Jong‐Chen Chen
Impact in
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- Efficiency Analysis Using DEA
- Multi-Criteria Decision Making
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
Papers in
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- Neural Networks and Applications 15
- Evolutionary Algorithms and Applications 8
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- Artificial Intelligence in Healthcare 5
- Co-authors
- Michael Conrad (5 shared papers)Shao‐Huan Lan (4 shared papers)Li‐Chin Lu (4 shared papers)Shou‐Jen Lan (4 shared papers)Harry M. Walborsky (2 shared papers)Yen‐Ping Hsieh (3 shared papers)Long‐Yau Lin (2 shared papers)Yea‐Yin Yen (1 shared paper)
- Journals
- Expert Systems with Applications (5 papers)Biosystems (2 papers)Journal of the American Chemical Society (2 papers)Soft Computing (2 papers)Sensors (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Jong‐Chen Chen
38 papers receiving 557 citations
Peers
Comparison fields: 5 of 92
- Management Science and Operations Research 88
- Artificial Intelligence 90
- Social Psychology 53
- Strategy and Management 43
- Management Information Systems 24
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 16 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 117 | |
| 2 | 2021 | 65 | |
| 3 | 2017 | 49 | |
| 4 | 2019 | 42 | |
| 5 | 1994 | 32 | |
| 6 | 1970 | 31 | |
| 7 | 2020 | 31 | |
| 8 | 1971 | 29 | |
| 9 | 1994 | 22 | |
| 10 | 1997 | 17 | |
| 11 | 2002 | 17 | |
| 12 | 2006 | 17 | |
| 13 | 2010 | 15 | |
| 14 | 2020 | 15 | |
| 15 | 1997 | 12 | |
| 16 | 2006 | 10 | |
| 17 | 2006 | 8 | |
| 18 | 2000 | 7 | |
| 19 | 1998 | 5 | |
| 20 | 2011 | 5 |
About Jong‐Chen Chen
Jong‐Chen Chen is a scholar working on Artificial Intelligence, Health Information Management, Biomedical Engineering, Computational Theory and Mathematics and Management Science and Operations Research, having authored 45 papers that have together received 591 indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Evolutionary Algorithms and Applications (8 papers), Artificial Intelligence in Healthcare (5 papers), Cellular Automata and Applications (5 papers), DNA and Biological Computing (4 papers), Prosthetics and Rehabilitation Robotics (3 papers), Advanced Memory and Neural Computing (3 papers) and Cyclopropane Reaction Mechanisms (2 papers). The work is most often cited by research in Management Science and Operations Research (88 citations), Artificial Intelligence (90 citations), Social Psychology (53 citations), Strategy and Management (43 citations) and Management Information Systems (24 citations). Jong‐Chen Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Michael Conrad, Shao‐Huan Lan, Li‐Chin Lu, Shou‐Jen Lan, Harry M. Walborsky, Yen‐Ping Hsieh, Long‐Yau Lin, Yea‐Yin Yen, Wenjun Wu and Shen-Peng Chang. Their work appears in journals such as Expert Systems with Applications, Biosystems, Journal of the American Chemical Society, Soft Computing and Sensors.
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.