Ming Luo
Impact in
- Biomedical Engineering top 5%
- Soft Robotics and Applications
- Advanced Sensor and Energy Harvesting Materials
- Prosthetics and Rehabilitation Robotics
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
Papers in
-
- Soft Robotics and Applications 28
- Advanced Sensor and Energy Harvesting Materials 7
- Prosthetics and Rehabilitation Robotics 4
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- Modular Robots and Swarm Intelligence 10
- Teleoperation and Haptic Systems 5
- Co-authors
- Cagdas Denizel Onal (20 shared papers)Erik Howard Skorina (17 shared papers)Fu‐Chen Chen (12 shared papers)Weijia Tao (12 shared papers)Selim Özel (6 shared papers)Mahdi Agheli (2 shared papers)Yinan Sun (5 shared papers)Allison M. Okamura (6 shared papers)
- Journals
- IEEE Robotics and Automation Letters (4 papers)Soft Robotics (3 papers)Journal of Intelligent & Robotic Systems (1 paper)IEEE Transactions on Haptics (1 paper)Neural Networks (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Ming Luo
43 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 77
- Biomedical Engineering 899
- Condensed Matter Physics 220
- Mechanical Engineering 520
- Control and Systems Engineering 313
- Cognitive Neuroscience 131
Countries citing papers authored by Ming Luo
This map shows the geographic impact of Ming Luo'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 Ming Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Luo more than expected).
Fields of papers citing papers by Ming Luo
This network shows the impact of papers produced by Ming Luo. 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 Ming Luo. The network helps show where Ming Luo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Luo, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 121 | |
| 2 | 2014 | 115 | |
| 3 | 2010 | 85 | |
| 4 | 2018 | 68 | |
| 5 | 2015 | 64 | |
| 6 | 2015 | 61 | |
| 7 | 2016 | 55 | |
| 8 | 2017 | 49 | |
| 9 | 2014 | 45 | |
| 10 | 2021 | 43 | |
| 11 | 2017 | 43 | |
| 12 | 2018 | 42 | |
| 13 | 2020 | 41 | |
| 14 | 2019 | 41 | |
| 15 | 2022 | 40 | |
| 16 | 2009 | 36 | |
| 17 | 2018 | 32 | |
| 18 | 2020 | 26 | |
| 19 | 2019 | 21 | |
| 20 | 2018 | 19 |
About Ming Luo
Ming Luo is a scholar working on Biomedical Engineering, Mechanical Engineering, Condensed Matter Physics, Control and Systems Engineering and Cognitive Neuroscience, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Soft Robotics and Applications (28 papers), Modular Robots and Swarm Intelligence (10 papers), Robot Manipulation and Learning (10 papers), Micro and Nano Robotics (7 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Teleoperation and Haptic Systems (5 papers), Tactile and Sensory Interactions (4 papers) and Prosthetics and Rehabilitation Robotics (4 papers). The work is most often cited by research in Biomedical Engineering (899 citations), Condensed Matter Physics (220 citations), Mechanical Engineering (520 citations), Control and Systems Engineering (313 citations) and Cognitive Neuroscience (131 citations). Ming Luo has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Cagdas Denizel Onal, Erik Howard Skorina, Fu‐Chen Chen, Weijia Tao, Selim Özel, Mahdi Agheli, Yinan Sun, Allison M. Okamura, Jie Fu and Jianhua Peng. Their work appears in journals such as IEEE Robotics and Automation Letters, Soft Robotics, Journal of Intelligent & Robotic Systems, IEEE Transactions on Haptics and Neural Networks.
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.