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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:

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

Showing 12 citing articles:

EYE-YOLO: a multi-spatial pyramid pooling and Focal-EIOU loss inspired tiny YOLOv7 for fundus eye disease detection
Akhil Kumar, R. Dhanalakshmi
International Journal of Intelligent Computing and Cybernetics (2024) Vol. 17, Iss. 3, pp. 503-522
Closed Access | Times Cited: 6
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
A Lightweight YOLO Model for Detection of Disease from Optic Disc Region of Eye Fundus Imagery
Akhil Kumar, Nitish Katal
Sensing and Imaging (2025) Vol. 26, Iss. 1
Closed Access
An attentional mechanism model for segmenting multiple lesion regions in the diabetic retina
Changzhuan Xu, Song He, Hailin Li
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Multi-label deep learning for comprehensive optic nerve head segmentation through data of fundus images
Najdavan A. Kako, Adnan Mohsin Abdulazeez, Diler Naseradeen Abdulqader
Heliyon (2024) Vol. 10, Iss. 18, pp. e36996-e36996
Open Access | Times Cited: 1
An attentional mechanism model for segmenting multiple lesion regions in the diabetic retina
Changzhuan Xu, Song He, Hailin Li
Research Square (Research Square) (2024)
Open Access
Exploring Deep Learning Methods for Diabetic Retinopathy Detection and Classification
Minnu C Tomy, C. Malathy
(2024), pp. 1-6
Closed Access
Hard Exudates Segmentation in Diabetic retinopathy using DiaRetDB1
Ma Yinghua, Yang Heng, R. Amarnath, et al.
IEEE Access (2024) Vol. 12, pp. 126486-126502
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
Coinciding Diabetic Retinopathy and Diabetic Macular Edema Grading With Rat Swarm Optimization Algorithm for Enhanced Capsule Generation Adversarial Network
N. Ramshankar, M. Kalyana Sundaram, K. V. Praveen, et al.
Microscopy Research and Technique (2024)
Closed Access
STMF-DRNet: A multi-branch fine-grained classification model for diabetic retinopathy using Swin-TransformerV2
Yuanyuan Liu, Dazhi Yao, Yongwen Ma, et al.
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107352-107352
Open Access
Hybrid Fuzzy Assisted RNN Algorithm for Diabetic Retinopathy Identification
P Sivaprakash, G. Gifta Jerith, H. Packiaraj, et al.
(2023), pp. 1-6
Closed Access
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