Keng Peng Tee

9.8k total citations · 5 hit papers
96 papers, 7.8k citations indexed

About

Keng Peng Tee is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Keng Peng Tee has authored 96 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Control and Systems Engineering, 22 papers in Biomedical Engineering and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Keng Peng Tee's work include Robot Manipulation and Learning (31 papers), Adaptive Control of Nonlinear Systems (23 papers) and Adaptive Dynamic Programming Control (13 papers). Keng Peng Tee is often cited by papers focused on Robot Manipulation and Learning (31 papers), Adaptive Control of Nonlinear Systems (23 papers) and Adaptive Dynamic Programming Control (13 papers). Keng Peng Tee collaborates with scholars based in Singapore, China and United Kingdom. Keng Peng Tee's 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 and has published in prestigious journals such as Journal of Neuroscience, Automatica and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Keng Peng Tee

94 papers receiving 7.7k citations

Hit Papers

Barrier Lyapunov Functions for the control of output-cons... 2006 2026 2012 2019 2009 2010 2011 2011 2006 500 1000 1.5k 2.0k

Peers

Keng Peng Tee
J.-J.E. Slotine United States
Chaoxu Mu China
P.J. Gawthrop United Kingdom
Warren E. Dixon United States
Keng Peng Tee
Citations per year, relative to Keng Peng Tee Keng Peng Tee (= 1×) peers Yongping Pan

Countries citing papers authored by Keng Peng Tee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Tee, Keng Peng, et al.. (2022). A framework for tool cognition in robots without prior tool learning or observation. Nature Machine Intelligence. 4(6). 533–543. 7 indexed citations
3.
Liu, Qiong, et al.. (2021). Adaptive bias RBF neural network control for a robotic manipulator. Neurocomputing. 447. 213–223. 81 indexed citations
4.
Li, Dongyu, Haoyong Yu, Keng Peng Tee, et al.. (2021). On Time-Synchronized Stability and Control. IEEE Transactions on Systems Man and Cybernetics Systems. 52(4). 2450–2463. 113 indexed citations
5.
Campolo, Domenico, et al.. (2021). GloCAL: Glocalized Curriculum-Aided Learning of Multiple Tasks with Application to Robotic Grasping. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 15. 7089–7096. 1 indexed citations
6.
Liu, Qiong, et al.. (2020). A Simpler Adaptive Neural Network Tracking Control of Robot Manipulators by Output Feedback. 19. 96–100. 3 indexed citations
7.
Yan, Rui, et al.. (2015). Continuous Foraging and Information Gathering in a Multi-Agent Team. Adaptive Agents and Multi-Agents Systems. 1325–1333. 6 indexed citations
8.
Robinson, Neethu, A. P. Vinod, Kai Keng Ang, Keng Peng Tee, & Cuntai Guan. (2013). EEG-Based Classification of Fast and Slow Hand Movements Using Wavelet-CSP Algorithm. IEEE Transactions on Biomedical Engineering. 60(8). 2123–2132. 89 indexed citations
9.
Robinson, Neethu, Cuntai Guan, A. P. Vinod, Kai Keng Ang, & Keng Peng Tee. (2013). Multi-class EEG classification of voluntary hand movement directions. Journal of Neural Engineering. 10(5). 56018–56018. 58 indexed citations
10.
Tee, Keng Peng, et al.. (2012). Intuitive interaction for robotic grasping. National University of Singapore. 105–111. 3 indexed citations
11.
Ren, Beibei, Shuzhi Sam Ge, Keng Peng Tee, & T. H. Lee. (2010). Adaptive Neural Control for Output Feedback Nonlinear Systems Using a Barrier Lyapunov Function. IEEE Transactions on Neural Networks. 21(8). 1339–1345. 871 indexed citations breakdown →
12.
Tee, Keng Peng, et al.. (2010). Human-robot motion synchronization using reactive and predictive controllers. 223–228. 6 indexed citations
13.
Tee, Keng Peng, David W. Franklin, Mitsuo Kawato, Theodore E. Milner, & Etienne Burdet. (2009). Concurrent adaptation of force and impedance in the redundant muscle system. Biological Cybernetics. 102(1). 31–44. 80 indexed citations
14.
Zhang, Haihong, Cuntai Guan, Chuanchu Wang, et al.. (2009). Learning EEG-based spectral-spatial patterns for attention level measurement. 1465–1468. 62 indexed citations
15.
Franklin, David W., Etienne Burdet, Keng Peng Tee, et al.. (2008). CNS Learns Stable, Accurate, and Efficient Movements Using a Simple Algorithm. Journal of Neuroscience. 28(44). 11165–11173. 243 indexed citations
16.
Ge, Shuzhi Sam, Beibei Ren, & Keng Peng Tee. (2006). Adaptive Neural Network Control of Helicopters with Unknown Dynamics. 14. 3022–3027. 15 indexed citations
17.
Burdet, Etienne, Keng Peng Tee, Iven Mareels, et al.. (2005). Stability and motor adaptation in human arm movements. Biological Cybernetics. 94(1). 20–32. 107 indexed citations
18.
Burdet, Etienne, David W. Franklin, Rieko Osu, et al.. (2005). How are internal models of unstable tasks formed?. PubMed. 4. 4491–4494. 17 indexed citations
19.
Tee, Keng Peng, Etienne Burdet, Chee–Meng Chew, & Theodore E. Milner. (2004). A model of force and impedance in human arm movements. Biological Cybernetics. 90(5). 368–375. 125 indexed citations
20.
Tee, Keng Peng, Etienne Burdet, Chee–Meng Chew, & Theodore E. Milner. (2003). Investigating motor adaptation to stable and unstable tasks using haptic interfaces, EMG and fMRI. Society of Instrument and Control Engineers of Japan. 2003. 29–29. 1 indexed citations

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.

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