Daniel Shu Wei Ting

27.8k total citations · 16 hit papers
184 papers, 12.9k 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 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Radiology, Nuclear Medicine and Imaging, 110 papers in Ophthalmology and 47 papers in Health Informatics. Recurrent topics in Daniel Shu Wei Ting's work include Retinal Imaging and Analysis (107 papers), Retinal Diseases and Treatments (64 papers) and Retinal and Optic Conditions (57 papers). Daniel Shu Wei Ting is often cited by papers focused on Retinal Imaging and Analysis (107 papers), Retinal Diseases and Treatments (64 papers) and Retinal and Optic Conditions (57 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, 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 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

175 papers receiving 12.5k citations

Hit Papers

5 papers align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Large language models in medicine

2023 1.5k citations Arun James Thirunavukarasu, Darren Shu Jeng Ting et al. profile →
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 →
Digital technology and COVID-19

2020 878 citations Daniel Shu Wei Ting, Tien Yin Wong et al. profile →
Artificial Intelligence and Deep Learning in Ophthalmology

2018 831 citations Pearse A. Keane, Tien Yin Wong et al. profile →
Diabetic retinopathy: global prevalence, major risk factors, screening practices and public health challenges: a review

2015 731 citations Daniel Shu Wei Ting, Chui Ming Gemmy Cheung et al. profile →
Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

2021 503 citations Ravi Aggarwal, Viknesh Sounderajah et al. npj Digital Medicine profile →
Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective

2020 358 citations Darren Shu Jeng Ting, Haotian Lin et al. profile →
Deep learning in ophthalmology: The technical and clinical considerations

2019 345 citations Daniel Shu Wei Ting, Pearse A. Keane et al. profile →
Logistic regression was as good as machine learning for predicting major chronic diseases

2020 339 citations Simon Nusinovici, Yih Chung Tham et al. profile →
The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare

2021 257 citations Daniel Shu Wei Ting et al. profile →
Digital Screen Time During the COVID-19 Pandemic: Risk for a Further Myopia Boom?

2020 251 citations Jost B. Jonas, Kyoko Ohno‐Matsui et al. profile →
Artificial intelligence for diabetic retinopathy screening: a review

2019 234 citations Gavin Siew Wei Tan, Daniel Shu Wei Ting et al. profile →
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study

2019 227 citations Wynne Hsu, Mong Li Lee et al. The Lancet Digital Health profile →
Ethical and regulatory challenges of large language models in medicine

2024 105 citations Jasmine Chiat Ling Ong, Nan Liu et al. The Lancet Digital Health profile →
Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist

2024 64 citations Yilin Ning, Daniel Shu Wei Ting et al. The Lancet Digital Health profile →
Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness

2025 30 citations Kabilan Elangovan, Hairil Rizal Abdullah et al. npj Digital Medicine profile →

