Derek Wu
Impact in
- Health Informatics top 0.05%
- Artificial Intelligence in Healthcare and Education
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- Retinal Imaging and Analysis
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Ultrasound in Clinical Applications 12
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- Artificial Intelligence in Healthcare and Education 3
- Co-authors
- Lily H. Peng (4 shared papers)Dale R. Webster (4 shared papers)Rajiv Raman (2 shared papers)Marc Coram (2 shared papers)Kasumi Widner (2 shared papers)Arunachalam Narayanaswamy (3 shared papers)Kim Ramasamy (2 shared papers)Varun Gulshan (2 shared papers)
- Journals
- Ophthalmology (1 paper)JAMA (1 paper)BMJ Open (1 paper)Alzheimer s & Dementia (1 paper)JAMA Ophthalmology (1 paper)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Derek Wu
20 papers receiving 6k citations
Derek Wu's Hit Papers
Peers
Comparison fields: 5 of 152
- Health Informatics 1.3k
- Radiology, Nuclear Medicine and Imaging 2.8k
- Health Information Management 460
- Ophthalmology 358
- Artificial Intelligence 1.2k
Countries citing papers authored by Derek Wu
This map shows the geographic impact of Derek Wu'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 Derek Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek Wu more than expected).
Fields of papers citing papers by Derek Wu
This network shows the impact of papers produced by Derek Wu. 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 Derek Wu. The network helps show where Derek Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Derek Wu, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs Hit paper breakdown → | 2016 | 5571 |
| 2 | Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy Hit paper breakdown → | 2018 | 311 |
| 3 | 2019 | 216 | |
| 4 | 2021 | 72 | |
| 5 | 2009 | 37 | |
| 6 | 2021 | 28 | |
| 7 | 2022 | 26 | |
| 8 | 2024 | 14 | |
| 9 | 2024 | 11 | |
| 10 | 2017 | 10 | |
| 11 | 2019 | 10 | |
| 12 | 2023 | 7 | |
| 13 | 2024 | 6 | |
| 14 | 2018 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 3 | |
| 17 | Assisted reads for diabetic retinopathy using a deep learning algorithm and integrated gradient explanation | 2018 | 2 |
| 18 | 2008 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 1 |
About Derek Wu
Derek Wu is a scholar working on Critical Care and Intensive Care Medicine, Health Informatics, Radiology, Nuclear Medicine and Imaging, Endocrine and Autonomic Systems and Pharmacy, having authored 22 papers that have together received 6.3k indexed citations. Recurring topics across this work include Ultrasound in Clinical Applications (12 papers), Retinal Imaging and Analysis (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Regulation of Appetite and Obesity (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Radiopharmaceutical Chemistry and Applications (1 paper), Apelin-related biomedical research (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Health Informatics (1.3k citations), Radiology, Nuclear Medicine and Imaging (2.8k citations), Health Information Management (460 citations), Ophthalmology (358 citations) and Artificial Intelligence (1.2k citations). Derek Wu has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Lily H. Peng, Dale R. Webster, Rajiv Raman, Marc Coram, Kasumi Widner, Arunachalam Narayanaswamy, Kim Ramasamy, Varun Gulshan, Martin C. Stumpe and Jessica L. Mega. Their work appears in journals such as Ophthalmology, JAMA, BMJ Open, Alzheimer s & Dementia and JAMA Ophthalmology.
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.