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:
Multi-point attention-based semi-supervised learning for diabetic retinopathy classification
Chenrui Zhang, Ping Chen, Tao Lei
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104412-104412
Closed Access | Times Cited: 13
Chenrui Zhang, Ping Chen, Tao Lei
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104412-104412
Closed Access | Times Cited: 13
Showing 13 citing articles:
Multi-Level severity classification for diabetic retinopathy based on hybrid optimization enabled deep learning
S. Zulaikha Beevi
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104736-104736
Closed Access | Times Cited: 23
S. Zulaikha Beevi
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104736-104736
Closed Access | Times Cited: 23
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: 12
Arti Khaparde, Shilpa S. Chapadgaonkar, Manisha Kowdiki, et al.
Sensing and Imaging (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 12
Efficient diagnosis of retinal disorders using dual-branch semi-supervised learning (DB-SSL): An enhanced multi-class classification approach
Muhammad Hammad Malik, Zishuo Wan, Yu Gao, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 121, pp. 102494-102494
Closed Access
Muhammad Hammad Malik, Zishuo Wan, Yu Gao, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 121, pp. 102494-102494
Closed Access
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
Deva Durai, T. Jaya
Medical & Biological Engineering & Computing (2025)
Closed Access
Fundus Image based Diabetic Retinopathy Detection using EfficientNetB3 with Squeeze and Excitation Block
Ravi Bhushan Dixit, Chandan Kumar Jha
Medical Engineering & Physics (2025), pp. 104350-104350
Closed Access
Ravi Bhushan Dixit, Chandan Kumar Jha
Medical Engineering & Physics (2025), pp. 104350-104350
Closed Access
Classification of diabetic retinopathy based on Functional Linked Neural network utilizing segmented fundus image features
D. Sasikala, T. Kowsalya, P. Padmaloshani, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106252-106252
Closed Access | Times Cited: 2
D. Sasikala, T. Kowsalya, P. Padmaloshani, et al.
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106252-106252
Closed Access | Times Cited: 2
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
Sandeep Madarapu, Samit Ari, Kamalakanta Mahapatra
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106564-106564
Closed Access | Times Cited: 1
A novel DAG network based on multi-feature fusion of fundus images for multi-classification of diabetic retinopathy
Lingling Fang, Huan Qiao
Multimedia Tools and Applications (2023) Vol. 82, Iss. 30, pp. 47669-47693
Closed Access | Times Cited: 2
Lingling Fang, Huan Qiao
Multimedia Tools and Applications (2023) Vol. 82, Iss. 30, pp. 47669-47693
Closed Access | Times Cited: 2
Deep Learning Methods for Segmenting and Classifying Diabetic Retinopathy
Dyagala Nagasudha, N. Senthamarai
(2023)
Closed Access | Times Cited: 2
Dyagala Nagasudha, N. Senthamarai
(2023)
Closed Access | Times Cited: 2
Exploring machine learning techniques for feature extraction and classification of diabetes related medical data: A comprehensive review
Kavita Singh, S. Dash
Elsevier eBooks (2024), pp. 153-175
Closed Access
Kavita Singh, S. Dash
Elsevier eBooks (2024), pp. 153-175
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
Amit Rawat, Maheshwari Prasad Singh, Rishi Raj Sharma
Image and Vision Computing (2024) Vol. 150, pp. 105194-105194
Closed Access
Automatic screening of retinal lesions for detecting diabetic retinopathy using adaptive multiscale MobileNet with abnormality segmentation from public dataset
S. Nandhini, S. Saravanan, P. R. Sundararajan, et al.
Network Computation in Neural Systems (2024), pp. 1-33
Closed Access
S. Nandhini, S. Saravanan, P. R. Sundararajan, et al.
Network Computation in Neural Systems (2024), pp. 1-33
Closed Access
Meta Heuristic Fusion Model for Classification with Modified U-Net-based Segmentation
Sri Laxmi Kuna, A. V. Krishna Prasad, Suneetha Bulla
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 3
Open Access | Times Cited: 1
Sri Laxmi Kuna, A. V. Krishna Prasad, Suneetha Bulla
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 3
Open Access | Times Cited: 1
