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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:

Hybrid deep learning approaches for the detection of diabetic retinopathy using optimized wavelet based model
B. Venkaiahppalaswamy, PVGD Prasad Reddy, Suresh Batha
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104146-104146
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 82
Diabetic retinopathy detection and severity classification using optimized deep learning with explainable AI technique
B. Lalithadevi, S. Krishnaveni
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 9
Hybrid deep learning framework for diabetic retinopathy classification with optimized attention AlexNet
D. S. Renu, Keiichi Saji
Computers in Biology and Medicine (2025) Vol. 190, pp. 110054-110054
Closed Access
Deep learning hybrid model ECG classification using AlexNet and parallel dual branch fusion network model
Manjur Kolhar, Ahmed M. Al Rajeh
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Hybrid model of feature-driven modular neural network–based grasshopper optimization algorithm for diabetic retinopathy classification using fundus images
Deva Durai, T. Jaya
Medical & Biological Engineering & Computing (2025)
Closed Access
Segmentation Using the IC2T Model and Classification of Diabetic Retinopathy Using the Rock Hyrax Swarm-Based Coordination Attention Mechanism
B. N. Jagadesh, M. Karthik, Dharmapuri Siri, et al.
IEEE Access (2023) Vol. 11, pp. 124441-124458
Open Access | Times Cited: 10
Enhancing multi-class diabetic retinopathy detection using tuned hyper-parameters and modified deep transfer learning
Yeganeh Modaresnia, Farhad Abedinzadeh Torghabeh, Seyyed Abed Hosseini
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 81455-81476
Closed Access | Times Cited: 2
Machine Learning Techniques used for Recognizing the Diabetic Retinopathy: A Survey
Mr. Kundan. B, S. Pushpa
International Journal of Engineering Technology and Management Sciences (2024) Vol. 8, Iss. 2, pp. 108-116
Open Access | Times Cited: 2
An optimized deep-learning algorithm for the automated detection of diabetic retinopathy
A. Rafega Beham, V. Thanikaiselvan
Soft Computing (2023)
Closed Access | Times Cited: 5
DFCAFNet: Dual-feature co-attentive fusion network for diabetic retinopathy grading
Sandeep Madarapu, Samit Ari, Kamalakanta Mahapatra
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106564-106564
Closed Access | Times Cited: 1
Predictive Modelling of Diabetes Complications: Insights from Binary Classifier on Chronic Diabetic Mellitus
Smita Panigrahy, Sachikanta Dash, Sasmita Padhy, et al.
(2024), pp. 1912-1920
Closed Access | Times Cited: 1
Convolutional auto-encoder and discrete wavelet transform for lossy region-based medical image compression
Dalila Chikhaoui, Mohammed Beladgham, Mohamed Benaissa
STUDIES IN ENGINEERING AND EXACT SCIENCES (2024) Vol. 5, Iss. 3, pp. e12578-e12578
Closed Access | Times Cited: 1
Advance Detection of Diabetic Retinopathy: Deep Learning Approach
Ankur Biswas, Rita Banik
Communications in computer and information science (2023), pp. 64-77
Closed Access | Times Cited: 3
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
Evaluation of Convolution Neural Network Models Using Clinical Datasets
Shikha Prasher, Leema Nelson, Avinash Sharma
Lecture notes in networks and systems (2023), pp. 253-265
Closed Access | Times Cited: 2
Estimating Risk Levels and Epidemiology of Diabetic Retinopathy using Transfer Learning
Ankur Biswas, Rita Banik
(2023), pp. 287-292
Closed Access | Times Cited: 2
Diabetic Retinopathy Detection using Deep Learning
Deepak Mane
Deleted Journal (2024) Vol. 19, Iss. 2, pp. 18-27
Open Access
BOISO: Weight optimized U-Net architecture for segmentation of hyperspectral image
I. Bhuvaneshwarri, Andrzej Stateczny, Aruna Kumari Kokku, et al.
Research Square (Research Square) (2024)
Open Access
A Review: Diagnosis of Diabetic Retinopathy by using Machine Learning & Deep Learning Techniques
Mr. Kundan. B, S. Pushpa, V. Vidhya, et al.
International Journal of Engineering Technology and Management Sciences (2024) Vol. 8, Iss. 3, pp. 28-37
Open Access
A Study on the Patients Effected with Diabetic Retinopathy
Mr. Kundan. B, S. Pushpa
Deleted Journal (2024) Vol. 2, Iss. 05, pp. 1518-1524
Open Access
Precise detection of diabetic retinopathy using adaptive remora optimization algorithm with deep adversarial approach
Sambit S Mondal, Nirupama Mandal, Krishna Kant Singh
Multimedia Tools and Applications (2024)
Closed Access
Data-driven 2D-EWT based diabetic retinopathy identification using hybrid neural network
Amit Rawat, Maheshwari Prasad Singh, Rishi Raj Sharma
Image and Vision Computing (2024) Vol. 150, pp. 105194-105194
Closed Access
Detection of diabetic retinopathy using deep learning methods
Bilal A. Ozturk, Heba Emad Namiq, Hussein Ali Rasool, et al.
Intelligent Decision Technologies (2024), pp. 1-18
Closed Access
Diabetic Retinopathy Grading based on Multi-Scale Residual Network and Cross-Attention Module
Atul Kumar Singh, Sandeep Madarapu, Samit Ari
Digital Signal Processing (2024), pp. 104888-104888
Closed Access
Disseminating the Risk Factors With Enhancement in Precision Medicine Using Comparative Machine Learning Models for Healthcare Data
A. Sheik Abdullah, V. Naga Pranava Shashank, D. Altrin Lloyd Hudson
IEEE Access (2024) Vol. 12, pp. 72794-72812
Open Access
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