Weiping Yan
Impact in
- Applied Mathematics top 5%
- Navier-Stokes equation solutions
- Nonlinear Differential Equations Analysis
- Mathematical Physics top 10%
- Advanced Mathematical Physics Problems
Papers in
-
- Navier-Stokes equation solutions 15
- Nonlinear Differential Equations Analysis 8
- Nonlinear Partial Differential Equations 7
- Geometric Analysis and Curvature Flows 5
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- Advanced Mathematical Physics Problems 22
- Co-authors
- Yukun Lv (5 shared papers)Weiping Zhao (5 shared papers)Jurang Yan (7 shared papers)Yong Li (2 shared papers)Shuguan Ji (2 shared papers)Aimin Zhao (2 shared papers)Dong He (2 shared papers)Jun Li (2 shared papers)
In The Last Decade
Weiping Yan
61 papers receiving 465 citations
Peers
Comparison fields: 5 of 64
- Applied Mathematics 135
- Mathematical Physics 103
- Renewable Energy, Sustainability and the Environment 105
- Numerical Analysis 31
- Computational Mechanics 91
Countries citing papers authored by Weiping Yan
This map shows the geographic impact of Weiping Yan'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 Weiping Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiping Yan more than expected).
Fields of papers citing papers by Weiping Yan
This network shows the impact of papers produced by Weiping Yan. 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 Weiping Yan. The network helps show where Weiping Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiping Yan, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 59 | |
| 2 | 2021 | 38 | |
| 3 | 2021 | 37 | |
| 4 | 2010 | 34 | |
| 5 | 2005 | 32 | |
| 6 | 2018 | 19 | |
| 7 | 2016 | 19 | |
| 8 | 2014 | 19 | |
| 9 | 2018 | 17 | |
| 10 | 2019 | 14 | |
| 11 | 2009 | 13 | |
| 12 | 2024 | 12 | |
| 13 | 1993 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2009 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2019 | 7 | |
| 20 | 2017 | 6 |
About Weiping Yan
Weiping Yan is a scholar working on Applied Mathematics, Mathematical Physics, Control and Systems Engineering, Computational Mechanics and Statistical and Nonlinear Physics, having authored 68 papers that have together received 492 indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (22 papers), Navier-Stokes equation solutions (15 papers), Stability and Controllability of Differential Equations (12 papers), Nonlinear Differential Equations Analysis (8 papers), Nonlinear Partial Differential Equations (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (6 papers), Thermochemical Biomass Conversion Processes (5 papers) and Geometric Analysis and Curvature Flows (5 papers). The work is most often cited by research in Applied Mathematics (135 citations), Mathematical Physics (103 citations), Renewable Energy, Sustainability and the Environment (105 citations), Numerical Analysis (31 citations) and Computational Mechanics (91 citations). Weiping Yan has collaborated with scholars based in China, Poland and Romania. Frequent co-authors include Yukun Lv, Weiping Zhao, Jurang Yan, Yong Li, Shuguan Ji, Aimin Zhao, Dong He, Jun Li, Binlin Zhang and Xiaolin Wei. Their work appears in journals such as Nonlinear Analysis, Advances in Nonlinear Analysis, Journal of Geometric Analysis, Applied Thermal Engineering and Journal of Differential Equations.
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.