T. H. Lee
- Control and Systems Engineering top 0.2%
- Computational Theory and Mathematics top 0.5%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Mechanical Engineering top 10%
- Co-authors
- Shuzhi Sam GeBeibei RenKeng Peng TeeKok Kiong TanZhendong SunSunan HuangHong FanKay Chen Tan
- Topics
- Advanced Control Systems Optimization (19 papers)Adaptive Control of Nonlinear Systems (18 papers)Iterative Learning Control Systems (15 papers)
In The Last Decade
T. H. Lee
67 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Control and Systems Engineering 2.4k
- Computational Theory and Mathematics 736
- Computer Networks and Communications 505
- Artificial Intelligence 428
- Mechanical Engineering 287
Countries citing papers authored by T. H. Lee
This map shows the geographic impact of T. H. Lee'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 T. H. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. H. Lee more than expected).
Fields of papers citing papers by T. H. Lee
This network shows the impact of papers produced by T. H. Lee. 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 T. H. Lee. The network helps show where T. H. Lee may publish in the future.
Co-authorship network of co-authors of T. H. Lee
This figure shows the co-authorship network connecting the top 25 collaborators of T. H. Lee. A scholar is included among the top collaborators of T. H. Lee 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 T. H. Lee. T. H. Lee 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 | 11 | |
| 3 | 8 | |
| 4 | Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Functionbreakdown → | 871 |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 31 | |
| 8 | 1 | |
| 9 | 31 | |
| 10 | Controllability and reachability criteria for switched linear systemsbreakdown → | 344 |
| 11 | 187 | |
| 12 | 5 | |
| 13 | Nonlinear constraint handling technique via angular transformation | 1 |
| 14 | Exploratory multi-objective evolutionary algorithm: performance study and comparisons | 3 |
| 15 | 10 | |
| 16 | 42 | |
| 17 | 22 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 2 |
About T. H. Lee
T. H. Lee is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 70 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (19 papers), Adaptive Control of Nonlinear Systems (18 papers) and Iterative Learning Control Systems (15 papers). The work is most often cited by research in Control and Systems Engineering (2.4k citations), Computational Theory and Mathematics (736 citations) and Computer Networks and Communications (505 citations). T. H. Lee has collaborated with scholars based in Singapore, Canada and China. Frequent co-authors include Shuzhi Sam Ge, Beibei Ren, Keng Peng Tee, Kok Kiong Tan, Zhendong Sun, Sunan Huang, Hong Fan, Kay Chen Tan, E.F. Khor and Yi Zhang. Their work appears in journals such as Automatica, Industrial & Engineering Chemistry Research and AIChE Journal.
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.