Jong‐Chen Chen
Impact in
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- Efficiency Analysis Using DEA
- Multi-Criteria Decision Making
- Strategy and Management top 10%
- Innovation and Knowledge Management
Papers in
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- Evolutionary Algorithms and Applications 14
- Neural Networks and Applications 10
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- Neural dynamics and brain function 6
- Co-authors
- Michael Conrad (5 shared papers)Yie‐Chan Chiu (1 shared paper)Frank S. C. Tseng (1 shared paper)H. M. Walborsky (2 shared papers)Shou‐Jen Lan (5 shared papers)Li‐Chin Lu (5 shared papers)Shao‐Huan Lan (5 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)Biosystems (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Jong‐Chen Chen
40 papers receiving 572 citations
Peers
Comparison fields: 5 of 123
- Management Science and Operations Research 85
- Strategy and Management 64
- Management Information Systems 32
- Artificial Intelligence 115
- Physical and Theoretical Chemistry 28
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 120 | |
| 2 | 2021 | 60 | |
| 3 | 2017 | 48 | |
| 4 | 2019 | 39 | |
| 5 | 2020 | 32 | |
| 6 | 1970 | 32 | |
| 7 | 1994 | 32 | |
| 8 | 1971 | 30 | |
| 9 | 1994 | 22 | |
| 10 | 1997 | 17 | |
| 11 | 2002 | 17 | |
| 12 | 2006 | 17 | |
| 13 | 2010 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 1997 | 12 | |
| 16 | 2016 | 10 | |
| 17 | 2006 | 10 | |
| 18 | 1971 | 9 | |
| 19 | 2006 | 8 | |
| 20 | Croup syndrome in children: five-year experience. | 1999 | 8 |
About Jong‐Chen Chen
Jong‐Chen Chen is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Computational Theory and Mathematics, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 47 papers that have together received 610 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (14 papers), Neural Networks and Applications (10 papers), Neural dynamics and brain function (6 papers), Advanced Memory and Neural Computing (5 papers), Cellular Automata and Applications (4 papers), Cyclopropane Reaction Mechanisms (3 papers), Neuroscience and Neural Engineering (3 papers) and Muscle activation and electromyography studies (3 papers). The work is most often cited by research in Management Science and Operations Research (85 citations), Strategy and Management (64 citations), Management Information Systems (32 citations), Artificial Intelligence (115 citations) and Physical and Theoretical Chemistry (28 citations). Jong‐Chen Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Michael Conrad, Yie‐Chan Chiu, Frank S. C. Tseng, H. M. Walborsky, Shou‐Jen Lan, Li‐Chin Lu, Shao‐Huan Lan, 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 Biosystems.
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.