Yue‐Jun Peng
Impact in
- Applied Mathematics top 0.5%
- Navier-Stokes equation solutions
- Gas Dynamics and Kinetic Theory
- Geometric Analysis and Curvature Flows
- Mathematical Physics top 2%
- Advanced Mathematical Physics Problems
Papers in
-
- Navier-Stokes equation solutions 57
- Gas Dynamics and Kinetic Theory 21
- Geometric Analysis and Curvature Flows 6
-
- Advanced Mathematical Physics Problems 30
- Co-authors
- Shu Wang (6 shared papers)Yaguang Wang (4 shared papers)Ansgar Jüngel (4 shared papers)Claire Chainais-Hillairet (2 shared papers)Tatsien Li (5 shared papers)Jian‐Guo Liu (1 shared paper)Stéphane Cordier (1 shared paper)Yachun Li (5 shared papers)
In The Last Decade
Yue‐Jun Peng
60 papers receiving 888 citations
Peers
Comparison fields: 5 of 45
- Applied Mathematics 848
- Mathematical Physics 519
- Computational Mechanics 494
- Numerical Analysis 51
- Modeling and Simulation 26
Countries citing papers authored by Yue‐Jun Peng
This map shows the geographic impact of Yue‐Jun Peng'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 Yue‐Jun Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue‐Jun Peng more than expected).
Fields of papers citing papers by Yue‐Jun Peng
This network shows the impact of papers produced by Yue‐Jun Peng. 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 Yue‐Jun Peng. The network helps show where Yue‐Jun Peng may publish in the future.
Co-authors
The 23 scholars most cited alongside Yue‐Jun Peng, 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 | 1999 | 60 | |
| 2 | 2003 | 57 | |
| 3 | 2008 | 55 | |
| 4 | 2011 | 51 | |
| 5 | 2008 | 41 | |
| 6 | 2001 | 36 | |
| 7 | 2007 | 36 | |
| 8 | 2005 | 35 | |
| 9 | 2014 | 35 | |
| 10 | 2004 | 31 | |
| 11 | 2006 | 27 | |
| 12 | 2012 | 26 | |
| 13 | 2006 | 26 | |
| 14 | 2000 | 26 | |
| 15 | 2017 | 25 | |
| 16 | 2004 | 24 | |
| 17 | 2003 | 23 | |
| 18 | 2015 | 23 | |
| 19 | 2010 | 23 | |
| 20 | 2002 | 22 |
About Yue‐Jun Peng
Yue‐Jun Peng is a scholar working on Applied Mathematics, Mathematical Physics, Computational Mechanics, Control and Systems Engineering and Computational Theory and Mathematics, having authored 68 papers that have together received 964 indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (57 papers), Advanced Mathematical Physics Problems (30 papers), Computational Fluid Dynamics and Aerodynamics (22 papers), Gas Dynamics and Kinetic Theory (21 papers), Stability and Controllability of Differential Equations (14 papers), Fluid Dynamics and Turbulent Flows (11 papers), Advanced Mathematical Modeling in Engineering (7 papers) and Geometric Analysis and Curvature Flows (6 papers). The work is most often cited by research in Applied Mathematics (848 citations), Mathematical Physics (519 citations), Computational Mechanics (494 citations), Numerical Analysis (51 citations) and Modeling and Simulation (26 citations). Yue‐Jun Peng has collaborated with scholars based in France, China and Germany. Frequent co-authors include Shu Wang, Yaguang Wang, Ansgar Jüngel, Claire Chainais-Hillairet, Tatsien Li, Jian‐Guo Liu, Stéphane Cordier, Yachun Li, Wen‐An Yong and Jiang Xu. Their work appears in journals such as Journal of Differential Equations, SIAM Journal on Mathematical Analysis, Nonlinear Analysis, Mathematical Methods in the Applied Sciences and Journal de Mathématiques Pures et Appliquées.
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.