, Xiao Dong, Dazhi Jiao, Huijun Wang, Qian Zhu, Ying Ding, David J. Wild

BMC Bioinform., 2010

Using Web Technologies for Integrative Drug Discovery.

Qian Zhu, Sashikiran Challa, Prajakta Purohit, Yuyin Sun, Michael S. Lajiness, David J. Wild, Ying Ding

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Muzk Mesh: Interlinking Semantic Music Data.

Mayank Singhi, Ying Ding, Yuyin Sun

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Modeling Ontology of Folksonomy with Latent Semantics of Tags.

Ali Daud, Juanzi Li, Lizhu Zhou, Lei Zhang, Ying Ding, Faqir Muhammad

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Chem2Bio2RDF: A Linked Open Data Portal for Systems Chemical Biology.

Bin Chen, Ying Ding, Huijun Wang, David J. Wild, Xiao Dong, Yuyin Sun, Qian Zhu, Madhuvanthi Sankaranarayanan

Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Community-based topic modeling for social tagging.

Daifeng Li, Bing He, Ying Ding, Jie Tang, Cassidy R. Sugimoto, Zheng Qin, Erjia Yan, Juanzi Li, Tianxi Dong

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Optimizing Semantic Web Services Ranking Using Parallelization and Rank Aggregation Techniques.

Ioan Toma, Ying Ding, Dieter Fensel

Proceedings of the INFORMATIK 2010 - Business Process and Service Science - Proceedings of ISSS and BPSC, September 27, 2010

Dynamic Features of Social Tagging Vocabulary: Delicious, Flickr and YouTube.

Daifeng Li, Ying Ding, Zheng Qin, Stasa Milojevic, Bing He, Erjia Yan, Tianxi Dong

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

Measuring scholarly impact in heterogeneous networks.

Erjia Yan, Ying Ding

Proceedings of the Navigating Streams in an Information Ecosystem, 2010

Journal clustering through interlocking editorship information.

Chaoqun Ni, Ying Ding

Proceedings of the Navigating Streams in an Information Ecosystem, 2010

A Comparative analysis of user-generated and author-generated metadata for web resources.

Bing He, Ying Ding, Stasa Milojevic, Elin K. Jacob

Proceedings of the Navigating Streams in an Information Ecosystem, 2010

Semantic Web Portal: A Platform for Better Browsing and Visualizing Semantic Data.

Ying Ding, Yuyin Sun, Bin Chen, Katy Börner, Li Ding, David J. Wild, Melanie Wu, Dominic DiFranzo, Alvaro Graves Fuenzalida, Daifeng Li

Proceedings of the Active Media Technology, 6th International Conference, 2010

2009

Applying centrality measures to impact analysis: A coauthorship network analysis.

Erjia Yan, Ying Ding

J. Assoc. Inf. Sci. Technol., 2009

PageRank for ranking authors in co-citation networks.

Ying Ding, Erjia Yan, Arthur R. Frazho, James Caverlee

J. Assoc. Inf. Sci. Technol., 2009

Perspectives on social tagging.

Ying Ding, Elin K. Jacob, Zhixiong Zhang, Schubert Foo, Erjia Yan, Nicolas L. George, Lijiang Guo

J. Assoc. Inf. Sci. Technol., 2009

Profiling Social Networks: A Social Tagging Perspective.

Ying Ding, Elin K. Jacob, James Caverlee, Michael A. H. Fried, Zhixiong Zhang

D Lib Mag., 2009

A Categorical Model for Discovering Latent Structure in Social Annotations.

Said Kashoob, James Caverlee, Ying Ding

Proceedings of the Third International Conference on Weblogs and Social Media, 2009

Utilizing Web2.0 in Web Service Ranking.

Ioan Toma, Ying Ding, Krissada Chalermsook, Elena Simperl, Dieter Fensel

Proceedings of the Third International Conference on the Digital Society (ICDS 2009), 2009

Semantic Rules on Drug Discovery Data.

Sashikiran Challa, David J. Wild, Ying Ding, Qian Zhu

Proceedings of the Semantic Web, Fourth Asian Conference, 2009

2008

WWW 2008 workshop on social web search and mining: SWSM2008.

Juan-Zi Li, Gui-Rong Xue, Jie Tang, Ying Ding

Proceedings of the 17th International Conference on World Wide Web, 2008

Integrating social tagging data: Upper Tag Ontology (UTO).

Ying Ding, Ioan Toma, Michael A. H. Fried, Sin-Jae Kang, Zhixian Yan

Proceedings of the IEEE International Conference on Systems, 2008

Mediating and Analyzing Social Data.

Ying Ding, Ioan Toma, Sin-Jae Kang, Zhixiong Zhang, Michael A. H. Fried

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2008, 2008

2007

TSC - Triple Space Computing.

Dieter Fensel, Reto Krummenacher, M. Omair Shafiq, Eva Kühn, Johannes Riemer, Ying Ding, Bernd Draxler

Elektrotech. Informationstechnik, 2007

Towards Correspondence Patterns for Ontology Mediation.

François Scharffe, Ying Ding, Dieter Fensel

Proceedings of the 2nd International Workshop on Ontology Matching (OM-2007) Collocated with the 6th International Semantic Web Conference (ISWC-2007) and the 2nd Asian Semantic Web Conference (ASWC-2007), 2007

EASAIER Semantic Music Retrieval Portal.

Michael Luger, Ying Ding, François Scharffe, Rubing Duan, Zhixian Yan

Proceedings of the Poster and Demo Proceedings of the 2nd International Conference on Semantic and Digital Media Technologies, 2007

Semantic Search on Cross-Media Cultural Archives.

