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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 natural language processing in ophthalmology: present and future
Jimmy Chen, Sally L. Baxter
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 21

Showing 21 citing articles:

Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology
Ting Fang Tan, Arun James Thirunavukarasu, J. Peter Campbell, et al.
Ophthalmology Science (2023) Vol. 3, Iss. 4, pp. 100394-100394
Open Access | Times Cited: 56
Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science
Chiranjib Chakraborty, Soumen Pal, Manojit Bhattacharya, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 56
Evaluating large language models for use in healthcare: A framework for translational value assessment
Sandeep Reddy
Informatics in Medicine Unlocked (2023) Vol. 41, pp. 101304-101304
Open Access | Times Cited: 45
Utility of artificial intelligence‐based large language models in ophthalmic care
Sayantan Biswas, Leon N. Davies, Amy L. Sheppard, et al.
Ophthalmic and Physiological Optics (2024) Vol. 44, Iss. 3, pp. 641-671
Open Access | Times Cited: 30
ChatGPT and Beyond: An overview of the growing field of large language models and their use in ophthalmology
Nikita Kedia, Suvansh Sanjeev, Joshua Ong, et al.
Eye (2024) Vol. 38, Iss. 7, pp. 1252-1261
Closed Access | Times Cited: 18
Application and accuracy of artificial intelligence-derived large language models in patients with age related macular degeneration
Lorenzo Ferro Desideri, Janice Roth, Martin S. Zinkernagel, et al.
International Journal of Retina and Vitreous (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 18
Exploring large language model for next generation of artificial intelligence in ophthalmology
Kai Jin, Yuan Lu, Hongkang Wu, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 12
Artificial intelligence in perinatal mental health research: A scoping review
Wai Hang Kwok, Yuanpeng Zhang, Guanjin Wang
Computers in Biology and Medicine (2024) Vol. 177, pp. 108685-108685
Open Access | Times Cited: 4
Analysis of ChatGPT Responses to Ophthalmic Cases: Can ChatGPT Think Like an Ophthalmologist?
Jimmy Chen, Akshay J Reddy, Eman Al-Sharif, et al.
Ophthalmology Science (2024) Vol. 5, Iss. 1, pp. 100600-100600
Open Access | Times Cited: 4
The Role of Natural Language Processing in Graduate Medical Education: A Scoping Review
Ravi Janumpally
Cureus (2025)
Open Access
Personalized Care in Eye Health: Exploring Opportunities, Challenges, and the Road Ahead for Chatbots
Mantapond Ittarat, Wisit Cheungpasitporn, Sunee Chansangpetch
Journal of Personalized Medicine (2023) Vol. 13, Iss. 12, pp. 1679-1679
Open Access | Times Cited: 12
Optimizing the Clinical Direction of Artificial Intelligence With Health Policy: A Narrative Review of the Literature
Mohit Lakkimsetti, Swati G Devella, Keval B Patel, et al.
Cureus (2024)
Open Access | Times Cited: 3
Assessing large language models’ accuracy in providing patient support for choroidal melanoma
Rodrigo Anguita, Catriona Downie, Lorenzo Ferro Desideri, et al.
Eye (2024) Vol. 38, Iss. 16, pp. 3113-3117
Closed Access | Times Cited: 3
Using Natural Language Processing to Identify Different Lens Pathology in Electronic Health Records
Joshua D. Stein, Yunshu Zhou, Chris Andrews, et al.
American Journal of Ophthalmology (2024) Vol. 262, pp. 153-160
Closed Access | Times Cited: 2
Automated Recognition of Visual Acuity Measurements in Ophthalmology Clinical Notes Using Deep Learning
Isaac A. Bernstein, Abigail Koornwinder, Hannah H. Hwang, et al.
Ophthalmology Science (2023) Vol. 4, Iss. 2, pp. 100371-100371
Open Access | Times Cited: 4
Enablers for Implementing Big Data Analytics in the Healthcare Industry: Prioritization, Classification, and Implications for Sustainable Competitive Advantages
Anish Aman, Himanshu Gupta, Manjeet Kharub, et al.
IEEE Transactions on Engineering Management (2024) Vol. 71, pp. 11565-11584
Closed Access | Times Cited: 1
Artificial Intelligence and Ophthalmic Clinical Registries
Luke Tran, Himal Kandel, Daliya Sari, et al.
American Journal of Ophthalmology (2024) Vol. 268, pp. 263-274
Open Access | Times Cited: 1
Application of artificial intelligence in glaucoma care: An updated review
Jo‐Hsuan Wu, Shan C. Lin, Sasan Moghimi
Taiwan Journal of Ophthalmology (2024) Vol. 14, Iss. 3, pp. 340-351
Open Access | Times Cited: 1
Improving the Identification of Diabetic Retinopathy and Related Conditions in the Electronic Health Record Using Natural Language Processing Methods
Keith Harrigian, Diep Tran, Tina Tang, et al.
Ophthalmology Science (2024) Vol. 4, Iss. 6, pp. 100578-100578
Open Access
Evaluation of Sociomedical Factors on Corneal Donor Recovery Using Machine Learning
Wuqaas M. Munir, Saleha Z. Munir
Ophthalmic Epidemiology (2024), pp. 1-8
Closed Access
Enhancing Thyroid Pathology With Artificial Intelligence: Automated Data Extraction From Electronic Health Reports Using RUBY
Dorian Culié, Renaud Schiappa, Sara Contu, et al.
JCO Clinical Cancer Informatics (2024), Iss. 8
Closed Access
Implementing a Data Integration Infrastructure for Healthcare Data – A Case Study
Bruno Oliveira, Miguel Mira, Stephanie Monteiro, et al.
Lecture notes in networks and systems (2023), pp. 744-753
Closed Access
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