Tsung-Chih Lin
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Co-authors
- Mehdi RoopaeiMing-Che ChenZhenbin DuMansoor Zolghadri JahromiYu‐Chen LinValentina Emilia BălaşRobert JohnBijan Ranjbar-Sahraei
- Topics
- Neural Networks and Applications (22 papers)Chaos control and synchronization (16 papers)Fuzzy Logic and Control Systems (15 papers)
In The Last Decade
Tsung-Chih Lin
38 papers receiving 799 citations
Peers
Comparison fields: 5 of 59
- Control and Systems Engineering 444
- Artificial Intelligence 401
- Statistical and Nonlinear Physics 319
- Computer Networks and Communications 210
- Electrical and Electronic Engineering 80
Countries citing papers authored by Tsung-Chih Lin
This map shows the geographic impact of Tsung-Chih 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 Tsung-Chih Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsung-Chih Lin more than expected).
Fields of papers citing papers by Tsung-Chih Lin
This network shows the impact of papers produced by Tsung-Chih 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 Tsung-Chih Lin. The network helps show where Tsung-Chih Lin may publish in the future.
Co-authorship network of co-authors of Tsung-Chih Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Tsung-Chih Lin. A scholar is included among the top collaborators of Tsung-Chih Lin 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 Tsung-Chih Lin. Tsung-Chih Lin 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 | 2 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 57 | |
| 10 | 15 | |
| 11 | 142 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 19 | |
| 18 | 0 | |
| 19 | 9 | |
| 20 | Combined Direct/indirect Adaptive Fuzzy-neural Control With State Observer & Supervisory Controller for Unknown Nonlinear Dynamic Systems. | 1 |
About Tsung-Chih Lin
Tsung-Chih Lin is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering and Artificial Intelligence, having authored 40 papers that have together received 839 indexed citations. Recurring topics across this work include Neural Networks and Applications (22 papers), Chaos control and synchronization (16 papers) and Fuzzy Logic and Control Systems (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (319 citations), Control and Systems Engineering (444 citations) and Artificial Intelligence (401 citations). Tsung-Chih Lin has collaborated with scholars based in Taiwan, Romania and Iran. Frequent co-authors include Mehdi Roopaei, Ming-Che Chen, Zhenbin Du, Mansoor Zolghadri Jahromi, Yu‐Chen Lin, Valentina Emilia Bălaş, Robert John, Bijan Ranjbar-Sahraei, Yi‐Ming Chang and Jiann-Fuh Chen. Their work appears in journals such as IEEE Access, IEEE Transactions on Fuzzy Systems and Neurocomputing.
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.