Zhixian Yan, François Scharffe, Ying Ding

Proceedings of the Advances in Intelligent Web Mastering, Proceedings of the 5th Atlantic Web Intelligence Conference - AWIC 2007, Fontainebleau, France, June 25, 2007

2006

Avoiding Deceptive Annotations in the Semantic Web.

Yihong Ding, David W. Embley, Ying Ding, M. Omair Shafiq

Proceedings of the 1st Semantic Authoring and Annotation Workshop (SAAW2006) located at the 5th International Semantic Web Conference ( ISWC 2006 ) 6th November 2006, 2006

Triple Space Computing Middleware for Semantic Web Services.

M. Omair Shafiq, Reto Krummenacher, Francisco Martín-Recuerda, Ying Ding, Dieter Fensel

Proceedings of the Tenth IEEE International Enterprise Distributed Object Computing Conference (EDOC 2006), 2006

Bridging Multi Agent Systems and Web Services: towards interoperability between Software Agents and Semantic Web Services.

M. Omair Shafiq, Ying Ding, Dieter Fensel

Proceedings of the Tenth IEEE International Enterprise Distributed Object Computing Conference (EDOC 2006), 2006

Data Mediation Support for Triple Space Computing.

M. Omair Shafiq, François Scharffe, Reto Krummenacher, Ying Ding, Dieter Fensel

Proceedings of the 2nd International ICST Conference on Collaborative Computing: Networking, 2006

Triple Space Computing: Adding Semantics to Space-Based Computing.

Johannes Riemer, Francisco Martín-Recuerda, Ying Ding, Martin Murth, Brahmananda Sapkota, Reto Krummenacher, M. Omair Shafiq, Dieter Fensel, Eva Kühn

Proceedings of the Semantic Web, 2006

2005

Semantic web portals: state-of-the-art survey.

Holger Lausen, Ying Ding, Michael Stollberg, Dieter Fensel, Rubén Lara Hernandez, Sung-Kook Han

J. Knowl. Manag., 2005

2004

Semantic Aspects of Web Services.

Sinuhé Arroyo, Rubén Lara, Juan Miguel Gómez, David Berka, Ying Ding, Dieter Fensel

Proceedings of the Practical Handbook of Internet Computing., 2004

Towards Semantic Web Portals.

Michael Stollberg, Holger Lausen, Rubén Lara, Ying Ding, Sung-Kook Han, Dieter Fensel

Proceedings of the WWW2004 Workshop on Application Design, 2004

The Role of Ontologies in eCommerce.

Ying Ding, Dieter Fensel, Michel C. A. Klein, Borys Omelayenko, Ellen Schulten

Proceedings of the Handbook on Ontologies, 2004

2003

UPML: The Language and Tool Support for Making the Semantic Web Alive.

Borys Omelayenko, Monica Crubézy, Dieter Fensel, V. Richard Benjamins, Bob J. Wielinga, Enrico Motta, Mark A. Musen, Ying Ding

Proceedings of the Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential [outcome of a Dagstuhl seminar], 2003

2002

Ontology research and development. Part 2 - a review of ontology mapping and evolving.

Ying Ding, Schubert Foo

J. Inf. Sci., 2002

Ontology research and development. Part 1 - a review of ontology generation.

Ying Ding, Schubert Foo

J. Inf. Sci., 2002

The semantic web: yet another hip?

Ying Ding, Dieter Fensel, Michel C. A. Klein, Borys Omelayenko

Data Knowl. Eng., 2002

GoldenBullet in a Nutshell.

Ying Ding, Maksym Korotkiy, Borys Omelayenko, Vera Kartseva, Volodymyr Zykov, Michel C. A. Klein, Ellen Schulten, Dieter Fensel

Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002

2001

Scholarly communications in information retrieval : a cocitation analysis and its applications

Ying Ding

PhD thesis, 2001

A review of ontologies with the Semantic Web in view.

Ying Ding

J. Inf. Sci., 2001

Bibliometric cartography of information retrieval research by using co-word analysis.

Ying Ding, Gobinda G. Chowdhury, Schubert Foo

Inf. Process. Manag., 2001

Product Data Integration in B2B E-Commerce.

Dieter Fensel, Ying Ding, Borys Omelayenko, Ellen Schulten, Guy Botquin, Mike Brown, Alan Flett

IEEE Intell. Syst., 2001

Ontology Library Systems: The key to successful Ontology Reuse.

Ying Ding, Dieter Fensel

Proceedings of SWWS'01, The first Semantic Web Working Symposium, Stanford University, California, USA, July 30, 2001

2000

Journal as Markers of Intellectual Space: Journal Co-Citation Analysis of Information Retrieval Area, 1987-1997.

Ying Ding, Gobinda G. Chowdhury, Schubert Foo

Scientometrics, 2000

Incorporating the results of co-word analyses to increase search variety for information retrieval.

Ying Ding, Gobinda G. Chowdhury, Schubert Foo

J. Inf. Sci., 2000

Bibliometric information retrieval system (BIRS): A web search interface utilizing bibliometric research results.

Ying Ding, Gobinda G. Chowdhury, Schubert Foo, Weizhong Qian

J. Am. Soc. Inf. Sci., 2000

1999

Mapping the intellectual structure of information retrieval studies: an author co-citation analysis, 1987-1997.

Ying Ding, Gobinda G. Chowdhury, Schubert Foo

J. Inf. Sci., 1999