Hao Su
- Geology top 0.02%
- Computational Mechanics top 0.1%
- 3D Shape Modeling and Analysis 8
- Environmental Engineering top 0.5%
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- Soft Robotics and Applications 32
- Prosthetics and Rehabilitation Robotics 26
- Muscle activation and electromyography studies 17
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- Stroke Rehabilitation and Recovery 15
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- Surgical Simulation and Training 10
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- Micro and Nano Robotics 7
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- Advanced MRI Techniques and Applications 6
- Co-authors
- Leonidas GuibasKaichun MoGregory S. FischerTzu-Hao HuangLi YiVladimir G. KimCewu LuDuygu Ceylan
- Journals
- IEEE/ASME Transactions on Mechatronics (7 papers)ACM Transactions on Graphics (6 papers)Annals of Biomedical Engineering (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Hao Su
92 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Geology 2.6k
- Computer Graphics and Computer-Aided Design 1.4k
- Computer Vision and Pattern Recognition 4.0k
- Computational Mechanics 3.7k
- Environmental Engineering 1.8k
Countries citing papers authored by Hao Su
This map shows the geographic impact of Hao Su'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 Hao Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Su more than expected).
Fields of papers citing papers by Hao Su
This network shows the impact of papers produced by Hao Su. 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 Hao Su. The network helps show where Hao Su may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hao Su, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 10 | |
| 6 | 2023 | 41 | |
| 7 | 2023 | 38 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 14 | |
| 11 | 2022 | 19 | |
| 12 | 2022 | 54 | |
| 13 | 2021 | 23 | |
| 14 | 2021 | 47 | |
| 15 | 2021 | 33 | |
| 16 | 2019 | 77 | |
| 17 | 2019 | 68 | |
| 18 | 2017 | 184 | |
| 19 | A scalable active framework for region annotation in 3D shape collectionsbreakdown → | 2016 | 724 |
| 20 | Efficient Euclidean Projections onto the Intersection of Norm Balls | 2012 | 3 |
About Hao Su
Hao Su is a scholar working on Rehabilitation, Health Informatics, Computer Graphics and Computer-Aided Design, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 9.9k indexed citations. Recurring topics across this work include Soft Robotics and Applications (32 papers), Prosthetics and Rehabilitation Robotics (26 papers), Muscle activation and electromyography studies (17 papers), Stroke Rehabilitation and Recovery (15 papers), Surgical Simulation and Training (10 papers), 3D Shape Modeling and Analysis (8 papers), Micro and Nano Robotics (7 papers) and Advanced MRI Techniques and Applications (6 papers). The work is most often cited by research in Geology (2.6k citations), Computer Graphics and Computer-Aided Design (1.4k citations), Computer Vision and Pattern Recognition (4.0k citations), Computational Mechanics (3.7k citations) and Environmental Engineering (1.8k citations). Hao Su has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Leonidas Guibas, Kaichun Mo, Gregory S. Fischer, Tzu-Hao Huang, Li Yi, Vladimir G. Kim, Cewu Lu, Duygu Ceylan, Qixing Huang and Alla Sheffer. Their work appears in journals such as IEEE/ASME Transactions on Mechatronics, ACM Transactions on Graphics, Annals of Biomedical Engineering, IEEE Robotics and Automation Letters and Science Advances.
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.