Lu Ren
Impact in
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- Iterative Learning Control Systems
- Robotic Mechanisms and Dynamics
- Adaptive Control of Nonlinear Systems
- Piezoelectric Actuators and Control
- Robot Manipulation and Learning
Papers in
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- Iterative Learning Control Systems 10
- Robotic Mechanisms and Dynamics 8
- Adaptive Control of Nonlinear Systems 7
- Piezoelectric Actuators and Control 7
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- Soft Robotics and Applications 7
- Co-authors
- James K. Mills (17 shared papers)Dong Sun (12 shared papers)Yuxin Su (2 shared papers)Changyin Sun (15 shared papers)Lidai Wang (5 shared papers)William L. Cleghorn (3 shared papers)Xiang Cao (4 shared papers)Yuying Yan (2 shared papers)
In The Last Decade
Lu Ren
53 papers receiving 661 citations
Peers
Comparison fields: 5 of 64
- Control and Systems Engineering 425
- Computer Vision and Pattern Recognition 88
- Media Technology 36
- Biomedical Engineering 162
- Mechanical Engineering 134
Countries citing papers authored by Lu Ren
This map shows the geographic impact of Lu Ren'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 Lu Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Ren more than expected).
Fields of papers citing papers by Lu Ren
This network shows the impact of papers produced by Lu Ren. 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 Lu Ren. The network helps show where Lu Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Ren, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 135 | |
| 2 | 2007 | 56 | |
| 3 | 2006 | 56 | |
| 4 | 2022 | 53 | |
| 5 | 2008 | 42 | |
| 6 | 2008 | 37 | |
| 7 | 2005 | 33 | |
| 8 | 2010 | 31 | |
| 9 | 2007 | 26 | |
| 10 | 2006 | 23 | |
| 11 | 2008 | 18 | |
| 12 | 2007 | 16 | |
| 13 | 2006 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2019 | 10 | |
| 16 | 2004 | 10 | |
| 17 | 2006 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2006 | 8 | |
| 20 | 2017 | 7 |
About Lu Ren
Lu Ren is a scholar working on Control and Systems Engineering, Biomedical Engineering, Computer Networks and Communications, Aerospace Engineering and Computational Mechanics, having authored 59 papers that have together received 690 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (13 papers), Iterative Learning Control Systems (10 papers), Robotic Mechanisms and Dynamics (8 papers), Adaptive Control of Nonlinear Systems (7 papers), Piezoelectric Actuators and Control (7 papers), Neural Networks Stability and Synchronization (7 papers), Soft Robotics and Applications (7 papers) and Aerodynamics and Fluid Dynamics Research (5 papers). The work is most often cited by research in Control and Systems Engineering (425 citations), Computer Vision and Pattern Recognition (88 citations), Media Technology (36 citations), Biomedical Engineering (162 citations) and Mechanical Engineering (134 citations). Lu Ren has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include James K. Mills, Dong Sun, Yuxin Su, Changyin Sun, Lidai Wang, William L. Cleghorn, Xiang Cao, Yuying Yan, Y. Q. Zu and Nikolai Dechev. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Cybernetics, IEEE Transactions on Control Systems Technology, IEEE Transactions on Intelligent Vehicles and Chaos Solitons & Fractals.
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.