Peers

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Retrieval-augmented generation for generative artificial intelligence in health care 2025 ·(unknown), Yilin Ning, (unknown), (unknown), Chuan Hong, Danielle S. Bitterman, Jasmine Chiat Ling Ong, Daniel Shu Wei Ting, Nan Liu	16
2	How can artificial intelligence transform the training of medical students and physicians? 2025 ·The Lancet Digital Health ·Yilin Ning, Jasmine Chiat Ling Ong, (unknown), Haibo Wang, Daniel Shu Wei Ting, Yih Chung Tham, Tien Yin Wong, Nan Liu	1
3	Cybersecurity in the generative artificial intelligence era 2024 ·Asia-Pacific Journal of Ophthalmology ·Zhen Ling Teo, (unknown), (unknown), Daniel Shu Wei Ting	8
4	Latest developments of generative artificial intelligence and applications in ophthalmology 2024 ·Asia-Pacific Journal of Ophthalmology ·Xiaoru Feng, (unknown), Mingjie Luo, (unknown), (unknown), Qi He, (unknown), (unknown), You Wu, (unknown), Yih Chung Tham, Daniel Shu Wei Ting, Haotian Lin, Tien Yin Wong, Dennis Shun-Chiu Lam	3
5	Corneal Response to Cataract Extraction with Advanced Vacuum-Assisted Technology 2024 ·Radhika Rampat, Rashmi Deshmukh, (unknown), Daniel Shu Wei Ting, Dalia G. Said, Harminder S. Dua, Darren Shu Jeng Ting	0
6	Comparison of the Quality of Discharge Letters Written by Large Language Models and Junior Clinicians: Single-Blinded Study 2024 ·Journal of Medical Internet Research ·Joshua Yi Min Tung, (unknown), Gerald Gui Ren Sng, Daniel Yan Zheng Lim, Yuhe Ke, Ting Fang Tan, (unknown), Kabilan Elangovan, Jasmine Chiat Ling Ong, Hairil Rizal Abdullah, Daniel Shu Wei Ting, Tsung Wen Chong	16
7	National Use of Artificial Intelligence for Eye Screening in Singapore 2024 ·NEJM AI ·Dinesh Visva Gunasekeran, Steven Miller, Wynne Hsu, Mong Li Lee, Hon Tym Wong, (unknown), Ecosse L. Lamoureux, Daniel Shu Wei Ting, Gavin Siew Wei Tan, Tien Yin Wong	2
8	Effect of childhood atropine treatment on adult choroidal thickness using sequential deep learning-enabled segmentation 2024 ·Asia-Pacific Journal of Ophthalmology ·Yong Li, Damon Wing Kee Wong, (unknown), (unknown), (unknown), Han Yuan, (unknown), (unknown), Daniel Shu Wei Ting, Nan Liu, Leopold Schmetterer, Seang‐Mei Saw, Jost B. Jonas, Audrey Chia, Marcus Ang	5
9	Artificial Intelligence-Based Disease Activity Monitoring to Personalized Neovascular Age-Related Macular Degeneration Treatment: A Feasibility Study 2024 ·SHILAP Revista de lepidopterología ·Zufar Mulyukov, Pearse A. Keane, Jayashree Sahni, Sandra Liakopoulos, Katja Hatz, Daniel Shu Wei Ting, Roberto Gallego‐Pinazo, Tariq Aslam, Chui Ming Gemmy Cheung, Gabriella De Salvo, Oudy Semoun, Gábor Márk Somfai, Andreas Stahl, Brandon J. Lujan, (unknown)	1
10	Cross-modality Labeling Enables Noninvasive Capillary Quantification as a Sensitive Biomarker for Assessing Cardiovascular Risk 2023 ·SHILAP Revista de lepidopterología ·Danli Shi, Yukun Zhou, Shuang He, Siegfried K. Wagner, Yu Huang, Pearse A. Keane, Daniel Shu Wei Ting, Lei Zhang, Yingfeng Zheng, Mingguang He	4
11	Democratizing Artificial Intelligence Imaging Analysis With Automated Machine Learning: Tutorial 2023 ·Journal of Medical Internet Research ·Arun James Thirunavukarasu, Kabilan Elangovan, Laura Gutiérrez, (unknown), I Leng Tan, Pearse A. Keane, Edward Korot, Daniel Shu Wei Ting	17
12	Challenges in digital medicine applications in under-resourced settings 2022 ·Nature Communications ·Walter H. Curioso, Daniel Shu Wei Ting, Bram van Ginneken, Martin C. Were, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	20
13	A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study 2022 ·SHILAP Revista de lepidopterología ·Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting, Nan Liu	22
14	Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis breakdown → 2021 ·npj Digital Medicine ·Ravi Aggarwal, Viknesh Sounderajah, Guy Martin, Daniel Shu Wei Ting, Alan Karthikesalingam, Dominic King, Hutan Ashrafian, Ara Darzi	503
15	Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045 breakdown → 2021 ·Ophthalmology ·Zhen Ling Teo, Yih Chung Tham, Marco Yu, Miao Li Chee, Tyler Hyungtaek Rim, Ning Cheung, Mukharram M. Bikbov, Ya Xing Wang, Yating Tang, Yi Lü, Ian Y. Wong, Daniel Shu Wei Ting, Gavin Siew Wei Tan, Jost B. Jonas, Charumathi Sabanayagam, Tien Yin Wong, Ching‐Yu Cheng	1211
16	New digital models of care in ophthalmology, during and beyond the COVID-19 pandemic 2021 ·British Journal of Ophthalmology ·Yih Chung Tham, Rahat Husain, Kelvin Yi Chong Teo, Anna C. S. Tan, (unknown), Daniel Shu Wei Ting, Ching‐Yu Cheng, Gavin Siew Wei Tan, Tien Yin Wong	24
17	Deep Learning Approach for Automated Detection of Myopic Maculopathy and Pathologic Myopia in Fundus Images 2021 ·Ophthalmology Retina ·Ran Du, Shiqi Xie, Yuxin Fang, Tae Igarashi-Yokoi, Muka Moriyama, (unknown), Tatsuhiko Tsunoda, Takashi Kamatani, Shinji Yamamoto, Ching‐Yu Cheng, Seang‐Mei Saw, Daniel Shu Wei Ting, Tien Yin Wong, Kyoko Ohno‐Matsui	53
18	Detection of Optic Disc Abnormalities in Color Fundus Photographs Using Deep Learning 2021 ·Journal of Neuro-Ophthalmology ·(unknown), Jinchi Wei, (unknown), Prem S. Subramanian, David Myung, Paul H. Yi, Ferdinand Hui, Mathias Unberath, Daniel Shu Wei Ting, Neil R. Miller	22
19	Deep Learning for Automated Sorting of Retinal Photographs 2020 ·Ophthalmology Retina ·Tyler Hyungtaek Rim, Zhi Da Soh, Yih Chung Tham, (unknown), Geunyoung Lee, (unknown), Simon Nusinovici, Daniel Shu Wei Ting, Tien Yin Wong, Ching‐Yu Cheng	13
20	Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images 2020 ·Communications Biology ·Zhongwen Li, Chong Guo, Danyao Nie, Duoru Lin, Yi Zhu, Chuan Chen, Xiaohang Wu, Fabao Xu, Chenjin Jin, Xiayin Zhang, Hui Xiao, Kai Zhang, Lanqin Zhao, Pisong Yan, Weiyi Lai, (unknown), (unknown), Yonghao Li, Daniel Shu Wei Ting, Haotian Lin	68

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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