Zeping Ren

1.0k total citations
11 papers, 180 citations indexed

About

Zeping Ren is a scholar working on Health Information Management, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Zeping Ren has authored 11 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Health Information Management, 3 papers in Artificial Intelligence and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Zeping Ren's work include Artificial Intelligence in Healthcare (3 papers), Nutritional Studies and Diet (3 papers) and Bayesian Modeling and Causal Inference (2 papers). Zeping Ren is often cited by papers focused on Artificial Intelligence in Healthcare (3 papers), Nutritional Studies and Diet (3 papers) and Bayesian Modeling and Causal Inference (2 papers). Zeping Ren collaborates with scholars based in China, United States and Hong Kong. Zeping Ren's co-authors include Lixia Qiu, Xuchun Wang, Hao Ren, Meichen Li, Limin Chen, Yuling He, Xiaojuan Yang, Jinhua Pan, Yansong Tang and Ronghui Li and has published in prestigious journals such as Scientific Reports, Nutrients and BMC Public Health.

In The Last Decade

Zeping Ren

11 papers receiving 178 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zeping Ren China 7 48 35 22 20 20 11 180
Alexandros C. Dimopoulos Greece 10 51 1.1× 44 1.3× 10 0.5× 30 1.5× 47 2.4× 25 343
Lejla Gurbeta Bosnia and Herzegovina 13 117 2.4× 56 1.6× 5 0.2× 12 0.6× 16 0.8× 23 508
Konstantinos Mitsis Greece 7 73 1.5× 70 2.0× 112 5.1× 8 0.4× 10 0.5× 11 275
Bader Aldughayfiq Saudi Arabia 7 39 0.8× 76 2.2× 13 0.6× 4 0.2× 13 0.7× 18 279
Carol Maguire United States 8 13 0.3× 30 0.9× 36 1.6× 5 0.3× 15 0.8× 9 270
Hang Lai China 4 169 3.5× 146 4.2× 38 1.7× 19 0.9× 9 0.5× 6 253
Vaibhav Shukla India 10 38 0.8× 34 1.0× 43 2.0× 2 0.1× 11 0.6× 47 319
Weilun Wang China 10 50 1.0× 57 1.6× 14 0.6× 11 0.6× 80 4.0× 38 367
Xingzhi Sun China 8 24 0.5× 85 2.4× 22 1.0× 3 0.1× 27 1.4× 17 315

Countries citing papers authored by Zeping Ren

Since Specialization
Citations

This map shows the geographic impact of Zeping Ren's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zeping Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeping Ren more than expected).

Fields of papers citing papers by Zeping Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zeping Ren. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zeping Ren. The network helps show where Zeping Ren may publish in the future.

Co-authorship network of co-authors of Zeping Ren

This figure shows the co-authorship network connecting the top 25 collaborators of Zeping Ren. A scholar is included among the top collaborators of Zeping Ren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zeping Ren. Zeping Ren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Fung, Helene H., et al.. (2025). MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animation. 26242–26252. 1 indexed citations
2.
Dai, Yuqin, et al.. (2025). Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion. Proceedings of the AAAI Conference on Artificial Intelligence. 39(3). 2645–2653. 1 indexed citations
3.
Wang, Xuchun, Hao Ren, Wenzhu Song, et al.. (2023). Machine learning-enabled risk prediction of chronic obstructive pulmonary disease with unbalanced data. Computer Methods and Programs in Biomedicine. 230. 107340–107340. 30 indexed citations
4.
Li, Ronghui, Yachao Zhang, Ming‐Yang Su, et al.. (2023). FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation. 10200–10209. 21 indexed citations
5.
Ren, Hao, et al.. (2022). Exploring influencing factors of chronic obstructive pulmonary disease based on elastic net and Bayesian network. Scientific Reports. 12(1). 7563–7563. 14 indexed citations
6.
Wang, Xuchun, Zeping Ren, Hao Ren, et al.. (2021). Exploratory study on classification of diabetes mellitus through a combined Random Forest Classifier. BMC Medical Informatics and Decision Making. 21(1). 105–105. 43 indexed citations
7.
Wang, Xuchun, Jinhua Pan, Zeping Ren, et al.. (2021). Application of a novel hybrid algorithm of Bayesian network in the study of hyperlipidemia related factors: a cross-sectional study. BMC Public Health. 21(1). 1375–1375. 16 indexed citations
8.
9.
Pan, Jinhua, Zeping Ren, Wenhan Li, et al.. (2018). Prevalence of hyperlipidemia in Shanxi Province, China and application of Bayesian networks to analyse its related factors. Scientific Reports. 8(1). 3750–3750. 32 indexed citations
10.
11.
Yin, Zhaoxue, Jing Chen, Jian Zhang, et al.. (2018). Dietary Patterns Associated with Cognitive Function among the Older People in Underdeveloped Regions: Finding from the NCDFaC Study. Nutrients. 10(4). 464–464. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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