Teh‐Lu Liao
- Computer Networks and Communications top 0.5%
- Statistical and Nonlinear Physics top 0.2%
- Control and Systems Engineering top 2%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Jun‐Juh YanNan-Sheng HuangYi‐You HouLi‐Chen FuChi‐Chuan HwangMeei-Ling HungChi-Chuan HwangHsin-Chieh Chen
- Topics
- Chaos control and synchronization (74 papers)Nonlinear Dynamics and Pattern Formation (56 papers)Neural Networks Stability and Synchronization (46 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsControl and Systems Engineering
- Journals
- Physical Review LettersIEEE Transactions on Automatic ControlExpert Systems with Applications
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Teh‐Lu Liao
148 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 94
- Computer Networks and Communications 2.2k
- Statistical and Nonlinear Physics 2.2k
- Control and Systems Engineering 685
- Artificial Intelligence 609
- Computer Vision and Pattern Recognition 482
Countries citing papers authored by Teh‐Lu Liao
This map shows the geographic impact of Teh‐Lu Liao'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 Teh‐Lu Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teh‐Lu Liao more than expected).
Fields of papers citing papers by Teh‐Lu Liao
This network shows the impact of papers produced by Teh‐Lu Liao. 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 Teh‐Lu Liao. The network helps show where Teh‐Lu Liao may publish in the future.
Co-authorship network of co-authors of Teh‐Lu Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Teh‐Lu Liao. A scholar is included among the top collaborators of Teh‐Lu Liao 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 Teh‐Lu Liao. Teh‐Lu Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 37 | |
| 12 | 27 | |
| 13 | 4 | |
| 14 | 40 | |
| 15 | 98 | |
| 16 | 40 | |
| 17 | 45 | |
| 18 | 1 | |
| 19 | 177 | |
| 20 | Indirect adaptive control of a class of unknown nonlinear discrete-time systems using hybrid neural networks | 1 |
About Teh‐Lu Liao
Teh‐Lu Liao is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 153 papers that have together received 3.7k indexed citations. Recurring topics across this work include Chaos control and synchronization (74 papers), Nonlinear Dynamics and Pattern Formation (56 papers) and Neural Networks Stability and Synchronization (46 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.2k citations), Computer Networks and Communications (2.2k citations) and Control and Systems Engineering (685 citations). Teh‐Lu Liao has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jun‐Juh Yan, Nan-Sheng Huang, Yi‐You Hou, Li‐Chen Fu, Chi‐Chuan Hwang, Meei-Ling Hung, Chi-Chuan Hwang, Hsin-Chieh Chen, Sung-Yi Yang and Suz-Kai Hsiung. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Automatic Control and Expert Systems with Applications.
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.