Genliang Chen
Impact in
-
- Robotic Mechanisms and Dynamics
- Robot Manipulation and Learning
- Piezoelectric Actuators and Control
- Iterative Learning Control Systems
- Mechanical Engineering top 5%
- Advanced Measurement and Metrology Techniques
- Advanced Materials and Mechanics
- Modular Robots and Swarm Intelligence
Papers in
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- Robotic Mechanisms and Dynamics 43
- Robot Manipulation and Learning 20
- Piezoelectric Actuators and Control 15
- Iterative Learning Control Systems 8
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- Soft Robotics and Applications 35
- Advanced Sensor and Energy Harvesting Materials 11
Genliang Chen
75 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 59
- Control and Systems Engineering 829
- Mechanical Engineering 579
- Biomedical Engineering 583
- Industrial and Manufacturing Engineering 109
- Civil and Structural Engineering 113
Countries citing papers authored by Genliang Chen
This map shows the geographic impact of Genliang 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 Genliang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genliang Chen more than expected).
Fields of papers citing papers by Genliang Chen
This network shows the impact of papers produced by Genliang 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 Genliang Chen. The network helps show where Genliang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Genliang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 11 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 11 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 0 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 1 | |
| 16 | 2023 | 5 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 54 | |
| 19 | 2020 | 13 | |
| 20 | 2013 | 4 |
About Genliang Chen
Genliang Chen is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Geology and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (43 papers), Soft Robotics and Applications (35 papers), Robot Manipulation and Learning (20 papers), Piezoelectric Actuators and Control (15 papers), Advanced Measurement and Metrology Techniques (13 papers), Advanced Sensor and Energy Harvesting Materials (11 papers), Advanced Materials and Mechanics (9 papers) and Iterative Learning Control Systems (8 papers). The work is most often cited by research in Control and Systems Engineering (829 citations), Mechanical Engineering (579 citations), Biomedical Engineering (583 citations), Industrial and Manufacturing Engineering (109 citations) and Civil and Structural Engineering (113 citations). Genliang Chen has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Hao Wang, Zhongqin Lin, Zhuang Zhang, Hao Wang, Lingyu Kong, Qinchuan Li, Hao Wang, Xinmin Lai, Hanqing Jiang and Jue Wang. Their work appears in journals such as Mechanism and Machine Theory, Journal of Mechanisms and Robotics, IEEE Transactions on Robotics, Robotica and Journal of Mechanical Design.
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.