Hang Su
Impact in
- Artificial Intelligence top 1%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
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- Advanced Neural Network Applications
- Face recognition and analysis
Papers in
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- Adversarial Robustness in Machine Learning 25
- Anomaly Detection Techniques and Applications 16
- Domain Adaptation and Few-Shot Learning 7
- Neural Networks and Reservoir Computing 4
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- Advanced Neural Network Applications 5
- Co-authors
- Jun Zhu (15 shared papers)Yinpeng Dong (9 shared papers)Tianyu Pang (7 shared papers)Zhifeng Li (1 shared paper)Tong Zhang (1 shared paper)Baoyuan Wu (1 shared paper)Wei Liu (1 shared paper)Yulong Wang (3 shared papers)
- Journals
- IEEE Transactions on Image Processing (2 papers)Computer Vision and Image Understanding (2 papers)International Journal of Biological Macromolecules (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Light Science & Applications (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hang Su
42 papers receiving 1.3k citations
Hang Su's Hit Papers
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 496
- Signal Processing 233
- Hardware and Architecture 93
- Health Informatics 7
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks Hit paper breakdown → | 2019 | 488 |
| 2 | 2019 | 255 | |
| 3 | 2020 | 133 | |
| 4 | 2019 | 75 | |
| 5 | 2018 | 51 | |
| 6 | 2020 | 40 | |
| 7 | 2023 | 39 | |
| 8 | 2021 | 31 | |
| 9 | 2021 | 30 | |
| 10 | 2024 | 29 | |
| 11 | Improving Black-box Adversarial Attacks with a Transfer-based Prior | 2019 | 24 |
| 12 | 2020 | 24 | |
| 13 | 2021 | 22 | |
| 14 | 2023 | 13 | |
| 15 | Boosting Adversarial Training with Hypersphere Embedding | 2020 | 12 |
| 16 | 2023 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2024 | 8 | |
| 20 | 2023 | 8 |
About Hang Su
Hang Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (25 papers), Anomaly Detection Techniques and Applications (16 papers), Domain Adaptation and Few-Shot Learning (7 papers), Advanced Neural Network Applications (5 papers), Orbital Angular Momentum in Optics (4 papers), Neural Networks and Reservoir Computing (4 papers), Advanced Malware Detection Techniques (3 papers) and Bacillus and Francisella bacterial research (3 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (496 citations), Signal Processing (233 citations), Hardware and Architecture (93 citations) and Health Informatics (7 citations). Hang Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jun Zhu, Yinpeng Dong, Tianyu Pang, Zhifeng Li, Tong Zhang, Baoyuan Wu, Wei Liu, Yulong Wang, Xiaolin Hu and Sha Yuan. Their work appears in journals such as IEEE Transactions on Image Processing, Computer Vision and Image Understanding, International Journal of Biological Macromolecules, IEEE Transactions on Visualization and Computer Graphics and Light Science & Applications.
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.