Michelle Yip
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 2%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
Papers in
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- Retinal Imaging and Analysis 7
- COVID-19 diagnosis using AI 1
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- Artificial Intelligence in Healthcare 3
- Co-authors
- Daniel Shu Wei Ting (8 shared papers)Gavin Siew Wei Tan (8 shared papers)Tien Yin Wong (8 shared papers)Yuchen Xie (6 shared papers)Quang D. Nguyen (6 shared papers)Valentina Bellemo (6 shared papers)Gilbert Lim (7 shared papers)Mong Li Lee (6 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (3 papers)The Lancet Digital Health (2 papers)npj Digital Medicine (1 paper)Asia-Pacific Journal of Ophthalmology (1 paper)JAMA Ophthalmology (1 paper)
- Partner nations
- SingaporeUnited KingdomChina
In The Last Decade
Michelle Yip
13 papers receiving 715 citations
Michelle Yip's Hit Papers
Peers
Comparison fields: 5 of 85
- Health Informatics 78
- Ophthalmology 291
- Radiology, Nuclear Medicine and Imaging 421
- General Decision Sciences 27
- Health Information Management 60
Countries citing papers authored by Michelle Yip
This map shows the geographic impact of Michelle Yip'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 Michelle Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Yip more than expected).
Fields of papers citing papers by Michelle Yip
This network shows the impact of papers produced by Michelle Yip. 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 Michelle Yip. The network helps show where Michelle Yip may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Yip, 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 | Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study Hit paper breakdown → | 2019 | 282 |
| 2 | 2020 | 213 | |
| 3 | 2022 | 57 | |
| 4 | 2023 | 53 | |
| 5 | 2006 | 42 | |
| 6 | 2020 | 34 | |
| 7 | 2021 | 20 | |
| 8 | 2024 | 14 | |
| 9 | Cost-Effectiveness Analysis of an Artificial Intelligence-Assisted Deep Learning System Implemented in the National Tele-Medicine Diabetic Retinopathy Screening in Singapore | 2019 | 9 |
| 10 | 2024 | 3 | |
| 11 | Effect of Image Compression and Number of Fields on a Deep Learning System for Detection of Diabetic Retinopathy | 2019 | 2 |
| 12 | The Application of Deep Learning System to Screen for Diabetic Retinopathy in an Underprivileged African Population with Diabetes | 2019 | 1 |
| 13 | 2022 | 1 |
About Michelle Yip
Michelle Yip is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Information Management, Ophthalmology, General Decision Sciences and Neurology, having authored 13 papers that have together received 731 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (7 papers), Artificial Intelligence in Healthcare (3 papers), Retinal and Optic Conditions (2 papers), Retinal Diseases and Treatments (2 papers), Economic and Environmental Valuation (1 paper), Neonatal and fetal brain pathology (1 paper), COVID-19 diagnosis using AI (1 paper) and Glaucoma and retinal disorders (1 paper). The work is most often cited by research in Health Informatics (78 citations), Ophthalmology (291 citations), Radiology, Nuclear Medicine and Imaging (421 citations), General Decision Sciences (27 citations) and Health Information Management (60 citations). Michelle Yip has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Daniel Shu Wei Ting, Gavin Siew Wei Tan, Tien Yin Wong, Yuchen Xie, Quang D. Nguyen, Valentina Bellemo, Gilbert Lim, Mong Li Lee, Wynne Hsu and Haslina Hamzah. Their work appears in journals such as Investigative Ophthalmology & Visual Science, The Lancet Digital Health, npj Digital Medicine, Asia-Pacific Journal of Ophthalmology 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.