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:

Diabetic retinopathy detection using convolutional neural network with residual blocks
Rajasekhar Kommaraju, M.S. Anbarasi
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105494-105494
Closed Access | Times Cited: 10

Showing 10 citing articles:

Deep Learning in Automatic Diabetic Retinopathy Detection and Grading Systems: A Comprehensive Survey and Comparison of Methods
Israa Y. AbuShawish, Sudipta Modak, Esam Abdel‐Raheem, et al.
IEEE Access (2024) Vol. 12, pp. 84785-84802
Open Access | Times Cited: 8

ResViT FusionNet Model: An explainable AI-driven approach for automated grading of diabetic retinopathy in retinal images
Amna Ikram, Azhar Imran
Computers in Biology and Medicine (2025) Vol. 186, pp. 109656-109656
Closed Access

Automated dual CNN-based feature extraction with SMOTE for imbalanced diabetic retinopathy classification
Danyal Badar, Chengliang Wang, Mahmood Ashraf, et al.
Image and Vision Computing (2025), pp. 105537-105537
Closed Access

Deep multi-view feature fusion with data augmentation for improved diabetic retinopathy classification
Yaakoub Boualleg, Kheir Eddine Daouadi, Oussama Guehairia, et al.
Journal of Intelligent Systems (2025) Vol. 34, Iss. 1
Open Access

VisionGuard: enhancing diabetic retinopathy detection with hybrid deep learning
Sudesh Rao, Sudesh Rao, Sanjeev D Kulkarni, et al.
Expert Review of Medical Devices (2025)
Closed Access

HFF-Net: A hybrid convolutional neural network for diabetic retinopathy screening and grading
Muhammad Hassaan Ashraf, Hamed A. Alghamdi
Biomedical Technology (2024) Vol. 8, pp. 50-64
Closed Access | Times Cited: 1

Deep learning ensemble framework for multiclass diabetic retinopathy classification
Mudit Saxena, Pratap Narra, Mayank Saxena, et al.
TELKOMNIKA (Telecommunication Computing Electronics and Control) (2024) Vol. 22, Iss. 3, pp. 665-665
Open Access

Detection of Diabetic Retinopathy (DR) Severity from Fundus Photographs using Conv-ViT
Dheeraj Chintamreddy, Usha Rani Seshasayee
(2024), pp. 1-6
Closed Access

Detection of Diabetic Retinopathy (DR) Severity from Fundus Photographs using Swin Transformer
Rajasekhar Kommaraju, M. S. Anbarasi
(2023), pp. 1-6
Closed Access

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