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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:

Detection of Diabetic Eye Disease from Retinal Images Using a Deep Learning Based CenterNet Model
Tahira Nazir, Marriam Nawaz, Junaid Rashid, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5283-5283
Open Access | Times Cited: 97

Showing 1-25 of 97 citing articles:

A Survey on Deep-Learning-Based Diabetic Retinopathy Classification
Anila Sebastian, Omar Elharrouss, Somaya Al‐Maadeed, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 345-345
Open Access | Times Cited: 48
A deep neural network and machine learning approach for retinal fundus image classification
Rohit M. Thanki
Healthcare Analytics (2023) Vol. 3, pp. 100140-100140
Open Access | Times Cited: 47
An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction
Junaid Rashid, Saba Batool, Jungeun Kim, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 58
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network
Marriam Nawaz, Tahira Nazir, Momina Masood, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 6, pp. 2137-2153
Closed Access | Times Cited: 54
Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images
Malliga Subramanian, Sandeep Kumar Mathivanan, V E Sathishkumar, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 51
CXray-EffDet: Chest Disease Detection and Classification from X-ray Images Using the EfficientDet Model
Marriam Nawaz, Tahira Nazir, Jamel Baili, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 248-248
Open Access | Times Cited: 33
Deep Learning Approach for Stages of Severity Classification in Diabetic Retinopathy Using Color Fundus Retinal Images
Silky Goel, Siddharth Gupta, Avnish Panwar, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-8
Open Access | Times Cited: 42
A Novel Technique for Handwritten Digit Recognition Using Deep Learning
Syed Sohail Ahmed, Zahid Mehmood, Imran Ahmad Awan, et al.
Journal of Sensors (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 16
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
Advancing Early Leukemia Diagnostics: A Comprehensive Study Incorporating Image Processing and Transfer Learning
Rezaul Haque, Abdullah Al Sakib, Md. Forhad Hossain, et al.
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 966-991
Open Access | Times Cited: 4
A review of convolutional neural network based methods for medical image classification
Chao Chen, Nor Ashidi Mat Isa, Xin Liu
Computers in Biology and Medicine (2024) Vol. 185, pp. 109507-109507
Closed Access | Times Cited: 4
Classification of diabetic retinopathy grades using CNN feature extraction to segment the lesion
M. Swathi, S. Venkata Lakshmi
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 4
Performance Analysis of Deep Learning Models in Detection and Counting of Bees for Hive Monitoring
James Alfred Baluran, Dan Lloyd Lomongo, Ivant Fred Ondoy, et al.
Studies in computational intelligence (2025), pp. 55-74
Closed Access
A Comprehensive Review on Biomedical Image Classification using Deep Learning Models
Mohamed Tounsi, Erahid Aram, Ahmad Taher Azar, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 1, pp. 19538-19545
Open Access
AdaptiveSwin-CNN: Adaptive Swin-CNN Framework with Self-Attention Fusion for Robust Multi-Class Retinal Disease Diagnosis
Imran Qureshi
AI (2025) Vol. 6, Iss. 2, pp. 28-28
Open Access
Advancing Ocular Health: Deep Learning Technologies in Eye Disease Classification
Anunya Sharma, Shweta Sahu, Himanshu Mittal, et al.
(2025), pp. 220-231
Closed Access
Utilizing Machine Learning Algorithms for Predictive Analysis of Diabetes
Mehroush Banday, Sherin Zafar, Parul Agarwal, et al.
Smart innovation, systems and technologies (2025), pp. 491-507
Closed Access
Machine Learning Based Prediction of Retinopathy Diseases Using Segmented Retinal Images
Sushil Kumar Saroj, Rakesh Kumar, N. P. Singh
ADCAIJ ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL (2025) Vol. 14, pp. e31737-e31737
Open Access
Diabetic Retinopathy Grade Assessment Using ResNetRS
Yahia Bouslimi, Dhia Elhak Bouslimi, Afef Kacem Echi, et al.
Communications in computer and information science (2025), pp. 130-140
Closed Access
An Efficient Approach to Predict Eye Diseases from Symptoms Using Machine Learning and Ranker-Based Feature Selection Methods
Ahmed Al Marouf, Md Mozaharul Mottalib, Reda Alhajj, et al.
Bioengineering (2022) Vol. 10, Iss. 1, pp. 25-25
Open Access | Times Cited: 19
Analysis of Deep Learning Techniques for Prediction of Eye Diseases: A Systematic Review
Akanksha Bali, Vibhakar Mansotra
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 487-520
Closed Access | Times Cited: 12
A Deep Learning based Scalable and Adaptive Feature Extraction Framework for Medical Images
Zainab Loukil, Qublai Khan Ali Mirza, Will Sayers, et al.
Information Systems Frontiers (2023) Vol. 26, Iss. 4, pp. 1279-1305
Open Access | Times Cited: 11
Automatic classification of retinal diseases with transfer learning-based lightweight convolutional neural network
Zhenzhen Lu, Jingpeng Miao, Jingran Dong, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104365-104365
Closed Access | Times Cited: 17
Diabetic Retinopathy and Diabetic Macular Edema Detection Using Ensemble Based Convolutional Neural Networks
Swaminathan Sundaram, Meganathan Selvamani, Sekar Kidambi Raju, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 1001-1001
Open Access | Times Cited: 10
A bibliometric analysis of artificial intelligence applications in macular edema: exploring research hotspots and Frontiers
Haiwen Feng, Jiaqi Chen, Zhichang Zhang, et al.
Frontiers in Cell and Developmental Biology (2023) Vol. 11
Open Access | Times Cited: 10
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