Juncheng Wei
Impact in
- Applied Mathematics top 0.01%
- Nonlinear Partial Differential Equations
- Geometric Analysis and Curvature Flows
- Numerical Analysis top 0.5%
- Differential Equations and Numerical Methods
Papers in
-
- Nonlinear Partial Differential Equations 361
- Geometric Analysis and Curvature Flows 58
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- Nonlinear Dynamics and Pattern Formation 96
- Co-authors
- Matthias Winter (52 shared papers)Manuel A. del Pino (44 shared papers)Tai‐Chia Lin (11 shared papers)Xiaofeng Ren (27 shared papers)Michael J. Ward (23 shared papers)Shusen Yan (15 shared papers)Changfeng Gui (7 shared papers)Michał Kowalczyk (18 shared papers)
In The Last Decade
Juncheng Wei
491 papers receiving 11.9k citations
Juncheng Wei's Hit Papers
Peers
Comparison fields: 5 of 87
- Applied Mathematics 9.8k
- Numerical Analysis 613
- Computer Networks and Communications 2.3k
- Modeling and Simulation 312
- Mathematical Physics 704
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-authors
The 25 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
Showing the 20 most-cited of 507 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ground State of N Coupled Nonlinear Schr�dinger Equations in Rn,n?3 Hit paper breakdown → | 2005 | 338 |
| 2 | 1999 | 290 | |
| 3 | 2007 | 258 | |
| 4 | 1995 | 250 | |
| 5 | 1999 | 199 | |
| 6 | 2001 | 188 | |
| 7 | 2013 | 171 | |
| 8 | 2010 | 169 | |
| 9 | 2007 | 166 | |
| 10 | 2000 | 163 | |
| 11 | 2005 | 161 | |
| 12 | 2009 | 160 | |
| 13 | 2011 | 160 | |
| 14 | 2008 | 159 | |
| 15 | 1999 | 147 | |
| 16 | 1997 | 142 | |
| 17 | 2006 | 142 | |
| 18 | 2009 | 139 | |
| 19 | 2000 | 130 | |
| 20 | 2005 | 127 |
About Juncheng Wei
Juncheng Wei is a scholar working on Applied Mathematics, Computer Networks and Communications, Numerical Analysis, Mathematical Physics and Modeling and Simulation, having authored 507 papers that have together received 13.1k indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (361 papers), Nonlinear Dynamics and Pattern Formation (96 papers), Geometric Analysis and Curvature Flows (58 papers), Differential Equations and Numerical Methods (29 papers), Advanced Mathematical Physics Problems (25 papers), Block Copolymer Self-Assembly (19 papers), Solidification and crystal growth phenomena (15 papers) and Mathematical Biology Tumor Growth (11 papers). The work is most often cited by research in Applied Mathematics (9.8k citations), Numerical Analysis (613 citations), Computer Networks and Communications (2.3k citations), Modeling and Simulation (312 citations) and Mathematical Physics (704 citations). Juncheng Wei has collaborated with scholars based in Hong Kong, Canada and China. Frequent co-authors include Matthias Winter, Manuel A. del Pino, Tai‐Chia Lin, Xiaofeng Ren, Michael J. Ward, Shusen Yan, Changfeng Gui, Michał Kowalczyk, Tobias Weth and Wei‐Ming Ni. Their work appears in journals such as Journal of Differential Equations, Calculus of Variations and Partial Differential Equations, SIAM Journal on Mathematical Analysis, Journal of Functional Analysis 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.