Ching‐Yu Cheng

97.5k total citations · 9 hit papers
518 papers, 25.2k citations indexed

About

Ching‐Yu Cheng is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Ching‐Yu Cheng has authored 518 papers receiving a total of 25.2k indexed citations (citations by other indexed papers that have themselves been cited), including 368 papers in Ophthalmology, 316 papers in Radiology, Nuclear Medicine and Imaging and 105 papers in Epidemiology. Recurrent topics in Ching‐Yu Cheng's work include Glaucoma and retinal disorders (255 papers), Retinal Diseases and Treatments (231 papers) and Retinal Imaging and Analysis (224 papers). Ching‐Yu Cheng is often cited by papers focused on Glaucoma and retinal disorders (255 papers), Retinal Diseases and Treatments (231 papers) and Retinal Imaging and Analysis (224 papers). Ching‐Yu Cheng collaborates with scholars based in Singapore, United States and Australia. Ching‐Yu Cheng's co-authors include Tien Yin Wong, Yih Chung Tham, Tin Aung, Li Xiang, Harry A. Quigley, Chui Ming Gemmy Cheung, Ronald Klein, Xiang Li, Wan Ling Wong and Xinyi Su and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Ching‐Yu Cheng

497 papers receiving 24.7k 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.

Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040

2014 4.8k citations Yih Chung Tham, Tien Yin Wong et al. Ophthalmology profile →
Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis

2014 3.7k citations Chui Ming Gemmy Cheung, Ching‐Yu Cheng 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 →
Prevalence of dry eye among an elderly Chinese population in Taiwan

2003 505 citations Ching‐Yu Cheng et al. Ophthalmology profile →
Choroidal vascularity index as a measure of vascular status of the choroid: Measurements in healthy eyes from a population-based study

2016 498 citations Chui Ming Gemmy Cheung, Tien Yin Wong et al. profile →
Superpixel Classification Based Optic Disc and Optic Cup Segmentation for Glaucoma Screening

2013 432 citations Damon Wing Kee Wong, Ching‐Yu Cheng et al. profile →
Incidence and progression of diabetic retinopathy: a systematic review

2018 342 citations Charumathi Sabanayagam, Miao Li Chee 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 →
Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard

2023 202 citations Krithi Pushpanathan, David Ziyou Chen et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ching‐Yu Cheng Singapore	62	18.4k	14.2k	4.0k	3.4k	2.4k	518	25.2k
Paul Mitchell Australia	84	16.2k 0.9×	13.1k 0.9×	5.8k 1.4×	2.9k 0.8×	2.0k 0.8×	339	25.5k
Tin Aung Singapore	73	25.1k 1.4×	19.3k 1.4×	2.9k 0.7×	3.5k 1.0×	2.9k 1.2×	639	28.9k
Jie Jin Wang Australia	91	17.5k 0.9×	14.7k 1.0×	4.4k 1.1×	2.9k 0.8×	1.2k 0.5×	384	25.2k
Jost B. Jonas Germany	102	38.3k 2.1×	28.4k 2.0×	9.1k 2.3×	4.6k 1.4×	2.9k 1.2×	1.0k	45.8k
Paul Mitchell Australia	72	10.1k 0.5×	8.6k 0.6×	3.6k 0.9×	2.4k 0.7×	1.5k 0.6×	433	19.3k
David S. Friedman United States	82	17.4k 0.9×	12.2k 0.9×	4.4k 1.1×	1.3k 0.4×	2.3k 1.0×	506	23.1k
Frederick L. Ferris United States	70	22.2k 1.2×	16.7k 1.2×	3.3k 0.8×	5.1k 1.5×	837 0.3×	200	28.1k
Paul Mitchell Australia	65	13.1k 0.7×	10.6k 0.7×	2.6k 0.7×	2.8k 0.8×	1.1k 0.4×	213	18.3k
Leopold Schmetterer Austria	68	13.0k 0.7×	10.4k 0.7×	995 0.2×	1.9k 0.5×	1.3k 0.6×	610	18.6k
Mingguang He China	65	13.9k 0.8×	13.7k 1.0×	8.3k 2.1×	865 0.3×	1.6k 0.7×	647	19.2k

Countries citing papers authored by Ching‐Yu Cheng

Since Specialization

Citations

This map shows the geographic impact of Ching‐Yu Cheng'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 Ching‐Yu Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Yu Cheng more than expected).

Fields of papers citing papers by Ching‐Yu Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Yu Cheng. 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 Ching‐Yu Cheng. The network helps show where Ching‐Yu Cheng may publish in the future.

Co-authorship network of co-authors of Ching‐Yu Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Yu Cheng. A scholar is included among the top collaborators of Ching‐Yu Cheng 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 Ching‐Yu Cheng. Ching‐Yu Cheng 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

Guan, Zhong Zhen, Jie Shen, Carol Y. Cheung, et al.. (2025). Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images. Diabetes Research and Clinical Practice. 230. 112560–112560.

