Jun Yu
Impact in
-
- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
- Mathematical Physics top 5%
- Advanced Mathematical Physics Problems
Papers in
-
- Nonlinear Waves and Solitons 13
- Nonlinear Photonic Systems 8
-
- Numerical methods in inverse problems 8
- Advanced Mathematical Physics Problems 6
- Co-authors
- Wenjun Liu (6 shared papers)Xing Lü (1 shared paper)Wen‐Xiu Ma (1 shared paper)Chaudry Masood Khalique (1 shared paper)J. Kevorkian (5 shared papers)Kewang Chen (6 shared papers)Chenggui Yao (3 shared papers)Qi Zhao (2 shared papers)
- Journals
- Studies in Applied Mathematics (7 papers)SIAM Journal on Applied Mathematics (4 papers)Journal of Mathematical Analysis and Applications (3 papers)Journal of Fluid Mechanics (2 papers)Drug Metabolism and Disposition (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Jun Yu
47 papers receiving 565 citations
Peers
Comparison fields: 5 of 75
- Statistical and Nonlinear Physics 248
- Mathematical Physics 130
- Modeling and Simulation 53
- Computational Theory and Mathematics 133
- Numerical Analysis 39
Countries citing papers authored by Jun Yu
This map shows the geographic impact of Jun Yu'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 Jun Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yu more than expected).
Fields of papers citing papers by Jun Yu
This network shows the impact of papers produced by Jun Yu. 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 Jun Yu. The network helps show where Jun Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yu, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 130 | |
| 2 | 2010 | 53 | |
| 3 | 2012 | 40 | |
| 4 | 1992 | 33 | |
| 5 | 2015 | 33 | |
| 6 | 1994 | 22 | |
| 7 | 2016 | 22 | |
| 8 | 2000 | 20 | |
| 9 | 2023 | 18 | |
| 10 | 2015 | 18 | |
| 11 | 1989 | 17 | |
| 12 | 1995 | 14 | |
| 13 | 2015 | 13 | |
| 14 | 2010 | 11 | |
| 15 | 2013 | 11 | |
| 16 | 2013 | 10 | |
| 17 | 2012 | 10 | |
| 18 | 2016 | 9 | |
| 19 | 2016 | 9 | |
| 20 | 1995 | 9 |
About Jun Yu
Jun Yu is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Computer Networks and Communications, Computational Mechanics and Computational Theory and Mathematics, having authored 53 papers that have together received 602 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (13 papers), Advanced Mathematical Modeling in Engineering (12 papers), Nonlinear Dynamics and Pattern Formation (12 papers), Nonlinear Photonic Systems (8 papers), Numerical methods in inverse problems (8 papers), Stability and Controllability of Differential Equations (7 papers), Advanced Mathematical Physics Problems (6 papers) and Combustion and flame dynamics (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (248 citations), Mathematical Physics (130 citations), Modeling and Simulation (53 citations), Computational Theory and Mathematics (133 citations) and Numerical Analysis (39 citations). Jun Yu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Wenjun Liu, Xing Lü, Wen‐Xiu Ma, Chaudry Masood Khalique, J. Kevorkian, Kewang Chen, Chenggui Yao, Qi Zhao, Isabelle Ragueneau‐Majlessi and Tasha K. Ritchie. Their work appears in journals such as Studies in Applied Mathematics, SIAM Journal on Applied Mathematics, Journal of Mathematical Analysis and Applications, Journal of Fluid Mechanics and Drug Metabolism and Disposition.
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.