Jun Chai
Impact in
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- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
- Model Reduction and Neural Networks
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- Fractional Differential Equations Solutions
Papers in
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- Nonlinear Waves and Solitons 47
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- Cold Atom Physics and Bose-Einstein Condensates 1
- Dust and Plasma Wave Phenomena 1
- Co-authors
- Bo Tian (46 shared papers)Xiao-Yu Wu (14 shared papers)Wen‐Rong Sun (12 shared papers)Xi-Yang Xie (13 shared papers)Hui‐Ling Zhen (12 shared papers)Hui-Min Yin (8 shared papers)Lei Liu (7 shared papers)Zhong Hua Du (4 shared papers)
- Journals
- Superlattices and Microstructures (4 papers)Waves in Random and Complex Media (4 papers)Optical Engineering (3 papers)Communications in Nonlinear Science and Numerical Simulation (3 papers)Computers & Mathematics with Applications (3 papers)
- Partner nations
- China
In The Last Decade
Jun Chai
47 papers receiving 815 citations
Peers
Comparison fields: 5 of 20
- Statistical and Nonlinear Physics 774
- Modeling and Simulation 12
- Atomic and Molecular Physics, and Optics 26
- Mathematical Physics 6
- Numerical Analysis 2
Countries citing papers authored by Jun Chai
This map shows the geographic impact of Jun Chai'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 Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Chai more than expected).
Fields of papers citing papers by Jun Chai
This network shows the impact of papers produced by Jun Chai. 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 Chai. The network helps show where Jun Chai may publish in the future.
Co-authors
The 23 scholars most cited alongside Jun Chai, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 65 | |
| 2 | 2016 | 51 | |
| 3 | 2016 | 49 | |
| 4 | 2017 | 46 | |
| 5 | 2016 | 45 | |
| 6 | 2016 | 38 | |
| 7 | 2016 | 37 | |
| 8 | 2015 | 35 | |
| 9 | 2017 | 35 | |
| 10 | 2018 | 32 | |
| 11 | 2016 | 30 | |
| 12 | 2016 | 28 | |
| 13 | 2016 | 27 | |
| 14 | 2017 | 22 | |
| 15 | 2017 | 22 | |
| 16 | 2016 | 20 | |
| 17 | 2015 | 19 | |
| 18 | 2017 | 17 | |
| 19 | 2017 | 17 | |
| 20 | 2015 | 16 |
About Jun Chai
Jun Chai is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics, Mathematical Physics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 47 papers that have together received 828 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (47 papers), Cold Atom Physics and Bose-Einstein Condensates (1 paper), Dust and Plasma Wave Phenomena (1 paper) and Advanced Mathematical Physics Problems (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (774 citations), Modeling and Simulation (12 citations), Atomic and Molecular Physics, and Optics (26 citations), Mathematical Physics (6 citations) and Numerical Analysis (2 citations). Jun Chai has collaborated with scholars based in China. Frequent co-authors include Bo Tian, Xiao-Yu Wu, Wen‐Rong Sun, Xi-Yang Xie, Hui‐Ling Zhen, Hui-Min Yin, Lei Liu, Zhong Hua Du, De-Yin Liu and Xue-Hui Zhao. Their work appears in journals such as Superlattices and Microstructures, Waves in Random and Complex Media, Optical Engineering, Communications in Nonlinear Science and Numerical Simulation and Computers & Mathematics with Applications.
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.