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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:

A new convolution neural network model “KR-NET” for retinal fundus glaucoma classification
Kamesh Sonti, Ravindra Dhuli
Optik (2023) Vol. 283, pp. 170861-170861
Closed Access | Times Cited: 10

Showing 10 citing articles:

Automated Tool Support for Glaucoma Identification With Explainability Using Fundus Images
Thisara Shyamalee, Dulani Meedeniya, Gilbert Lim, et al.
IEEE Access (2024) Vol. 12, pp. 17290-17307
Open Access | Times Cited: 30
A systematic review of retinal fundus image segmentation and classification methods using convolutional neural networks
Ademola E. Ilesanmi, Taiwo Ilesanmi, Gbenga A. Gbotoso
Healthcare Analytics (2023) Vol. 4, pp. 100261-100261
Open Access | Times Cited: 24
EYE-YOLO: a multi-spatial pyramid pooling and Focal-EIOU loss inspired tiny YOLOv7 for fundus eye disease detection
Akhil Kumar, R. Dhanalakshmi
International Journal of Intelligent Computing and Cybernetics (2024) Vol. 17, Iss. 3, pp. 503-522
Closed Access | Times Cited: 6
Enhanced Glaucoma Detection Using U-Net and U-Net+ Architectures Using Deep Learning Techniques
Pradeep Kumar, Pramod Rangaiah, Robin Augustine
(2025)
Closed Access
A Lightweight YOLO Model for Detection of Disease from Optic Disc Region of Eye Fundus Imagery
Akhil Kumar, Nitish Katal
Sensing and Imaging (2025) Vol. 26, Iss. 1
Closed Access
Optic Disc Segmentation in Human Retina Images Using a Meta Heuristic Optimization Method and Disease Diagnosis with Deep Learning
Hamida Ali Almeshrky, Abdülkadir Karacı
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5103-5103
Open Access | Times Cited: 1
Multi-GlaucNet: A multi-task model for optic disc segmentation, blood vessel segmentation and glaucoma detection
Haoren Xiong, Fei Long, Mohammad S. Alam, et al.
Biomedical Signal Processing and Control (2024) Vol. 99, pp. 106850-106850
Closed Access | Times Cited: 1
Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Debendra Muduli, Rani Kumari, Adnan Akhunzada, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
A Dual Attention-aided DenseNet-121 for Classification of Glaucoma from Fundus Images
Soham Chakraborty, Ayush Roy, Payel Pramanik, et al.
2022 11th Mediterranean Conference on Embedded Computing (MECO) (2024), pp. 1-4
Open Access
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
Ophthalmic image processing for disease detection
Nora M. El-hales, Fathi E. Abd El‐Samie, Moawad I. Dessouky, et al.
Journal of Optics (2024)
Closed Access
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