Daniel Shu Wei Ting
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Ophthalmology top 0.05%
- Health Informatics top 0.01%
- Artificial Intelligence top 0.5%
- Epidemiology top 2%
- Co-authors
- Tien Yin WongGavin Siew Wei TanChui Ming Gemmy CheungTing Fang TanDarren Shu Jeng TingArun James ThirunavukarasuLaura GutiérrezKabilan Elangovan
- Topics
- Retinal Imaging and Analysis (107 papers)Retinal Diseases and Treatments (64 papers)Retinal and Optic Conditions (57 papers)
- Journals
- Nature MedicineNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Daniel Shu Wei Ting
175 papers receiving 12.5k citations
Hit Papers
Peers
Comparison fields: 5 of 211
- Radiology, Nuclear Medicine and Imaging 7.0k
- Ophthalmology 5.7k
- Health Informatics 2.2k
- Artificial Intelligence 1.9k
- Epidemiology 1.1k
Countries citing papers authored by Daniel Shu Wei Ting
This map shows the geographic impact of Daniel Shu Wei 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 Shu Wei 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 Shu Wei Ting more than expected).
Fields of papers citing papers by Daniel Shu Wei Ting
This network shows the impact of papers produced by Daniel Shu Wei 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 Shu Wei Ting. The network helps show where Daniel Shu Wei Ting may publish in the future.
Co-authorship network of co-authors of Daniel Shu Wei Ting
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Shu Wei Ting. A scholar is included among the top collaborators of Daniel Shu Wei Ting based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Shu Wei Ting. Daniel Shu Wei Ting is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 16 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 20 | |
| 13 | 22 | |
| 14 | Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysisbreakdown → | 503 |
| 15 | Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045breakdown → | 1211 |
| 16 | 24 | |
| 17 | 53 | |
| 18 | 22 | |
| 19 | 13 | |
| 20 | 68 |
About Daniel Shu Wei Ting
Daniel Shu Wei Ting is a scholar working on Health Informatics, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 184 papers that have together received 12.9k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (107 papers), Retinal Diseases and Treatments (64 papers) and Retinal and Optic Conditions (57 papers). The work is most often cited by research in Health Informatics (2.2k citations), Ophthalmology (5.7k citations) and Radiology, Nuclear Medicine and Imaging (7.0k citations). Daniel Shu Wei Ting has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Tien Yin Wong, Gavin Siew Wei Tan, Chui Ming Gemmy Cheung, Ting Fang Tan, Darren Shu Jeng Ting, Arun James Thirunavukarasu, Laura Gutiérrez, Kabilan Elangovan, Lawrence Carin and Victor J. Dzau. Their work appears in journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.
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.