Collaboration Prediction in Heterogeneous Information Networks. - Shuhong Zhang; Feng Xia 001; Jun Zhang 048; Xiaomei Bai; Zhaolong Ning (SmartCity, 2015)

Context-Based Collaborative Filtering for Citation Recommendation. - Haifeng Liu; Xiangjie Kong 001; Xiaomei Bai; Wei Wang 077; Teshome Megersa Bekele; Feng Xia 001 (IEEE Access, 2015)

Mining Implicit Correlations between Users with the Same Role for Trust-Aware Recommendation. - Haifeng Liu; Zhuo Yang; Jun Zhang 048; Xiaomei Bai; Wei Wang 077; Feng Xia 001 (KSII Trans. Internet Inf. Syst., 2015)

Trust-aware recommendation for improving aggregate diversity. - Haifeng Liu; Xiaomei Bai; Zhuo Yang; Amr Tolba; Feng Xia 001 (New Rev. Hypermedia Multim., 2015)

Who are the Rising Stars in Academia? - Jun Zhang 048; Zhaolong Ning; Xiaomei Bai; Wei Wang 077; Shuo Yu 001; Feng Xia 001 (JCDL, 2016)

PNCOIRank: Evaluating the Impact of Scholarly Articles with Positive and Negative Citations. - Xiaomei Bai; Jun Zhang 048; Hai Cui; Zhaolong Ning; Feng Xia 001 (WWW (Companion Volume), 2016)

CocaRank: A Collaboration Caliber-based Method for Finding Academic Rising Stars. - Jun Zhang 048; Feng Xia 001; Wei Wang 077; Xiaomei Bai; Shuo Yu 001; Teshome Megersa Bekele; Zhong Peng (WWW (Companion Volume), 2016)

A Hybrid Mechanism for Innovation Diffusion in Social Networks. - Jun Zhang 048; Feng Xia 001; Zhaolong Ning; Teshome Megersa Bekele; Xiaomei Bai; Xiaoyan Su; Jinzhong Wang (IEEE Access, 2016)

Evaluating the Impact of Articles with Geographical Distances between Institutions. - Xiaomei Bai; Jie Hou; Hongzhuang Du; Xiangjie Kong 001; Feng Xia 001 (WWW (Companion Volume), 2017)

The Role of Positive and Negative Citations in Scientific Evaluation. - Xiaomei Bai; Ivan Lee 001; Zhaolong Ning; Amr Tolba; Feng Xia 001 (IEEE Access, 2017)

Implicit Multi-Feature Learning for Dynamic Time Series Prediction of the Impact of Institutions. - Xiaomei Bai; Fuli Zhang; Jie Hou; Feng Xia 001; Amr Tolba; Elsayed Elashkar (IEEE Access, 2017)

An Overview on Evaluating and Predicting Scholarly Article Impact. - Xiaomei Bai; Hui Liu; Fuli Zhang; Zhaolong Ning; Xiangjie Kong 001; Ivan Lee 001; Feng Xia 001 (Inf., 2017)

From triadic closure to conference closure: the role of academic conferences in promoting scientific collaborations. - Wei Wang 077; Xiaomei Bai; Feng Xia 001; Teshome Megersa Bekele; Xiaoyan Su; Amr Tolba (Scientometrics, 2017)

Exploring time factors in measuring the scientific impact of scholars. - Jun Zhang 048; Zhaolong Ning; Xiaomei Bai; Xiangjie Kong 001; Jinmeng Zhou; Feng Xia 001 (Scientometrics, 2017)

Predicting the Number of Publications for Scholarly Networks. - Xiaomei Bai (IEEE Access, 2018)

Artificial Intelligence in the 21st Century. - Jiaying Liu 006; Xiangjie Kong 001; Feng Xia 001; Xiaomei Bai; Lei Wang 134; Qing Qing; Ivan Lee 001 (IEEE Access, 2018)

The Feasibility Study of Augmented Reality Technology in Early Childhood Education. - Yang Kuang; Xiaomei Bai (ICCSE, 2019)

Scientific Paper Recommendation: A Survey. - Xiaomei Bai; Mengyang Wang; Ivan Lee 001; Zhuo Yang; Xiangjie Kong 001; Feng Xia 001 (IEEE Access, 2019)

Author Impact: Evaluations, Predictions, and Challenges. - Fuli Zhang; Xiaomei Bai; Ivan Lee 001 (IEEE Access, 2019)

Predicting the citations of scholarly paper. - Xiaomei Bai; Fuli Zhang; Ivan Lee 001 (J. Informetrics, 2019)

Skill ranking of researchers via hypergraph. - Xiangjie Kong 001; Lei Liu; Shuo Yu 001; Andong Yang; Xiaomei Bai; Bo Xu 008 (PeerJ Prepr., 2019)

