Ercheng Wang

4.9k citations

52 papers · 3.5k · 3 hit papers · h-index 19

Impact in

Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Molecular Biology top 5%
- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms

Papers in

Computational Theory and Mathematics 17
- Computational Drug Discovery Methods 17
Molecular Biology 35
- Protein Structure and Dynamics 17
- RNA and protein synthesis mechanisms 9
- DNA and Nucleic Acid Chemistry 5
- Chemical Synthesis and Analysis 4

Co-authors: Tingjun Hou (27 shared papers)Zhe Wang (12 shared papers)Huiyong Sun (5 shared papers)Junmei Wang (3 shared papers)John Zhang (1 shared paper)Gaoqi Weng (10 shared papers)Feng Zhu (5 shared papers)Dan Li (5 shared papers)
Journals: Physical Chemistry Chemical Physics (6 papers)Journal of Chemical Information and Modeling (4 papers)Nature Computational Science (3 papers)Advanced Science (3 papers)Briefings in Bioinformatics (2 papers)
Partner nations: China United States Macao

In The Last Decade

Ercheng Wang

49 papers receiving 3.4k citations

Ercheng Wang's Hit Papers

align trajectories log scale

Efficient and accurate large library ligand docking with KarmaDock 2023 · 109 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2023 Nature Computational Science
2019 Chemical Reviews
2019 Nucleic Acids Research

