Guo‐Wei Wei
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Topological and Geometric Data Analysis
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Computational Drug Discovery Methods 37
- Topological and Geometric Data Analysis 14
-
- Protein Structure and Dynamics 33
- Bioinformatics and Genomic Networks 9
- Co-authors
- Rui Wang (16 shared papers)Jiahui Chen (10 shared papers)Duc Duy Nguyen (9 shared papers)Kelin Xia (12 shared papers)Kedi Wu (3 shared papers)Duan Chen (7 shared papers)Kaifu Gao (8 shared papers)Zixuan Cang (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (22 papers)Journal of Computational Chemistry (11 papers)Journal of Computational Physics (8 papers)The Journal of Physical Chemistry Letters (7 papers)International Journal for Numerical Methods in Biomedical Engineering (7 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Guo‐Wei Wei
131 papers receiving 6.6k citations
Guo‐Wei Wei's Hit Papers
Peers
Comparison fields: 5 of 183
- Computational Theory and Mathematics 1.8k
- Infectious Diseases 947
- Molecular Biology 3.0k
- Biophysics 236
- Modeling and Simulation 127
Countries citing papers authored by Guo‐Wei Wei
This map shows the geographic impact of Guo‐Wei Wei'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 Guo‐Wei Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo‐Wei Wei more than expected).
Fields of papers citing papers by Guo‐Wei Wei
This network shows the impact of papers produced by Guo‐Wei Wei. 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 Guo‐Wei Wei. The network helps show where Guo‐Wei Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Guo‐Wei Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Improvements to the APBS biomolecular solvation software suite Hit paper breakdown → | 2017 | 1756 |
| 2 | Omicron Variant (B.1.1.529): Infectivity, Vaccine Breakthrough, and Antibody Resistance Hit paper breakdown → | 2022 | 502 |
| 3 | Machine Learning Methods for Small Data Challenges in Molecular Science Hit paper breakdown → | 2023 | 335 |
| 4 | 2019 | 185 | |
| 5 | 2013 | 140 | |
| 6 | 2010 | 139 | |
| 7 | 2017 | 136 | |
| 8 | 2011 | 134 | |
| 9 | 2018 | 129 | |
| 10 | 2007 | 128 | |
| 11 | 2012 | 105 | |
| 12 | 2020 | 103 | |
| 13 | 2011 | 99 | |
| 14 | 2020 | 93 | |
| 15 | 2021 | 93 | |
| 16 | 2017 | 92 | |
| 17 | 2022 | 92 | |
| 18 | 2010 | 89 | |
| 19 | 2018 | 86 | |
| 20 | 2020 | 84 |
About Guo‐Wei Wei
Guo‐Wei Wei is a scholar working on Computational Theory and Mathematics, Molecular Biology, Biophysics, Computational Mechanics and Infectious Diseases, having authored 135 papers that have together received 6.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (37 papers), Protein Structure and Dynamics (33 papers), Topological and Geometric Data Analysis (14 papers), Machine Learning in Materials Science (11 papers), Cell Image Analysis Techniques (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Advanced Numerical Methods in Computational Mathematics (9 papers) and Bioinformatics and Genomic Networks (9 papers). The work is most often cited by research in Computational Theory and Mathematics (1.8k citations), Infectious Diseases (947 citations), Molecular Biology (3.0k citations), Biophysics (236 citations) and Modeling and Simulation (127 citations). Guo‐Wei Wei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Rui Wang, Jiahui Chen, Duc Duy Nguyen, Kelin Xia, Kedi Wu, Duan Chen, Kaifu Gao, Zixuan Cang, Weihua Geng and Yuchi Qiu. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Computational Chemistry, Journal of Computational Physics, The Journal of Physical Chemistry Letters and International Journal for Numerical Methods in Biomedical Engineering.
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.