World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
80
Citations
21844
World Ranking
17185
National Ranking
198

Overview

Carol Y. Cheung is affiliated with the Chinese University of Hong Kong in China. Their research primarily focuses on medicine, with a specific emphasis on ophthalmology, radiology, nuclear medicine and imaging, biomedical engineering, computer vision and pattern recognition, and epidemiology.

The work of Carol Y. Cheung covers multiple areas within ophthalmology and related disciplines.

  • Retinal Imaging and Analysis
  • Retinal Diseases and Treatments
  • Glaucoma and retinal disorders
  • Retinal and Optic Conditions
  • Optical Coherence Tomography Applications
  • Ophthalmology and Visual Impairment Studies
  • Artificial Intelligence in Healthcare and Education

Their publications have appeared in key journals including the American Journal of Ophthalmology, Nature Medicine, The Lancet Digital Health, Eye, and Frontiers in Medicine.

  • American Journal of Ophthalmology (4 publications)
  • Nature Medicine (3 publications)
  • The Lancet Digital Health (3 publications)
  • Eye (3 publications)
  • Frontiers in Medicine (3 publications)

Frequent collaborators of Carol Y. Cheung include Tien Yin Wong, Clement C. Tham, An Ran Ran, Ching-Yu Cheng, and Yih Chung Tham.

  • Tien Yin Wong (27 collaborations)
  • Clement C. Tham (19 collaborations)
  • An Ran Ran (16 collaborations)
  • Ching-Yu Cheng (13 collaborations)
  • Yih Chung Tham (12 collaborations)

Among recent notable publications authored or co-authored by Carol Y. Cheung are:

  • "A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study," 2022, The Lancet Digital Health
  • "A deep learning system for predicting time to progression of diabetic retinopathy," 2024, Nature Medicine
  • "Optical coherence tomography angiography in diabetic retinopathy: an updated review," 2020, Eye
  • "The Association of Choroidal Thickening by Atropine With Treatment Effects for Myopia: Two-Year Clinical Trial of the Low-concentration Atropine for Myopia Progression (LAMP) Study," 2021, American Journal of Ophthalmology
  • "Large language models and their impact in ophthalmology," 2023, The Lancet Digital Health

Best Publications

  • Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

    Daniel Shu Wei Ting;Daniel Shu Wei Ting;Carol Yim Lui Cheung;Carol Yim Lui Cheung;Gilbert Lim;Gavin Siew Wei Tan;Gavin Siew Wei Tan

  • Retinal nerve fiber layer imaging with spectral-domain optical coherence tomography: a variability and diagnostic performance study.

    Christopher Kai-shun Leung;Carol Yim-lui Cheung;Robert N. Weinreb;Quanliang Qiu;Quanliang Qiu

  • Retinal nerve fiber layer measurements in myopia: An optical coherence tomography study.

    Christopher Kai-Shun Leung;Christopher Kai-Shun Leung;Shaheeda Mohamed;King Sai Leung;Carol Yim-Lui Cheung

  • Spectral-Domain OCT Measurements in Alzheimer's Disease: A Systematic Review and Meta-analysis.

    Victor T.T. Chan;Zihan Sun;Shumin Tang;Li Jia Chen

  • Evaluation of retinal nerve fiber layer progression in glaucoma: a study on optical coherence tomography guided progression analysis.

    Christopher Kai-shun Leung;Christopher Kai-shun Leung;Carol Yim Lui Cheung;Robert N. Weinreb;Kunliang Qiu;Kunliang Qiu

  • Regional variations in the relationship between macular thickness measurements and myopia.

    Dennis Shun Chiu Lam;King Sai Leung;Shaheeda Mohamed;Wai-man Chan

  • Microvascular network alterations in the retina of patients with Alzheimer's disease.

    Carol Yim-lui Cheung;Yi Ting Ong;M. Kamran Ikram;Shin Yeu Ong

  • Comparison of macular thickness measurements between time domain and spectral domain optical coherence tomography.

    Christopher Kai-shun Leung;Christopher Kai-shun Leung;Carol Yim-lui Cheung;Robert N. Weinreb;Gary Lee

  • Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs.

    Hanruo Liu;Liu Li;I. Michael Wormstone;Chunyan Qiao

  • Retinal Vascular Tortuosity, Blood Pressure, and Cardiovascular Risk Factors

    Carol Yim-lui Cheung;Yingfeng Zheng;Wynne Hsu;Mong Li Lee

  • Retinal Microvasculature as a Model to Study the Manifestations of Hypertension

    Carol Yim-lui Cheung;M. Kamran Ikram;Charumathi Sabanayagam;Tien Yin Wong

  • Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs

    Dan Milea;Dan Milea;Raymond P. Najjar;Raymond P. Najjar;Jiang Zhubo;Daniel Ting;Daniel Ting

  • Imaging retina to study dementia and stroke

    Carol Yim-lui Cheung;M. Kamran Ikram;Christopher Chen;Tien Yin Wong

  • Quantitative and qualitative retinal microvascular characteristics and blood pressure

    Carol Y Cheung;Wan T Tay;Paul Mitchell;Jie J Wang

  • Retinal Ganglion Cell Analysis Using High-Definition Optical Coherence Tomography in Patients with Mild Cognitive Impairment and Alzheimer's Disease

    Carol Yim-lui Cheung;Yi Ting Ong;Saima Hilal;Saima Hilal;M. Kamran Ikram

  • Relationship between Retinal Nerve Fiber Layer Measurement and Signal Strength in Optical Coherence Tomography

    Carol Yim Lui Cheung;Christopher Kai Shun Leung;Christopher Kai Shun Leung;Dusheung Lin;Dusheung Lin;Chi-Pui Pang

  • Retinal Vascular Caliber Measurements: Clinical Significance, Current Knowledge and Future Perspectives

    Kamran Ikram;Yi Ting Ong;Carol Yim-Lui Cheung;Tien Yin Wong

  • OCT Angiography Metrics Predict Progression of Diabetic Retinopathy and Development of Diabetic Macular Edema: A Prospective Study.

    Zihan Sun;Fang Yao Tang;Raymond Wong;Jerry Lok

  • Retinal vascular tortuosity in persons with diabetes and diabetic retinopathy.

    M. B. Sasongko;T. Y. Wong;T. Y. Wong;T. T. Nguyen;C. Y. Cheung

  • Retinal Vascular Caliber as a Biomarker for Diabetes Microvascular Complications

    Kamran Ikram;Carol Yim-Lui Cheung;Maria Lorenzi;Ronald Klein

Frequent Co-Authors

Tien Yin Wong
Tien Yin Wong Tsinghua University
Tin Aung
Tin Aung National University of Singapore
Ching-Yu Cheng
Ching-Yu Cheng National University of Singapore
Christopher Chen
Christopher Chen National University of Singapore
Jie Jin Wang
Jie Jin Wang University of Sydney
Paul Mitchell
Paul Mitchell University of Sydney
Seang-Mei Saw
Seang-Mei Saw National University of Singapore
Dennis S.C. Lam
Dennis S.C. Lam Chinese University of Hong Kong, Shenzhen
Jiang Liu
Jiang Liu Southern University of Science and Technology
Robert N. Weinreb
Robert N. Weinreb University of California, San Diego

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