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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 enabled optimized feature selection and classification for grading diabetic retinopathy severity in the fundus image
A. Mary Dayana, W. R. Sam Emmanuel
Neural Computing and Applications (2022) Vol. 34, Iss. 21, pp. 18663-18683
Closed Access | Times Cited: 25

Showing 25 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: 78
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: 17
Smart detection and diagnosis of diabetic retinopathy using bat based feature selection algorithm and deep forest technique
Praveen Modi, Yugal Kumar
Computers & Industrial Engineering (2023) Vol. 182, pp. 109364-109364
Closed Access | Times Cited: 17
A refined ResNet18 architecture with Swish activation function for Diabetic Retinopathy classification
Serena Sunkari, Ashish Sangam, Venkata Sreeram P., et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105630-105630
Closed Access | Times Cited: 15
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: 12
An Attention-Based Swin U-Net-Based Segmentation and Hybrid Deep Learning Based Diabetic Retinopathy Classification Framework Using Fundus Images
Arti Khaparde, Shilpa S. Chapadgaonkar, Manisha Kowdiki, et al.
Sensing and Imaging (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 10
A Comprehensive Review of Diabetic Retinopathy Detection and Grading Based on Deep Learning and Metaheuristic Optimization Techniques
A. Mary Dayana, W. R. Sam Emmanuel
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4565-4599
Closed Access | Times Cited: 9
Interpretable diagnostic system for multiocular diseases based on hybrid meta-heuristic feature selection
M Raveenthini, R Lavanya, Raúl Benítez
Computers in Biology and Medicine (2024) Vol. 184, pp. 109486-109486
Closed Access | Times Cited: 2
Importance Estimate of Features via analysis of their Weight and Gradient profile
Ho Tung Jeremy Chan, Eduardo Veas
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Evaluating the Performance of a Non-Uniform Squash Function in Capsule Networks for Early Diabetic Retinopathy Detection Using Fundus Image Analysis
Nagachandrika Gogulamudi, G. Madhu, Apparao Naidu G, et al.
Results in Engineering (2024) Vol. 23, pp. 102820-102820
Open Access | Times Cited: 1
Deep learning based binary classification of diabetic retinopathy images using transfer learning approach
Dimple Saproo, Aparna N. Mahajan, Seema Narwal
Journal of Diabetes & Metabolic Disorders (2024) Vol. 23, Iss. 2, pp. 2289-2314
Closed Access | Times Cited: 1
LuNet-LightGBM: An Effective Hybrid Approach for Lesion Segmentation and DR Grading
Sesikala Bapatla, Jonnadula Harikiran
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 1, pp. 597-617
Open Access | Times Cited: 3
ESOA-HGRU: egret swarm optimization algorithm-based hybrid gated recurrent unit for classification of diabetic retinopathy
Abrar M. Alajlan, Abdul Razaque
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 1617-1646
Closed Access | Times Cited: 3
Analysis of various data imputation techniques for diabetes classification on PIMA dataset
Vishesh Jain, Sanyam Shukla, Nilay Khare
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024) Vol. 35, pp. 1-6
Closed Access
Explainability and Importance Estimate of TimeSeries Classifier via Embedded Neural Network
Ho Tung Jeremy Chan, Ilija Šimić, Eduardo Veas
Research Square (Research Square) (2024)
Open Access
Relative Feature Classification Method for Diabetic Retinopathy Detection from Scanned Eye Images
J. Dhanasekar, V K Sudha
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 31, pp. 3244-3252
Open Access
Spatial attention U-Net model with Harris hawks optimization for retinal blood vessel and optic disc segmentation in fundus images
Puranam Revanth Kumar, B. Shilpa, Rajesh Kumar Jha, et al.
International Ophthalmology (2024) Vol. 44, Iss. 1
Closed Access
Importance estimate of features via analysis of their weight and gradient profile
Ho Tung Jeremy Chan, Eduardo Veas
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Segmentation of Retinal Blood Vessels and Optic Disc Using Deep Neural Networks: State-Of-The-Art Review
Saba Sheiba, M. Neelakantappa, Amjan Shaik
Studies in systems, decision and control (2024), pp. 139-152
Closed 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
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
Hyperparameter optimization of pre-trained convolutional neural networks using adolescent identity search algorithm
Ebubekir Akkuş, Ufuk Bal, Fatma Önay Koçoğlu, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 4, pp. 1523-1537
Closed Access | Times Cited: 1
Level-set based adaptive-active contour segmentation technique with long short-term memory for diabetic retinopathy classification
Ashok Bhansali, Raj Kumar Patra, Mohamed Abouhawwash, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access
Automatic Diagnosis and Grading of Diabetic Retinopathy using Bat Optimization Algorithm-Refined Deep Residual Network
Balasubramaniam Santhana Lakshmi, Venkata Ramana Kaneti, R S Soundariya, et al.
(2023), pp. 1-6
Closed Access
Retinal Fundus Image Retrieval and Classification using Optimal Deep Learning Model
S Syed Mahamood Shazuli, A. Saravanan
2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) (2022), pp. 639-645
Closed Access
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