Jong‐Chen Chen
Impact in
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- Efficiency Analysis Using DEA
- Multi-Criteria Decision Making
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- Innovation and Knowledge Management
Papers in
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- Evolutionary Algorithms and Applications 11
- Neural Networks and Applications 6
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- Neural dynamics and brain function 5
- Co-authors
- Yie‐Chan Chiu (1 shared paper)Frank S. C. Tseng (1 shared paper)H. M. Walborsky (2 shared papers)Shao‐Huan Lan (5 shared papers)Li‐Chin Lu (5 shared papers)Shou‐Jen Lan (4 shared papers)Michael Conrad (4 shared papers)Yen‐Ping Hsieh (4 shared papers)
- Journals
- Expert Systems with Applications (5 papers)Journal of the American Chemical Society (2 papers)Soft Computing (2 papers)Sensors (2 papers)Neurocomputing (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Jong‐Chen Chen
36 papers receiving 500 citations
Peers
Comparison fields: 5 of 121
- Management Science and Operations Research 79
- Strategy and Management 58
- Pharmacy 16
- Management Information Systems 28
- Artificial Intelligence 86
Countries citing papers authored by Jong‐Chen Chen
This map shows the geographic impact of Jong‐Chen 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 Jong‐Chen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong‐Chen Chen more than expected).
Fields of papers citing papers by Jong‐Chen Chen
This network shows the impact of papers produced by Jong‐Chen 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 Jong‐Chen Chen. The network helps show where Jong‐Chen Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jong‐Chen 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
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 118 | |
| 2 | 2021 | 55 | |
| 3 | 2017 | 47 | |
| 4 | 2019 | 38 | |
| 5 | 2020 | 32 | |
| 6 | 1970 | 30 | |
| 7 | 1971 | 27 | |
| 8 | 1994 | 26 | |
| 9 | 2006 | 16 | |
| 10 | 1997 | 16 | |
| 11 | 2010 | 14 | |
| 12 | 1997 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2002 | 11 | |
| 15 | 2016 | 10 | |
| 16 | Croup syndrome in children: five-year experience. | 1999 | 6 |
| 17 | 2006 | 6 | |
| 18 | 2006 | 6 | |
| 19 | 1998 | 5 | |
| 20 | 2011 | 5 |
About Jong‐Chen Chen
Jong‐Chen Chen is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Management Science and Operations Research, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 40 papers that have together received 529 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (11 papers), Neural Networks and Applications (6 papers), Neural dynamics and brain function (5 papers), Advanced Memory and Neural Computing (4 papers), Cellular Automata and Applications (4 papers), Neuroscience and Neural Engineering (3 papers), Stroke Rehabilitation and Recovery (3 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Management Science and Operations Research (79 citations), Strategy and Management (58 citations), Pharmacy (16 citations), Management Information Systems (28 citations) and Artificial Intelligence (86 citations). Jong‐Chen Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yie‐Chan Chiu, Frank S. C. Tseng, H. M. Walborsky, Shao‐Huan Lan, Li‐Chin Lu, Shou‐Jen Lan, Michael Conrad, Yen‐Ping Hsieh, Long‐Yau Lin and Pai-Chen Lin. Their work appears in journals such as Expert Systems with Applications, Journal of the American Chemical Society, Soft Computing, Sensors and Neurocomputing.
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.