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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:

The application of artificial intelligence in glaucoma diagnosis and prediction
Linyu Zhang, Li Tang, Min Xia, et al.
Frontiers in Cell and Developmental Biology (2023) Vol. 11
Open Access | Times Cited: 23

Showing 23 citing articles:

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
Advancing Glaucoma Care: Integrating Artificial Intelligence in Diagnosis, Management, and Progression Detection
Yan Zhu, Rebecca Salowe, Caven Chow, et al.
Bioengineering (2024) Vol. 11, Iss. 2, pp. 122-122
Open Access | Times Cited: 13
Feature subset selection through nature inspired computing for efficient glaucoma classification from fundus images
Law Kumar Singh, Munish Khanna, Rekha Singh
Multimedia Tools and Applications (2024) Vol. 83, Iss. 32, pp. 77873-77944
Closed Access | Times Cited: 13
Deep Learning in Glaucoma Detection and Progression Prediction: A Systematic Review and Meta-Analysis
Xiao Chun Ling, Henry Shen-Lih Chen, Po‐Han Yeh, et al.
Biomedicines (2025) Vol. 13, Iss. 2, pp. 420-420
Open Access
Enhancing Ophthalmic Diagnosis and Treatment with Artificial Intelligence
David B. Olawade, Kusal Weerasinghe, Mathugamage Don Dasun Eranga Mathugamage, et al.
Medicina (2025) Vol. 61, Iss. 3, pp. 433-433
Open Access
Automatic Detection of Glaucoma from Retinal Fundus Images Using Convolutional Neural Network Model, Xception
Smita Das, Madhusudhan Mishra, Swanirbhar Majumder
(2025), pp. 195-204
Closed Access
Artificial intelligence for the detection of glaucoma with SD-OCT images: a systematic review and Meta-analysis
Nannan Shi, Guanghui Liu, Ming-Fang Cao
International Journal of Ophthalmology (2024) Vol. 17, Iss. 3, pp. 408-419
Open Access | Times Cited: 3
Exploring the Impact of Artificial Intelligence on Patient Care: A Comprehensive Review of Healthcare Advancements
Sharmila Nirojini P, K Kanaga, S.V. Devika, et al.
Scholars Academic Journal of Pharmacy (2024) Vol. 13, Iss. 02, pp. 67-81
Open Access | Times Cited: 3
The utilization of artificial intelligence in glaucoma: diagnosis versus screening
Mo’ath AlShawabkeh, Saif Aldeen AlRyalat, Muawyah Al Bdour, et al.
Frontiers in Ophthalmology (2024) Vol. 4
Open Access | Times Cited: 2
Classification of Color Fundus Photographs Using Fusion Extracted Features and Customized CNN Models
Jingzhe Wang, Nan‐Han Lu, Weichang Du, et al.
Healthcare (2023) Vol. 11, Iss. 15, pp. 2228-2228
Open Access | Times Cited: 4
Deep Learning Approach for Differentiating Etiologies of Pediatric Retinal Hemorrhages: A Multicenter Study
Pooya Khosravi, Nolan A. Huck, Kourosh Shahraki, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 20, pp. 15105-15105
Open Access | Times Cited: 4
AI-driven innovations in signal/image processing and data analysis for optical coherence tomography in clinical applications
Danuta M. Sampson, David D. Sampson
Elsevier eBooks (2024), pp. 417-480
Closed Access | Times Cited: 1
Glaucoma Detection Using Convolutional Neural Network
Divya Khichi, Priyanka Jangde, Kamal Kumar Sethi
(2024), pp. 1-8
Closed Access | Times Cited: 1
Glaucoma Identification in Digital Fundus Images using Deep Learning Enhanced Auto Encoder Networks (DL-EAEN) for Accurate Diagnosis
R. Sathya, P. Balamurugan
Indian Journal of Science and Technology (2023) Vol. 16, Iss. 44, pp. 4026-4037
Open Access | Times Cited: 3
Optimized Deep Learning Approach for Efficient Diabetic Retinopathy Classification Combining VGG16-CNN
Heba M. El‐Hoseny, Heba F. Elsepae, Wael A. Mohamed, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 2, pp. 1855-1872
Open Access | Times Cited: 2
Transforming Glaucoma Care with Artificial Intelligence: A Comprehensive Review of Diagnosis, Monitoring, and Treatment Algorithms
Amanda Amberg, Alejandro Espaillat
(2024)
Open Access
Harnessing the power of artificial intelligence for glaucoma diagnosis and treatment
JohnDavis Akkara
Kerala Journal of Ophthalmology (2024) Vol. 36, Iss. 2, pp. 194-199
Open Access
Artificial Intelligence Guided Diagnosis Based on Optical Coherence Tomography Images
Georgiana-Livia Sîrbu, Adriana Albu
IFMBE proceedings (2024), pp. 314-321
Closed Access
Ophthalmological Pathological and Management in Eye Disease: Glaucoma (Diagnosis and Treatment)
S Nicoară, Ana Banc, Ioana Damian, et al.
Clinical ophthalmology (2024), pp. 249-277
Open Access
Convolutional Neural Networks with the ID3 Algorithm: A Hybrid Approach for Accurate Retinal OCT Analysis.
Aziz Makandar, Miss. Nayan Jadhav
International Journal of Advanced Networking and Applications (2024) Vol. 15, Iss. 04, pp. 160-170
Open Access
Batch Size Selection in Convolutional Neural Networks for Glaucoma Classification
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
Procedia Computer Science (2024) Vol. 235, pp. 2749-2755
Open Access
Harnessing Predictive Modelling for Early Diagnosis of Glaucoma
S Birundha, ShruthiB Harish, G Shyam, et al.
(2024) Vol. 12, pp. 1630-1636
Closed Access
Glaucoma Classification Using Deep Learning
Vincent Peter C. Magboo, Ma. Sheila A. Magboo
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) (2023), pp. 309-313
Closed Access
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