Jin Feng
- Finance top 2%
- Applied Mathematics top 5%
- Mathematical Physics top 5%
- Statistical and Nonlinear Physics top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Thomas G. KurtzDavid NualartLuigi AmbrosioMarkos A. KatsoulakisMartin FordeJean‐Pierre FouqueTruyen NguyenRohini Kumar
- Topics
- Stochastic processes and financial applications (7 papers)Geometric Analysis and Curvature Flows (6 papers)Navier-Stokes equation solutions (3 papers)
- Journals
- Statistics in MedicineCommunications in Mathematical PhysicsTransactions of the American Mathematical Society
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jin Feng
18 papers receiving 447 citations
Peers
Comparison fields: 5 of 50
- Finance 255
- Applied Mathematics 176
- Mathematical Physics 128
- Statistical and Nonlinear Physics 80
- Computational Theory and Mathematics 76
Countries citing papers authored by Jin Feng
This map shows the geographic impact of Jin Feng'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 Jin Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Feng more than expected).
Fields of papers citing papers by Jin Feng
This network shows the impact of papers produced by Jin Feng. 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 Jin Feng. The network helps show where Jin Feng may publish in the future.
Co-authorship network of co-authors of Jin Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Feng. A scholar is included among the top collaborators of Jin Feng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Feng. Jin Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 38 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 17 | |
| 7 | 30 | |
| 8 | 3 | |
| 9 | 22 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 35 | |
| 13 | 73 | |
| 14 | 32 | |
| 15 | 176 | |
| 16 | 6 | |
| 17 | 6 | |
| 18 | 12 |
About Jin Feng
Jin Feng is a scholar working on Finance, Modeling and Simulation and Applied Mathematics, having authored 18 papers that have together received 483 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (7 papers), Geometric Analysis and Curvature Flows (6 papers) and Navier-Stokes equation solutions (3 papers). The work is most often cited by research in Finance (255 citations), Applied Mathematics (176 citations) and Mathematical Physics (128 citations). Jin Feng has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Thomas G. Kurtz, David Nualart, Luigi Ambrosio, Markos A. Katsoulakis, Martin Forde, Jean‐Pierre Fouque, Truyen Nguyen, Rohini Kumar, Andrzej Święch and Eulàlia Nualart. Their work appears in journals such as Statistics in Medicine, Communications in Mathematical Physics and Transactions of the American Mathematical Society.
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.