The Dynamic Generation of Refining Categories in Ontology-Based Search. - Yongjun Zhu; Dongkyu Jeon; Wooju Kim; June Seok Hong; Myungjin Lee; Zhuguang Wen; Yanhua Cai (JIST, 2012)

Dynamic faceted navigation in decision making using Semantic Web technology. - Hak-Jin Kim; Yongjun Zhu; Wooju Kim; Taimao Sun (Decis. Support Syst., 2014)

Quantitative exploration into the diffusion process of creative ideas in economics: Nobel prize laureates. - Meen Chul Kim; Yuanyuan Feng; Yongjun Zhu; Qing Ping (ASIST, 2015)

Methodologies for Semi-automated Conceptual Data Modeling from Requirements. - Il-Yeol Song; Yongjun Zhu; Hyithaek Ceong; Ornsiri Thonggoom (ER, 2015)

Design for an Interference-Suppressing DMX512 Protocol Expansion and Repeater. - Xueli Zhu; Shuxian Zhu; Yongjun Zhu; Shenghui Guo; Hanwen Gao (IScIDE (2), 2015)

Topological analysis of interdisciplinary scientific journals: which journals will be the next nature or science? - Yongjun Zhu; Erjia Yan; Il-Yeol Song (RACS, 2015)

Identifying entities from scientific publications: A comparison of vocabulary- and model-based methods. - Erjia Yan; Yongjun Zhu (J. Informetrics, 2015)

Dynamic subfield analysis of disciplines: an examination of the trading impact and knowledge diffusion patterns of computer science. - Yongjun Zhu; Erjia Yan (Scientometrics, 2015)

Big data and data science: what should we teach? - Il-Yeol Song; Yongjun Zhu (Expert Syst. J. Knowl. Eng., 2016)

A Model-Based Method for Information Alignment: A Case Study on Educational Standards. - Namyoun Choi; Il-Yeol Song; Yongjun Zhu (J. Comput. Sci. Eng., 2016)

A new definition and formula of entropy for intuitionistic fuzzy sets. - Yongjun Zhu; Deng-Feng Li 001 (J. Intell. Fuzzy Syst., 2016)

Searching bibliographic data using graphs: A visual graph query interface. - Yongjun Zhu; Erjia Yan (J. Informetrics, 2016)

How are they different? A quantitative domain comparison of information visualization and data visualization (2000-2014). - Meen Chul Kim; Yongjun Zhu; Chaomei Chen (Scientometrics, 2016)

Understanding the evolving academic landscape of library and information science through faculty hiring data. - Yongjun Zhu; Erjia Yan; Min Song 001 (Scientometrics, 2016)

Word semantic change: The law of differentiation vs. the law of parallel change. - Erjia Yan; Yongjun Zhu (ISSI, 2017)

A natural language interface to a graph-based bibliographic information retrieval system. - Yongjun Zhu; Erjia Yan; Il-Yeol Song (Data Knowl. Eng., 2017)

An investigation of the intellectual structure of opinion mining research. - Yongjun Zhu; Meen Chul Kim; Chaomei Chen (Inf. Res., 2017)

Adding the dimension of knowledge trading to source impact assessment: Approaches, indicators, and implications. - Erjia Yan; Yongjun Zhu (J. Assoc. Inf. Sci. Technol., 2017)

The use of a graph-based system to improve bibliographic information retrieval: System design, implementation, and evaluation. - Yongjun Zhu; Erjia Yan; Il-Yeol Song (J. Assoc. Inf. Sci. Technol., 2017)

Big Data and Data Science: Opportunities and Challenges of iSchools. - Il-Yeol Song; Yongjun Zhu (J. Data Inf. Sci., 2017)

Examining academic ranking and inequality in library and information science through faculty hiring networks. - Yongjun Zhu; Erjia Yan (J. Informetrics, 2017)

Semantic relatedness and similarity of biomedical terms: examining the effects of recency, size, and section of biomedical publications on the performance of word2vec. - Yongjun Zhu; Erjia Yan; Fei Wang 001 (BMC Medical Informatics Decis. Mak., 2017)

Evaluating interactive bibliographic information retrieval systems: A user-centered approach. - Yongjun Zhu; Meen Chul Kim; Erjia Yan (ASIST, 2018)

Comparing Sex-Specific Association Networks of Chronic Medical Conditions. - Min-hyung Kim; Yongjun Zhu; Samprit Banerjee; Lauren Evans; Yiye Zhang; Fei Wang 001; Sang Min Park; Jyotishman Pathak (ICHI, 2018)

The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations. - Xi Zhang; Dandi Chen; Yongjun Zhu; Chao Che; Chang Su 002; Sendong Zhao; Xu Min; Fei Wang 001 (CoRR, 2018)

Tracking word semantic change in biomedical literature. - Erjia Yan; Yongjun Zhu (Int. J. Medical Informatics, 2018)

Association networks in a matched case-control design - Co-occurrence patterns of preexisting chronic medical conditions in patients with major depression versus their matched controls. - Min-hyung Kim; Samprit Banerjee; Yize Zhao; Fei Wang 001; Yiye Zhang; Yongjun Zhu; Joseph DeFerio; Lauren Evans; Sang Min Park; Jyotishman Pathak (J. Biomed. Informatics, 2018)

