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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 review of diabetic retinopathy: Datasets, approaches, evaluation metrics and future trends
Dimple Nagpal, Surya Narayan Panda, Muthukumaran Malarvel, et al.
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 9, pp. 7138-7152
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

The multifunctional human ocular melanocortin system
Chieh‐Lin Wu, Adrian V. Cioanca, Maria C. Gelmi, et al.
Progress in Retinal and Eye Research (2023) Vol. 95, pp. 101187-101187
Closed Access | Times Cited: 14
A Lightweight Diabetic Retinopathy Detection Model Using a Deep-Learning Technique
Abdul Rahaman Wahab Sait
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3120-3120
Open Access | Times Cited: 14
The Significant Technical Mantle of AI in the Field of Secular Engineering: an Innovative Design
Jamoldin Djhalolovich Akhmedov, Uktamjon Jurayev, Shakhlokhon Kosimova, et al.
(2024), pp. 601-606
Closed Access | Times Cited: 5
Detecting Fundus Lesions for Diabetic Retinopathy (DR) Analysis
Soumya H. Hooli, Yashaswini S. Murgod, Kaveri S. Haramagatti, et al.
Lecture notes in networks and systems (2025), pp. 261-271
Closed Access
Ensembled Deep Convolutional Generative Adversarial Network for Grading Imbalanced Diabetic Retinopathy Recognition
Huma Naz, Rahul Nijhawan, Neelu Jyothi Ahuja, et al.
IEEE Access (2023) Vol. 11, pp. 120554-120568
Open Access | Times Cited: 11
Towards a Connected Mobile Cataract Screening System: A Future Approach
Wan Mimi Diyana Wan Zaki, Haliza Abdul Mutalib, Laily Azyan Ramlan, et al.
Journal of Imaging (2022) Vol. 8, Iss. 2, pp. 41-41
Open Access | Times Cited: 18
Comparative Analysis of Diabetic Retinopathy Classification Approaches Using Machine Learning and Deep Learning Techniques
Ruchika Bala, Arun Sharma, Nidhi Goel
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 919-955
Closed Access | Times Cited: 8
HDeep: Hierarchical Deep Learning Combination for Detection of Diabetic Retinopathy
Thiago Fernandes de Sousa, Celso Gonçalves Camilo
Procedia Computer Science (2023) Vol. 222, pp. 425-434
Open Access | Times Cited: 7
Diabetic retinopathy: Stressing the function of angiogenesis, inflammation and oxidative stress
Pranay Wal, Ankita Wal, Divyanshi Gupta, et al.
Elsevier eBooks (2024), pp. 323-348
Closed Access | Times Cited: 2
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
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
Revolutionizing healthcare: a comparative insight into deep learning’s role in medical imaging
Vivek Kumar Prasad, Ashwin Verma, Pronaya Bhattacharya, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
OHGCNet: Optimal feature selection-based hybrid graph convolutional network model for joint DR-DME classification
V. Purna Chandra Reddy, Kiran Kumar Gurrala
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103952-103952
Closed Access | Times Cited: 12
Recent developments on computer aided systems for diagnosis of diabetic retinopathy: a review
Shradha Dubey, Manish Dixit
Multimedia Tools and Applications (2022) Vol. 82, Iss. 10, pp. 14471-14525
Open Access | Times Cited: 12
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
AO-HRCNN: archimedes optimization and hybrid region-based convolutional neural network for detection and classification of diabetic retinopathy
Sujatha Krishnamoorthy, YU Wei-feng, Luo Jin, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S1, pp. 483-511
Closed Access | Times Cited: 5
Diabetes Retinopathy Prediction Using Multi-model Hyper Tuned Machine Learning
B. V. Baiju, S. Priyadharshini, S. Haripriya, et al.
Advances in intelligent systems and computing (2022), pp. 961-985
Closed Access | Times Cited: 6
Diabetic Retinopathy: Clinical Features, Risk Factors, and Treatment Options
Sudhanshu Mishra, Pratik Kumar Vishwakarma, Mridani Tripathi, et al.
Current Diabetes Reviews (2023) Vol. 20, Iss. 7
Closed Access | Times Cited: 3
A Datasheet for the INSIGHT Birmingham, Solihull, and Black Country Diabetic Retinopathy Screening Dataset
Aditya U. Kale, Andrew C. Mills, Emily J. Guggenheim, et al.
Ophthalmology Science (2023) Vol. 3, Iss. 3, pp. 100293-100293
Open Access | Times Cited: 2
Preserving sight: Managing and preventing diabetic retinopathy
Mohd Altaf Dar, Mudasir Maqbool, Irfat Ara, et al.
Open Health (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 2
Four Severity Levels for Grading the Tortuosity of a Retinal Fundus Image
Sufian A. Badawi, Maen Takruri, Yaman Albadawi, et al.
Journal of Imaging (2022) Vol. 8, Iss. 10, pp. 258-258
Open Access | Times Cited: 4
Segmentation on OCTA Image of Fundus in vivo based on Attention Module
Fei Ma, Shengbo Wang, Cheng Rong-hua, et al.
(2024), pp. 96-100
Closed Access
A Well Structure for High Voltage DC Architectures for the Purpose of Aircraft: A Deep Comparative Study for Different Design Options
Praveen Kumar Balguri, Saket Gupta, Shruti Aggarwal Socsa, et al.
(2024), pp. 1-6
Closed Access
Insight Retina: A Deep Learning Approach to Diagnose Diabetic Retinopathy
V Akshaya, S Sashank, Goswamy Subhash
(2024), pp. 1-6
Closed Access
A Novel Based Design of AI kind of Models for Gami-Fication in Enhanced Learning type of Environment
Shoira Dusmukhamedova, Feruza Rasulova, Yorkin Shukurov, et al.
(2024), pp. 584-588
Closed Access
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