Jun Sheng
- Biomedical Engineering top 5%
- Soft Robotics and Applications 15
- Advanced Sensor and Energy Harvesting Materials 4
- Mechanical Engineering top 10%
- Advanced Materials and Mechanics 3
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning 3
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- Shape Memory Alloy Transformations 6
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- Atrial Fibrillation Management and Outcomes 3
- Cardiac Arrhythmias and Treatments 3
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- Peripheral Nerve Disorders 2
- Co-authors
- Jaydev P. DesaiMichael C. YipRobert J. WoodJun ZhangCiaran O’NeillJee-Hwan RyuConor J. WalshPeihua Qiu
- Journals
- IEEE Robotics and Automation Letters (5 papers)IEEE Transactions on Robotics (2 papers)Smart Materials and Structures (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Jun Sheng
43 papers receiving 833 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Biomedical Engineering 538
- Structural Biology 12
- Condensed Matter Physics 61
- Mechanical Engineering 180
- Control and Systems Engineering 107
Countries citing papers authored by Jun Sheng
This map shows the geographic impact of Jun Sheng'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 Jun Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Sheng more than expected).
Fields of papers citing papers by Jun Sheng
This network shows the impact of papers produced by Jun Sheng. 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 Jun Sheng. The network helps show where Jun Sheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Sheng, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2020 | 1 | |
| 8 | Robotic Artificial Muscles: Current Progress and Future Perspectivesbreakdown → | 2019 | 299 |
| 9 | 2019 | 33 | |
| 10 | 2019 | 9 | |
| 11 | 2018 | 25 | |
| 12 | 2017 | 5 | |
| 13 | 2016 | 34 | |
| 14 | 2016 | 26 | |
| 15 | 2015 | 24 | |
| 16 | [Microstructural study on detrusor muscle after bladder functional reconstruction for atonic bladder caused by medullary cone injury in rats]. | 2013 | 1 |
| 17 | 2012 | 1 | |
| 18 | 2011 | 5 | |
| 19 | [Effects of feeding intervention on development of eczema in atopy high-risk infants: an 18-month follow-up study]. | 2006 | 4 |
| 20 | 1995 | 71 |
About Jun Sheng
Jun Sheng is a scholar working on Structural Biology, Biomedical Engineering and Statistics and Probability, having authored 47 papers that have together received 849 indexed citations. Recurring topics across this work include Soft Robotics and Applications (15 papers), Shape Memory Alloy Transformations (6 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Robot Manipulation and Learning (3 papers), Cardiac Arrhythmias and Treatments (3 papers), Advanced Materials and Mechanics (3 papers) and Peripheral Nerve Disorders (2 papers). The work is most often cited by research in Biomedical Engineering (538 citations), Structural Biology (12 citations) and Condensed Matter Physics (61 citations). Jun Sheng has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jaydev P. Desai, Michael C. Yip, Robert J. Wood, Jun Zhang, Ciaran O’Neill, Jee-Hwan Ryu, Conor J. Walsh, Peihua Qiu, Jianxun Mou and Wenhai Han. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, Smart Materials and Structures, International Journal of Biological Macromolecules and International Journal of Refractory Metals and Hard 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.