Shyh‐Leh Chen
- Control and Systems Engineering top 1%
- Mechanical Engineering top 5%
- Civil and Structural Engineering top 10%
- Electrical and Electronic Engineering
- Computational Mechanics top 10%
- Co-authors
- Kai–Chiang WuSteven W. ShawJing‐Sin LiuYukai ChenHuei‐Yung LinAnil Kumar SinghB. K. PatleBrijesh Patel
- Topics
- Iterative Learning Control Systems (31 papers)Magnetic Bearings and Levitation Dynamics (19 papers)Tribology and Lubrication Engineering (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsAutomatica
- Partner nations
- TaiwanThailandUnited States
In The Last Decade
Shyh‐Leh Chen
63 papers receiving 816 citations
Peers
Comparison fields: 5 of 49
- Control and Systems Engineering 745
- Mechanical Engineering 441
- Civil and Structural Engineering 128
- Electrical and Electronic Engineering 121
- Computational Mechanics 118
Countries citing papers authored by Shyh‐Leh Chen
This map shows the geographic impact of Shyh‐Leh 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 Shyh‐Leh Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shyh‐Leh Chen more than expected).
Fields of papers citing papers by Shyh‐Leh Chen
This network shows the impact of papers produced by Shyh‐Leh 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 Shyh‐Leh Chen. The network helps show where Shyh‐Leh Chen may publish in the future.
Co-authorship network of co-authors of Shyh‐Leh Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Shyh‐Leh Chen. A scholar is included among the top collaborators of Shyh‐Leh Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shyh‐Leh Chen. Shyh‐Leh Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 13 | |
| 16 | Nonlinear high-gain observer for a three-pole active magnetic bearing system | 3 |
| 17 | 3 | |
| 18 | 9 | |
| 19 | 4 | |
| 20 | 46 |
About Shyh‐Leh Chen
Shyh‐Leh Chen is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computational Mechanics, having authored 65 papers that have together received 853 indexed citations. Recurring topics across this work include Iterative Learning Control Systems (31 papers), Magnetic Bearings and Levitation Dynamics (19 papers) and Tribology and Lubrication Engineering (16 papers). The work is most often cited by research in Control and Systems Engineering (745 citations), Mechanical Engineering (441 citations) and General Materials Science (21 citations). Shyh‐Leh Chen has collaborated with scholars based in Taiwan, Thailand and United States. Frequent co-authors include Kai–Chiang Wu, Steven W. Shaw, Jing‐Sin Liu, Yukai Chen, Huei‐Yung Lin, Anil Kumar Singh, B. K. Patle, Brijesh Patel and Tsu‐Chin Tsao. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Automatica.
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.