Wuchen Li
Impact in
- Applied Mathematics top 5%
- Geometric Analysis and Curvature Flows
- Computational Mathematics top 10%
Papers in
-
- Geometric Analysis and Curvature Flows 31
- Co-authors
- Stanley Osher (32 shared papers)Levon Nurbekyan (3 shared papers)Samy Wu Fung (2 shared papers)Haomin Zhou (11 shared papers)Alfredo Garbuno-Iñigo (1 shared paper)Andrew M. Stuart (1 shared paper)Franca Hoffmann (1 shared paper)Siting Liu (14 shared papers)
- Journals
- Journal of Computational Physics (12 papers)Research in the Mathematical Sciences (6 papers)Journal of Scientific Computing (3 papers)Journal of Differential Equations (3 papers)SIAM Journal on Scientific Computing (2 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Wuchen Li
73 papers receiving 825 citations
Peers
Comparison fields: 5 of 77
- Applied Mathematics 195
- Computational Mathematics 11
- Modeling and Simulation 86
- Statistical and Nonlinear Physics 228
- Statistics and Probability 106
Countries citing papers authored by Wuchen Li
This map shows the geographic impact of Wuchen Li'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 Wuchen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wuchen Li more than expected).
Fields of papers citing papers by Wuchen Li
This network shows the impact of papers produced by Wuchen Li. 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 Wuchen Li. The network helps show where Wuchen Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Wuchen Li, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 116 | |
| 2 | 2020 | 99 | |
| 3 | 2020 | 53 | |
| 4 | 2018 | 32 | |
| 5 | 2021 | 26 | |
| 6 | 2020 | 25 | |
| 7 | 2018 | 24 | |
| 8 | 2020 | 19 | |
| 9 | 2020 | 19 | |
| 10 | 2022 | 19 | |
| 11 | 2021 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2022 | 16 | |
| 14 | 2019 | 16 | |
| 15 | 2021 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2022 | 14 | |
| 18 | Geometry of probability simplex via optimal transport | 2018 | 12 |
| 19 | 2022 | 12 | |
| 20 | 2018 | 12 |
About Wuchen Li
Wuchen Li is a scholar working on Applied Mathematics, Computational Mechanics, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Statistics and Probability, having authored 83 papers that have together received 851 indexed citations. Recurring topics across this work include Geometric Analysis and Curvature Flows (31 papers), Markov Chains and Monte Carlo Methods (14 papers), Topological and Geometric Data Analysis (11 papers), Stochastic processes and financial applications (10 papers), Statistical Mechanics and Entropy (8 papers), Mathematical Biology Tumor Growth (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Numerical methods in inverse problems (6 papers). The work is most often cited by research in Applied Mathematics (195 citations), Computational Mathematics (11 citations), Modeling and Simulation (86 citations), Statistical and Nonlinear Physics (228 citations) and Statistics and Probability (106 citations). Wuchen Li has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Stanley Osher, Levon Nurbekyan, Samy Wu Fung, Haomin Zhou, Alfredo Garbuno-Iñigo, Andrew M. Stuart, Franca Hoffmann, Siting Liu, Lars Ruthotto and Guido Montúfar. Their work appears in journals such as Journal of Computational Physics, Research in the Mathematical Sciences, Journal of Scientific Computing, Journal of Differential Equations and SIAM Journal on Scientific Computing.
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.