Shuhao Cui
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Anomaly Detection Techniques and Applications
Papers in
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- Domain Adaptation and Few-Shot Learning 5
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- Multimodal Machine Learning Applications 4
- Human Pose and Action Recognition 2
- Advanced Image Processing Techniques 1
- Image Enhancement Techniques 1
- Co-authors
- Qingming Huang (5 shared papers)Shuhui Wang (6 shared papers)Junbao Zhuo (6 shared papers)Qi Tian (2 shared papers)Liang Li (1 shared paper)Chi Su (1 shared paper)Xiaoming Wei (2 shared papers)Xiaolin Wei (2 shared papers)
- Journals
- Microchemical Journal (1 paper)Plants (1 paper)Proceedings of the 30th ACM International Conference on Multimedia (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaSwedenUnited States
In The Last Decade
Shuhao Cui
7 papers receiving 499 citations
Shuhao Cui's Hit Papers
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 280
- Artificial Intelligence 391
- Media Technology 30
- Cancer Research 41
- Radiology, Nuclear Medicine and Imaging 52
Countries citing papers authored by Shuhao Cui
This map shows the geographic impact of Shuhao Cui'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 Shuhao Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuhao Cui more than expected).
Fields of papers citing papers by Shuhao Cui
This network shows the impact of papers produced by Shuhao Cui. 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 Shuhao Cui. The network helps show where Shuhao Cui may publish in the future.
Co-authors
The 20 scholars most cited alongside Shuhao Cui, 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 | Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations Hit paper breakdown → | 2020 | 271 |
| 2 | 2020 | 190 | |
| 3 | 2019 | 23 | |
| 4 | 2022 | 8 | |
| 5 | 2023 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 | |
| 10 | 2023 | 0 |
About Shuhao Cui
Shuhao Cui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Infectious Diseases, Computer Networks and Communications and Bioengineering, having authored 10 papers that have together received 501 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (2 papers), Analytical Chemistry and Sensors (1 paper), Advanced Image Processing Techniques (1 paper), Image Enhancement Techniques (1 paper), Viral Infections and Outbreaks Research (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (280 citations), Artificial Intelligence (391 citations), Media Technology (30 citations), Cancer Research (41 citations) and Radiology, Nuclear Medicine and Imaging (52 citations). Shuhao Cui has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Qingming Huang, Shuhui Wang, Junbao Zhuo, Qi Tian, Liang Li, Chi Su, Xiaoming Wei, Xiaolin Wei, Yan Zhu and Jiaqi Zhang. Their work appears in journals such as Microchemical Journal, Plants, Proceedings of the 30th ACM International Conference on Multimedia and Proceedings of the AAAI Conference on Artificial Intelligence.
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.