Guo‐Wei Wei
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Topological and Geometric Data Analysis
- Biophysics top 1%
- Cell Image Analysis Techniques
Papers in
-
- Protein Structure and Dynamics 15
- Bioinformatics and Genomic Networks 12
- vaccines and immunoinformatics approaches 7
-
- Topological and Geometric Data Analysis 31
- Computational Drug Discovery Methods 24
- Co-authors
- Zixuan Cang (10 shared papers)Rui Wang (13 shared papers)Kaifu Gao (11 shared papers)Duc Duy Nguyen (8 shared papers)Kelin Xia (9 shared papers)Jiahui Chen (16 shared papers)Menglun Wang (4 shared papers)Lin Mu (3 shared papers)
- Journals
- Computers in Biology and Medicine (9 papers)Chemical Science (3 papers)Nature Machine Intelligence (3 papers)International Journal for Numerical Methods in Biomedical Engineering (3 papers)Nature Communications (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Guo‐Wei Wei
82 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 152
- Computational Theory and Mathematics 1.7k
- Biophysics 263
- Mathematical Physics 249
- Infectious Diseases 500
- Molecular Biology 1.6k
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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 238 | |
| 2 | 2014 | 189 | |
| 3 | 2018 | 181 | |
| 4 | 2014 | 163 | |
| 5 | 2021 | 128 | |
| 6 | 2021 | 126 | |
| 7 | 2020 | 126 | |
| 8 | 2018 | 117 | |
| 9 | 2021 | 117 | |
| 10 | 2020 | 94 | |
| 11 | 2018 | 91 | |
| 12 | 2020 | 86 | |
| 13 | 2021 | 78 | |
| 14 | 2019 | 75 | |
| 15 | 2020 | 74 | |
| 16 | 2021 | 72 | |
| 17 | 2015 | 66 | |
| 18 | 2020 | 66 | |
| 19 | 2011 | 56 | |
| 20 | 2022 | 56 |
About Guo‐Wei Wei
Guo‐Wei Wei is a scholar working on Molecular Biology, Computational Theory and Mathematics, Biophysics, Mathematical Physics and Infectious Diseases, having authored 85 papers that have together received 3.2k indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (31 papers), Computational Drug Discovery Methods (24 papers), Cell Image Analysis Techniques (15 papers), Protein Structure and Dynamics (15 papers), Homotopy and Cohomology in Algebraic Topology (13 papers), Bioinformatics and Genomic Networks (12 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and vaccines and immunoinformatics approaches (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.7k citations), Biophysics (263 citations), Mathematical Physics (249 citations), Infectious Diseases (500 citations) and Molecular Biology (1.6k citations). Guo‐Wei Wei has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Zixuan Cang, Rui Wang, Kaifu Gao, Duc Duy Nguyen, Kelin Xia, Jiahui Chen, Menglun Wang, Lin Mu, Dong Chen and Yuta Hozumi. Their work appears in journals such as Computers in Biology and Medicine, Chemical Science, Nature Machine Intelligence, International Journal for Numerical Methods in Biomedical Engineering and Nature Communications.
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.