Hang Su
Impact in
- Geology top 0.1%
- 3D Surveying and Cultural Heritage
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- Computer Graphics and Visualization Techniques
Papers in
-
- Robot Manipulation and Learning 32
- Co-authors
- Subhransu Maji (2 shared papers)Evangelos Kalogerakis (2 shared papers)Erik Learned-Miller (4 shared papers)Wen Qi (40 shared papers)Elena De Momi (39 shared papers)Giancarlo Ferrigno (38 shared papers)Zhijun Li (18 shared papers)Yingbai Hu (23 shared papers)
- Journals
- Physical review. D (15 papers)Journal of Biological Chemistry (4 papers)Applied Sciences (4 papers)Assembly Automation (4 papers)Physical Review Letters (4 papers)
- Partner nations
- ChinaItalyUnited States
In The Last Decade
Hang Su
243 papers receiving 10.2k citations
Hang Su's Hit Papers
Peers
Comparison fields: 5 of 199
- Geology 1.4k
- Computer Graphics and Computer-Aided Design 575
- Computer Vision and Pattern Recognition 3.3k
- Computational Mechanics 2.0k
- Control and Systems Engineering 1.8k
Countries citing papers authored by Hang Su
This map shows the geographic impact of Hang 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 Hang Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Su more than expected).
Fields of papers citing papers by Hang Su
This network shows the impact of papers produced by Hang 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 Hang Su. The network helps show where Hang Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang 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
Showing the 20 most-cited of 266 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multi-view Convolutional Neural Networks for 3D Shape Recognition Hit paper breakdown → | 2015 | 2510 |
| 2 | SPLATNet: Sparse Lattice Networks for Point Cloud Processing Hit paper breakdown → | 2018 | 572 |
| 3 | KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition Hit paper breakdown → | 2013 | 338 |
| 4 | 2006 | 244 | |
| 5 | 2019 | 229 | |
| 6 | 2019 | 195 | |
| 7 | 2020 | 191 | |
| 8 | 2015 | 178 | |
| 9 | 2021 | 172 | |
| 10 | 2021 | 165 | |
| 11 | 2020 | 153 | |
| 12 | 2020 | 151 | |
| 13 | Biometrics recognition using deep learning: a survey Hit paper breakdown → | 2023 | 137 |
| 14 | 2020 | 132 | |
| 15 | Recent Advancements in Agriculture Robots: Benefits and Challenges Hit paper breakdown → | 2023 | 119 |
| 16 | 2022 | 115 | |
| 17 | 2013 | 113 | |
| 18 | 2020 | 107 | |
| 19 | 2022 | 106 | |
| 20 | 2003 | 104 |
About Hang Su
Hang Su is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering, Artificial Intelligence and Nuclear and High Energy Physics, having authored 266 papers that have together received 10.5k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (32 papers), Soft Robotics and Applications (30 papers), Muscle activation and electromyography studies (27 papers), Teleoperation and Haptic Systems (26 papers), Prosthetics and Rehabilitation Robotics (23 papers), Neutrino Physics Research (21 papers), Particle physics theoretical and experimental studies (18 papers) and Anomaly Detection Techniques and Applications (17 papers). The work is most often cited by research in Geology (1.4k citations), Computer Graphics and Computer-Aided Design (575 citations), Computer Vision and Pattern Recognition (3.3k citations), Computational Mechanics (2.0k citations) and Control and Systems Engineering (1.8k citations). Hang Su has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Subhransu Maji, Evangelos Kalogerakis, Erik Learned-Miller, Wen Qi, Elena De Momi, Giancarlo Ferrigno, Zhijun Li, Yingbai Hu, Chenguang Yang and Jan Kautz. Their work appears in journals such as Physical review. D, Journal of Biological Chemistry, Applied Sciences, Assembly Automation and Physical Review Letters.
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.