Chao Shen

3.5k total citations · 1 hit paper
81 papers, 2.3k citations indexed

About

Chao Shen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Chao Shen has authored 81 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 39 papers in Computational Theory and Mathematics and 17 papers in Materials Chemistry. Recurrent topics in Chao Shen's work include Computational Drug Discovery Methods (39 papers), Protein Structure and Dynamics (26 papers) and Machine Learning in Materials Science (14 papers). Chao Shen is often cited by papers focused on Computational Drug Discovery Methods (39 papers), Protein Structure and Dynamics (26 papers) and Machine Learning in Materials Science (14 papers). Chao Shen collaborates with scholars based in China, United States and Macao. Chao Shen's co-authors include Tingjun Hou, Dongsheng Cao, Zhe Wang, Chang‐Yu Hsieh, Zhenhua Wu, Lei Xu, Dejun Jiang, Yu Kang, Xujun Zhang and Ben Liao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chao Shen

78 papers receiving 2.2k citations

Hit Papers

align trajectories

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.

Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models

2021 388 citations Dejun Jiang, Zhenhua Wu et al. Journal of Cheminformatics profile →

Peers

Countries citing papers authored by Chao Shen

Since Specialization

Citations

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

Fields of papers citing papers by Chao Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Shen

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	From Traditional Methods to Deep Learning Approaches: Advances in Protein–Protein Docking 2025 ·Wiley Interdisciplinary Reviews Computational Molecular Science ·(unknown), (unknown), (unknown), Hui Zhang, Chao Shen, Tingjun Hou	2
2	CarsiDock-Cov: A deep learning-guided approach for automated covalent docking and screening 2025 ·Acta Pharmaceutica Sinica B ·Chao Shen, Hongyan Du, Xujun Zhang, (unknown), (unknown), Yu Kang, Peichen Pan, (unknown), Tingjun Hou	1
3	Robust protein–ligand interaction modeling through integrating physical laws and geometric knowledge for absolute binding free energy calculation 2025 ·Chemical Science ·(unknown), Jike Wang, (unknown), (unknown), Lei Jiang, Hui Zhang, (unknown), (unknown), Chao Shen, Yu Kang, Chang‐Yu Hsieh, Tingjun Hou	3
4	Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model 2025 ·(unknown), Zhanpeng Huang, Rui Han, Zibin Wang, Chenhao Lin, Chao Shen	0
5	Unlocking comprehensive molecular design across all scenarios with large language model and unordered chemical language 2024 ·Chemical Science ·(unknown), (unknown), Yu Chen, (unknown), Xinda Zhao, Chao Shen, Xiangyang Ji, Chang‐Yu Hsieh, (unknown), Tingjun Hou, Yafeng Deng, Jike Wang	5
6	An improved BAT algorithm for collaborative dynamic target tracking and path planning of multiple UAV 2024 ·Computers & Electrical Engineering ·(unknown), (unknown), (unknown), Feng Xiao, Chao Shen, Wenjuan Zhang	4
7	CarsiDock: a deep learning paradigm for accurate protein–ligand docking and screening based on large-scale pre-training 2023 ·Chemical Science ·(unknown), Chao Shen, (unknown), Xujun Zhang, Tong Chen, (unknown), (unknown), (unknown), Chang‐Yu Hsieh, Yu Kang, Peichen Pan, Xiangyang Ji, (unknown), Tingjun Hou, Yafeng Deng	29
8	Efficient and accurate large library ligand docking with KarmaDock 2023 ·Nature Computational Science ·Xujun Zhang, Odin Zhang, Chao Shen, (unknown), Shicheng Chen, Hanqun Cao, Yu Kang, Zhe Wang, Ercheng Wang, Jintu Zhang, Yafeng Deng, Furui Liu, Tianyue Wang, Hongyan Du, (unknown), Peichen Pan, Guangyong Chen, Chang‐Yu Hsieh, Tingjun Hou	80
