Jun Yu
Impact in
-
- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
- Modeling and Simulation top 2%
- Fractional Differential Equations Solutions
Papers in
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- Nonlinear Photonic Systems 38
- Nonlinear Waves and Solitons 37
- Chaos control and synchronization 4
-
- Algebraic structures and combinatorial models 8
- Co-authors
- Wen‐Xiu Ma (4 shared papers)Bo Ren (10 shared papers)Xueying Zhao (1 shared paper)Xing Lü (1 shared paper)Sen‐Yue Lou (6 shared papers)Xing Lu (1 shared paper)Chaudry Masood Khalique (1 shared paper)Fuhong Lin (1 shared paper)
- Journals
- Nonlinear Dynamics (5 papers)Computers & Mathematics with Applications (4 papers)Mathematical Methods in the Applied Sciences (2 papers)International Journal of Nonlinear Sciences and Numerical Simulation (2 papers)Physics Letters A (2 papers)
- Partner nations
- ChinaSouth AfricaUnited States
In The Last Decade
Jun Yu
44 papers receiving 749 citations
Peers
Comparison fields: 5 of 43
- Statistical and Nonlinear Physics 721
- Modeling and Simulation 178
- Geometry and Topology 173
- Mathematical Physics 88
- Numerical Analysis 33
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 20 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 140 | |
| 2 | 2015 | 124 | |
| 3 | 2019 | 98 | |
| 4 | 2018 | 89 | |
| 5 | 1995 | 25 | |
| 6 | 2006 | 24 | |
| 7 | 2016 | 18 | |
| 8 | 2018 | 18 | |
| 9 | 2009 | 18 | |
| 10 | 2000 | 17 | |
| 11 | 2019 | 16 | |
| 12 | 1995 | 16 | |
| 13 | 2018 | 13 | |
| 14 | 2009 | 12 | |
| 15 | 2005 | 12 | |
| 16 | 2014 | 10 | |
| 17 | 2014 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2019 | 7 |
About Jun Yu
Jun Yu is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology, Modeling and Simulation, Atomic and Molecular Physics, and Optics and Spectroscopy, having authored 45 papers that have together received 762 indexed citations. Recurring topics across this work include Nonlinear Photonic Systems (38 papers), Nonlinear Waves and Solitons (37 papers), Advanced Fiber Laser Technologies (10 papers), Algebraic structures and combinatorial models (8 papers), Molecular spectroscopy and chirality (6 papers), Fractional Differential Equations Solutions (6 papers), Nonlinear Dynamics and Pattern Formation (6 papers) and Chaos control and synchronization (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (721 citations), Modeling and Simulation (178 citations), Geometry and Topology (173 citations), Mathematical Physics (88 citations) and Numerical Analysis (33 citations). Jun Yu has collaborated with scholars based in China, South Africa and United States. Frequent co-authors include Wen‐Xiu Ma, Bo Ren, Xueying Zhao, Xing Lü, Sen‐Yue Lou, Xing Lu, Chaudry Masood Khalique, Fuhong Lin, Ji Lin and Xiaoming Gao. Their work appears in journals such as Nonlinear Dynamics, Computers & Mathematics with Applications, Mathematical Methods in the Applied Sciences, International Journal of Nonlinear Sciences and Numerical Simulation and Physics Letters A.
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.