Guo‐Wei Wei
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Topological and Geometric Data Analysis
- Biophysics top 0.5%
- Cell Image Analysis Techniques
Papers in
-
- Topological and Geometric Data Analysis 33
- Computational Drug Discovery Methods 23
- Biophysics 23
- Cell Image Analysis Techniques 19
- Co-authors
- Zixuan Cang (11 shared papers)Rui Wang (16 shared papers)Jiahui Chen (16 shared papers)Kelin Xia (14 shared papers)Menglun Wang (5 shared papers)Kaifu Gao (10 shared papers)Duc Duy Nguyen (8 shared papers)David K. Hoffman (15 shared papers)
- Journals
- The Journal of Chemical Physics (11 papers)Computers in Biology and Medicine (10 papers)Journal of Computational Physics (5 papers)Computer Physics Communications (4 papers)Physical Review Letters (3 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Guo‐Wei Wei
130 papers receiving 5.9k citations
Guo‐Wei Wei's Hit Papers
Peers
Comparison fields: 5 of 179
- Computational Theory and Mathematics 2.2k
- Biophysics 370
- Infectious Diseases 940
- Mathematical Physics 353
- Modeling and Simulation 169
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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 357 | |
| 2 | TopologyNet: Topology based deep convolutional and multi-task neural networks for biomolecular property predictions Hit paper breakdown → | 2017 | 267 |
| 3 | 1999 | 251 | |
| 4 | 2014 | 206 | |
| 5 | 2018 | 200 | |
| 6 | 2014 | 187 | |
| 7 | 2006 | 153 | |
| 8 | 2020 | 152 | |
| 9 | 2020 | 148 | |
| 10 | 2021 | 143 | |
| 11 | 2021 | 139 | |
| 12 | 2021 | 129 | |
| 13 | 2018 | 126 | |
| 14 | 2007 | 112 | |
| 15 | 2010 | 105 | |
| 16 | 2020 | 104 | |
| 17 | 2004 | 103 | |
| 18 | 2018 | 98 | |
| 19 | 2003 | 97 | |
| 20 | 2020 | 91 |
About Guo‐Wei Wei
Guo‐Wei Wei is a scholar working on Computational Theory and Mathematics, Biophysics, Mathematical Physics, Molecular Biology and Statistical and Nonlinear Physics, having authored 134 papers that have together received 6.0k indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (33 papers), Computational Drug Discovery Methods (23 papers), Protein Structure and Dynamics (22 papers), Cell Image Analysis Techniques (19 papers), Homotopy and Cohomology in Algebraic Topology (15 papers), Bioinformatics and Genomic Networks (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers) and Spectroscopy and Quantum Chemical Studies (11 papers). The work is most often cited by research in Computational Theory and Mathematics (2.2k citations), Biophysics (370 citations), Infectious Diseases (940 citations), Mathematical Physics (353 citations) and Modeling and Simulation (169 citations). Guo‐Wei Wei has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Zixuan Cang, Rui Wang, Jiahui Chen, Kelin Xia, Menglun Wang, Kaifu Gao, Duc Duy Nguyen, David K. Hoffman, Donald Jack Kouri and Yuta Hozumi. Their work appears in journals such as The Journal of Chemical Physics, Computers in Biology and Medicine, Journal of Computational Physics, Computer Physics Communications and Physical Review Letters.
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.