Energy-Neutral Communication Protocol for Living-Tree Bioenergy-Powered Wireless Sensor Network. - Yin Wu; Bowen Li; Yongjun Zhu; Wenbo Liu 001 (Mob. Inf. Syst., 2018)

Joint modeling of the association between NIH funding and its three primary outcomes: patents, publications, and citation impact. - Fengqing (Zoe) Zhang; Erjia Yan; Xin Niu; Yongjun Zhu (Scientometrics, 2018)

Analyzing public opinion toward the 2019 North Korea-United States summit through mining twitter. - Jaewon Kim; Ji-young Kim; Yongjun Zhu (ASIST, 2019)

A study for categorizing relations between headword and aliases. - Jiyoun Kim; Youngeun Koo; Yongjun Zhu (ASIST, 2019)

An analysis of physical characteristics of Joseon Dynasty books using statistical approaches. - Jaehyuk Yun; Yongjun Zhu (ASIST, 2019)

Abnormal interhemispheric functional interactions in drug-naïve adult-onset first episode psychosis patients. - Danni Wang; Kaiming Zhuo; Yongjun Zhu; Dengtang Liu; Yao Li (EMBC, 2019)

Drug knowledge bases and their applications in biomedical informatics research. - Yongjun Zhu; Olivier Elemento; Jyotishman Pathak; Fei Wang 001 (Briefings Bioinform., 2019)

Nine Million Books and Eleven Million Citations: A Study of Book-Based Scholarly Communication Using OpenCitations. - Yongjun Zhu; Erjia Yan; Silvio Peroni; Chao Che (CoRR, 2019)

Designing an Image Encryption Scheme Based on Compressive Sensing and Non-Uniform Quantization for Wireless Visual Sensor Networks. - Qian Shen 002; Wenbo Liu 001; Yi Lin; Yongjun Zhu (Sensors, 2019)

Crossref metadata of COCI bibliographic resources, as of November 2018. - Yongjun Zhu; Erjia Yan; Silvio Peroni; Chao Che (Zenodo, 2019)

Crossref metadata of COCI bibliographic resources, as of November 2018 and LCC categories of the ISBN entities in the dataset. - Yongjun Zhu; Erjia Yan; Silvio Peroni; Chao Che (Zenodo, 2019)

A Protein Embedding Model for Drug Molecular Screening. - Chao Che; Min Zhu; Yongjun Zhu; Qiang Zhang 008; Dongsheng Zhou; Bin Wang 005 (BigComp, 2020)

Network embedding in biomedical data science. - Chang Su 002; Jie Tong; Yongjun Zhu; Peng Cui 001; Fei Wang 001 (Briefings Bioinform., 2020)

Knowledge-driven drug repurposing using a comprehensive drug knowledge graph. - Yongjun Zhu; Chao Che; Bo Jin 001; Ningrui Zhang; Chang Su 002; Fei Wang 001 (Health Informatics J., 2020)

Mapping scientific landscapes in UMLS research: a scientometric review. - Meen Chul Kim; Seojin Nam; Fei Wang 001; Yongjun Zhu (J. Am. Medical Informatics Assoc., 2020)

Drug repurposing against Parkinson's disease by text mining the scientific literature. - Yongjun Zhu; Woojin Jung; Fei Wang 001; Chao Che (Libr. Hi Tech, 2020)

Analyzing academic mobility of U.S. professors based on ORCID data and the Carnegie Classification. - Erjia Yan; Yongjun Zhu; Jiangen He (Quant. Sci. Stud., 2020)

Nine million book items and eleven million citations: a study of book-based scholarly communication using OpenCitations. - Yongjun Zhu; Erjia Yan; Silvio Peroni; Chao Che (Scientometrics, 2020)

Embedding-based Neural Network Models for Book Recommendation in University Libraries. - Jaeyoung Choi; Chaeeun Han; Heeyoon Yang; Yeonkyoung Hong; Seoyoung Jeon; Yongjun Zhu (AII@iConference, 2021)

Gender imbalance in the productivity of funded projects: A study of the outputs of National Institutes of Health R01 grants. - Chaojiang Wu; Erjia Yan; Yongjun Zhu; Kai Li 010 (J. Assoc. Inf. Sci. Technol., 2021)

Mapping scientific profile and knowledge diffusion of Library Hi Tech. - Meen Chul Kim; Yuanyuan Feng; Yongjun Zhu (Libr. Hi Tech, 2021)

Analyzing China's research collaboration with the United States in high-impact and high-technology research. - Yongjun Zhu; Donghun Kim; Erjia Yan; Meen Chul Kim; Guanqiu Qi (Quant. Sci. Stud., 2021)

Recommendations with residual connections and negative sampling based on knowledge graphs. - Yuanyuan Liu; Zhaoqian Zhong; Chao Che; Yongjun Zhu (Knowl. Based Syst., 2022)

