Alvin Wan
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Data Classification
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 2
- Multimodal Machine Learning Applications 2
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- Domain Adaptation and Few-Shot Learning 4
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Joseph E. Gonzalez (7 shared papers)Bichen Wu (4 shared papers)Kurt Keutzer (2 shared papers)Xiaoliang Dai (3 shared papers)Peter Jin (1 shared paper)Sicheng Zhao (1 shared paper)Xiangyu Yue (1 shared paper)Amir Gholaminejad (1 shared paper)
- Journals
- npj Digital Medicine (1 paper)Investigative Ophthalmology & Visual Science (1 paper)Journal of the American College of Cardiology (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- United StatesIsraelHong Kong
In The Last Decade
Alvin Wan
10 papers receiving 532 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 371
- Artificial Intelligence 236
- Media Technology 45
- Computational Mathematics 3
- Signal Processing 37
Countries citing papers authored by Alvin Wan
This map shows the geographic impact of Alvin Wan'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 Alvin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alvin Wan more than expected).
Fields of papers citing papers by Alvin Wan
This network shows the impact of papers produced by Alvin Wan. 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 Alvin Wan. The network helps show where Alvin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Alvin Wan, 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 | 2018 | 221 | |
| 2 | 2020 | 173 | |
| 3 | 2021 | 55 | |
| 4 | 2021 | 51 | |
| 5 | 2023 | 33 | |
| 6 | NBDT: Neural-Backed Decision Tree | 2021 | 5 |
| 7 | 2021 | 3 | |
| 8 | 2023 | 3 | |
| 9 | Subjective Ratings of Comfort and Dryness vs. Clinical Evaluation of Lens Performance and Ocular Response to Silicone Hydrogel Lenses: Evidence From a Multi-Study Database | 2008 | 1 |
| 10 | 2004 | 1 | |
| 11 | 2025 | 0 |
About Alvin Wan
Alvin Wan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Surgery and Health Information Management, having authored 11 papers that have together received 546 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Adversarial Robustness in Machine Learning (2 papers), Coronary Interventions and Diagnostics (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Ophthalmology and Visual Impairment Studies (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (371 citations), Artificial Intelligence (236 citations), Media Technology (45 citations), Computational Mathematics (3 citations) and Signal Processing (37 citations). Alvin Wan has collaborated with scholars based in United States, Israel and Hong Kong. Frequent co-authors include Joseph E. Gonzalez, Bichen Wu, Kurt Keutzer, Xiaoliang Dai, Peter Jin, Sicheng Zhao, Xiangyu Yue, Amir Gholaminejad, Péter Vajda and Peizhao Zhang. Their work appears in journals such as npj Digital Medicine, Investigative Ophthalmology & Visual Science, Journal of the American College of Cardiology and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.