9	A generalized protein–ligand scoring framework with balanced scoring, docking, ranking and screening powers 2023 ·Chemical Science ·Chao Shen, Xujun Zhang, Chang‐Yu Hsieh, Yafeng Deng, Dong Wang, Lei Xu, Jian Wu, Dan Li, Yu Kang, Tingjun Hou, Peichen Pan	44
10	Learning with uncertainty to accelerate the discovery of histone lysine-specific demethylase 1A (KDM1A/LSD1) inhibitors 2022 ·Briefings in Bioinformatics ·Dong Wang, (unknown), Chao Shen, (unknown), Hao Luo, Zhe Wang, (unknown), Kong De, Cheng Luo, Tingjun Hou	5
11	Discovery of novel non-steroidal selective glucocorticoid receptor modulators by structure- and IGN-based virtual screening, structural optimization, and biological evaluation 2022 ·European Journal of Medicinal Chemistry ·Xueping Hu, Jinping Pang, Changwei Chen, Dejun Jiang, Chao Shen, Xin Chai, (unknown), Xujun Zhang, Lei Xu, Sunliang Cui, Tingjun Hou, Dan Li	20
12	A scenario analysis-based optimal management of water resources supply and demand balance: A case study of Chengdu, China 2022 ·PLoS ONE ·(unknown), (unknown), Rui Zhao, (unknown), Chao Shen	8
13	Discovery of Novel GR Ligands toward Druggable GR Antagonist Conformations Identified by MD Simulations and Markov State Model Analysis 2021 ·Advanced Science ·Xueping Hu, Jinping Pang, Jintu Zhang, Chao Shen, Xin Chai, Ercheng Wang, (unknown), Xuwen Wang, Mojie Duan, Weitao Fu, Lei Xu, Yu Kang, Dan Li, Hongguang Xia, Tingjun Hou	35
14	Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models breakdown → 2021 ·Journal of Cheminformatics ·Dejun Jiang, Zhenhua Wu, Chang‐Yu Hsieh, Guangyong Chen, Ben Liao, Zhe Wang, Chao Shen, Dongsheng Cao, Jian Wu, Tingjun Hou	388
15	Brief Report: Can a Composite Heart Rate Variability Biomarker Shed New Insights About Autism Spectrum Disorder in School-Aged Children? 2020 ·Journal of Autism and Developmental Disorders ·Martin G. Frasch, Chao Shen, Hau‐Tieng Wu, Alexander Mueller, Emily Neuhaus, Raphael Bernier, Dana Kamara, Theodore P. Beauchaine	9
16	Fetal heart rate variability responsiveness to maternal stress, non-invasively detected from maternal transabdominal ECG 2019 ·arXiv (Cornell University) ·Silvia M. Lobmaier, Alexander Mueller, (unknown), Chao Shen, (unknown), Georg Schmidt, (unknown), Gabriela Berg, Bibiana Fabre, (unknown), Hau‐Tieng Wu, Martin G. Frasch, Marta C. Antonelli	8
17	Importance of Incorporating Protein Flexibility in Molecule Modeling: A Theoretical Study on Type I1/2 NIK Inhibitors 2019 ·Frontiers in Pharmacology ·Chao Shen, (unknown), Xuwen Wang, Tailong Lei, Ercheng Wang, Lei Xu, Huidong Yu, Dan Li, Xiaojun Yao	11
18	Contribution of heavy metal in driving microbial distribution in a eutrophic river 2019 ·The Science of The Total Environment ·Jingting Wang, Shu Yuan, Lei Tang, (unknown), Xunchi Pu, Ran Li, Chao Shen	43
19	Can a heart rate variability biomarker identify the presence of autism spectrum disorder in eight year old children 2018 ·arXiv (Cornell University) ·Martin G. Frasch, Chao Shen, Hau‐Tieng Wu, Alexander Mueller, Raphael Bernier, Theodore P. Beauchaine, Emily Neuhaus	3
20	粒子群最適化(PSO)に基づくバックプロパゲーションニューラルネットワーク(BPNN)を用いた車内騒音の音質予測と数理モデル 2016 ·Measurement Science and Technology ·(unknown), (unknown), Chao Shen, (unknown), Yaxiang Zhang	1

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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