Gabriel Dawei Yang
Impact in
- Ophthalmology top 1%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Retinal Diseases and Treatments 18
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- Retinal Imaging and Analysis 16
- Co-authors
- Dan Cao (14 shared papers)Liang Zhang (11 shared papers)Yunkao Zeng (10 shared papers)Yunyan Hu (7 shared papers)Honghua Yu (9 shared papers)Ziqi Tang (8 shared papers)Zihan Sun (3 shared papers)Carol Yim-lui Cheung (3 shared papers)
In The Last Decade
Gabriel Dawei Yang
54 papers receiving 1.7k citations
Gabriel Dawei Yang's Hit Papers
Peers
Comparison fields: 5 of 66
- Ophthalmology 582
- Health Informatics 82
- Radiology, Nuclear Medicine and Imaging 357
- Computer Vision and Pattern Recognition 78
- Cancer Research 25
Countries citing papers authored by Gabriel Dawei Yang
This map shows the geographic impact of Gabriel Dawei Yang'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 Gabriel Dawei Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Dawei Yang more than expected).
Fields of papers citing papers by Gabriel Dawei Yang
This network shows the impact of papers produced by Gabriel Dawei Yang. 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 Gabriel Dawei Yang. The network helps show where Gabriel Dawei Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriel Dawei Yang, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A deep learning system for predicting time to progression of diabetic retinopathy Hit paper breakdown → | 2024 | 200 |
| 2 | 2018 | 154 | |
| 3 | 2020 | 149 | |
| 4 | 2024 | 149 | |
| 5 | 2019 | 124 | |
| 6 | DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images Hit paper breakdown → | 2024 | 63 |
| 7 | 2018 | 56 | |
| 8 | 2021 | 54 | |
| 9 | 2019 | 53 | |
| 10 | 2021 | 45 | |
| 11 | 2020 | 44 | |
| 12 | 2020 | 39 | |
| 13 | 2022 | 38 | |
| 14 | 2021 | 37 | |
| 15 | 2021 | 33 | |
| 16 | 2020 | 31 | |
| 17 | 2023 | 30 | |
| 18 | 2023 | 28 | |
| 19 | 2019 | 25 | |
| 20 | 2023 | 25 |
About Gabriel Dawei Yang
Gabriel Dawei Yang is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Rheumatology, Health Informatics and Nephrology, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (18 papers), Retinal Imaging and Analysis (16 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Privacy-Preserving Technologies in Data (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), Mitochondrial Function and Pathology (1 paper), Alzheimer's disease research and treatments (1 paper) and Titanium Alloys Microstructure and Properties (1 paper). The work is most often cited by research in Ophthalmology (582 citations), Health Informatics (82 citations), Radiology, Nuclear Medicine and Imaging (357 citations), Computer Vision and Pattern Recognition (78 citations) and Cancer Research (25 citations). Gabriel Dawei Yang has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Dan Cao, Liang Zhang, Yunkao Zeng, Yunyan Hu, Honghua Yu, Ziqi Tang, Zihan Sun, Carol Yim-lui Cheung, Danny Siu‐Chun Ng and Xuenan Zhuang. Their work appears in journals such as British Journal of Ophthalmology, Diabetes Care, Nature Medicine, Acta Diabetologica 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.