Daniel SW Ting
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Ophthalmology top 5%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
Papers in
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- Retinal Imaging and Analysis 7
- Retinal and Macular Surgery 2
- COVID-19 diagnosis using AI 1
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- Retinal and Optic Conditions 5
- Retinal Diseases and Treatments 2
- Co-authors
- Ting Fang Tan (2 shared papers)Dinesh Visva Gunasekeran (2 shared papers)Wei Yan Ng (1 shared paper)Zhen Ling Teo (2 shared papers)Jane Lim (1 shared paper)Yong Li (1 shared paper)Chui Ming Gemmy Cheung (3 shared papers)Laurence Shen Lim (1 shared paper)
- Journals
- Ophthalmology Retina (2 papers)Asia-Pacific Journal of Ophthalmology (2 papers)Biomedical Journal (1 paper)Investigative Ophthalmology & Visual Science (1 paper)Clinical and Experimental Ophthalmology (1 paper)
- Partner nations
- SingaporeUnited StatesSouth Korea
In The Last Decade
Daniel SW Ting
9 papers receiving 250 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Health Informatics 26
- Ophthalmology 121
- Human-Computer Interaction 48
- Radiology, Nuclear Medicine and Imaging 92
- Applied Psychology 11
Countries citing papers authored by Daniel SW Ting
This map shows the geographic impact of Daniel SW Ting'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 Daniel SW Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel SW Ting more than expected).
Fields of papers citing papers by Daniel SW Ting
This network shows the impact of papers produced by Daniel SW Ting. 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 Daniel SW Ting. The network helps show where Daniel SW Ting may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel SW Ting, 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 | Metaverse and Virtual Health Care in Ophthalmology: Opportunities and Challenges Hit paper breakdown → | 2022 | 100 |
| 2 | 2016 | 46 | |
| 3 | 2015 | 42 | |
| 4 | 2023 | 24 | |
| 5 | 2021 | 18 | |
| 6 | 2024 | 11 | |
| 7 | Artificial intelligence using a deep learning system with transfer learning to predict refractive error and myopic macular degeneration from color fundus photographs | 2019 | 10 |
| 8 | 2023 | 4 | |
| 9 | 2016 | 3 | |
| 10 | 2025 | 0 | |
| 11 | 2020 | 0 |
About Daniel SW Ting
Daniel SW Ting is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology, Health Informatics, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 11 papers that have together received 258 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (7 papers), Retinal and Optic Conditions (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), Retinal Diseases and Treatments (2 papers), Retinal and Macular Surgery (2 papers), Ocular Surface and Contact Lens (1 paper), COVID-19 diagnosis using AI (1 paper) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Health Informatics (26 citations), Ophthalmology (121 citations), Human-Computer Interaction (48 citations), Radiology, Nuclear Medicine and Imaging (92 citations) and Applied Psychology (11 citations). Daniel SW Ting has collaborated with scholars based in Singapore, United States and South Korea. Frequent co-authors include Ting Fang Tan, Dinesh Visva Gunasekeran, Wei Yan Ng, Zhen Ling Teo, Jane Lim, Yong Li, Chui Ming Gemmy Cheung, Laurence Shen Lim, Paul Chew and Tin Aung. Their work appears in journals such as Ophthalmology Retina, Asia-Pacific Journal of Ophthalmology, Biomedical Journal, Investigative Ophthalmology & Visual Science and Clinical and Experimental 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.