Michelle Yip
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 1%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
Papers in
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- Retinal Imaging and Analysis 11
- COVID-19 diagnosis using AI 2
- Corneal surgery and disorders 1
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- Retinal and Optic Conditions 5
- Retinal Diseases and Treatments 4
- Glaucoma and retinal disorders 3
- Co-authors
- Daniel Shu Wei Ting (7 shared papers)Gavin Siew Wei Tan (8 shared papers)Tien Yin Wong (9 shared papers)Valentina Bellemo (8 shared papers)Yuchen Xie (8 shared papers)Haslina Hamzah (8 shared papers)Quang D. Nguyen (8 shared papers)Gilbert Lim (8 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (3 papers)The Lancet Digital Health (2 papers)Ophthalmology Retina (1 paper)npj Digital Medicine (1 paper)British Journal of Social Psychology (1 paper)
- Partner nations
- SingaporeUnited KingdomChina
In The Last Decade
Michelle Yip
14 papers receiving 594 citations
Michelle Yip's Hit Papers
Peers
Comparison fields: 5 of 81
- Health Informatics 84
- Ophthalmology 363
- Radiology, Nuclear Medicine and Imaging 447
- Health Information Management 82
- General Decision Sciences 28
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 | 227 |
| 2 | 2020 | 174 | |
| 3 | 2022 | 44 | |
| 4 | 2006 | 42 | |
| 5 | 2023 | 37 | |
| 6 | 2020 | 31 | |
| 7 | 2021 | 18 | |
| 8 | 2024 | 11 | |
| 9 | Cost-Effectiveness Analysis of an Artificial Intelligence-Assisted Deep Learning System Implemented in the National Tele-Medicine Diabetic Retinopathy Screening in Singapore | 2019 | 8 |
| 10 | 2019 | 8 | |
| 11 | 2019 | 2 | |
| 12 | Effect of Image Compression and Number of Fields on a Deep Learning System for Detection of Diabetic Retinopathy | 2019 | 1 |
| 13 | The Application of Deep Learning System to Screen for Diabetic Retinopathy in an Underprivileged African Population with Diabetes | 2019 | 1 |
| 14 | 2024 | 1 |
About Michelle Yip
Michelle Yip is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Health Information Management, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 605 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (11 papers), Retinal and Optic Conditions (5 papers), Artificial Intelligence in Healthcare (4 papers), Retinal Diseases and Treatments (4 papers), Glaucoma and retinal disorders (3 papers), COVID-19 diagnosis using AI (2 papers), Decision-Making and Behavioral Economics (1 paper) and Corneal surgery and disorders (1 paper). The work is most often cited by research in Health Informatics (84 citations), Ophthalmology (363 citations), Radiology, Nuclear Medicine and Imaging (447 citations), Health Information Management (82 citations) and General Decision Sciences (28 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, Valentina Bellemo, Yuchen Xie, Haslina Hamzah, Quang D. Nguyen, Gilbert Lim, Mong Li Lee and Wynne Hsu. Their work appears in journals such as Investigative Ophthalmology & Visual Science, The Lancet Digital Health, Ophthalmology Retina, npj Digital Medicine and British Journal of Social Psychology.
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.