Xing-Ping Wu
Impact in
- Applied Mathematics top 1%
- Nonlinear Partial Differential Equations
- Nonlinear Differential Equations Analysis
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
Papers in
-
- Nonlinear Partial Differential Equations 43
- Nonlinear Differential Equations Analysis 23
-
- Advanced Mathematical Physics Problems 15
- Spectral Theory in Mathematical Physics 9
- Co-authors
- Chun‐Lei Tang (44 shared papers)Liwu Fu (6 shared papers)Fang Wang (4 shared papers)Yong‐ju Liang (4 shared papers)Kenneth K.W. To (3 shared papers)Liming Chen (2 shared papers)Jia‐Feng Liao (1 shared paper)Ruiqi Liu (1 shared paper)
In The Last Decade
Xing-Ping Wu
60 papers receiving 787 citations
Peers
Comparison fields: 5 of 79
- Applied Mathematics 624
- Numerical Analysis 224
- Computational Theory and Mathematics 311
- Mathematical Physics 157
- Geometry and Topology 80
Countries citing papers authored by Xing-Ping Wu
This map shows the geographic impact of Xing-Ping Wu'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 Xing-Ping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing-Ping Wu more than expected).
Fields of papers citing papers by Xing-Ping Wu
This network shows the impact of papers produced by Xing-Ping Wu. 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 Xing-Ping Wu. The network helps show where Xing-Ping Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing-Ping Wu, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 107 | |
| 2 | 1999 | 64 | |
| 3 | 2002 | 53 | |
| 4 | 2013 | 48 | |
| 5 | 2003 | 47 | |
| 6 | 2012 | 45 | |
| 7 | 2004 | 45 | |
| 8 | 2009 | 32 | |
| 9 | 2018 | 24 | |
| 10 | 2014 | 24 | |
| 11 | 2021 | 23 | |
| 12 | 2016 | 22 | |
| 13 | 2011 | 21 | |
| 14 | 2003 | 19 | |
| 15 | 2003 | 18 | |
| 16 | 2005 | 16 | |
| 17 | 2010 | 16 | |
| 18 | 2012 | 15 | |
| 19 | 1999 | 15 | |
| 20 | 2015 | 15 |
About Xing-Ping Wu
Xing-Ping Wu is a scholar working on Applied Mathematics, Mathematical Physics, Computational Theory and Mathematics, Numerical Analysis and Molecular Biology, having authored 62 papers that have together received 876 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (43 papers), Nonlinear Differential Equations Analysis (23 papers), Advanced Mathematical Modeling in Engineering (22 papers), Advanced Mathematical Physics Problems (15 papers), Differential Equations and Numerical Methods (12 papers), Spectral Theory in Mathematical Physics (9 papers), Advanced Differential Equations and Dynamical Systems (5 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Applied Mathematics (624 citations), Numerical Analysis (224 citations), Computational Theory and Mathematics (311 citations), Mathematical Physics (157 citations) and Geometry and Topology (80 citations). Xing-Ping Wu has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Chun‐Lei Tang, Liwu Fu, Fang Wang, Yong‐ju Liang, Kenneth K.W. To, Liming Chen, Jia‐Feng Liao, Ruiqi Liu, Xiuwen Wang and Zhi Shi. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Nonlinear Analysis, Applied Mathematics Letters, Qualitative Theory of Dynamical Systems and Communications on Pure & Applied Analysis.
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.