Keng Peng Tee
- Control and Systems Engineering top 0.05%
- Computational Theory and Mathematics top 0.1%
- Computer Networks and Communications top 1%
- Biomedical Engineering top 5%
- Aerospace Engineering top 1%
- Co-authors
- Shuzhi Sam GeEng Hock TayBeibei RenT. H. LeeZhong-Liang TangWei HeTheodore E. MilnerEtienne Burdet
- Topics
- Robot Manipulation and Learning (31 papers)Adaptive Control of Nonlinear Systems (23 papers)Adaptive Dynamic Programming Control (13 papers)
- Cited by
- Control and Systems EngineeringComputational Theory and MathematicsComputer Networks and Communications
- Partner nations
- SingaporeChinaUnited Kingdom
In The Last Decade
Keng Peng Tee
94 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Control and Systems Engineering 6.4k
- Computational Theory and Mathematics 2.0k
- Computer Networks and Communications 1.3k
- Biomedical Engineering 910
- Aerospace Engineering 809
Countries citing papers authored by Keng Peng Tee
This map shows the geographic impact of Keng Peng Tee'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 Keng Peng Tee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keng Peng Tee more than expected).
Fields of papers citing papers by Keng Peng Tee
This network shows the impact of papers produced by Keng Peng Tee. 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 Keng Peng Tee. The network helps show where Keng Peng Tee may publish in the future.
Co-authorship network of co-authors of Keng Peng Tee
This figure shows the co-authorship network connecting the top 25 collaborators of Keng Peng Tee. A scholar is included among the top collaborators of Keng Peng Tee 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 Keng Peng Tee. Keng Peng Tee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 81 | |
| 4 | 113 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 89 | |
| 9 | 58 | |
| 10 | 3 | |
| 11 | Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Functionbreakdown → | 871 |
| 12 | 6 | |
| 13 | 80 | |
| 14 | 62 | |
| 15 | 243 | |
| 16 | 15 | |
| 17 | 107 | |
| 18 | 17 | |
| 19 | 125 | |
| 20 | 1 |
About Keng Peng Tee
Keng Peng Tee is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 96 papers that have together received 7.8k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (31 papers), Adaptive Control of Nonlinear Systems (23 papers) and Adaptive Dynamic Programming Control (13 papers). The work is most often cited by research in Control and Systems Engineering (6.4k citations), Computational Theory and Mathematics (2.0k citations) and Computer Networks and Communications (1.3k citations). Keng Peng Tee has collaborated with scholars based in Singapore, China and United Kingdom. Frequent co-authors include Shuzhi Sam Ge, Eng Hock Tay, Beibei Ren, T. H. Lee, Zhong-Liang Tang, Wei He, Theodore E. Milner, Etienne Burdet, Rui Yan and Francis E. H. Tay. Their work appears in journals such as Journal of Neuroscience, Automatica and IEEE Transactions on Biomedical Engineering.
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.