Ke Lu
Impact in
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- Adaptive Control of Nonlinear Systems
- Control and Dynamics of Mobile Robots
- Stability and Control of Uncertain Systems
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- Distributed Control Multi-Agent Systems
Papers in
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- Adaptive Control of Nonlinear Systems 8
- Control and Dynamics of Mobile Robots 5
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- Distributed Control Multi-Agent Systems 7
- Co-authors
- Shi‐Lu Dai (8 shared papers)Xu Jin (5 shared papers)Jun Fu (1 shared paper)Mou Chen (1 shared paper)Pizhong Qiao (1 shared paper)Wahyu Lestari (1 shared paper)Jianjun Liang (1 shared paper)Qun Wang (1 shared paper)
- Journals
- IEEE Transactions on Cybernetics (2 papers)IEEE Transactions on Intelligent Transportation Systems (1 paper)Experimental Mechanics (1 paper)IEEE Transactions on Automatic Control (1 paper)IEEE Transactions on Control Systems Technology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ke Lu
14 papers receiving 302 citations
Peers
Comparison fields: 5 of 28
- Control and Systems Engineering 203
- Computer Networks and Communications 165
- Computer Vision and Pattern Recognition 67
- Computational Theory and Mathematics 40
- Aerospace Engineering 48
Countries citing papers authored by Ke Lu
This map shows the geographic impact of Ke 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 Ke Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Lu more than expected).
Fields of papers citing papers by Ke Lu
This network shows the impact of papers produced by Ke 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 Ke Lu. The network helps show where Ke Lu may publish in the future.
Co-authors
The 15 scholars most cited alongside Ke 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 | 2021 | 96 | |
| 2 | 2020 | 78 | |
| 3 | 2018 | 27 | |
| 4 | 2022 | 23 | |
| 5 | 2007 | 20 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 13 | |
| 9 | 2018 | 9 | |
| 10 | 2025 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2010 | 1 | |
| 14 | 2019 | 1 |
About Ke Lu
Ke Lu is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Civil and Structural Engineering and Aerospace Engineering, having authored 14 papers that have together received 304 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (8 papers), Distributed Control Multi-Agent Systems (7 papers), Control and Dynamics of Mobile Robots (5 papers), Structural Health Monitoring Techniques (2 papers), Robotic Path Planning Algorithms (2 papers), Guidance and Control Systems (2 papers), Optical measurement and interference techniques (1 paper) and Structural Integrity and Reliability Analysis (1 paper). The work is most often cited by research in Control and Systems Engineering (203 citations), Computer Networks and Communications (165 citations), Computer Vision and Pattern Recognition (67 citations), Computational Theory and Mathematics (40 citations) and Aerospace Engineering (48 citations). Ke Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shi‐Lu Dai, Xu Jin, Jun Fu, Mou Chen, Pizhong Qiao, Wahyu Lestari, Jianjun Liang, Qun Wang, Ziyou Song and Min Wang. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Intelligent Transportation Systems, Experimental Mechanics, IEEE Transactions on Automatic Control and IEEE Transactions on Control Systems Technology.
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.