Hao Su
Impact in
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- Computer Graphics and Visualization Techniques
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- Human Pose and Action Recognition
- Advanced Vision and Imaging
- Multimodal Machine Learning Applications
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 4
- Advanced Neural Network Applications 3
- Image Enhancement Techniques 3
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- Domain Adaptation and Few-Shot Learning 4
- Reinforcement Learning in Robotics 3
- Co-authors
- J K Yee (2 shared papers)Leonidas Guibas (3 shared papers)Yan Ji (2 shared papers)Chuang Gan (2 shared papers)Boqing Gong (1 shared paper)Charles R. Qi (1 shared paper)Sören Pirk (1 shared paper)Yangyan Li (1 shared paper)
- Journals
- Pharmacology (1 paper)Biotechnology and Bioengineering (1 paper)Frontiers in Cell and Developmental Biology (1 paper)Journal of Neurosurgery Spine (1 paper)Vacuum (1 paper)
- Partner nations
- ChinaUnited StatesDominican Republic
In The Last Decade
Hao Su
44 papers receiving 862 citations
Peers
Comparison fields: 5 of 119
- Computer Graphics and Computer-Aided Design 88
- Computer Vision and Pattern Recognition 291
- Geology 45
- Computational Mechanics 124
- Hepatology 36
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-authors
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
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 84 | |
| 2 | 2018 | 83 | |
| 3 | FPNN: Field Probing Neural Networks for 3D Data | 2016 | 77 |
| 4 | 2021 | 66 | |
| 5 | 2021 | 59 | |
| 6 | 2023 | 48 | |
| 7 | 2020 | 47 | |
| 8 | 2022 | 45 | |
| 9 | 2013 | 40 | |
| 10 | 2024 | 38 | |
| 11 | 2022 | 29 | |
| 12 | 2022 | 26 | |
| 13 | 2020 | 20 | |
| 14 | 2019 | 19 | |
| 15 | 2019 | 19 | |
| 16 | 2019 | 18 | |
| 17 | 2021 | 16 | |
| 18 | 2022 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2019 | 11 |
About Hao Su
Hao Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Surgery and Epidemiology, having authored 46 papers that have together received 878 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), 3D Shape Modeling and Analysis (4 papers), Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (4 papers), Reinforcement Learning in Robotics (3 papers), Advanced Neural Network Applications (3 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (88 citations), Computer Vision and Pattern Recognition (291 citations), Geology (45 citations), Computational Mechanics (124 citations) and Hepatology (36 citations). Hao Su has collaborated with scholars based in China, United States and Dominican Republic. Frequent co-authors include J K Yee, Leonidas Guibas, Yan Ji, Chuang Gan, Boqing Gong, Charles R. Qi, Sören Pirk, Yangyan Li, Anpei Chen and Kangyu Chen. Their work appears in journals such as Pharmacology, Biotechnology and Bioengineering, Frontiers in Cell and Developmental Biology, Journal of Neurosurgery Spine and Vacuum.
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.