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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:

Development of a code-free machine learning model for the classification of cataract surgery phases
Samir Touma, Fares Antaki, Renaud Duval
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Revolutionizing drug formulation development: The increasing impact of machine learning
Zeqing Bao, Jack Bufton, Riley J. Hickman, et al.
Advanced Drug Delivery Reviews (2023) Vol. 202, pp. 115108-115108
Closed Access | Times Cited: 52
A User-friendly Approach for the Diagnosis of Diabetic Retinopathy Using ChatGPT and Automated Machine Learning
S. Saeed Mohammadi, Quan Dong Nguyen
Ophthalmology Science (2024) Vol. 4, Iss. 4, pp. 100495-100495
Open Access | Times Cited: 7
Testing the applicability and performance of Auto ML for potential applications in diagnostic neuroradiology
Manfred Musigmann, Burak Han Akkurt, Hermann Krähling, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24
Fluid-structure interaction in phaco-emulsification based cataract surgery
Zhaokun Wang, Chenglei Wang, Fuwang Zhao, et al.
International Journal of Mechanical Sciences (2024) Vol. 267, pp. 109022-109022
Closed Access | Times Cited: 5
FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images
Nicholas T. Gigliotti, Justin Lee, Emily H. Mang, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0312196-e0312196
Open Access
Artificial Intelligence Applications in Oral Health Imaging
Manal Hamdan, Zaid Badr, Sergio Uribe
(2025), pp. 23-39
Closed Access
Comparing code-free and bespoke deep learning approaches in ophthalmology
Carolyn Yu Tung Wong, Ciara O’Byrne, Priyal Taribagil, et al.
Graefe s Archive for Clinical and Experimental Ophthalmology (2024) Vol. 262, Iss. 9, pp. 2785-2798
Open Access | Times Cited: 4
Artificial Intelligence in Cataract Surgery: A Systematic Review
Simon Müller, Mohit Jain, Bhuvan Sachdeva, et al.
Translational Vision Science & Technology (2024) Vol. 13, Iss. 4, pp. 20-20
Open Access | Times Cited: 4
Use Test of Automated Machine Learning in Cancer Diagnostics
Manfred Musigmann, Nabila Gala Nacul, Dilek N. G. Kasap, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2315-2315
Open Access | Times Cited: 8
Clinician-Driven AI: Code-Free Self-Training on Public Data for Diabetic Retinopathy Referral
Edward Korot, Mariana Batista Gonçalves, Josef Huemer, et al.
JAMA Ophthalmology (2023) Vol. 141, Iss. 11, pp. 1029-1029
Open Access | Times Cited: 8
Development and deployment of a smartphone application for diagnosing trachoma: Leveraging code-free deep learning and edge artificial intelligence
Daniel Milad, Fares Antaki, Marie-Claude Robert, et al.
Saudi Journal of Ophthalmology (2023) Vol. 37, Iss. 3, pp. 200-206
Open Access | Times Cited: 7
Predicting Postoperative Intraocular Lens Dislocation in Cataract Surgery via Deep Learning
Negin Ghamsarian, Doris Putzgruber-Adamitsch, Stephanie Sarny, et al.
IEEE Access (2024) Vol. 12, pp. 21012-21025
Open Access | Times Cited: 2
Automated Machine Learning versus Expert-Designed Models in Ocular Toxoplasmosis: Detection and Lesion Localization Using Fundus Images
Daniel Milad, Fares Antaki, Allison Bernstein, et al.
Ocular Immunology and Inflammation (2024) Vol. 32, Iss. 9, pp. 2061-2067
Closed Access | Times Cited: 2
Development and validation of an automated machine learning model for the multi-class classification of diabetic retinopathy, central retinal vein occlusion and branch retinal vein occlusion based on color fundus photographs
Carolyn Yu Tung Wong, Timing Liu, Tin Lik Wong, et al.
JFO Open Ophthalmology (2024) Vol. 7, pp. 100117-100117
Open Access | Times Cited: 2
From Code to Clots: Applying Machine Learning to Clinical Aspects of Venous Thromboembolism Prevention, Diagnosis, and Management
Pavlina Chrysafi, Barbara D. Lam, Saskia Carton, et al.
Hämostaseologie (2024) Vol. 44, Iss. 06, pp. 429-445
Closed Access | Times Cited: 2
COVID-19 Classification from X-Ray Images: An Approach to Implement Federated Learning on Decentralized Dataset
Ali Akbar Siddique, Syed Muhammad Umar Talha, Mr. Aamir, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 2, pp. 3883-3901
Open Access | Times Cited: 6
MBT: Model-Based Transformer for retinal optical coherence tomography image and video multi-classification
Badr Ait Hammou, Fares Antaki, Marie-Carole Boucher, et al.
International Journal of Medical Informatics (2023) Vol. 178, pp. 105178-105178
Closed Access | Times Cited: 5
Detection of dental restorations using no-code artificial intelligence
Manal Hamdan, Zaid Badr, Jennifer Bjork, et al.
Journal of Dentistry (2023) Vol. 139, pp. 104768-104768
Closed Access | Times Cited: 4
Performance of Automated Machine Learning in Predicting Outcomes of Pneumatic Retinopexy
Arina Nisanova, Arefeh Yavary, Jordan D. Deaner, et al.
Ophthalmology Science (2024) Vol. 4, Iss. 5, pp. 100470-100470
Open Access | Times Cited: 1
Comparing code-free deep learning models to expert-designed models for detecting retinal diseases from optical coherence tomography
Samir Touma, Badr Ait Hammou, Fares Antaki, et al.
International Journal of Retina and Vitreous (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
Managing a patient with uveitis in the era of artificial intelligence: Current approaches, emerging trends, and future perspectives
William Rojas‐Carabali, Carlos Cifuentes‐González, Laura Gutiérrez-Sinisterra, et al.
Asia-Pacific Journal of Ophthalmology (2024) Vol. 13, Iss. 4, pp. 100082-100082
Open Access | Times Cited: 1
Deep learning for ultra-widefield imaging: a scoping review
Nishaant Bhambra, Fares Antaki, Farida El Malt, et al.
Graefe s Archive for Clinical and Experimental Ophthalmology (2022) Vol. 260, Iss. 12, pp. 3737-3778
Open Access | Times Cited: 5
Diagnosing Cataracts in the Digital Age: A Survey on AI, Metaverse, and Digital Twin Applications
Aida Jones, T. Vijayan, Sheila John
Seminars in Ophthalmology (2024), pp. 1-8
Closed Access
Application of Artificial Intelligence in the Diagnosis, Follow-Up and Prediction of Treatment of Ophthalmic Diseases
Jinwei Yu, Fuqiang Li, Mingzhu Liu, et al.
Seminars in Ophthalmology (2024), pp. 1-9
Closed Access
A multivocal literature review on the benefits and limitations of industry-leading AutoML tools
Luigi Quaranta, Kelly Azevedo, Fabio Calefato, et al.
Information and Software Technology (2024), pp. 107608-107608
Closed Access
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