Mu-Fa Chen
Impact in
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics
- Spectral Theory in Mathematical Physics
- Statistics and Probability top 1%
- Markov Chains and Monte Carlo Methods
Papers in
-
- Spectral Theory in Mathematical Physics 15
- Stochastic processes and statistical mechanics 13
-
- Advanced Mathematical Modeling in Engineering 14
- Matrix Theory and Algorithms 11
- Co-authors
- Feng‐Yu Wang (6 shared papers)Yuhui Zhang (1 shared paper)Yingzhe Wang (1 shared paper)Xu Zhang (1 shared paper)Yong-Hua Mao (1 shared paper)E. Scacciatelli (1 shared paper)Yuhui Zhang (2 shared papers)Rong‐Rong Chen (1 shared paper)
- Journals
- The Annals of Probability (2 papers)Journal of Applied Probability (2 papers)Frontiers of Mathematics (18 papers)Probability Theory and Related Fields (1 paper)The Annals of Applied Probability (1 paper)
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Mu-Fa Chen
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 73
- Mathematical Physics 588
- Statistics and Probability 472
- Applied Mathematics 433
- Finance 217
- Computational Theory and Mathematics 308
Countries citing papers authored by Mu-Fa Chen
This map shows the geographic impact of Mu-Fa Chen'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 Mu-Fa Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu-Fa Chen more than expected).
Fields of papers citing papers by Mu-Fa Chen
This network shows the impact of papers produced by Mu-Fa Chen. 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 Mu-Fa Chen. The network helps show where Mu-Fa Chen may publish in the future.
Co-authors
The 13 scholars most cited alongside Mu-Fa Chen, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 248 | |
| 2 | 2004 | 143 | |
| 3 | 1989 | 90 | |
| 4 | 1997 | 67 | |
| 5 | 2000 | 66 | |
| 6 | 1997 | 53 | |
| 7 | 2000 | 47 | |
| 8 | 2010 | 42 | |
| 9 | 1999 | 34 | |
| 10 | 2001 | 31 | |
| 11 | 2000 | 31 | |
| 12 | 2000 | 27 | |
| 13 | 1998 | 27 | |
| 14 | 1997 | 26 | |
| 15 | 1991 | 23 | |
| 16 | 1993 | 23 | |
| 17 | 1999 | 17 | |
| 18 | 1999 | 15 | |
| 19 | 2000 | 14 | |
| 20 | 1997 | 14 |
About Mu-Fa Chen
Mu-Fa Chen is a scholar working on Mathematical Physics, Computational Theory and Mathematics, Applied Mathematics, Statistics and Probability and Statistical and Nonlinear Physics, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (15 papers), Advanced Mathematical Modeling in Engineering (14 papers), Markov Chains and Monte Carlo Methods (14 papers), Stochastic processes and statistical mechanics (13 papers), Nonlinear Partial Differential Equations (12 papers), Matrix Theory and Algorithms (11 papers), Geometric Analysis and Curvature Flows (6 papers) and Quantum chaos and dynamical systems (6 papers). The work is most often cited by research in Mathematical Physics (588 citations), Statistics and Probability (472 citations), Applied Mathematics (433 citations), Finance (217 citations) and Computational Theory and Mathematics (308 citations). Mu-Fa Chen has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Feng‐Yu Wang, Yuhui Zhang, Yingzhe Wang, Xu Zhang, Yong-Hua Mao, E. Scacciatelli, Yuhui Zhang, Rong‐Rong Chen, Zhigang Jia and Hong‐Kui Pang. Their work appears in journals such as The Annals of Probability, Journal of Applied Probability, Frontiers of Mathematics, Probability Theory and Related Fields and The Annals of Applied Probability.
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.