H.H. Chen
Impact in
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- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
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- Advanced Mathematical Physics Problems
Papers in
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- Nonlinear Waves and Solitons 8
- Chaos control and synchronization 1
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- Neural Networks and Applications 4
- Speech Recognition and Synthesis 3
- Co-authors
- C. S. Liu (1 shared paper)Y.C. Lee (12 shared papers)Jeng-Eng Lin (3 shared papers)Guo-Zheng Sun (6 shared papers)Clyde Lee Giles (3 shared papers)Dong Chen (2 shared papers)P. K. A. Wai (1 shared paper)Curtis R. Menyuk (1 shared paper)
- Journals
- Physics Letters A (4 papers)Physica D Nonlinear Phenomena (2 papers)Physical Review Letters (1 paper)IEEE Journal of Quantum Electronics (1 paper)Neural Networks (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
H.H. Chen
14 papers receiving 315 citations
Peers
Comparison fields: 5 of 24
- Statistical and Nonlinear Physics 240
- Mathematical Physics 22
- Nuclear and High Energy Physics 33
- Atomic and Molecular Physics, and Optics 46
- Artificial Intelligence 36
Countries citing papers authored by H.H. Chen
This map shows the geographic impact of H.H. 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 H.H. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.H. Chen more than expected).
Fields of papers citing papers by H.H. Chen
This network shows the impact of papers produced by H.H. 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 H.H. Chen. The network helps show where H.H. Chen may publish in the future.
Co-authors
The 12 scholars most cited alongside H.H. 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 | 1978 | 122 | |
| 2 | 1983 | 76 | |
| 3 | 2002 | 26 | |
| 4 | 1977 | 24 | |
| 5 | 1982 | 23 | |
| 6 | 1982 | 21 | |
| 7 | 1988 | 21 | |
| 8 | 1990 | 6 | |
| 9 | 2002 | 6 | |
| 10 | 1980 | 4 | |
| 11 | 1988 | 3 | |
| 12 | 1990 | 3 | |
| 13 | 2002 | 3 | |
| 14 | 1986 | 1 | |
| 15 | 2003 | 1 |
About H.H. Chen
H.H. Chen is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics, Nuclear and High Energy Physics and Computer Networks and Communications, having authored 15 papers that have together received 340 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (8 papers), Neural Networks and Applications (4 papers), Speech Recognition and Synthesis (3 papers), Chaos control and synchronization (1 paper), semigroups and automata theory (1 paper), Nonlinear Dynamics and Pattern Formation (1 paper) and Laser-Plasma Interactions and Diagnostics (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (240 citations), Mathematical Physics (22 citations), Nuclear and High Energy Physics (33 citations), Atomic and Molecular Physics, and Optics (46 citations) and Artificial Intelligence (36 citations). H.H. Chen has collaborated with scholars based in United States and Japan. Frequent co-authors include C. S. Liu, Y.C. Lee, Jeng-Eng Lin, Guo-Zheng Sun, Clyde Lee Giles, Dong Chen, P. K. A. Wai, Curtis R. Menyuk, Parvez N. Guzdar and Ryogo Hirota. Their work appears in journals such as Physics Letters A, Physica D Nonlinear Phenomena, Physical Review Letters, IEEE Journal of Quantum Electronics and 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.