Jun Yan
Impact in
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- Quantum chaos and dynamical systems
- Nonlinear Waves and Solitons
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- Constructed Wetlands for Wastewater Treatment
Papers in
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- Quantum chaos and dynamical systems 25
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- Industrial Technology and Control Systems 9
- Advanced Sensor and Control Systems 7
- Co-authors
- Chong-Qing Cheng (2 shared papers)Kaizhi Wang (16 shared papers)Lin Wang (6 shared papers)Jianqiang Zhu (2 shared papers)Dongliang Qi (2 shared papers)Yi Chen (7 shared papers)Qixia Wu (1 shared paper)Xuebin Hu (3 shared papers)
- Journals
- Bioresource Technology (4 papers)Journal of Differential Equations (4 papers)Journal de Mathématiques Pures et Appliquées (3 papers)Agricultural Water Management (2 papers)Frontiers in Plant Science (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Jun Yan
97 papers receiving 852 citations
Peers
Comparison fields: 5 of 92
- Statistical and Nonlinear Physics 278
- Industrial and Manufacturing Engineering 127
- Pollution 120
- Applied Mathematics 108
- Mathematical Physics 90
Countries citing papers authored by Jun Yan
This map shows the geographic impact of Jun 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 Jun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yan more than expected).
Fields of papers citing papers by Jun Yan
This network shows the impact of papers produced by Jun 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 Jun Yan. The network helps show where Jun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 78 | |
| 2 | 2004 | 71 | |
| 3 | 2022 | 52 | |
| 4 | 2023 | 50 | |
| 5 | 2009 | 41 | |
| 6 | 2016 | 36 | |
| 7 | 1998 | 32 | |
| 8 | 2018 | 32 | |
| 9 | 2020 | 21 | |
| 10 | 2022 | 20 | |
| 11 | 2010 | 20 | |
| 12 | 2022 | 18 | |
| 13 | 2020 | 18 | |
| 14 | 2019 | 18 | |
| 15 | 2024 | 17 | |
| 16 | 2011 | 17 | |
| 17 | 2016 | 16 | |
| 18 | 2006 | 15 | |
| 19 | 2022 | 15 | |
| 20 | 2013 | 13 |
About Jun Yan
Jun Yan is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering, Mathematical Physics, Industrial and Manufacturing Engineering and Atomic and Molecular Physics, and Optics, having authored 103 papers that have together received 899 indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (25 papers), Constructed Wetlands for Wastewater Treatment (10 papers), Industrial Technology and Control Systems (9 papers), Cosmology and Gravitation Theories (7 papers), Physics of Superconductivity and Magnetism (7 papers), Geometric Analysis and Curvature Flows (7 papers), Advanced Sensor and Control Systems (7 papers) and Wastewater Treatment and Nitrogen Removal (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (278 citations), Industrial and Manufacturing Engineering (127 citations), Pollution (120 citations), Applied Mathematics (108 citations) and Mathematical Physics (90 citations). Jun Yan has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Chong-Qing Cheng, Kaizhi Wang, Lin Wang, Jianqiang Zhu, Dongliang Qi, Yi Chen, Qixia Wu, Xuebin Hu, Sung Kyu Choi and Mengli Chen. Their work appears in journals such as Bioresource Technology, Journal of Differential Equations, Journal de Mathématiques Pures et Appliquées, Agricultural Water Management and Frontiers in Plant Science.
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.