Long Wang
Impact in
- Biomedical Engineering top 5%
- Soft Robotics and Applications
- Advanced Surface Polishing Techniques
- Advanced Sensor and Energy Harvesting Materials
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- Robot Manipulation and Learning
Papers in ⓘ
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- Robot Manipulation and Learning 16
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- Soft Robotics and Applications 25
- Muscle activation and electromyography studies 4
- Co-authors
- Nabil Simaan (19 shared papers)Andrea Bajo (2 shared papers)Dennis Fowler (2 shared papers)Roger E. Goldman (1 shared paper)Christoph Meinel (2 shared papers)Russell H. Taylor (4 shared papers)Howie Choset (3 shared papers)Peter K. Allen (2 shared papers)
- Journals
- Journal of Mechanisms and Robotics (4 papers)Cancer Research (2 papers)IEEE Transactions on Robotics (2 papers)IEEE Robotics and Automation Letters (2 papers)Cancer Management and Research (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Long Wang
54 papers receiving 738 citations
Peers
Comparison fields: 5 of 95
- Biomedical Engineering 553
- Control and Systems Engineering 277
- Condensed Matter Physics 63
- Computer Vision and Pattern Recognition 91
- Mechanical Engineering 151
Countries citing papers authored by Long Wang
This map shows the geographic impact of Long Wang'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 Long Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Wang more than expected).
Fields of papers citing papers by Long Wang
This network shows the impact of papers produced by Long Wang. 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 Long Wang. The network helps show where Long Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Wang, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 81 | |
| 2 | 2016 | 75 | |
| 3 | 2020 | 56 | |
| 4 | 2011 | 48 | |
| 5 | 2019 | 43 | |
| 6 | 2024 | 37 | |
| 7 | 2018 | 35 | |
| 8 | 2016 | 32 | |
| 9 | 2016 | 26 | |
| 10 | 2013 | 25 | |
| 11 | 2007 | 20 | |
| 12 | 2016 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2018 | 18 | |
| 15 | 2017 | 18 | |
| 16 | 2017 | 17 | |
| 17 | 2019 | 16 | |
| 18 | 2017 | 16 | |
| 19 | 2020 | 14 | |
| 20 | 2016 | 13 |
About Long Wang
Long Wang is a scholar working on Control and Systems Engineering, Biomedical Engineering, Computer Science Applications, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 63 papers that have together received 763 indexed citations. Recurring topics across this work include Soft Robotics and Applications (25 papers), Robot Manipulation and Learning (16 papers), Surgical Simulation and Training (7 papers), Teleoperation and Haptic Systems (5 papers), Radio Frequency Integrated Circuit Design (4 papers), Muscle activation and electromyography studies (4 papers), Lung Cancer Diagnosis and Treatment (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Biomedical Engineering (553 citations), Control and Systems Engineering (277 citations), Condensed Matter Physics (63 citations), Computer Vision and Pattern Recognition (91 citations) and Mechanical Engineering (151 citations). Long Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Nabil Simaan, Andrea Bajo, Dennis Fowler, Roger E. Goldman, Christoph Meinel, Russell H. Taylor, Howie Choset, Peter K. Allen, Jonathan Weisz and Joseph DelPreto. Their work appears in journals such as Journal of Mechanisms and Robotics, Cancer Research, IEEE Transactions on Robotics, IEEE Robotics and Automation Letters and Cancer Management and Research.
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.