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 and Deep Learning in Glaucoma
Dinah Chen, Emma Anran Ran, Ting Fang Tan, et al.
Asia-Pacific Journal of Ophthalmology (2023) Vol. 12, Iss. 1, pp. 80-93
Open Access | Times Cited: 19

Showing 19 citing articles:

Optic neuropathy in high myopia: Glaucoma or high myopia or both?
Xiulan Zhang, Jingwen Jiang, Kangjie Kong, et al.
Progress in Retinal and Eye Research (2024) Vol. 99, pp. 101246-101246
Closed Access | Times Cited: 17

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: 11

Understanding natural language: Potential application of large language models to ophthalmology
Zefeng Yang, Biao Wang, Fengqi Zhou, et al.
Asia-Pacific Journal of Ophthalmology (2024) Vol. 13, Iss. 4, pp. 100085-100085
Open Access | Times Cited: 5

Enhancing glaucoma detection through multi-modal integration of retinal images and clinical biomarkers
Rishikesh Sivakumar, Anita Penkova
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110010-110010
Closed Access

The AI Revolution in Glaucoma: Bridging Challenges with Opportunities
Fei Li, Biao Wang, Zefeng Yang, et al.
Progress in Retinal and Eye Research (2024) Vol. 103, pp. 101291-101291
Closed Access | Times Cited: 4

Deep Learning Evaluation of Glaucoma Detection Using Fundus Photographs in Highly Myopic Populations
Yen-Ying Chiang, Ching‐Long Chen, Yi-Hao Chen
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1394-1394
Open Access | Times Cited: 3

Review of Visualization Approaches in Deep Learning Models of Glaucoma
Byoungyoung Gu, Sophia Sidhu, Robert N. Weinreb, et al.
Asia-Pacific Journal of Ophthalmology (2023) Vol. 12, Iss. 4, pp. 392-401
Open Access | Times Cited: 8

Integrating Deep Learning with Electronic Health Records for Early Glaucoma Detection: A Multi-Dimensional Machine Learning Approach
Alireza Karimi, Ansel Stanik, Cooper Kozitza, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 577-577
Open Access | Times Cited: 2

The Impact of Medical Explainable Artificial Intelligence on Nurses’ Innovation Behaviour: A Structural Equation Modelling Approach
Xianmiao Li, Qilin Zong, Mengting Cheng
Journal of Nursing Management (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1

Artificial intelligence for glaucoma: state of the art and future perspectives
Rafael Correia Barão, Ruben Hemelings, Luis M. G. Abegão, et al.
Current Opinion in Ophthalmology (2023) Vol. 35, Iss. 2, pp. 104-110
Closed Access | Times Cited: 2

A multi-scale convolutional neural network with adaptive weight fusion strategy for assisting glaucoma screening
Xugang Zhang, Mo Shen, Lujiang Zhao, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106775-106775
Closed Access

The current landscape of social determinants of health in glaucoma (nature and nurture)
Shefali Sood, Lama A. Al‐Aswad
Clinical and Experimental Ophthalmology (2024) Vol. 52, Iss. 3, pp. 253-255
Closed Access

Application of artificial intelligence in glaucoma. Part 1. Neural networks and deep learning in glaucoma screening and diagnosis
Н. И. Курышева, Oxana Ye. Rodionova, Alexey L. Pomerantsev, et al.
Russian Annals of Ophthalmology (2024) Vol. 140, Iss. 3, pp. 82-82
Closed Access

The applications of anterior segment optical coherence tomography in glaucoma: a 20-year bibliometric analysis
Yijia Huang, Di Gong, Kuan-Rong Dang, et al.
PeerJ (2024) Vol. 12, pp. e18611-e18611
Open Access

Advancements in high-resolution imaging of the iridocorneal angle
Matthew J. Keller, Thomas J. Gast, Brett J. King
Frontiers in Ophthalmology (2023) Vol. 3
Open Access | Times Cited: 1

A Design of an Effective Methodology to Detect Glaucoma Disease using Intelligent Learning Strategy
D Shobana, G. Akilarasu, J Sangeetha, et al.
2022 8th International Conference on Smart Structures and Systems (ICSSS) (2023), pp. 1-6
Closed Access

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