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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:

Single-timepoint low-dimensional characterization and classification of acute versus chronic multiple sclerosis lesions using machine learning
Bastien Caba, Alexandre Cafaro, Aurélien Lombard, et al.
NeuroImage (2022) Vol. 265, pp. 119787-119787
Open Access | Times Cited: 9

Showing 9 citing articles:

An update on the role of magnetic resonance imaging in predicting and monitoring multiple sclerosis progression
Piriyankan Ananthavarathan, Nitin Sahi, Declan Chard
Expert Review of Neurotherapeutics (2024) Vol. 24, Iss. 2, pp. 201-216
Open Access | Times Cited: 10
Investigation and benchmarking of U-Nets on prostate segmentation tasks
Shrajan Bhandary, Dejan Kuhn, Zahra Babaiee, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 107, pp. 102241-102241
Open Access | Times Cited: 17
Transfer-transfer model with MSNet: An automated accurate multiple sclerosis and myelitis detection system
Sinan Tatli, Gülay MAÇİN, İrem Taşçı, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121314-121314
Closed Access | Times Cited: 12
Semi-Supervised Learning for Predicting Multiple Sclerosis
Sotiris Kotsiantis, Georgia Melagraki, Vassilios S. Verykios, et al.
Journal of Personalized Medicine (2025) Vol. 15, Iss. 5, pp. 167-167
Open Access
Exemplar MobileNetV2-Based Artificial Intelligence for Robust and Accurate Diagnosis of Multiple Sclerosis
Tuba Ekmekyapar, Burak Taşçı
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3030-3030
Open Access | Times Cited: 8
Introducing radiomics model to predict active plaque in multiple sclerosis patients using magnetic resonance images
Benyamin Khajetash, Amin Talebi, Zahra Bagherpour, et al.
Biomedical Physics & Engineering Express (2023) Vol. 9, Iss. 5, pp. 055004-055004
Closed Access | Times Cited: 7
Deep learning for discrimination of active and inactive lesions in multiple sclerosis using non-contrast FLAIR MRI: A multicenter study
AmirAbbas Amini, Azin Shayganfar, Zahra Amini, et al.
Multiple Sclerosis and Related Disorders (2024) Vol. 87, pp. 105642-105642
Open Access | Times Cited: 2
Artificial intelligence applied to MRI data to tackle key challenges in multiple sclerosis
Sara Collorone, Llucia Coll, Marco Lorenzi, et al.
Multiple Sclerosis Journal (2024) Vol. 30, Iss. 7, pp. 767-784
Open Access
Reproducibility of radiomic features of the brain on ultrahigh-resolution MRI at 7 Tesla: a comparison of different segmentation techniques
J. A. Klinger, Doris Leithner, Sungmin Woo, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Systematic Review of Quantitative MRI Brain Analysis Studies in Multiple Sclerosis Disease
Andria Nicolaou, Christos P. Loizou, Marios Pantzaris, et al.
IEEE Access (2024) Vol. 12, pp. 162359-162391
Open Access
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