Hsing-Hen Chen
Impact in
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- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
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- Advanced Fiber Laser Technologies
- Cold Atom Physics and Bose-Einstein Condensates
- Laser-Matter Interactions and Applications
Papers in
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- Nonlinear Waves and Solitons 5
- Nonlinear Photonic Systems 4
- Model Reduction and Neural Networks 2
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- Neural Networks and Applications 4
- Machine Learning and Algorithms 2
- Co-authors
- Chuan-Sheng Liu (2 shared papers)Akira Nakamura (2 shared papers)Guo-Zheng Sun (5 shared papers)Dong Chen (2 shared papers)C. Lee Giles (2 shared papers)Celso Grebogi (1 shared paper)V. K. Tripathi (1 shared paper)Mark W. Goudreau (1 shared paper)
- Journals
- Physical Review Letters (3 papers)Journal of the Physical Society of Japan (2 papers)Journal of Mathematical Physics (1 paper)The Physics of Fluids (2 papers)IEEE Transactions on Neural Networks (1 paper)
- Partner nations
- United States
In The Last Decade
Hsing-Hen Chen
13 papers receiving 702 citations
Peers
Comparison fields: 5 of 49
- Statistical and Nonlinear Physics 470
- Atomic and Molecular Physics, and Optics 390
- Mathematical Physics 75
- Nuclear and High Energy Physics 82
- Computational Mathematics 3
Countries citing papers authored by Hsing-Hen Chen
This map shows the geographic impact of Hsing-Hen Chen'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 Hsing-Hen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsing-Hen Chen more than expected).
Fields of papers citing papers by Hsing-Hen Chen
This network shows the impact of papers produced by Hsing-Hen Chen. 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 Hsing-Hen Chen. The network helps show where Hsing-Hen Chen may publish in the future.
Co-authors
The 10 scholars most cited alongside Hsing-Hen Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1976 | 367 | |
| 2 | 1980 | 71 | |
| 3 | Higher Order Recurrent Networks and Grammatical Inference | 1989 | 68 |
| 4 | 1983 | 50 | |
| 5 | 1975 | 42 | |
| 6 | 1995 | 41 | |
| 7 | 1981 | 41 | |
| 8 | 1977 | 29 | |
| 9 | Green's Function Method for Fast On-Line Learning Algorithm of Recurrent Neural Networks | 1991 | 22 |
| 10 | Time Warping Invariant Neural Networks | 1992 | 11 |
| 11 | A Novel Net that Learns Sequential Decision Process | 1987 | 6 |
| 12 | 1985 | 5 | |
| 13 | 1986 | 3 |
About Hsing-Hen Chen
Hsing-Hen Chen is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Astronomy and Astrophysics, Atomic and Molecular Physics, and Optics and Mathematical Physics, having authored 13 papers that have together received 756 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (5 papers), Nonlinear Photonic Systems (4 papers), Neural Networks and Applications (4 papers), Ionosphere and magnetosphere dynamics (3 papers), Laser-induced spectroscopy and plasma (2 papers), Machine Learning and Algorithms (2 papers), Advanced Mathematical Physics Problems (2 papers) and Model Reduction and Neural Networks (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (470 citations), Atomic and Molecular Physics, and Optics (390 citations), Mathematical Physics (75 citations), Nuclear and High Energy Physics (82 citations) and Computational Mathematics (3 citations). Hsing-Hen Chen has collaborated with scholars based in United States. Frequent co-authors include Chuan-Sheng Liu, Akira Nakamura, Guo-Zheng Sun, Dong Chen, C. Lee Giles, Celso Grebogi, V. K. Tripathi, Mark W. Goudreau, Y. C. Lee and Curtis R. Menyuk. Their work appears in journals such as Physical Review Letters, Journal of the Physical Society of Japan, Journal of Mathematical Physics, The Physics of Fluids and IEEE Transactions on Neural Networks.
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.