Serena Yeung
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education 5
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- Human Pose and Action Recognition 11
- Video Surveillance and Tracking Methods 5
- Multimodal Machine Learning Applications 5
- Advanced Vision and Imaging 5
- Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning 5
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- COVID-19 diagnosis using AI 4
- Human-Computer Interaction top 5%
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- Surgical Simulation and Training 4
- Co-authors
- Will Y. ZouQuoc V. LeAndrew Y. NgLi Fei-FeiShih-Cheng HuangMatthew P. LungrenAli MadaniNikhil Naik
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Serena Yeung
43 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Health Informatics 242
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 1.0k
- Radiology, Nuclear Medicine and Imaging 542
- Human-Computer Interaction 123
Countries citing papers authored by Serena Yeung
This map shows the geographic impact of Serena Yeung'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 Serena Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serena Yeung more than expected).
Fields of papers citing papers by Serena Yeung
This network shows the impact of papers produced by Serena Yeung. 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 Serena Yeung. The network helps show where Serena Yeung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Serena Yeung, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 9 | |
| 8 | Self-supervised learning for medical image classification: a systematic review and implementation guidelinesbreakdown → | 2023 | 174 |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 20 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 9 | |
| 15 | 2019 | 78 | |
| 16 | 3D Point Cloud-Based Visual Prediction of ICU Mobility Care Activities. | 2018 | 5 |
| 17 | Vision-Based Prediction of ICU Mobility Care Activities using Recurrent Neural Networks | 2017 | 3 |
| 18 | Towards Vision-Based Smart Hospitals: A System for Tracking and Monitoring Hand Hygiene Compliance | 2017 | 7 |
| 19 | Vision-Based Hand Hygiene Monitoring in Hospitals | 2016 | 6 |
| 20 | Viewpoint Invariant 3D Human Pose Estimation with Recurrent Error Feedback | 2016 | 5 |
About Serena Yeung
Serena Yeung is a scholar working on Health Informatics, General Dentistry and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 2.8k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (11 papers), Video Surveillance and Tracking Methods (5 papers), Multimodal Machine Learning Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Vision and Imaging (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), COVID-19 diagnosis using AI (4 papers) and Surgical Simulation and Training (4 papers). The work is most often cited by research in Health Informatics (242 citations), Computer Vision and Pattern Recognition (1.4k citations) and Artificial Intelligence (1.0k citations). Serena Yeung has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Will Y. Zou, Quoc V. Le, Andrew Y. Ng, Li Fei-Fei, Shih-Cheng Huang, Matthew P. Lungren, Ali Madani, Nikhil Naik, Jeff Dean and Katherine Chou. Their work appears in journals such as New England Journal of Medicine, JAMA and Nature Communications.
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.