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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:

Deep Learning for Diabetic Retinopathy Analysis: A Review, Research Challenges, and Future Directions
Muhammad Waqas Nadeem, Hock Guan Goh, Muzammil Hussain, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6780-6780
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review
Sunday Adeola Ajagbe, Matthew O. Adigun
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 5893-5927
Open Access | Times Cited: 66
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: 15
Automated diabetic retinopathy screening using deep learning
Sarra Guefrachi, Amira Echtioui, Habib Hamam
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65249-65266
Closed Access | Times Cited: 14
Transfer Learning for Diabetic Retinopathy Detection: A Study of Dataset Combination and Model Performance
A. M. Mutawa, Shahad Alnajdi, Sai Sruthi
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5685-5685
Open Access | Times Cited: 19
Machine Learning Techniques for Automatic Diagnosis of Glaucoma Detection
P. Ramkumar, C. Sivaprakash
Advances in healthcare information systems and administration book series (2025), pp. 137-150
Closed Access
Advancements in Diabetic Retinopathy Detection Using Deep Learning
Sonia Sarmah, Manasi Hazarika, Pranab K. Das, et al.
Studies in computational intelligence (2025), pp. 91-117
Closed Access
EfficientNetV2 Based Ensemble Model for Quality Estimation of Diabetic Retinopathy Images from DeepDRiD
Sudhakar Tummala, Venkata Sainath Gupta Thadikemalla, Seifedine Kadry, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 622-622
Open Access | Times Cited: 10
Machine learning for antidepressant treatment selection in depression
Prehm I.M. Arnold, Joost Janzing, Arjen Hommersom
Drug Discovery Today (2024) Vol. 29, Iss. 8, pp. 104068-104068
Open Access | Times Cited: 3
Performance of artificial intelligence in diabetic retinopathy screening: a systematic review and meta-analysis of prospective studies
Zhibin Wang, Zhaojin Li, Kunyue Li, et al.
Frontiers in Endocrinology (2023) Vol. 14
Open Access | Times Cited: 7
Fully Automated Skull Stripping from Brain Magnetic Resonance Images Using Mask RCNN-Based Deep Learning Neural Networks
Humera Azam, Humera Tariq, Danish Shehzad, et al.
Brain Sciences (2023) Vol. 13, Iss. 9, pp. 1255-1255
Open Access | Times Cited: 7
Detection of diabetic retinopathy and age-related macular degeneration using DenseNet based neural networks
Manpinder Singh, Saiba Dalmia, Ranjeet Kumar Ranjan
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Assessing the Impact of Image Quality on Deep Learning Classification of Infectious Keratitis
Xiaodong Zhang, N. Venkatesh Prajna, Prajna Lalitha, et al.
Ophthalmology Science (2023) Vol. 3, Iss. 4, pp. 100331-100331
Open Access | Times Cited: 5
Diabetic Retinopathy Detection & Classification using Efficient Net Model
Ishika Giroti, Jeevan Kumar A Das, N Harshith, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
Recent advances in the use of optical coherence tomography in neuro‐ophthalmology: A review
Jasmine Yaowei Ge, Zhen Ling Teo, Jing Liang Loo
Clinical and Experimental Ophthalmology (2024) Vol. 52, Iss. 2, pp. 220-233
Open Access | Times Cited: 1
Advanced Detection of Diabetic Retinopathy: Employing Hybrid Deep Neural Networks and Multi-Scale Image Analysis Techniques
A. M. Mutawa, G. R. Hemalakshmi, N. B. Prakash, et al.
(2024)
Open Access | Times Cited: 1
Classification of diabetic retinopathy severity level using deep learning
Santhi Durairaj, S. Parvathi, Carmel Sobia Micheal Swamy
International Journal of Diabetes in Developing Countries (2024) Vol. 44, Iss. 3, pp. 592-598
Closed Access | Times Cited: 1
Autonomous artificial intelligence versus teleophthalmology for diabetic retinopathy
Donatella Musetti, Carlo Alberto Cutolo, Monica Bonetto, et al.
European Journal of Ophthalmology (2024)
Closed Access | Times Cited: 1
Explainable Artificial Intelligence in Deep Learning Neural Nets-Based Digital Images Analysis
Alexey N. Averkin, Egor N. Volkov, Sergey Yarushev
Journal of Computer and Systems Sciences International (2024) Vol. 63, Iss. 1, pp. 175-203
Closed Access | Times Cited: 1
Explainable artificial intelligence in deep learning neural nets-based digital images analysis
Alexey N. Averkin, Egor N. Volkov, Sergey Yarushev
Известия Российской академии наук Теория и системы управления (2024), Iss. 1, pp. 150-178
Closed Access | Times Cited: 1
Deep neural network model for diagnosing diabetic retinopathy detection: An efficient mechanism for diabetic management
Dharmalingam Muthusamy, Parimala Palani
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107035-107035
Closed Access | Times Cited: 1
Automatic Detection of Microaneurysms in Fundus Images Using an Ensemble-Based Segmentation Method
Vidas Raudonis, A. Kairys, Rasa Verkauskienė, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3431-3431
Open Access | Times Cited: 4
Applications of Deep Learning algorithms for retinal diseases diagnosis based on Optical Coherence Tomography imaging
Elena-Anca Paraschiv
(2023) Vol. 172, pp. 594-597
Closed Access | Times Cited: 3
Diabetic Retinopathy Classification using Vision Transformer
A. M. Mutawa, Sai Sruthi
(2022)
Closed Access | Times Cited: 5
The Role of Deep Learning in Diagnosis and Grading of Diabetic Retinopathy: A Review
Samarpit Minz, Saarthak Seth, Sarvesh Tiwari, et al.
(2023), pp. 1-9
Closed Access | Times Cited: 2
Detecting Diabetic Retinopathy using ResNet50 and Explainable AI
Shruti Tyagi, Shriya Pingulkar, Aryaman Tiwary
(2023)
Closed Access | Times Cited: 2
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