Daniel Shu Wei Ting

335 total papers · 26.8k total citations
184 papers, 12.5k citations indexed

About

Daniel Shu Wei Ting is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Health Informatics. According to data from OpenAlex, Daniel Shu Wei Ting has authored 184 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Radiology, Nuclear Medicine and Imaging, 111 papers in Ophthalmology and 46 papers in Health Informatics. Recurrent topics in Daniel Shu Wei Ting's work include Retinal Imaging and Analysis (108 papers), Retinal Diseases and Treatments (64 papers) and Retinal and Optic Conditions (58 papers). Daniel Shu Wei Ting is often cited by papers focused on Retinal Imaging and Analysis (108 papers), Retinal Diseases and Treatments (64 papers) and Retinal and Optic Conditions (58 papers). Daniel Shu Wei Ting collaborates with scholars based in Singapore, United States and United Kingdom. Daniel Shu Wei Ting's co-authors include Tien Yin Wong, Chui Ming Gemmy Cheung, Darren Shu Jeng Ting, Ting Fang Tan, Arun James Thirunavukarasu, Gavin Siew Wei Tan, Laura Gutiérrez, Kabilan Elangovan, Lawrence Carin and Victor J. Dzau and has published in prestigious journals such as Nature Medicine, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Shu Wei Ting

172 papers receiving 12.2k citations

Hit Papers

Large language models in ... 2015 2026 2018 2022 2023 2021 2020 2018 2015 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Large language models in medicine
    2023 1.4k citations Arun James Thirunavukarasu, Darren Shu Jeng Ting et al. Nature Medicine profile →
  2. Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045
    2021 1.2k citations Zhen Ling Teo, Yih Chung Tham et al. Ophthalmology profile →
  3. Digital technology and COVID-19
    2020 876 citations Daniel Shu Wei Ting, Lawrence Carin et al. Nature Medicine profile →
  4. Artificial Intelligence and Deep Learning in Ophthalmology
    2018 817 citations Daniel Shu Wei Ting, Louis R. Pasquale et al. Artificial Intelligence in Medicine profile →
  5. Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review
    2015 725 citations Daniel Shu Wei Ting, Chui Ming Gemmy Cheung et al. Clinical and Experimental Ophthalmology profile →
  6. Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis
    2021 486 citations Ravi Aggarwal, Viknesh Sounderajah et al. npj Digital Medicine profile →
  7. Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
    2020 347 citations Ji-Peng Olivia Li, Hanruo Liu et al. Progress in Retinal and Eye Research profile →
  8. Deep learning in ophthalmology: The technical and clinical considerations
    2019 340 citations Daniel Shu Wei Ting, Lily Peng et al. Progress in Retinal and Eye Research profile →
  9. Logistic regression was as good as machine learning for predicting major chronic diseases
    2020 333 citations Simon Nusinovici, Yih Chung Tham et al. Journal of Clinical Epidemiology profile →
  10. Digital Screen Time During the COVID-19 Pandemic: Risk for a Further Myopia Boom?
    2020 248 citations Chee Wai Wong, Andrew Tsai et al. American Journal of Ophthalmology profile →
  11. The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare
    2021 243 citations Yuri Yin‐Moe Aung, David Wong et al. British Medical Bulletin profile →
  12. Artificial intelligence for diabetic retinopathy screening: a review
    2019 230 citations Andrzej Grzybowski, Piotr Brona et al. Eye profile →
  13. Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study
    2019 220 citations Valentina Bellemo, Zhan Wei Lim et al. The Lancet Digital Health profile →
  14. Ethical and regulatory challenges of large language models in medicine
    2024 97 citations Jasmine Chiat Ling Ong, Yin‐Hsi Chang et al. The Lancet Digital Health profile →
  15. Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness
    2025 21 citations Kabilan Elangovan, Hairil Rizal Abdullah et al. npj Digital Medicine profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Shu Wei Ting 6.8k 5.6k 2.0k 1.9k 1.1k 184 12.5k
Rajiv Raman 5.5k 0.8× 4.5k 0.8× 692 0.3× 1.2k 0.6× 693 0.7× 232 8.7k
Lily Peng 6.5k 1.0× 3.2k 0.6× 1.7k 0.9× 2.7k 1.4× 637 0.6× 42 10.4k
Pearse A. Keane 7.3k 1.1× 8.0k 1.4× 1.1k 0.5× 838 0.4× 551 0.5× 380 11.5k
Kim Ramasamy 4.2k 0.6× 3.5k 0.6× 649 0.3× 1.1k 0.6× 417 0.4× 141 7.0k
Alastair K. Denniston 2.3k 0.3× 2.8k 0.5× 1.2k 0.6× 911 0.5× 521 0.5× 218 6.5k
Yih Chung Tham 6.0k 0.9× 7.7k 1.4× 506 0.2× 441 0.2× 745 0.7× 233 10.5k
Michael F. Chiang 6.1k 0.9× 3.1k 0.6× 371 0.2× 536 0.3× 933 0.9× 347 9.2k
Daniel L. Rubin 8.2k 1.2× 1.2k 0.2× 1.2k 0.6× 5.9k 3.1× 507 0.5× 365 15.8k
Yun Liu 2.4k 0.3× 708 0.1× 863 0.4× 1.9k 1.0× 247 0.2× 112 5.3k
Jie Xu 1.6k 0.2× 1.3k 0.2× 674 0.3× 516 0.3× 538 0.5× 145 4.1k

Countries citing papers authored by Daniel Shu Wei Ting

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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