Chih‐Keng Chen
Impact in
- Automotive Engineering top 5%
- Vehicle Dynamics and Control Systems
- Electric and Hybrid Vehicle Technologies
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- Adaptive Control of Nonlinear Systems
- Real-time simulation and control systems
- Iterative Learning Control Systems
Papers in
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- Real-time simulation and control systems 18
- Iterative Learning Control Systems 8
- Advanced Control Systems Optimization 8
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- Vehicle Dynamics and Control Systems 33
- Electric and Hybrid Vehicle Technologies 10
- Co-authors
- Chih‐Yung Wen (10 shared papers)Boyang Li (9 shared papers)Jingxuan Sun (7 shared papers)Weifeng Zhou (7 shared papers)Trung‐Kien Dao (7 shared papers)Thanh-Son Dao (4 shared papers)Xiaodong Zhang (6 shared papers)Kin Huat Low (1 shared paper)
In The Last Decade
Chih‐Keng Chen
61 papers receiving 639 citations
Peers
Comparison fields: 5 of 57
- Automotive Engineering 231
- Control and Systems Engineering 401
- Aerospace Engineering 192
- Computer Vision and Pattern Recognition 103
- Mechanical Engineering 178
Countries citing papers authored by Chih‐Keng Chen
This map shows the geographic impact of Chih‐Keng 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 Chih‐Keng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Keng Chen more than expected).
Fields of papers citing papers by Chih‐Keng Chen
This network shows the impact of papers produced by Chih‐Keng 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 Chih‐Keng Chen. The network helps show where Chih‐Keng Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chih‐Keng 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 52 | |
| 2 | 2018 | 49 | |
| 3 | 2022 | 45 | |
| 4 | 2006 | 32 | |
| 5 | 2005 | 26 | |
| 6 | 2014 | 24 | |
| 7 | 2018 | 24 | |
| 8 | 2018 | 24 | |
| 9 | 2019 | 23 | |
| 10 | 2007 | 20 | |
| 11 | 2019 | 19 | |
| 12 | 2017 | 19 | |
| 13 | 2010 | 18 | |
| 14 | 2017 | 17 | |
| 15 | 2019 | 17 | |
| 16 | 2004 | 17 | |
| 17 | 2019 | 16 | |
| 18 | 2011 | 16 | |
| 19 | 2006 | 14 | |
| 20 | 2017 | 11 |
About Chih‐Keng Chen
Chih‐Keng Chen is a scholar working on Control and Systems Engineering, Automotive Engineering, Mechanical Engineering, Civil and Structural Engineering and Aerospace Engineering, having authored 63 papers that have together received 655 indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (33 papers), Real-time simulation and control systems (18 papers), Soil Mechanics and Vehicle Dynamics (12 papers), Hydraulic and Pneumatic Systems (11 papers), Electric and Hybrid Vehicle Technologies (10 papers), Iterative Learning Control Systems (8 papers), Advanced Control Systems Optimization (8 papers) and Robotic Path Planning Algorithms (6 papers). The work is most often cited by research in Automotive Engineering (231 citations), Control and Systems Engineering (401 citations), Aerospace Engineering (192 citations), Computer Vision and Pattern Recognition (103 citations) and Mechanical Engineering (178 citations). Chih‐Keng Chen has collaborated with scholars based in Taiwan, China and Hong Kong. Frequent co-authors include Chih‐Yung Wen, Boyang Li, Jingxuan Sun, Weifeng Zhou, Trung‐Kien Dao, Thanh-Son Dao, Xiaodong Zhang, Kin Huat Low, Ming‐Chang Shih and Chih‐Jer Lin. Their work appears in journals such as Sensors, Applied Sciences, Electronics, Vehicle System Dynamics and Japanese Journal of Applied Physics.
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.