Yen-Ping Chen
Impact in
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- Context-Aware Activity Recognition Systems
- Microbiology top 5%
- Microbial infections and disease research
Papers in
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- Adaptive Control of Nonlinear Systems 3
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- Neural Networks and Applications 6
- Fuzzy Logic and Control Systems 4
- Co-authors
- Jeen-Shing Wang (7 shared papers)K.S. Yeung (2 shared papers)Gwo‐Yun Lee (2 shared papers)Hsiang‐Jung Tsai (3 shared papers)Chung‐Hsi Chou (2 shared papers)Shu‐Hwae Lee (3 shared papers)Fan Lee (5 shared papers)Ming‐Shiuh Lee (3 shared papers)
- Journals
- Pattern Recognition Letters (2 papers)Veterinary Microbiology (2 papers)International Journal of Control (2 papers)Infection Genetics and Evolution (2 papers)Avian Pathology (2 papers)
- Partner nations
- TaiwanUnited StatesYemen
In The Last Decade
Yen-Ping Chen
29 papers receiving 825 citations
Peers
Comparison fields: 5 of 127
- Computer Vision and Pattern Recognition 344
- Microbiology 74
- Human-Computer Interaction 53
- Molecular Medicine 36
- Control and Systems Engineering 144
Countries citing papers authored by Yen-Ping Chen
This map shows the geographic impact of Yen-Ping 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 Yen-Ping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen-Ping Chen more than expected).
Fields of papers citing papers by Yen-Ping Chen
This network shows the impact of papers produced by Yen-Ping 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 Yen-Ping Chen. The network helps show where Yen-Ping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yen-Ping 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 295 | |
| 2 | 2006 | 81 | |
| 3 | 2008 | 80 | |
| 4 | 2007 | 56 | |
| 5 | 2010 | 51 | |
| 6 | 2011 | 50 | |
| 7 | 2016 | 48 | |
| 8 | 1990 | 36 | |
| 9 | 1991 | 25 | |
| 10 | 2016 | 19 | |
| 11 | 2015 | 16 | |
| 12 | 2008 | 15 | |
| 13 | 2016 | 14 | |
| 14 | 2018 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2024 | 8 | |
| 17 | 2008 | 8 | |
| 18 | 2005 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2021 | 5 |
About Yen-Ping Chen
Yen-Ping Chen is a scholar working on Control and Systems Engineering, Artificial Intelligence, Infectious Diseases, Epidemiology and Microbiology, having authored 31 papers that have together received 865 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Fuzzy Logic and Control Systems (4 papers), Microbial infections and disease research (4 papers), Viral Infections and Vectors (4 papers), Context-Aware Activity Recognition Systems (3 papers), Vector-Borne Animal Diseases (3 papers), Adaptive Control of Nonlinear Systems (3 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (344 citations), Microbiology (74 citations), Human-Computer Interaction (53 citations), Molecular Medicine (36 citations) and Control and Systems Engineering (144 citations). Yen-Ping Chen has collaborated with scholars based in Taiwan, United States and Yemen. Frequent co-authors include Jeen-Shing Wang, K.S. Yeung, Gwo‐Yun Lee, Hsiang‐Jung Tsai, Chung‐Hsi Chou, Shu‐Hwae Lee, Fan Lee, Ming‐Shiuh Lee, Yupin Liu and Kuo‐Pin Yu. Their work appears in journals such as Pattern Recognition Letters, Veterinary Microbiology, International Journal of Control, Infection Genetics and Evolution and Avian Pathology.
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.