Juncheng Wei
Impact in
- Applied Mathematics top 2%
- Nonlinear Partial Differential Equations
- Nonlinear Differential Equations Analysis
- Mathematical Physics top 5%
- Advanced Mathematical Physics Problems
- Numerical methods in inverse problems
- Spectral Theory in Mathematical Physics
Papers in
-
- Advanced Mathematical Physics Problems 2
- Spectral Theory in Mathematical Physics 1
-
- Nonlinear Partial Differential Equations 4
- Co-authors
- Michał KowalczykManuel del PinoLi MaAndrea MalchiodiWei‐Ming NiWen YangXiao LuoGiusi Vaira
- Journals
- Proceedings of the London Mathematical Society (1 paper)Journal of the London Mathematical Society (1 paper)SIAM Journal on Mathematical Analysis (1 paper)Commentarii Mathematici Helvetici (1 paper)Physica D Nonlinear Phenomena (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Juncheng Wei
6 papers receiving 266 citations
Peers
Comparison fields: 5 of 31
- Applied Mathematics 223
- Mathematical Physics 126
- Computational Theory and Mathematics 177
- Numerical Analysis 59
- Modeling and Simulation 14
Countries citing papers authored by Juncheng Wei
This map shows the geographic impact of Juncheng 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 Juncheng Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juncheng Wei more than expected).
Fields of papers citing papers by Juncheng Wei
This network shows the impact of papers produced by Juncheng 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 Juncheng Wei. The network helps show where Juncheng Wei may publish in the future.
Co-authorship network
The 9 scholars most cited alongside Juncheng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2006 | 130 | |
| 5 | 2004 | 52 | |
| 6 | 2001 | 70 | |
| 7 | 2001 | 43 |
About Juncheng Wei
Juncheng Wei is a scholar working on Mathematical Physics, Applied Mathematics, Computational Theory and Mathematics, Modeling and Simulation and Numerical Analysis, having authored 7 papers that have together received 298 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (4 papers), Advanced Mathematical Modeling in Engineering (4 papers), Advanced Mathematical Physics Problems (2 papers), Spectral Theory in Mathematical Physics (1 paper), Quantum, superfluid, helium dynamics (1 paper), Atomic and Subatomic Physics Research (1 paper), Mathematical and Theoretical Epidemiology and Ecology Models (1 paper) and Nonlinear Photonic Systems (1 paper). The work is most often cited by research in Applied Mathematics (223 citations), Mathematical Physics (126 citations), Computational Theory and Mathematics (177 citations), Numerical Analysis (59 citations) and Modeling and Simulation (14 citations). Juncheng Wei has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Michał Kowalczyk, Manuel del Pino, Li Ma, Andrea Malchiodi, Wei‐Ming Ni, Wen Yang, Xiao Luo, Giusi Vaira and Yuanze Wu. Their work appears in journals such as Proceedings of the London Mathematical Society, Journal of the London Mathematical Society, SIAM Journal on Mathematical Analysis, Commentarii Mathematici Helvetici and Physica D Nonlinear Phenomena.
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.