Wen Zhang

11.5k total citations · 2 hit papers
327 papers, 7.8k citations indexed

About

Wen Zhang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Wen Zhang has authored 327 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Molecular Biology, 58 papers in Computational Theory and Mathematics and 39 papers in Cancer Research. Recurrent topics in Wen Zhang's work include Computational Drug Discovery Methods (55 papers), Cancer-related molecular mechanisms research (33 papers) and Machine Learning in Bioinformatics (30 papers). Wen Zhang is often cited by papers focused on Computational Drug Discovery Methods (55 papers), Cancer-related molecular mechanisms research (33 papers) and Machine Learning in Bioinformatics (30 papers). Wen Zhang collaborates with scholars based in China, United States and United Kingdom. Wen Zhang's co-authors include Feng Huang, Shichao Liu, Xiang Yue, Yang Qiu, Yanlin Chen, Longqiang Luo, Lingkui Meng, Feng Liu, Yanqing Niu and Yifan Deng and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Angewandte Chemie International Edition.

In The Last Decade

Wen Zhang

306 papers receiving 7.7k citations

Hit Papers

A multimodal deep learning framework for predicting drug–... 2020 2026 2022 2024 2020 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Zhang China 46 4.5k 2.4k 1.2k 985 523 327 7.8k
Tao Jiang United States 49 5.2k 1.2× 2.1k 0.8× 413 0.4× 2.1k 2.1× 236 0.5× 433 10.4k
Min Li China 53 7.3k 1.6× 2.8k 1.2× 1.4k 1.2× 927 0.9× 498 1.0× 489 10.8k
Luonan Chen China 66 9.6k 2.1× 1.5k 0.6× 1.3k 1.1× 1.5k 1.5× 134 0.3× 507 15.3k
Robert P. Sheridan United States 54 9.7k 2.1× 5.7k 2.3× 2.0k 1.7× 760 0.8× 2.7k 5.1× 126 16.3k
Xiaoli Li China 57 4.3k 1.0× 2.0k 0.8× 466 0.4× 4.2k 4.2× 400 0.8× 531 13.9k
Richard Judson United States 70 7.7k 1.7× 4.4k 1.8× 1.4k 1.2× 492 0.5× 895 1.7× 210 19.4k
Quan Zou China 76 15.1k 3.3× 2.4k 1.0× 3.7k 3.2× 2.2k 2.2× 724 1.4× 554 20.1k
William E. Hart United States 30 6.0k 1.3× 3.0k 1.2× 215 0.2× 873 0.9× 934 1.8× 139 14.3k
Roded Sharan Israel 57 11.3k 2.5× 3.0k 1.2× 952 0.8× 1.1k 1.1× 174 0.3× 214 14.0k
Zoltán N. Oltvai United States 41 17.4k 3.8× 2.4k 1.0× 2.0k 1.7× 773 0.8× 282 0.5× 85 24.4k

Countries citing papers authored by Wen Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Wen Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Zhang. A scholar is included among the top collaborators of Wen 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 Wen Zhang. Wen 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.
Zhang, Wen, et al.. (2025). Automatic grading assessments of wearable ECG critical value via deep adaptive-asymmetric PRank algorithm. Expert Systems with Applications. 275. 127039–127039.
2.
Wang, Wei, Shao‐Yong Jiang, Hai–Zhen Wei, & Wen Zhang. (2025). Silicon isotope behavior during silica diagenesis recorded by silica sinters in a geothermal system, Xizang, China. Journal of Geochemical Exploration. 273. 107744–107744. 1 indexed citations
3.
Liu, Yu‐Rong, Brajesh K. Singh, Wen Zhang, et al.. (2025). Vulnerability of soil food webs to chemical pollution and climate change. Nature Ecology & Evolution. 9(7). 1112–1119. 2 indexed citations
4.
Zhao, Zhongyi, et al.. (2025). Risk prediction models for peritoneal dialysis-associated peritonitis: a systematic review and meta-analysis. International Urology and Nephrology. 58(3). 967–979.
5.
Li, Yongqin, Jiawei Du, Ruiqian Li, et al.. (2024). The withdrawal time of enrofloxacin, sulfachloropyrazine sodium, and doxycycline as well as the in vitro binding interaction with melanin in black-feathered silky fowl. Food Chemistry X. 24. 101994–101994. 1 indexed citations
6.
Zhang, Hao, Wen Zhang, Iftikhar Ahmad, et al.. (2024). Drought-induced adaptive and ameliorative strategies in plants. Chemosphere. 364. 143134–143134. 14 indexed citations
8.
Wang, Guoli, Miriam Kessi, Xi Huang, et al.. (2024). Treatment of juvenile myasthenia gravis with tacrolimus: A cohort study. European Journal of Neurology. 31(12). e16466–e16466.
9.
Li, Menglu, et al.. (2024). Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(1). 188–196. 3 indexed citations
10.
Zhang, Wen, et al.. (2024). 3A Multi-Classification Division-Aggregation Framework for Fake News Detection. IEEE Transactions on Big Data. 11(1). 130–140. 4 indexed citations
11.
Chen, Mingyang, et al.. (2023). Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs. 6574–6582. 8 indexed citations
12.
Lin, Xuan, Lihua Dai, Yafang Zhou, et al.. (2023). Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction. Briefings in Bioinformatics. 24(4). 53 indexed citations
13.
Yao, Zhen, et al.. (2023). Analogical Inference Enhanced Knowledge Graph Embedding. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4801–4808. 11 indexed citations
14.
Zheng, Chao, Wen Zhang, Jinming Wang, et al.. (2022). Lenvatinib- and vadimezan-loaded synthetic high-density lipoprotein for combinational immunochemotherapy of metastatic triple-negative breast cancer. Acta Pharmaceutica Sinica B. 12(9). 3726–3738. 27 indexed citations
15.
Ye, Deheng, Gui-Bin Chen, Peilin Zhao, et al.. (2020). Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Transactions on Neural Networks and Learning Systems. 33(3). 908–918. 27 indexed citations
16.
Zhang, Wen & Jack W. Szostak. (2018). Deciphering nonenzymatic RNA polymerization through crystallography. Acta Crystallographica Section A Foundations and Advances. 74(a1). a59–a59. 1 indexed citations
17.
Zhang, Wen, et al.. (2017). An Automatic Accurate High-Resolution Satellite Image Retrieval Method. Remote Sensing. 9(11). 1092–1092. 5 indexed citations
18.
Zhang, Wen, et al.. (2016). Drug side effect prediction through linear neighborhoods and multiple data source integration. 427–434. 63 indexed citations
19.
Xia, Yan, et al.. (2014). Reference Gene Selection for Quantitative Real-Time PCR Normalization in Reaumuria soongorica. PLoS ONE. 9(8). e104124–e104124. 20 indexed citations
20.
Zhang, Wen. (2010). The relationship between expression of COX-2,LRP and metastasis and prognosis in patients with non-small cell lung carcinoma. 1 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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