Ge Zhang

602 total citations
27 papers, 349 citations indexed

About

Ge Zhang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Ge Zhang has authored 27 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 6 papers in Molecular Biology. Recurrent topics in Ge Zhang's work include Computational Drug Discovery Methods (7 papers), Teaching and Learning Programming (5 papers) and Bioinformatics and Genomic Networks (5 papers). Ge Zhang is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Teaching and Learning Programming (5 papers) and Bioinformatics and Genomic Networks (5 papers). Ge Zhang collaborates with scholars based in China, United States and Thailand. Ge Zhang's co-authors include Ling‐Dong Sun, Chun‐Hua Yan, Lele Li, Xinghua Shi, Ping Cheng, Chunzhi Di, Jinhong Gao, Zhenghan Di, Yifan Li and Bei Liu and has published in prestigious journals such as Journal of the American Chemical Society, Frontiers in Pharmacology and Briefings in Bioinformatics.

In The Last Decade

Ge Zhang

24 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Zhang China 9 149 116 81 74 64 27 349
S. Hessam M. Mehr United Kingdom 12 289 1.9× 184 1.6× 105 1.3× 86 1.2× 57 0.9× 22 566
Artem I. Leonov United Kingdom 9 175 1.2× 148 1.3× 89 1.1× 61 0.8× 20 0.3× 11 426
Jakob B. Wolf Germany 5 277 1.9× 258 2.2× 131 1.6× 102 1.4× 30 0.5× 8 557
Daniil A. Boiko Russia 9 274 1.8× 100 0.9× 107 1.3× 88 1.2× 53 0.8× 27 656
Lars P. E. Yunker Canada 13 318 2.1× 282 2.4× 141 1.7× 109 1.5× 82 1.3× 17 796
Oufan Zhang United States 7 388 2.6× 45 0.4× 158 2.0× 104 1.4× 120 1.9× 16 591
Sebastian Steiner Austria 6 255 1.7× 245 2.1× 110 1.4× 102 1.4× 25 0.4× 11 568
Tara Zepel Canada 4 172 1.2× 166 1.4× 77 1.0× 69 0.9× 29 0.5× 4 352
Andrés Aguilar‐Granda Mexico 12 273 1.8× 110 0.9× 36 0.4× 50 0.7× 75 1.2× 23 534
Nicholas Holmes United Kingdom 7 207 1.4× 435 3.8× 90 1.1× 105 1.4× 35 0.5× 7 617

Countries citing papers authored by Ge Zhang

Since Specialization
Citations

This map shows the geographic impact of Ge Zhang'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 Ge Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ge Zhang more than expected).

Fields of papers citing papers by Ge Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ge Zhang. 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 Ge Zhang. The network helps show where Ge Zhang may publish in the future.

Co-authorship network of co-authors of Ge Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Zhang. A scholar is included among the top collaborators of Ge Zhang 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 Ge Zhang. Ge Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Luo, Huimin, et al.. (2025). KGRDR: a deep learning model based on knowledge graph and graph regularized integration for drug repositioning. Frontiers in Pharmacology. 16. 1525029–1525029.
2.
Wang, Yashan, Zhancheng Guo, Xu Tan, et al.. (2025). CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models. 435–451. 1 indexed citations
3.
Zhang, Ge, et al.. (2025). TableBench: A Comprehensive and Complex Benchmark for Table Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 39(24). 25497–25506. 3 indexed citations
4.
5.
Luo, Huimin, Chunli Zhu, Jianlin Wang, et al.. (2024). Prediction of drug–disease associations based on reinforcement symmetric metric learning and graph convolution network. Frontiers in Pharmacology. 15. 1337764–1337764. 5 indexed citations
6.
Luo, Huimin, Jianlin Wang, Ge Zhang, et al.. (2024). Drug-drug interactions prediction based on deep learning and knowledge graph: A review. iScience. 27(3). 109148–109148. 28 indexed citations
7.
8.
Zhang, Ge, Tianhao Shen, Bill Lin, et al.. (2024). OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. 12834–12859. 17 indexed citations
9.
Zhang, Ge, Zhijie Gao, Chaokun Yan, et al.. (2023). KGANSynergy: knowledge graph attention network for drug synergy prediction. Briefings in Bioinformatics. 24(3). 20 indexed citations
10.
Wang, Shuhai, Lin Geng, & Ge Zhang. (2023). A Sound Source Localization Method Based on Multipath Combined Matching Pursuit. 958–962.
11.
Zhang, Ge, et al.. (2023). How Pairing by Code Similarity Influences Discussions in Peer Learning. 1–6. 2 indexed citations
12.
Wang, April Yi, Andrew Head, Ge Zhang, Steve Oney, & Christopher Brooks. (2023). Colaroid: A Literate Programming Approach for Authoring Explorable Multi-Stage Tutorials. 1–22. 5 indexed citations
13.
Zhang, Ge, Yan Chen, & Steve Oney. (2023). RunEx: Augmenting Regular-Expression Code Search with Runtime Values. 139–147. 2 indexed citations
14.
Li, Yizhi, et al.. (2022). HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models. 334–346. 1 indexed citations
15.
16.
Yan, Chaokun, et al.. (2022). DACPGTN: Drug ATC Code Prediction Method Based on Graph Transformer Network for Drug Discovery. Frontiers in Pharmacology. 13. 907676–907676. 5 indexed citations
17.
Wang, Jianlin, Wenxiu Wang, Chaokun Yan, Junwei Luo, & Ge Zhang. (2021). Predicting Drug-Disease Association Based on Ensemble Strategy. Frontiers in Genetics. 12. 666575–666575. 16 indexed citations
18.
Zhang, Ge, et al.. (2021). MULTIVERSE. 1212–1222. 2 indexed citations
19.
Yan, Chaokun, et al.. (2019). BiRWDDA: A Novel Drug Repositioning Method Based on Multisimilarity Fusion. Journal of Computational Biology. 26(11). 1230–1242. 16 indexed citations
20.
Zhang, Ge, Hao Dong, Di Wang, Ling‐Dong Sun, & Chun‐Hua Yan. (2017). Investigations on multi-photon emissions of Nd 3+ -sensitized core/shell nanoparticles. Journal of Rare Earths. 35(1). 1–6. 19 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by S. Hessam M. Mehr Breakdown of academic impact, for papers by Artem I. Leonov Breakdown of academic impact, for papers by Jakob B. Wolf Breakdown of academic impact, for papers by Daniil A. Boiko Breakdown of academic impact, for papers by Lars P. E. Yunker Breakdown of academic impact, for papers by Oufan Zhang Breakdown of academic impact, for papers by Sebastian Steiner Breakdown of academic impact, for papers by Tara Zepel Breakdown of academic impact, for papers by Andrés Aguilar‐Granda Breakdown of academic impact, for papers by Nicholas Holmes
Rankless by CCL
2026