Scholarly impact assessment: a survey of citation weighting solutions. - Liwei Cai; Jiahao Tian; Jiaying Liu 006; Xiaomei Bai; Ivan Lee 001; Xiangjie Kong 001; Feng Xia 001 (Scientometrics, 2019)

Graduate Employment Prediction with Bias. - Teng Guo; Feng Xia 001; Shihao Zhen; Xiaomei Bai; Dongyu Zhang 001; Zitao Liu 001; Jiliang Tang (AAAI, 2020)

Quantifying Success in Science: An Overview. - Xiaomei Bai; Hanxiao Pan; Jie Hou; Teng Guo; Ivan Lee 001; Feng Xia 001 (IEEE Access, 2020)

Measure the Impact of Institution and Paper Via Institution-Citation Network. - Xiaomei Bai; Fuli Zhang; Jin Ni; Lei Shi; Ivan Lee 001 (IEEE Access, 2020)

Quantifying the Impact of Scholarly Papers Based on Higher-Order Weighted Citations. - Xiaomei Bai; Fuli Zhang; Jie Hou; Ivan Lee 001; Xiangjie Kong 001; Amr Tolba; Feng Xia 001 (CoRR, 2020)

KIDNet: A Knowledge-Aware Neural Network Model for Academic Performance Prediction. - Tao Tang 007; Jie Hou; Teng Guo; Xiaomei Bai; Xue Tian; Azadeh Noori Hoshyar (WI/IAT (Workshop/Special Session), 2021)

Educational Big Data: Predictions, Applications and Challenges. - Xiaomei Bai; Fuli Zhang; Jinzhou Li; Teng Guo; Abdul Aziz; Aijing Jin; Feng Xia 001 (Big Data Res., 2021)

Sports Big Data: Management, Analysis, Applications, and Challenges. - Zhongbo Bai; Xiaomei Bai (Complex., 2021)

Educational Anomaly Analytics: Features, Methods, and Challenges. - Teng Guo; Xiaomei Bai; Xue Tian; Selena Firmin; Feng Xia 001 (Frontiers Big Data, 2021)

Quantifying scientific collaboration impact by exploiting collaboration-citation network. - Xiaomei Bai; Fuli Zhang; Jinzhou Li; Zhong Xu; Zeeshan Patoli; Ivan Lee 001 (Scientometrics, 2021)

SUMMER: Bias-aware Prediction of Graduate Employment Based on Educational Big Data. - Feng Xia 001; Teng Guo; Xiaomei Bai; Adrian Shatte; Zitao Liu 001; Jiliang Tang (Trans. Data Sci., 2021)

Towards Understanding the Analysis, Models, and Future Directions of Sports Social Networks. - Zhongbo Bai; Xiaomei Bai (Complex., 2022)

Lost at starting line: Predicting maladaptation of university freshmen based on educational big data. - Teng Guo; Xiaomei Bai; Shihao Zhen; Shagufta Abid; Feng Xia 001 (J. Assoc. Inf. Sci. Technol., 2023)

Quantifying the impact of scientific collaboration and papers via motif-based heterogeneous networks. - Xiaomei Bai; Fuli Zhang; Jiaying Liu 006; Feng Xia 001 (J. Informetrics, 2023)

Anomalous citations detection in academic networks. - Jiaying Liu 006; Xiaomei Bai; Mengying Wang 004; Suppawong Tuarob; Feng Xia 001 (Artif. Intell. Rev., 2024)

Multiple Instance Learning for Cheating Detection and Localization in Online Examinations. - Yemeng Liu; Jing Ren 001; Jianshuo Xu; Xiaomei Bai; Roopdeep Kaur; Feng Xia 001 (IEEE Trans. Cogn. Dev. Syst., 2024)

Physics-Informed Explainable Continual Learning on Graphs. - Ciyuan Peng; Tao Tang 007; Qiuyang Yin; Xiaomei Bai; Suryani Lim; Charu C. Aggarwal (IEEE Trans. Neural Networks Learn. Syst., 2024)

EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection. - Jing Ren 001; Mingliang Hou; Zhixuan Liu; Xiaomei Bai (CoRR, 2025)

mBGT: Encoding Brain Signals With Multimodal Brain Graph Transformer. - Ciyuan Peng; Tianqi Guo; Chengyao Xie; Xiaomei Bai; Jingjing Zhou; Xiaohui Zhao; Estrid He; Feng Xia 001 (IEEE Trans. Consumer Electron., 2025)

Revolutionizing scholarly impact: advanced evaluations, predictive models, and future directions. - Xiaomei Bai; Fuli Zhang; Jiaying Liu 019; Xiaoxia Wang; Feng Xia (Artif. Intell. Rev., 2025)