Chih‐Min Lin
Impact in
- Control and Systems Engineering top 0.5%
- Adaptive Control of Nonlinear Systems
- Iterative Learning Control Systems
- Advanced Algorithms and Applications
- Control and Dynamics of Mobile Robots
- Artificial Intelligence top 1%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
Papers in
-
- Adaptive Control of Nonlinear Systems 74
- Advanced Algorithms and Applications 26
- Iterative Learning Control Systems 19
- Control and Dynamics of Mobile Robots 11
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- Neural Networks and Applications 44
- Fuzzy Logic and Control Systems 39
Chih‐Min Lin
193 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 136
- Control and Systems Engineering 2.2k
- Artificial Intelligence 1.4k
- Statistical and Nonlinear Physics 397
- Computer Networks and Communications 531
- Computer Vision and Pattern Recognition 424
Countries citing papers authored by Chih‐Min Lin
This map shows the geographic impact of Chih‐Min Lin'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‐Min Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Min Lin more than expected).
Fields of papers citing papers by Chih‐Min Lin
This network shows the impact of papers produced by Chih‐Min Lin. 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‐Min Lin. The network helps show where Chih‐Min Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chih‐Min Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 11 | |
| 6 | 2020 | 2 | |
| 7 | 2017 | 4 | |
| 8 | 2016 | 10 | |
| 9 | 2016 | 8 | |
| 10 | 2015 | 15 | |
| 11 | 2014 | 8 | |
| 12 | 2014 | 5 | |
| 13 | A Self-Organizing Interval Type-2 Fuzzy Neural Network for Radar Emitter Identification | 2014 | 33 |
| 14 | 2013 | 15 | |
| 15 | Intelligent LQI-based wireless sensor network applied to ZigBee positioning system | 2013 | 2 |
| 16 | 2012 | 11 | |
| 17 | 2011 | 13 | |
| 18 | CMAC-based dynamic-balancing design for humanoid robot | 2010 | 2 |
| 19 | FPGA-based real-time implementation of an adaptive RCMAC control system | 2008 | 1 |
| 20 | Ureteral Endometriosis with Renal Loss: A Case Report | 2004 | 2 |
About Chih‐Min Lin
Chih‐Min Lin is a scholar working on Control and Systems Engineering, Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 198 papers that have together received 4.0k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (74 papers), Neural Networks and Applications (44 papers), Fuzzy Logic and Control Systems (39 papers), Advanced Algorithms and Applications (26 papers), Chaos control and synchronization (26 papers), Neural Networks Stability and Synchronization (19 papers), Iterative Learning Control Systems (19 papers) and Control and Dynamics of Mobile Robots (11 papers). The work is most often cited by research in Control and Systems Engineering (2.2k citations), Artificial Intelligence (1.4k citations), Statistical and Nonlinear Physics (397 citations), Computer Networks and Communications (531 citations) and Computer Vision and Pattern Recognition (424 citations). Chih‐Min Lin has collaborated with scholars based in Taiwan, China and United Kingdom. Frequent co-authors include Chun‐Fei Hsu, Hsin-Yi Li, Y.-F. Peng, Tuân-Tú Huỳnh, Rong‐Jong Wai, Fei Chao, Tien-Loc Le, Te‐Yu Chen, Changle Zhou and Longzhi Yang. Their work appears in journals such as International Journal of Fuzzy Systems, Journal of Intelligent & Fuzzy Systems, IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Fuzzy Systems.
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.