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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:

An automated unsupervised deep learning–based approach for diabetic retinopathy detection
Huma Naz, Rahul Nijhawan, Neelu Jyothi Ahuja
Medical & Biological Engineering & Computing (2022) Vol. 60, Iss. 12, pp. 3635-3654
Closed Access | Times Cited: 10

Showing 10 citing articles:

Classification of Diabetic Retinopathy Severity Using Deep Learning Techniques on Retinal Images
A. Aruna Kumari, Avinash Bhagat, Santosh Kumar Henge
Cybernetics & Systems (2024), pp. 1-25
Closed Access | Times Cited: 4
MHSAGGCN-BCOA: A novel deep learning based approach for diabetic retinopathy detection
M. Bindu Priya, D. Manoj Kumar
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107569-107569
Closed Access
Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis
Zoubin Bi, Jinju Li, Q Liu, et al.
Frontiers in Endocrinology (2025) Vol. 16
Open Access
Unveiling the veil: high-frequency components as the key to understanding medical DNNs’ vulnerability to adversarial examples
Yaguan Qian, Renhui Tao, Huabin Du, et al.
Cybersecurity (2025) Vol. 8, Iss. 1
Open Access
An Improved Robust Fuzzy Local Information K-Means Clustering Algorithm for Diabetic Retinopathy Detection
Huma Naz, Tanzila Saba, Faten S. Alamri, et al.
IEEE Access (2024) Vol. 12, pp. 78611-78623
Open Access | Times Cited: 2
Application of Artificial Intelligence for Classification, Segmentation, Early Detection, Early Diagnosis, and Grading of Diabetic Retinopathy from Fundus Retinal Images: A Comprehensive Review
G.Kalaimathi Priya S.Rajarajeshwari, G. Chemmalar Selvi
IEEE Access (2024) Vol. 12, pp. 172499-172536
Open Access | Times Cited: 1
Evaluating the efficacy of AI systems in diabetic retinopathy detection: A comparative analysis of Mona DR and IDx‐DR
Andrzej Grzybowski, Freya Peeters, Rafael Correia Barão, et al.
Acta Ophthalmologica (2024)
Closed Access | Times Cited: 1
Diabetic Retinopathy Detection based on LBP and Statistical Features using Machine Learning
Imtiyaz Ahmad, Vibhav Prakash Singh, Manoj Madhava Gore
(2023), pp. 1-6
Closed Access | Times Cited: 3
Diabetic retinopathy detection through generative AI techniques: A review
Vipin Bansal, Amit Jain, Navpreet Kaur Walia
Results in Optics (2024) Vol. 16, pp. 100700-100700
Open Access
A Novel Automated System for Early Diabetic Retinopathy Detection and Severity Classification
Santoshkumar S Ainapur, Virupakshappa Patil
Journal of Chemometrics (2024) Vol. 38, Iss. 11
Open Access
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