Mou Chen
Impact in
- Control and Systems Engineering top 0.02%
- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Advanced Control Systems Optimization
- Control and Dynamics of Mobile Robots
- Iterative Learning Control Systems
- Computational Theory and Mathematics top 0.1%
- Adaptive Dynamic Programming Control
Papers in
-
- Adaptive Control of Nonlinear Systems 262
- Stability and Control of Uncertain Systems 72
- Control and Dynamics of Mobile Robots 52
- Advanced Control Systems Optimization 37
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- Guidance and Control Systems 53
- Co-authors
- Shuzhi Sam Ge (9 shared papers)Qingxian Wu (85 shared papers)Shuyi Shao (44 shared papers)Beibei Ren (2 shared papers)Gang Tao (10 shared papers)Rongxin Cui (6 shared papers)Bernard Voon Ee How (3 shared papers)Peng Shi (17 shared papers)
- Journals
- IEEE Transactions on Cybernetics (14 papers)Neurocomputing (11 papers)Science China Information Sciences (9 papers)IEEE Transactions on Systems Man and Cybernetics Systems (9 papers)Applied Mathematics and Computation (8 papers)
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Mou Chen
341 papers receiving 12.2k citations
Mou Chen's Hit Papers
Peers
Comparison fields: 5 of 123
- Control and Systems Engineering 10.2k
- Computational Theory and Mathematics 2.8k
- Computer Networks and Communications 3.3k
- Aerospace Engineering 2.4k
- Ocean Engineering 770
Countries citing papers authored by Mou Chen
This map shows the geographic impact of Mou Chen'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 Mou Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mou Chen more than expected).
Fields of papers citing papers by Mou Chen
This network shows the impact of papers produced by Mou Chen. 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 Mou Chen. The network helps show where Mou Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mou Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 360 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints Hit paper breakdown → | 2011 | 920 |
| 2 | Robust Adaptive Neural Network Control for a Class of Uncertain MIMO Nonlinear Systems With Input Nonlinearities Hit paper breakdown → | 2010 | 644 |
| 3 | Extended State Observer-Based Integral Sliding Mode Control for an Underwater Robot With Unknown Disturbances and Uncertain Nonlinearities Hit paper breakdown → | 2017 | 477 |
| 4 | Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation Hit paper breakdown → | 2014 | 424 |
| 5 | Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer Hit paper breakdown → | 2015 | 411 |
| 6 | Adaptive Fault-Tolerant Tracking Control for Discrete-Time Multiagent Systems via Reinforcement Learning Algorithm Hit paper breakdown → | 2020 | 360 |
| 7 | Direct Adaptive Neural Control for a Class of Uncertain Nonaffine Nonlinear Systems Based on Disturbance Observer Hit paper breakdown → | 2012 | 352 |
| 8 | Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System Hit paper breakdown → | 2015 | 349 |
| 9 | Adaptive Fault-Tolerant Control of Uncertain Nonlinear Large-Scale Systems With Unknown Dead Zone Hit paper breakdown → | 2015 | 307 |
| 10 | 2012 | 250 | |
| 11 | Adaptive Neural Control of Uncertain Nonlinear Systems Using Disturbance Observer Hit paper breakdown → | 2017 | 242 |
| 12 | 2015 | 235 | |
| 13 | 2012 | 228 | |
| 14 | 2009 | 225 | |
| 15 | 2018 | 193 | |
| 16 | 2016 | 173 | |
| 17 | Adaptive Multigradient Recursive Reinforcement Learning Event-Triggered Tracking Control for Multiagent Systems Hit paper breakdown → | 2021 | 157 |
| 18 | 2019 | 137 | |
| 19 | 2020 | 137 | |
| 20 | 2020 | 119 |
About Mou Chen
Mou Chen is a scholar working on Control and Systems Engineering, Aerospace Engineering, Computer Networks and Communications, Computational Theory and Mathematics and Artificial Intelligence, having authored 360 papers that have together received 12.4k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (262 papers), Adaptive Dynamic Programming Control (80 papers), Distributed Control Multi-Agent Systems (75 papers), Stability and Control of Uncertain Systems (72 papers), Guidance and Control Systems (53 papers), Control and Dynamics of Mobile Robots (52 papers), Advanced Control Systems Optimization (37 papers) and Neural Networks Stability and Synchronization (34 papers). The work is most often cited by research in Control and Systems Engineering (10.2k citations), Computational Theory and Mathematics (2.8k citations), Computer Networks and Communications (3.3k citations), Aerospace Engineering (2.4k citations) and Ocean Engineering (770 citations). Mou Chen has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Shuzhi Sam Ge, Qingxian Wu, Shuyi Shao, Beibei Ren, Gang Tao, Rongxin Cui, Bernard Voon Ee How, Peng Shi, Ying Wu and Hongyi Li. Their work appears in journals such as IEEE Transactions on Cybernetics, Neurocomputing, Science China Information Sciences, IEEE Transactions on Systems Man and Cybernetics Systems and Applied Mathematics and Computation.
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.