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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:

Internet of Things and Deep Learning Enabled Diabetic Retinopathy Diagnosis Using Retinal Fundus Images
Thangam Palaniswamy, Mahendiran Vellingiri
IEEE Access (2023) Vol. 11, pp. 27590-27601
Open Access | Times Cited: 18

Showing 18 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
Gradient-Weighted Class Activation Mapping Based Deep Transfer Learning For Glaucoma Disease Prediction
Z. Abdul Basith, Mai Ibrahim
Research Square (Research Square) (2025)
Closed Access
Retinopathy Disease Detection and Classification Using a Coordinate Attention Module-Based Convolutional Neural Network with Leaky Rectified Linear Unit
Pravin Balaso Chopade, Prabhakar N. Kota, B. D. Jadhav, et al.
IIUM Engineering Journal (2025) Vol. 26, Iss. 1, pp. 129-147
Open Access
GViT-RSNet: A retinal vessel segmentation network using graph convolutional attention and multi-scale vision transformer
Jiayao Li, Qianxiang Cheng, Chenxi Wu
Pattern Recognition Letters (2025)
Closed Access
Performance and limitation of machine learning algorithms for diabetic retinopathy screening and its application in health management: a meta-analysis
Mehrsa Moannaei, Faezeh Jadidian, Tahereh Doustmohammadi, et al.
BioMedical Engineering OnLine (2025) Vol. 24, Iss. 1
Open Access
Research Progress and Prospects of Intelligent Diabetes Monitoring Systems: A Review
Yuanyuan Zou, Zhengkang Chu, Tongyan Yang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 23401-23435
Closed Access | Times Cited: 3
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: 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
Exploring Deep Learning Methods for Diabetic Retinopathy Detection and Classification
Minnu C Tomy, C. Malathy
(2024), pp. 1-6
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
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
Detection of Diabetic Retinopathy Using Deep Learning
A. Sabo, Muhammadul Habib Bn Umar, Swati Sah, et al.
Cureus Journal of Computer Science. (2024)
Open Access
Detection of Diabetic Retinopathy Using Deep Learning
A. Sabo, Muhammadul Habib Bn Umar, Swati Sah, et al.
Cureus Journal of Computer Science. (2024)
Open Access
Renyi-Entropy based Cascaded Classifier for Diabetic Retinopathy Detection using Retinal Fundus Images
Archana S. Thorat
Journal of Networking and Communication Systems (JNACS) (2023) Vol. 6, Iss. 1, pp. 17-34
Open Access
Preprocessing, Feature Extraction, and Classification Methodologies on Diabetic Retinopathy Using Fundus Images
Veerendra Basreddy, Sachinkumar Veerashetty
(2023), pp. 1-6
Closed Access
Machine Learning-Enabled Medical Image Analysis for Disease Detection in the Cloud
Ramchandra Mahadik, Arun Shrirang Pawar, Deepak Ishwarappa Navalgund, et al.
(2023), pp. 1-6
Closed Access
Algorithmic Insights into Predicting Hypertension Using Health Data in Cloud-Based Environments
Arun Shrirang Pawar, Ramchandra Mahadik, Shreyas Dingankar, et al.
(2023), pp. 1-6
Closed Access
Enhancing Diabetic Retinopathy Screening with Sequential Deep Learning Models
Vankadari Mohith, Kalpana Raja, I. R. Oviya
(2023), pp. 859-864
Closed Access
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