Shumin Lu
Impact in
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- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Optimization
- Iterative Learning Control Systems
- Stability and Control of Uncertain Systems
- Control and Dynamics of Mobile Robots
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- Adaptive Dynamic Programming Control
Papers in
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- Adaptive Control of Nonlinear Systems 13
- Iterative Learning Control Systems 4
- Advanced Control Systems Optimization 4
- Advanced Control Systems Design 1
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- Adaptive Dynamic Programming Control 9
- Co-authors
- Yan‐Jun Liu (5 shared papers)Shaocheng Tong (3 shared papers)Dong‐Juan Li (5 shared papers)C L Philip Chen (1 shared paper)Xinkai Chen (1 shared paper)Dapeng Li (2 shared papers)Yan‐Jun Liu (2 shared papers)Lei Liu (1 shared paper)
In The Last Decade
Shumin Lu
13 papers receiving 1.2k citations
Shumin Lu's Hit Papers
Peers
Comparison fields: 5 of 51
- Control and Systems Engineering 1.0k
- Computational Theory and Mathematics 450
- Computer Networks and Communications 292
- Artificial Intelligence 119
- Aerospace Engineering 77
Countries citing papers authored by Shumin Lu
This map shows the geographic impact of Shumin Lu'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 Shumin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shumin Lu more than expected).
Fields of papers citing papers by Shumin Lu
This network shows the impact of papers produced by Shumin Lu. 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 Shumin Lu. The network helps show where Shumin Lu may publish in the future.
Co-authors
The 15 scholars most cited alongside Shumin Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Adaptive control-based Barrier Lyapunov Functions for a class of stochastic nonlinear systems with full state constraints Hit paper breakdown → | 2017 | 577 |
| 2 | 2016 | 243 | |
| 3 | 2016 | 161 | |
| 4 | 2017 | 60 | |
| 5 | 2017 | 55 | |
| 6 | 2019 | 25 | |
| 7 | 2017 | 17 | |
| 8 | 2022 | 15 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 3 | |
| 11 | 2016 | 2 | |
| 12 | 2019 | 1 | |
| 13 | 2021 | 1 |
About Shumin Lu
Shumin Lu is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (13 papers), Adaptive Dynamic Programming Control (9 papers), Iterative Learning Control Systems (4 papers), Advanced Control Systems Optimization (4 papers), Distributed Control Multi-Agent Systems (2 papers), Chaos control and synchronization (1 paper), Advanced Control Systems Design (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Control and Systems Engineering (1.0k citations), Computational Theory and Mathematics (450 citations), Computer Networks and Communications (292 citations), Artificial Intelligence (119 citations) and Aerospace Engineering (77 citations). Shumin Lu has collaborated with scholars based in China, Japan and Macao. Frequent co-authors include Yan‐Jun Liu, Shaocheng Tong, Dong‐Juan Li, C L Philip Chen, Xinkai Chen, Dapeng Li, Yan‐Jun Liu, Lei Liu, Shuyi Shao and Mou Chen. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Systems, Applied Mathematics and Computation, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Cybernetics.
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.