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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Applications of Artificial Intelligence in Ophthalmology: General Overview
Wei Lü, Yan Tong, Yue Yu, et al.
Journal of Ophthalmology (2018) Vol. 2018, pp. 1-15
Open Access | Times Cited: 125

Showing 26-50 of 125 citing articles:

MyopiaDETR: End-to-end pathological myopia detection based on transformer using 2D fundus images
Manyu Li, Shichang Liu, Zihan Wang, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 12
Unmasking biases and navigating pitfalls in the ophthalmic artificial intelligence lifecycle: A narrative review
Luis Filipe Nakayama, João Matos, Justin Quion, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 10, pp. e0000618-e0000618
Open Access | Times Cited: 4
Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis
Patrick Murtagh
International Journal of Ophthalmology (2019) Vol. 13, Iss. 1, pp. 149-162
Open Access | Times Cited: 32
Treatment Potential for Macular Cone Vision in Leber Congenital Amaurosis Due toCEP290orNPHP5Mutations: Predictions From Artificial Intelligence
Alexander Sumaroka, Alexandra V. Garafalo, Evelyn P. Semenov, et al.
Investigative Ophthalmology & Visual Science (2019) Vol. 60, Iss. 7, pp. 2551-2551
Open Access | Times Cited: 30
Evolving consensus on managing vitreo-retina and uvea practice in post-COVID-19 pandemic era
Vishali Gupta, Anand Rajendran, Raja Narayanan, et al.
Indian Journal of Ophthalmology (2020) Vol. 68, Iss. 6, pp. 962-962
Open Access | Times Cited: 29
Artificial intelligence applications in different imaging modalities for corneal topography
S. Shanthi, Lokeshwari Aruljyothi, Manohar Babu Balasundaram, et al.
Survey of Ophthalmology (2021) Vol. 67, Iss. 3, pp. 801-816
Closed Access | Times Cited: 24
Leveraging ChatGPT for ophthalmic education: A critical appraisal
Bharat Gurnani, Kirandeep Kaur
European Journal of Ophthalmology (2023) Vol. 34, Iss. 2, pp. 323-327
Open Access | Times Cited: 9
Artificial intelligence as diagnostic modality for keratoconus: A systematic review and meta-analysis
Azzahra Afifah, Fara Syafira, Putri Mahirah Afladhanti, et al.
Journal of Taibah University Medical Sciences (2024) Vol. 19, Iss. 2, pp. 296-303
Open Access | Times Cited: 3
Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data
Mrinalini Bhagawati, Sudip Paul, Laura E. Mantella, et al.
Diagnostics (2024) Vol. 14, Iss. 17, pp. 1894-1894
Open Access | Times Cited: 3
Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography
Yasmine Derradji, Agata Mosinska, Stefanos Apostolopoulos, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 22
Artificial intelligence-powered smartphone application, AICaries, improves at-home dental caries screening in children: Moderated and unmoderated usability test
Nisreen Al Jallad, Oriana Ly-Mapes, Peirong Hao, et al.
PLOS Digital Health (2022) Vol. 1, Iss. 6, pp. e0000046-e0000046
Open Access | Times Cited: 14
Use of Machine Learning to Assess Cataract Surgery Skill Level With Tool Detection
Jessica Ruzicki, Matthew S. Holden, Stephanie Cheon, et al.
Ophthalmology Science (2022) Vol. 3, Iss. 1, pp. 100235-100235
Open Access | Times Cited: 14
Deep learning to detect macular atrophy in wet age-related macular degeneration using optical coherence tomography
Wei Wei, Joshua Southern, Kexuan Zhu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8
Comparative Analysis of Diabetic Retinopathy Classification Approaches Using Machine Learning and Deep Learning Techniques
Ruchika Bala, Arun Sharma, Nidhi Goel
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 919-955
Closed Access | Times Cited: 8
A Systematic Review of Deep Learning Methods Applied to Ocular Images
Oscar Perdómo, Fabio A. González
Ciencia e Ingeniería Neogranadina (2019) Vol. 30, Iss. 1, pp. 9-26
Open Access | Times Cited: 23
Recognition of Ocular Disease Based Optimized VGG-Net Models
Hanaa Salem, Kareem R. Negm, Mahmoud Y. Shams, et al.
Studies in computational intelligence (2021), pp. 93-111
Closed Access | Times Cited: 19
Artificial Intelligence (AI) Applications for Age-Related Macular Degeneration (AMD) and Other Retinal Dystrophies
Tatiana Perepelkina, Anne B. Fulton
Seminars in Ophthalmology (2021) Vol. 36, Iss. 4, pp. 304-309
Closed Access | Times Cited: 18
Considerations for Artificial Intelligence Real-World Implementation in Ophthalmology: Providers' and Patients' Perspectives
Rachel Marjorie Wei Wen Tseng, Dinesh Visva Gunasekeran, Sarah Shwu Huey Tan, et al.
Asia-Pacific Journal of Ophthalmology (2021) Vol. 10, Iss. 3, pp. 299-306
Open Access | Times Cited: 18
Comprehensive management of post‐LASIK ectasia: From prevention to treatment
Liting Zhao, Yewei Yin, Tu Hu, et al.
Acta Ophthalmologica (2023) Vol. 101, Iss. 5, pp. 485-503
Closed Access | Times Cited: 7
Optical coherence tomography angiography in thyroid associated ophthalmopathy: a systematic review
Mohammad Taher Rajabi, Reza Sadeghi, Mohammad Reza Abdol Homayuni, et al.
BMC Ophthalmology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Automatic Detection of Peripheral Retinal Lesions From Ultrawide-Field Fundus Images Using Deep Learning
Yiwen Tang, Jie Ji, Jianwei Lin, et al.
Asia-Pacific Journal of Ophthalmology (2023) Vol. 12, Iss. 3, pp. 284-292
Open Access | Times Cited: 6
Ethics of AI and Health Care: Towards a Substantive Human Rights Framework
S. Matthew Liao
Topoi (2023) Vol. 42, Iss. 3, pp. 857-866
Open Access | Times Cited: 6
Detection of macular atrophy in age-related macular degeneration aided by artificial intelligence
Wei Wei, Rajeevan Anantharanjit, Radhika Pooja Patel, et al.
Expert Review of Molecular Diagnostics (2023) Vol. 23, Iss. 6, pp. 485-494
Open Access | Times Cited: 6
Role of artificial intelligence, machine learning and deep learning models in corneal disorders – A narrative review
Bharat Gurnani, Kirandeep Kaur, VaitheeswaranGanesan Lalgudi, et al.
Journal Français d Ophtalmologie (2024) Vol. 47, Iss. 7, pp. 104242-104242
Closed Access | Times Cited: 2
Bayesian Optimized Machine Learning Model for Automated Eye Disease Classification from Fundus Images
Tasnim Bill Zannah, Md. Abdulla-Hil-Kafi, Md. Alif Sheakh, et al.
Computation (2024) Vol. 12, Iss. 9, pp. 190-190
Open Access | Times Cited: 2

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