Peers

Countries citing papers authored by Ercheng Wang

Since Specialization

Citations

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

Fields of papers citing papers by Ercheng Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ercheng Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ercheng Wang Line = papers co-authored together Ercheng Wang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	End-Point Binding Free Energy Calculation with MM/PBSA and MM/GBSA: Strategies and Applications in Drug Design Chemical Reviews ·Ercheng Wang, Huiyong Sun, Junmei Wang, Zhe Wang, Hui Liu, John Zhang, Tingjun Hou Hit paper breakdown →	2019	1667
2	HawkDock: a web server to predict and analyze the protein–protein complex based on computational docking and MM/GBSA Nucleic Acids Research ·Gaoqi Weng, Ercheng Wang, Zhe Wang, Hui Liu, Feng Zhu, Dan Li, Tingjun Hou Hit paper breakdown →	2019	470
3	InteractionGraphNet: A Novel and Efficient Deep Graph Representation Learning Framework for Accurate Protein–Ligand Interaction Predictions Journal of Medicinal Chemistry ·Dejun Jiang, Chang‐Yu Hsieh, Yu Kang, Jike Wang, Ercheng Wang, Ben Liao, Chao Shen, Lei Xu	2021	180
4	Comprehensive Evaluation of Fourteen Docking Programs on Protein–Peptide Complexes Journal of Chemical Theory and Computation ·Gaoqi Weng, Junbo Gao, Zhe Wang, Ercheng Wang, Xueping Hu, Xiaojun Yao, Dongsheng Cao, Tingjun Hou	2020	126
5	Assessing the performance of MM/PBSA and MM/GBSA methods. 9. Prediction reliability of binding affinities and binding poses for protein–peptide complexes Physical Chemistry Chemical Physics ·Gaoqi Weng, Ercheng Wang, Fu Chen, Huiyong Sun, Zhe Wang, Tingjun Hou	2019	121
6	Efficient and accurate large library ligand docking with KarmaDock Nature Computational Science ·Xujun Zhang, Odin zhang, Chao Shen, Wanglin Qu, Shicheng Chen, Hanqun Cao, Yu Kang, Zhe Wang Hit paper breakdown →	2023	109
7	Assessing the performance of the MM/PBSA and MM/GBSA methods. 10. Impacts of enhanced sampling and variable dielectric model on protein–protein Interactions Physical Chemistry Chemical Physics ·Ercheng Wang, Gaoqi Weng, Huiyong Sun, Hongyan Du, Feng Zhu, Fu Chen, Zhe Wang, Tingjun Hou	2019	105
8	farPPI: a webserver for accurate prediction of protein-ligand binding structures for small-molecule PPI inhibitors by MM/PB(GB)SA methods Bioinformatics ·Zhe Wang, Xuwen Wang, Youyong Li, Tailong Lei, Ercheng Wang, Dan Li, Yu Kang, Feng Zhu	2018	77
9	Development and Evaluation of MM/GBSA Based on a Variable Dielectric GB Model for Predicting Protein–Ligand Binding Affinities Journal of Chemical Information and Modeling ·Ercheng Wang, Hui Liu, Junmei Wang, Gaoqi Weng, Huiyong Sun, Zhe Wang, Yu Kang, Tingjun Hou	2020	49
10	Insight into the selective binding mechanism of DNMT1 and DNMT3A inhibitors: a molecular simulation study Physical Chemistry Chemical Physics ·Tianli Xie, Jie Yu, Weitao Fu, Zhe Wang, Lei Xu, Shan Chang, Ercheng Wang, Feng Zhu	2019	48
11	VAD-MM/GBSA: A Variable Atomic Dielectric MM/GBSA Model for Improved Accuracy in Protein–Ligand Binding Free Energy Calculations Journal of Chemical Information and Modeling ·Ercheng Wang, Weitao Fu, Dejun Jiang, Huiyong Sun, Junmei Wang, Xujun Zhang, Gaoqi Weng, Hui Liu	2021	46
12	Learning on topological surface and geometric structure for 3D molecular generation Nature Computational Science ·Odin zhang, Tianyue Wang, Gaoqi Weng, Dejun Jiang, Ning Wang, Xiaorui Wang, Huifeng Zhao, Jialu Wu	2023	44
13	Discovery of Novel GR Ligands toward Druggable GR Antagonist Conformations Identified by MD Simulations and Markov State Model Analysis Advanced Science ·Xueping Hu, Jinping Pang, Jintu Zhang, Chao Shen, Xin Rui Chai, Ercheng Wang, Haiyi Chen, Xuwen Wang	2021	39
14	Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening power Briefings in Bioinformatics ·Chao Shen, Zhe Wang, Xiaojun Yao, Youyong Li, Tailong Lei, Ercheng Wang, Lei Xu, Feng Zhu	2018	39
15	Accuracy or novelty: what can we gain from target-specific machine-learning-based scoring functions in virtual screening? Briefings in Bioinformatics ·Chao Shen, Gaoqi Weng, Xujun Zhang, Elaine Lai‐Han Leung, Xiaojun Yao, Jinping Pang, Xin Rui Chai, Dan Li	2021	35
16	A LQR Controller Design for Active Vibration Control of Flexible Structures Jingjun Zhang, Lili He, Ercheng Wang, Ruizhen Gao	2008	22
17	MetaRF: attention-based random forest for reaction yield prediction with a few trails Journal of Cheminformatics ·Kexin Chen, Guangyong Chen, Junyou Li, Yuansheng Huang, Ercheng Wang, Tingjun Hou, Pheng‐Ann Heng	2023	22
18	Novel androgen receptor antagonist identified by structure-based virtual screening, structural optimization, and biological evaluation European Journal of Medicinal Chemistry ·Qin Tang, Weitao Fu, Minkui Zhang, Ercheng Wang, Lvhu Shan, Xin Rui Chai, Jinping Pang, Xuwen Wang	2020	21
19	Assessing the performance of MM/PBSA and MM/GBSA methods. 10. Prediction reliability of binding affinities and binding poses for RNA–ligand complexes Physical Chemistry Chemical Physics ·Dejun Jiang, Hongyan Du, Huifeng Zhao, Yafeng Deng, Zhenhua Wu, Jike Wang, Yundian Zeng, Haotian Zhang	2024	21
20	PMF-CPI: assessing drug selectivity with a pretrained multi-functional model for compound–protein interactions Journal of Cheminformatics ·Nan Song, Ruihan Dong, Yuqian Pu, Ercheng Wang, Junhai Xu, Fei Guo	2023	19

About Ercheng Wang

Ercheng Wang is a scholar working on Computational Theory and Mathematics, Molecular Biology, Civil and Structural Engineering, Materials Chemistry and Aerospace Engineering, having authored 52 papers that have together received 3.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Computational Drug Discovery Methods (17 papers), RNA and protein synthesis mechanisms (9 papers), Enzyme Structure and Function (6 papers), DNA and Nucleic Acid Chemistry (5 papers), Aeroelasticity and Vibration Control (5 papers), Structural Analysis and Optimization (5 papers) and Chemical Synthesis and Analysis (4 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Molecular Biology (2.1k citations), Infectious Diseases (388 citations), Pharmacology (205 citations) and Organic Chemistry (361 citations). Ercheng Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Tingjun Hou, Zhe Wang, Huiyong Sun, Junmei Wang, John Zhang, Gaoqi Weng, Feng Zhu, Dan Li, Hui Liu and Yu Kang. Their work appears in journals such as Physical Chemistry Chemical Physics, Journal of Chemical Information and Modeling, Nature Computational Science, Advanced Science and Briefings in Bioinformatics.

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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Ercheng Wang's Hit Papers

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All Works

About Ercheng Wang

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