Bin He
Impact in
- Biomedical Engineering top 5%
- Advanced Sensor and Energy Harvesting Materials
- Soft Robotics and Applications
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- Robot Manipulation and Learning
Papers in
-
- Multimodal Machine Learning Applications 12
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- Robot Manipulation and Learning 23
- Co-authors
- Zhipeng WangGang LiYanmin ZhouRunjie ShenQigang WangHamza FahimShumaila JavaidJunpeng Fan
- Journals
- IEEE Robotics and Automation Letters (11 papers)IEEE Transactions on Automation Science and Engineering (9 papers)IEEE Transactions on Instrumentation and Measurement (7 papers)IEEE/ASME Transactions on Mechatronics (5 papers)IEEE Sensors Journal (5 papers)
- Partner nations
- ChinaUnited StatesUnited Arab Emirates
In The Last Decade
Bin He
186 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Biomedical Engineering 824
- Control and Systems Engineering 398
- Condensed Matter Physics 200
- Aerospace Engineering 397
- Industrial and Manufacturing Engineering 149
Countries citing papers authored by Bin He
This map shows the geographic impact of Bin He'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 Bin He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin He more than expected).
Fields of papers citing papers by Bin He
This network shows the impact of papers produced by Bin He. 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 Bin He. The network helps show where Bin He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bin He, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 31 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 54 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 8 |
About Bin He
Bin He is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Industrial and Manufacturing Engineering, Aerospace Engineering and Biomedical Engineering, having authored 213 papers that have together received 2.5k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (23 papers), Advanced Sensor and Energy Harvesting Materials (20 papers), Soft Robotics and Applications (14 papers), Robotics and Sensor-Based Localization (12 papers), Multimodal Machine Learning Applications (12 papers), Reinforcement Learning in Robotics (11 papers), Underwater Vehicles and Communication Systems (10 papers) and Dielectric materials and actuators (10 papers). The work is most often cited by research in Biomedical Engineering (824 citations), Control and Systems Engineering (398 citations), Condensed Matter Physics (200 citations), Aerospace Engineering (397 citations) and Industrial and Manufacturing Engineering (149 citations). Bin He has collaborated with scholars based in China, United States and United Arab Emirates. Frequent co-authors include Zhipeng Wang, Gang Li, Yanmin Zhou, Runjie Shen, Qigang Wang, Hamza Fahim, Shumaila Javaid, Junpeng Fan, Yongzhi Cheng and Nasir Saeed. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Instrumentation and Measurement, IEEE/ASME Transactions on Mechatronics and IEEE Sensors Journal.
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.