Hang Su
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 0.5%
- Metaheuristic Optimization Algorithms Research
- Domain Adaptation and Few-Shot Learning
- Privacy-Preserving Technologies in Data
- Topic Modeling
Papers in
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- Adversarial Robustness in Machine Learning 17
- Domain Adaptation and Few-Shot Learning 14
- Anomaly Detection Techniques and Applications 10
- Reinforcement Learning in Robotics 8
- Topic Modeling 7
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- Video Surveillance and Tracking Methods 11
- Multimodal Machine Learning Applications 10
- Advanced Neural Network Applications 8
- Co-authors
- Jun Zhu (26 shared papers)Huiling Chen (5 shared papers)Ali Asghar Heidari (5 shared papers)Majdi Mafarja (2 shared papers)Liyuan Wang (3 shared papers)Dong Zhao (3 shared papers)Xiaoqin Zhang (1 shared paper)Lei Liu (1 shared paper)
- Journals
- Journal of Visual Communication and Image Representation (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)Neurocomputing (3 papers)International Journal of Computer Vision (2 papers)Pattern Recognition Letters (2 papers)
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Hang Su
86 papers receiving 3.3k citations
Hang Su's Hit Papers
Peers
Comparison fields: 5 of 163
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 1.7k
- Signal Processing 235
- Computer Graphics and Computer-Aided Design 57
- Health Informatics 19
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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RIME: A physics-based optimization Hit paper breakdown → | 2023 | 666 |
| 2 | Grounding DINO: Marrying DINO with Grounded Pre-training for Open-Set Object Detection Hit paper breakdown → | 2024 | 639 |
| 3 | A Comprehensive Survey of Continual Learning: Theory, Method and Application Hit paper breakdown → | 2024 | 356 |
| 4 | 2012 | 245 | |
| 5 | User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization Hit paper breakdown → | 2021 | 200 |
| 6 | 2012 | 152 | |
| 7 | Toward the third generation artificial intelligence Hit paper breakdown → | 2023 | 114 |
| 8 | 2020 | 102 | |
| 9 | 2023 | 71 | |
| 10 | 2018 | 66 | |
| 11 | 2020 | 54 | |
| 12 | 2019 | 52 | |
| 13 | 2021 | 39 | |
| 14 | 2024 | 34 | |
| 15 | 2021 | 26 | |
| 16 | 2022 | 25 | |
| 17 | 2023 | 24 | |
| 18 | 2017 | 24 | |
| 19 | 2019 | 23 | |
| 20 | 2024 | 23 |
About Hang Su
Hang Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Media Technology and Biomedical Engineering, having authored 97 papers that have together received 3.4k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (17 papers), Domain Adaptation and Few-Shot Learning (14 papers), Video Surveillance and Tracking Methods (11 papers), Anomaly Detection Techniques and Applications (10 papers), Multimodal Machine Learning Applications (10 papers), Advanced Neural Network Applications (8 papers), Reinforcement Learning in Robotics (8 papers) and Topic Modeling (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Artificial Intelligence (1.7k citations), Signal Processing (235 citations), Computer Graphics and Computer-Aided Design (57 citations) and Health Informatics (19 citations). Hang Su has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Jun Zhu, Huiling Chen, Ali Asghar Heidari, Majdi Mafarja, Liyuan Wang, Dong Zhao, Xiaoqin Zhang, Lei Liu, Xingxing Zhang and Sen Wu. Their work appears in journals such as Journal of Visual Communication and Image Representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing, International Journal of Computer Vision and Pattern Recognition 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.