Liao Wu
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Biomedical Engineering top 5%
- Soft Robotics and Applications
- Advanced Sensor and Energy Harvesting Materials
Papers in
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- Soft Robotics and Applications 28
- Advanced Sensor and Energy Harvesting Materials 6
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- Robot Manipulation and Learning 16
- Robotic Mechanisms and Dynamics 10
- Co-authors
- Hongliang Ren (13 shared papers)Keyu Wu (8 shared papers)Ken Chen (5 shared papers)Xiangdong Yang (4 shared papers)Jonathan Roberts (12 shared papers)Ross Crawford (10 shared papers)Haoyong Yu (2 shared papers)Zheng Li (1 shared paper)
In The Last Decade
Liao Wu
58 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Control and Systems Engineering 588
- Biomedical Engineering 827
- Computer Vision and Pattern Recognition 274
- Mechanical Engineering 453
- Industrial and Manufacturing Engineering 71
Countries citing papers authored by Liao Wu
This map shows the geographic impact of Liao Wu'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 Liao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liao Wu more than expected).
Fields of papers citing papers by Liao Wu
This network shows the impact of papers produced by Liao Wu. 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 Liao Wu. The network helps show where Liao Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Liao Wu, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 134 | |
| 2 | 2013 | 128 | |
| 3 | 2023 | 94 | |
| 4 | 2014 | 93 | |
| 5 | 2016 | 89 | |
| 6 | 2016 | 77 | |
| 7 | 2016 | 58 | |
| 8 | 2016 | 57 | |
| 9 | 2017 | 54 | |
| 10 | 2019 | 46 | |
| 11 | 2023 | 45 | |
| 12 | 2016 | 40 | |
| 13 | 2014 | 37 | |
| 14 | 2017 | 31 | |
| 15 | 2017 | 30 | |
| 16 | 2023 | 28 | |
| 17 | 2023 | 27 | |
| 18 | 2021 | 26 | |
| 19 | 2019 | 26 | |
| 20 | 2015 | 22 |
About Liao Wu
Liao Wu is a scholar working on Biomedical Engineering, Control and Systems Engineering, Mechanical Engineering, Surgery and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Soft Robotics and Applications (28 papers), Robot Manipulation and Learning (16 papers), Robotic Mechanisms and Dynamics (10 papers), Teleoperation and Haptic Systems (7 papers), Surgical Simulation and Training (6 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Modular Robots and Swarm Intelligence (5 papers) and Advanced Measurement and Metrology Techniques (5 papers). The work is most often cited by research in Control and Systems Engineering (588 citations), Biomedical Engineering (827 citations), Computer Vision and Pattern Recognition (274 citations), Mechanical Engineering (453 citations) and Industrial and Manufacturing Engineering (71 citations). Liao Wu has collaborated with scholars based in Australia, China and Singapore. Frequent co-authors include Hongliang Ren, Keyu Wu, Ken Chen, Xiangdong Yang, Jonathan Roberts, Ross Crawford, Haoyong Yu, Zheng Li, Jinquan Li and Jiaole Wang. Their work appears in journals such as IEEE Access, IEEE/ASME Transactions on Mechatronics, IEEE Robotics and Automation Letters, ACS Applied Materials & Interfaces and Advanced Functional Materials.
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.