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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:

Automated Diagnosis of Optical Coherence Tomography Angiography (OCTA) Based on Machine Learning Techniques
Ibrahim Yasser, Fahmi Khalifa, Hisham Abdeltawab, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2342-2342
Open Access | Times Cited: 15

Showing 15 citing articles:

A robust MRI-based brain tumor classification via a hybrid deep learning technique
Shaimaa E. Nassar, Ibrahim Yasser, Hanan M. Amer, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 2, pp. 2403-2427
Open Access | Times Cited: 45
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations
Linus Kreitner, Johannes C. Paetzold, Nikolaus Rauch, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 6, pp. 2061-2073
Open Access | Times Cited: 20
DISCOVER: 2-D multiview summarization of Optical Coherence Tomography Angiography for automatic diabetic retinopathy diagnosis
Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, et al.
Artificial Intelligence in Medicine (2024) Vol. 149, pp. 102803-102803
Open Access | Times Cited: 6
Advances in Structural and Functional Retinal Imaging and Biomarkers for Early Detection of Diabetic Retinopathy
Zhengwei Zhang, Callie Deng, Yannis M. Paulus
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1405-1405
Open Access | Times Cited: 6
Integrating lightweight convolutional neural network with entropy-informed channel attention and adaptive spatial attention for OCT-based retinal disease classification
Mohamed Ahmed, Mohamed Shehata, Patricia Lasserre
Computers in Biology and Medicine (2025) Vol. 190, pp. 110071-110071
Open Access
Artificial intelligence and hemodynamic studies in optical coherence tomography angiography for diabetic retinopathy evaluation: A review
K. Pradeep, Vijay Jeyakumar, Muna Bhende, et al.
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2023) Vol. 238, Iss. 1, pp. 3-21
Closed Access | Times Cited: 5
DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis
Mostafa El Habib Daho, Yihao Li, Rachid Zeghlache, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 1
The Framework of Quantifying Biomarkers of OCT and OCTA Images in Retinal Diseases
Xiaoli Liu, Haogang Zhu, H Zhang, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5227-5227
Open Access | Times Cited: 1
The Effect of Reduced Oxygen Saturation on Retinal Microvascularization in COVID-19 Patients with Bilateral Pneumonia Based on Optical Coherence Tomography Study
Magdalena Kal, Mateusz Winiarczyk, Jerzy Mackiewicz, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 11, pp. 1824-1824
Open Access | Times Cited: 7
Vessel Density Features of Optical Coherence Tomography Angiography for Classification of Optic Neuropathies Using Machine Learning
Jalil Jalili, Mohadeseh Nadimi, Behzad Jafari, et al.
Journal of Neuro-Ophthalmology (2023)
Closed Access | Times Cited: 3
Adaptive Deep Clustering Network for Retinal Blood Vessel and Foveal Avascular Zone Segmentation
Azaz Khan, Jinyi Hao, Zihao Dong, et al.
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11259-11259
Open Access | Times Cited: 3
Deep Learning-based Automated Detection of Retinal Diseases with Convolutional Neural Networks
Manivasagam, Shweta Singh, Shri Bhagwan
(2024), pp. 1-6
Closed Access
Special Issue “Computer Aided Diagnosis Sensors”
Ayman El‐Baz, Guruprasad A. Giridharan, Ahmed Shalaby, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8052-8052
Open Access | Times Cited: 1
Left ventricle segmentation and quantification using deep learning
Hisham Abdeltawab, Fahmi Khalifa, Fatma Taher, et al.
Elsevier eBooks (2023), pp. 113-147
Closed Access
Role of machine learning in early diagnosis of kidney diseases.
Mohamed Shehata
(2022)
Open Access
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