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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:

Diabetic Retinopathy Prediction Based on Wavelet Decomposition and Modified Capsule Network
Mohammed Oulhadj, Jamal Riffi, Chaimae Khodriss, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 4, pp. 1739-1751
Closed Access | Times Cited: 13

Showing 13 citing articles:

NIMEQ-SACNet: A novel self-attention precision medicine model for vision-threatening diabetic retinopathy using image data
Anas Bilal, Xiaowen Liu, Muhammad Shafiq, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108099-108099
Closed Access | Times Cited: 38
3DUV-NetR+: A 3D hybrid semantic architecture using transformers for brain tumor segmentation with MultiModal MR images
Ilyasse Aboussaleh, Jamal Riffi, Khalid El Fazazy, et al.
Results in Engineering (2024) Vol. 21, pp. 101892-101892
Open Access | Times Cited: 24
A deep integrative approach for diabetic retinopathy classification with synergistic channel-spatial and self-attention mechanism
Sandeep Madarapu, Samit Ari, Kamalakanta Mahapatra
Expert Systems with Applications (2024) Vol. 249, pp. 123523-123523
Closed Access | Times Cited: 12
Diabetic retinopathy prediction based on vision transformer and modified capsule network
Mohammed Oulhadj, Jamal Riffi, Chaimae Khodriss, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108523-108523
Closed Access | Times Cited: 8
ResViT FusionNet Model: An explainable AI-driven approach for automated grading of diabetic retinopathy in retinal images
Amna Ikram, Azhar Imran
Computers in Biology and Medicine (2025) Vol. 186, pp. 109656-109656
Closed Access
Diabetic Retinopathy Detection Using DL‐Based Feature Extraction and a Hybrid Attention‐Based Stacking Ensemble
Sanjana Rajeshwar, Shreya Thaplyal, M. S. Anbarasi, et al.
Advances in Public Health (2025) Vol. 2025, Iss. 1
Open Access
UC-stack: a deep learning computer automatic detection system for diabetic retinopathy classification
Yong Fu, Yuekun Wei, Siying Chen, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 4, pp. 045021-045021
Open Access | Times Cited: 2
STCPU-Net: advanced U-shaped deep learning architecture based on Swin transformers and capsule neural network for brain tumor segmentation
Ilyasse Aboussaleh, Jamal Riffi, Khalid El Fazazy, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 30, pp. 18549-18565
Closed Access | Times Cited: 2
Potential Screening, Grading and Follow-Up of Diabetic Retinopathy in Primary Care Using Artificial Intelligence – How Hard Would It Be to Implement? An Ophthalmologist’s Perspective
Alexandra Cristina Rusu, Raluca Ozana Chistol, Simona-Irina Damian, et al.
BRAIN BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE (2024) Vol. 15, Iss. 2, pp. 280-303
Open Access
HMedCaps: a new hybrid capsule network architecture for complex medical images
Sümeyra Büşra Şengül, İlker Ali Özkan
Neural Computing and Applications (2024) Vol. 36, Iss. 33, pp. 20589-20606
Closed Access
A Meta-Learning Approach for Classifying Multimodal Retinal Images of Retinal Vein Occlusion With Limited Data
Danba Jiachu, Li Luo, Meng Xie, et al.
Translational Vision Science & Technology (2024) Vol. 13, Iss. 9, pp. 22-22
Open Access
DRSegNet: A cutting-edge approach to Diabetic Retinopathy segmentation and classification using parameter-aware Nature-Inspired optimization
Sundreen Asad Kamal, Youtian Du, Majdi Khalid, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0312016-e0312016
Open 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
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