Jinyi Ho
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Retinal and Optic Conditions
- Glaucoma and retinal disorders
Papers in
-
- Retinal Imaging and Analysis 6
- COVID-19 diagnosis using AI 2
-
- Artificial Intelligence in Healthcare 3
- Co-authors
- Quang D. Nguyen (5 shared papers)Valentina Bellemo (5 shared papers)Gavin Siew Wei Tan (5 shared papers)Yuchen Xie (5 shared papers)Gilbert Lim (5 shared papers)Tien Yin Wong (6 shared papers)Haslina Hamzah (6 shared papers)Mong Li Lee (6 shared papers)
- Journals
- Investigative Ophthalmology & Visual Science (2 papers)Journal of the American Medical Informatics Association (1 paper)npj Digital Medicine (1 paper)The Lancet Digital Health (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- SingaporeUnited KingdomZambia
In The Last Decade
Jinyi Ho
6 papers receiving 277 citations
Jinyi Ho's Hit Papers
Peers
Comparison fields: 5 of 54
- Health Informatics 46
- Ophthalmology 159
- Health Information Management 58
- Radiology, Nuclear Medicine and Imaging 218
- Computer Vision and Pattern Recognition 34
Countries citing papers authored by Jinyi Ho
This map shows the geographic impact of Jinyi Ho'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 Jinyi Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyi Ho more than expected).
Fields of papers citing papers by Jinyi Ho
This network shows the impact of papers produced by Jinyi Ho. 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 Jinyi Ho. The network helps show where Jinyi Ho may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinyi Ho, 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 | 31 | |
| 3 | 2023 | 14 | |
| 4 | 2019 | 8 | |
| 5 | Effect of Image Compression and Number of Fields on a Deep Learning System for Detection of Diabetic Retinopathy | 2019 | 1 |
| 6 | The Application of Deep Learning System to Screen for Diabetic Retinopathy in an Underprivileged African Population with Diabetes | 2019 | 1 |
About Jinyi Ho
Jinyi Ho is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Information Management, Ophthalmology, Nephrology and Epidemiology, having authored 6 papers that have together received 282 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (6 papers), Artificial Intelligence in Healthcare (3 papers), Retinal Diseases and Treatments (3 papers), COVID-19 diagnosis using AI (2 papers), Retinal and Optic Conditions (1 paper), Acute Ischemic Stroke Management (1 paper), Brain Tumor Detection and Classification (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Health Informatics (46 citations), Ophthalmology (159 citations), Health Information Management (58 citations), Radiology, Nuclear Medicine and Imaging (218 citations) and Computer Vision and Pattern Recognition (34 citations). Jinyi Ho has collaborated with scholars based in Singapore, United Kingdom and Zambia. Frequent co-authors include Quang D. Nguyen, Valentina Bellemo, Gavin Siew Wei Tan, Yuchen Xie, Gilbert Lim, Tien Yin Wong, Haslina Hamzah, Mong Li Lee, Michelle Yip and Wynne Hsu. Their work appears in journals such as Investigative Ophthalmology & Visual Science, Journal of the American Medical Informatics Association, npj Digital Medicine, The Lancet Digital Health and SSRN Electronic Journal.
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.