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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:

Vision Transformer Model for Predicting the Severity of Diabetic Retinopathy in Fundus Photography-Based Retina Images
Waleed Nazih, Ahmad O. Aseeri, Osama Youssef Atallah, et al.
IEEE Access (2023) Vol. 11, pp. 117546-117561
Open Access | Times Cited: 22

Showing 22 citing articles:

ResDenseNet:Hybrid Convolutional Neural Network Model for Advanced Classification of Diabetic Retinopathy(DR) in Retinal Image Analysis
Sashi Kanth Betha
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 6
DRCCT: Enhancing Diabetic Retinopathy Classification with a Compact Convolutional Transformer
Mohamed Touati, Rabeb Touati, Laurent Nana, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 1, pp. 9-9
Open Access
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
Transformer-Based Prediction of Hospital Readmissions for Diabetes Patients
Jorge García-Mosquera, María Villa-Monedero, Manuel Gil-Martín, et al.
Electronics (2025) Vol. 14, Iss. 1, pp. 174-174
Open Access
Eye Diseases Classification Using Transfer Learning Technique of Deep Neural Network
Sheetal J. Nagar, Nikhil Gondaliya
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2025) Vol. 11, Iss. 1, pp. 1247-1257
Open Access
Early Diagnosis of Glaucoma and Diabetic Retinopathy Using Fundus Images Based on Ensemble Approach
Arjun Parthasarathy, Harini Vasu, Dr.U. Palani
Communications in computer and information science (2025), pp. 216-228
Closed Access
Explainable Disease Classification: Exploring Grad-CAM Analysis of CNNs and ViTs
Ali Alqutayfi, Wadha Almattar, Sadam Al-Azani, et al.
Journal of Advances in Information Technology (2025) Vol. 16, Iss. 2, pp. 264-273
Open Access
OcuViT: Automated Detection of Diabetic Retinopathy and AMD Using a Hybrid Vision Transformer Approach
Faisal Ahmed
(2025)
Closed Access
AI explainability in oculomics: how it works, its role in establishing trust, and what still needs to be addressed
Songyang An, Kelvin Yi Chong Teo, Michael V. McConnell, et al.
Progress in Retinal and Eye Research (2025), pp. 101352-101352
Open Access
Diabetic retinopathy detection using supervised and unsupervised deep learning: a review study
Huma Naz, Neelu Jyothi Ahuja, Rahul Nijhawan
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 2
Optical imaging for diabetic retinopathy diagnosis and detection using ensemble models
S. Pavithra, Deepika Jaladi, K. Tamilarasi
Photodiagnosis and Photodynamic Therapy (2024) Vol. 48, pp. 104259-104259
Open Access | Times Cited: 1
Deep Learning-Based Macular Edema Evaluation and Unravelling the Prognostic Landscape for Vision Impairment Risk
A. Venkata Ramana, Bijee Lakshman, R. Sai Lakshmi, et al.
International Journal of Research Publication and Reviews (2024) Vol. 5, Iss. 3, pp. 3761-3767
Open Access
Enhanced Diabetic Retinopathy Diagnosis: A Comparative Analysis of models with an Ensemble classifier and Deep Q Learning
Minakshee Chandankhede
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 2613-2624
Open Access
IoMT enabled diabetic retinopathy segmentation and classification using ensemble efficient net model
Vinodkumar Bhutnal, Nageswara Rao Moparthi
Multimedia Tools and Applications (2024)
Closed Access
ERBVS: Enhanced Retinal Blood Vessel Segmentation using Multiple Modalities and Attention Mechanisms with Adversarial Training and Ensemble Deep Learning Operations
Komal Umare Thool
Research Square (Research Square) (2024)
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
Diabetic retinopathy classification using improved metaheuristics with deep residual network on fundus imaging
R. Ramesh, S. Sathiamoorthy
Multimedia Tools and Applications (2024)
Closed Access
An Efficient AI Based System for the Detection of Diabetic Maculopathy Using Colour Fundus Images
B. Ramasubramanian, S. Dayana Priyadharshini, Sriram Anbalagan, et al.
(2024), pp. 1-8
Closed Access
Vision transformer for detecting ocular diseases
Ali Al‐Naji, Ghaidaa A. Khalid, Mustafa F. Mahmood, et al.
AIP conference proceedings (2024) Vol. 3232, pp. 040035-040035
Closed Access
Efficient Heart Disease Risk Management: A CNN-based Approach for Automated Prediction using Retinal Fundus Image
Ujwalla Gawande, Apurva Jadhao, Om Bhalerao, et al.
(2024), pp. 1-6
Closed Access
Mental Health Diagnosis From Voice Data Using Convolutional Neural Networks and Vision Transformers
Rafiul Islam, Md Taimur Ahad, Faruk Ahmed, et al.
Journal of Voice (2024)
Closed Access
Automated diabetic retinopathy screening in resource-limited areas with attention-enhanced deep learning on fundus images
Sornil A. Binusha, Herobin Rani C. Sheeja, Sheeba I. Rexiline, et al.
i-manager’s Journal on Image Processing (2024) Vol. 11, Iss. 4, pp. 10-10
Closed Access
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