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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:

Artificial intelligence for diabetic retinopathy detection: A systematic review
Archana Senapati, Hrudaya Kumar Tripathy, Vandana Sharma, et al.
Informatics in Medicine Unlocked (2024) Vol. 45, pp. 101445-101445
Open Access | Times Cited: 16

Showing 16 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: 11
Diabetic Retinopathy Detection Using DL‐Based Feature Extraction and a Hybrid Attention‐Based Stacking Ensemble
Sanjana Rajeshwar, Shreya Thaplyal, M. S. Anbarasi, et al.
Advances in Public Health (2025) Vol. 2025, Iss. 1
Open Access
Artificial Intelligence and Machine Learning in Research and Development
Omar Al Jadaan, Omnia Ibrahim Mohamed, Nowar Nizar Al Ani, et al.
IGI Global eBooks (2025), pp. 53-86
Closed Access
Valuable insights into general practice staff's experiences and perspectives on AI-assisted diabetic retinopathy screening—An interview study
M. Krogh, Malene Hentze, Morten Sig Ager Jensen, et al.
Frontiers in Medicine (2025) Vol. 12
Open Access
Real-Time Deep Learning for Multi-Label Retinal Disease Diagnosis with Embedded System
Feudjio Ghislain, Beaudelaire Saha Tchinda, Romain Atangana, et al.
Deleted Journal (2025), pp. 100035-100035
Open Access
Medical image registration in the era of Transformers: A recent review
Hiba Ramadan, Dounia El Bourakadi, Ali Yahyaouy, et al.
Informatics in Medicine Unlocked (2024) Vol. 49, pp. 101540-101540
Open Access | Times Cited: 1
Detection of diabetic retinopathy using artificial intelligence: an exploratory systematic review
Richard Injante, Marck Julca
LatIA (2024) Vol. 2, pp. 112-112
Closed Access | Times Cited: 1
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
Diabetic Retinopathy Prediction Based on a Hybrid Deep Learning Approach
Mohammed Oulhadj, Jamal Riffi, Chaimae Khodriss, et al.
(2024), pp. 1-5
Closed Access
Coping With Methodology for Research in the Age of Artificial Intelligence: A Reader’s Guide to “Prediction of Prostate Cancer Risk Stratification Based on a Nonlinear Transformation Stacking Learning Strategy”
Jin Wook Kim
International Neurourology Journal (2024) Vol. 28, Iss. 1, pp. 1-3
Open Access
CGSX Ensemble: An Integrative Machine Learning and Deep Learning Approach for Improved Diabetic Retinopathy Classification
K. Kayathri, K. Kavitha
International Journal of Electrical and Electronics Research (2024) Vol. 12, Iss. 2, pp. 669-681
Open Access
Modern Approach to Diabetic Retinopathy Diagnostics
Maria Kąpa, Iga Koryciarz, Natalia Kustosik, et al.
Diagnostics (2024) Vol. 14, Iss. 17, pp. 1846-1846
Open Access
Computationally efficient deep learning models for diabetic retinopathy detection: a systematic literature review
Nazeef Ul Haq, Talha Waheed, Kashif Ishaq, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access
Improving Diabetic Retinopathy grading using Feature Fusion for limited data samples
K. Ashwini, Ratnakar Dash
Computers & Electrical Engineering (2024) Vol. 120, pp. 109782-109782
Closed Access
Enhancing Deep Learning Models for Eye Disease Classification
Patil Pallavi Shamrao, Brijendra Gupta
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 31-40
Open Access
Novel Metaheuristic Algorithms and Their Applications to Efficient Detection of Diabetic Retinopathy
M. Hassaballah, Mohamed Abdel Hameed
Journal of Artificial Intelligence and Soft Computing Research (2024) Vol. 15, Iss. 2, pp. 167-195
Open Access
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