Srinivasan, Sahana, Hongwei Ji, David Ziyou Chen, et al.. (2025). Can off-the-shelf visual large language models detect and diagnose ocular diseases from retinal photographs?. BMJ Open Ophthalmology. 10(1). e002076–e002076.

Chua, Jacqueline, Chi Li, Damon Wing Kee Wong, et al.. (2024). Anatomical compensation of retinal nerve fiber layer improves the detection of glaucoma between ethnicities. Annals of the New York Academy of Sciences. 1540(1). 338–349.

Zhang, Lijun, Jie Zhang, Jinghua Jiao, et al.. (2024). Global, regional and national burden due to retinoblastoma in children aged younger than 10 years from 1990 to 2021. BMC Medicine. 22(1). 604–604. 3 indexed citations

Ng, Kwun Kei, Xing Qian, Siwei Liu, et al.. (2024). Rate of brain aging associates with future executive function in Asian children and older adults. eLife. 13. 1 indexed citations

Tan, Nicholas, et al.. (2024). RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. Proceedings of the AAAI Conference on Artificial Intelligence. 38(20). 22401–22409.

Goh, Jocelyn Hui Lin, Sahana Srinivasan, Xiaofeng Lei, et al.. (2024). Comparative Analysis of Vision Transformers and Conventional Convolutional Neural Networks in Detecting Referable Diabetic Retinopathy. SHILAP Revista de lepidopterología. 4(6). 100552–100552. 9 indexed citations

Li, Hengtong, Marco Yu, Crystal Chun Yuen Chong, et al.. (2024). Omega-3 Fatty Acids as Protective Factors for Age-Related Macular Degeneration. Ophthalmology. 132(5). 598–609. 5 indexed citations

Cheong, Kai Xiong, Hengtong Li, Yih Chung Tham, et al.. (2023). Relationship Between Retinal Layer Thickness and Genetic Susceptibility to Age-Related Macular Degeneration in Asian Populations. SHILAP Revista de lepidopterología. 3(4). 100396–100396. 5 indexed citations

10.

Chen, Ruiye, Yueye Wang, Shiran Zhang, et al.. (2023). Biomarkers of ageing: Current state‐of‐art, challenges, and opportunities. SHILAP Revista de lepidopterología. 2(2). 28 indexed citations

11.

Soh, Zhi Da, Monisha E. Nongpiur, Marco Yu, et al.. (2023). Deep Learning-based Quantification of Anterior Segment OCT Parameters. SHILAP Revista de lepidopterología. 4(1). 100360–100360. 6 indexed citations

12.

Majithia, Shivani, Crystal Chun Yuen Chong, Miao Li Chee, et al.. (2023). Associations between Chronic Kidney Disease and Thinning of Neuroretinal Layers in Multiethnic Asian and White Populations. SHILAP Revista de lepidopterología. 4(1). 100353–100353. 4 indexed citations

13.

Tan, Benjamin Kye Jyn, et al.. (2022). Bidirectional association between glaucoma and chronic kidney disease: A systematic review and meta-analysis. EClinicalMedicine. 49. 101498–101498. 10 indexed citations

14.

Chee, Miao Li, Zhi Da Soh, Zhen Ling Teo, et al.. (2021). Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras. British Journal of Ophthalmology. 106(12). 1642–1647. 29 indexed citations

15.

Betzler, Bjorn Kaijun, Sahil Thakur, Marco Yu, et al.. (2021). Gender Prediction for a Multiethnic Population via Deep Learning Across Different Retinal Fundus Photograph Fields: Retrospective Cross-sectional Study. JMIR Medical Informatics. 9(8). e25165–e25165. 15 indexed citations

16.

Sun, Quan, Misa Graff, Jia Wen, et al.. (2021). Analyses of biomarker traits in diverse UK biobank participants identify associations missed by European-centric analysis strategies. Journal of Human Genetics. 67(2). 87–93. 21 indexed citations

17.

Ran, An Ran, Clement C. Tham, Poemen P. Chan, et al.. (2020). Correction: Deep learning in glaucoma with optical coherence tomography: a review. Eye. 35(1). 357–357. 2 indexed citations

18.

Cheung, Ning, Stanley Poh, Sahil Thakur, et al.. (2020). Prevalence of retinitis pigmentosa in Singapore: the Singapore Epidemiology of Eye Diseases Study. Acta Ophthalmologica. 99(1). e134–e135. 8 indexed citations

19.

Chen, David Ziyou, Victor Koh, Marcus Tan, et al.. (2018). Peripheral retinal changes in highly myopic young Asian eyes. Acta Ophthalmologica. 96(7). e846–e851. 24 indexed citations

20.

Lee, Ryan, et al.. (2017). Factors affecting signal strength in spectral‐domain optical coherence tomography. Acta Ophthalmologica. 96(1). e54–e58. 20 indexed citations

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.

Explore authors with similar magnitude of impact