Bi-graph attention network for aspect category sentiment classification. - Yongxue Shan; Chao Che; Xiaopeng Wei; Xiaodong Wang; Yongjun Zhu; Bo Jin 001 (Knowl. Based Syst., 2022)

A simulation and machine learning based optimization method for integrated pedestrian facilities planning and staff assignment problem in the multi-mode rail transit transfer station. - Hongxiang Zhang; Bisheng He; Gongyuan Lu; Yongjun Zhu (Simul. Model. Pract. Theory, 2022)

CariesFG: A fine-grained RGB image classification framework with attention mechanism for dental caries. - Hao Jiang; Peiliang Zhang; Chao Che; Bo Jin 001; Yongjun Zhu (Eng. Appl. Artif. Intell., 2023)

Coarse trimap expansion based on one-class classification for image matting. - Yihui Liang; Yongjun Zhu; Chunjian Deng; Fujian Feng; Zhaoquan Cai 001 (IET Image Process., 2023)

Structured abstract summarization of scientific articles: Summarization using full-text section information. - Hanseok Oh; Seojin Nam; Yongjun Zhu (J. Assoc. Inf. Sci. Technol., 2023)

Predicting coauthorship using bibliographic network embedding. - Yongjun Zhu; Lihong Quan; Pei-Ying Chen; Meen Chul Kim; Chao Che (J. Assoc. Inf. Sci. Technol., 2023)

IEA-GNN: Anchor-aware graph neural network fused with information entropy for node classification and link prediction. - Peiliang Zhang; Jiatao Chen; Chao Che; Liang Zhang 031; Bo Jin 001; Yongjun Zhu (Inf. Sci., 2023)

Support behind the scenes: the relationship between acknowledgement, coauthor, and citation in Nobel articles. - Wen Lou; Jiangen He; Lingxin Zhang; Zhijie Zhu; Yongjun Zhu (Scientometrics, 2023)

Dynamic Relational Graph Convolutional Network for Metro Passenger Flow Forecasting. - Bisheng He; Yongjun Zhu; Andrea D'Ariano; Keyu Wen; Lufeng Chen (Oper. Res. Forum, 2023)

Regulation of Movement in Pigeons by Electrical Stimulation of FRM Brain Region. - Yexin Zhang; Xiaomin Qi; Yongjun Zhu; Dongyun Wang; Zhenling Su; Xinyu Liu (ATAIT, 2024)

Rhetorical structure parallels research topic in LIS articles: a temporal bibliometrics examination. - Wen Lou; Jiangen He; Qianqian Xu; Zhijie Zhu; Qiwen Lu; Yongjun Zhu (Aslib J. Inf. Manag., 2024)

Stalking Discourse on Reddit: A Comparative Analysis of Pre- and Post-COVID-19 Pandemic Using Big Data. - Sou Hyun Jang; Donghun Kim; Yongjun Zhu; Chunrye Kim (Cyberpsychology Behav. Soc. Netw., 2024)

JSCDS: A Core Data Selection Method with Jason-Shannon Divergence for Caries RGB Images-Efficient Learning. - Peiliang Zhang; Yujia Tong; Chenghu Du; Chao Che; Yongjun Zhu (CoRR, 2024)

Do more heads imply better performance? An empirical study of team thought leaders' impact on scientific team performance. - Yi Zhao; Yuzhuo Wang; Heng Zhang; Donghun Kim; Chao Lu; Yongjun Zhu; Chengzhi Zhang (Inf. Process. Manag., 2024)

Improved stochastic configuration networks with vision patch fusion method for industrial image classification. - Ruilin Li; Wenhua Jiao; Yongjun Zhu (Inf. Sci., 2024)

Dependency, reciprocity, and informal mentorship in predicting long-term research collaboration: A co-authorship matrix-based multivariate time series analysis. - Yongjun Zhu; Donghun Kim; Ting Jiang; Yi Zhao; Jiangen He; Xinyi Chen; Wen Lou (J. Informetrics, 2024)

NCH-DDA: Neighborhood contrastive learning heterogeneous network for drug-disease association prediction. - Peiliang Zhang; Chao Che; Bo Jin 001; Jingling Yuan; Ruixin Li; Yongjun Zhu (Expert Syst. Appl., 2024)

Core Inter-Category Contrastive Learning for Enhancing Robustness of Caries Classification. - Peiliang Zhang; Yaru Chen; Yunjiong Liu; Chao Che; Yongjun Zhu (ICMR, 2025)

Examining the Changes in Bullying Discourse on Reddit: A Comparative Analysis Before and After the COVID-19 Pandemic. - Chunrye Kim; Donghun Kim; Yongjun Zhu; Sou Hyun Jang (Cyberpsychology Behav. Soc. Netw., 2025)

Multi-Category Fusion Contrastive Learning with Core Data Selection for Robust RGB Image-based Dental Caries Classification. - Peiliang Zhang; Yaru Chen; Yunjiong Liu; Chao Che; Yongjun Zhu (Inf. Fusion, 2025)

Representational Alignment with Chemical Induced Fit for Molecular Relational Learning. - Peiliang Zhang; Jingling Yuan; Qing Xie 002; Yongjun Zhu; Lin Li 001 (CoRR, 2025)