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:

Rapid Discrimination of Neuromyelitis Optica Spectrum Disorder and Multiple Sclerosis Using Machine Learning on Infrared Spectra of Sera
Youssef El Khoury, Marie Gébelin, de Sèze, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 5, pp. 2791-2791
Open Access | Times Cited: 7

Showing 7 citing articles:

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

A Review of Machine Learning Methods Recently Applied to FTIR Spectroscopy Data for the Analysis of Human Blood Cells
Ahmed Fadlelmoula, Susana O. Catarino, Graça Minas, et al.
Micromachines (2023) Vol. 14, Iss. 6, pp. 1145-1145
Open Access | Times Cited: 10

Fourier-transform infrared spectroscopy: A universal optical sensing technique with auspicious application prospects in the diagnosis and management of autoimmune diseases
Khaled Alkhuder
Photodiagnosis and Photodynamic Therapy (2023) Vol. 42, pp. 103606-103606
Closed Access | Times Cited: 8

Research Progress of Artificial Intelligence Image Analysis in Systemic Disease-Related Ophthalmopathy
Yuke Ji, Nan Chen, Sha Liu, et al.
Disease Markers (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 12

Prediction of type 1 diabetes with machine learning algorithms based on FTIR spectral data in peripheral blood mononuclear cells
Evita Rostoka, Karlis Shvirksts, Edgars Salna, et al.
Analytical Methods (2023) Vol. 15, Iss. 37, pp. 4926-4937
Closed Access | Times Cited: 3

Update on aquaporin-4 antibody detection: the early diagnosis of neuromyelitis optica spectrum disorders
X.G. Ye, Zhengping Huang, M T Li, et al.
Multiple Sclerosis and Related Disorders (2024) Vol. 90, pp. 105803-105803
Closed Access

Assessment of the concomitant action of XBD173 and interferon β in a mouse model of multiple sclerosis using infrared marker bands
Krongkarn Sirinukunwattana, Christian Klein, Paul F. A. Clarke, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 327, pp. 125390-125390
Closed Access

Enhancing the accuracy of blood-glucose tests by upgrading FTIR with multiple-reflections, quantum cascade laser, two-dimensional correlation spectroscopy and machine learning
Liying Song, Zhiqiang Han, P.W. Shum, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 327, pp. 125400-125400
Closed Access

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