Zechen Wang

645 total citations · 1 hit paper
27 papers, 317 citations indexed

About

Zechen Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Zechen Wang has authored 27 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 5 papers in Artificial Intelligence. Recurrent topics in Zechen Wang's work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (8 papers) and Bioinformatics and Genomic Networks (4 papers). Zechen Wang is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (8 papers) and Bioinformatics and Genomic Networks (4 papers). Zechen Wang collaborates with scholars based in China, Singapore and Macao. Zechen Wang's co-authors include Weifeng Li, Liangzhen Zheng, Yanjie Wei, Yuguang Mu, Sheng Wang, Hongwei Guo, Jintao Meng, Haidong Lan, Kai Jiang and Xintong Xu and has published in prestigious journals such as Nature Communications, Bioinformatics and Journal of Power Sources.

In The Last Decade

Zechen Wang

24 papers receiving 313 citations

Hit Papers

Robust enzyme discovery and engineering with deep learnin... 2025 2026 2025 5 10 15
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Robust enzyme discovery and engineering with deep learning using CataPro
    2025 19 citations Zechen Wang, Dongqi Xie et al. Nature Communications profile →

Peers

Zechen Wang
Yuquan Li China
Gustavo E. Vázquez Argentina
Kangjie Lin China
Jiacheng Xiong China
Junnan Zhao China
Benben Liao China
Tomoyuki Miyao Japan
Cong Shen China
Yuquan Li China
Zechen Wang
Citations per year, relative to Zechen Wang Zechen Wang (= 1×) peers Yuquan Li

Countries citing papers authored by Zechen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zechen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zechen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zechen Wang. A scholar is included among the top collaborators of Zechen Wang 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 Zechen Wang. Zechen Wang 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.
Fang, H. H. P., Liwen Wang, Yu‐Cheng Chen, et al.. (2025). Analysis of the Physicochemical and Structural Properties of Chestnut Starch After Thermal Processing. Foods. 14(7). 1190–1190. 3 indexed citations
2.
Wang, Zechen, Dongqi Xie, Di Wu, et al.. (2025). Robust enzyme discovery and engineering with deep learning using CataPro. Nature Communications. 16(1). 2736–2736. 19 indexed citations breakdown →
3.
Sang, Wei, Somboon Chaemchuen, Zechen Wang, et al.. (2025). Solid-state stepwise temperature-programmable synthesis of bioinspired Fe-N-C oxygen reduction electrocatalyst featuring Fe-N 5 configuration. Nano Research. 18(3). 94907245–94907245.
4.
Wang, Zechen, Yue Zeng, Xueqin Chen, et al.. (2025). An efficient deep learning-based strategy to screen inhibitors for GluN1/GluN3A receptor. Acta Pharmacologica Sinica. 46(11). 3099–3107. 2 indexed citations
5.
Yang, Zhiwen, Zechen Wang, Shixiao Fu, et al.. (2024). Experimental study on 3D hydroelastic response of entire long span submerged floating tunnel with catenary-mooring constraint and perpendicular regular waves action. Tunnelling and Underground Space Technology. 155. 106181–106181. 5 indexed citations
6.
Wang, Zechen, Sheng Wang, Yangyang Li, et al.. (2024). A new paradigm for applying deep learning to protein–ligand interaction prediction. Briefings in Bioinformatics. 25(3). 15 indexed citations
7.
Gao, Yuan, Yongcan Chen, Yanjing Wang, et al.. (2024). Critical Assessment of Protein Engineering (CAPE): A Student Challenge on the Cloud. ACS Synthetic Biology. 13(11). 3782–3787.
8.
Zhou, Fan, Zechen Wang, Qiuyue Hu, et al.. (2024). Fully Flexible Molecular Alignment Enables Accurate Ligand Structure Modeling. Journal of Chemical Information and Modeling. 64(15). 6205–6215. 3 indexed citations
9.
Hu, Qiuyue, Zechen Wang, Jintao Meng, et al.. (2024). OpenDock: a pytorch-based open-source framework for protein–ligand docking and modelling. Bioinformatics. 40(11).
10.
Wang, Zechen. (2024). OnionNet-2. arXiv (Cornell University). 46 indexed citations
11.
Xu, Ran, Guoliang Zhu, Yilin Ye, et al.. (2024). T hermo L ink: Bridging disulfide bonds and enzyme thermostability through database construction and machine learning prediction. Protein Science. 33(9). e5097–e5097. 4 indexed citations
12.
Wang, Zechen, Jamie Hinks, Yanjie Wei, et al.. (2023). Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design. Nature Machine Intelligence. 5(7). 754–764. 15 indexed citations
13.
Shen, Tao, Zechen Wang, Jinyuan Sun, et al.. (2023). zPoseScore model for accurate and robust protein–ligand docking pose scoring in CASP15. Proteins Structure Function and Bioinformatics. 91(12). 1837–1849. 6 indexed citations
14.
Wang, Zechen, Liwen Wang, Yuxiang Wu, et al.. (2023). A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. 10 indexed citations
15.
Zheng, Liangzhen, Jintao Meng, Kai Jiang, et al.. (2022). Improving protein–ligand docking and screening accuracies by incorporating a scoring function correction term. Briefings in Bioinformatics. 23(3). 77 indexed citations
16.
Wang, Zechen, Liangzhen Zheng, Sheng Wang, et al.. (2022). A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function. Briefings in Bioinformatics. 24(1). 33 indexed citations
17.
Wang, Zechen, Xintong Xu, Chunguang Chen, Tao Huang, & Aishui Yu. (2022). Natural sesbania gum as an efficient biopolymer binder for high-performance Si-based anodes in lithium-ion batteries. Journal of Power Sources. 539. 231604–231604. 26 indexed citations
18.
Wang, Zechen, et al.. (2022). Study of free‐surface and solids suspension in top‐sealed tanks stirred by pitched blade turbine impellers through DEM‐VOF method. Asia-Pacific Journal of Chemical Engineering. 17(3). 9 indexed citations
19.
20.
He, Jun, et al.. (2020). Kinematic design of a serial-parallel hybrid finger mechanism actuated by twisted-and-coiled polymer. Mechanism and Machine Theory. 152. 103951–103951. 12 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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