Open Access Helper

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:

A Deep Learning Approach for Predicting Multiple Sclerosis
Edgar Rafael Ponce de Leon-Sanchez, Omar A. Domínguez-Ramírez, Ana M. Herrera-Navarro, et al.
Micromachines (2023) Vol. 14, Iss. 4, pp. 749-749
Open Access | Times Cited: 9

Showing 9 citing articles:

Identification of lipid metabolism-related gene markers and construction of a diagnostic model for multiple sclerosis: an integrated analysis by bioinformatics and machine learning
Fangjie Yang, Xin‐Min Li, Jing Wang, et al.
Analytical Biochemistry (2025), pp. 115781-115781
Closed Access
A review of AI-based radiogenomics in neurodegenerative disease
Huanjing Liu, Xiaohong Zhang, Qian Liu
Frontiers in Big Data (2025) Vol. 8
Open Access
Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review
Milad Yousefi, Masih Akhbari, Zhina Mohamadi, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 4
Machine learning in the identification of phenotypes of multiple sclerosis patients
Pratheeba Jeyananthan
International Journal of Information Technology (2024) Vol. 16, Iss. 4, pp. 2307-2313
Closed Access | Times Cited: 2
A machine learning approach to determine the risk factors for fall in multiple sclerosis
Su Özgür, Meryem Koçaslan Toran, Ismail Toyğar, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review
Hibba Yousef, Brigitta Malagurski Tortei, Filippo Castiglione
Journal of Neurology (2024)
Open Access | Times Cited: 1
Automatic Detection of Multiple Sclerosis Using Genomic Expression
Abdullah DH. Ahmed, Marwa M. A. Hadhoud, Vidan Fathi Ghoneim
Communications in computer and information science (2024), pp. 144-155
Closed Access
Innovative mathematical modelling approaches to diagnose chronic neurological disorders with deep learning
Faten Khalid Karim, Sara Ghorashi, Anis Ben Ishak, et al.
Thermal Science (2024) Vol. 28, Iss. 6 Part B, pp. 5217-5229
Open Access
Enhancing trustworthiness and reliability: advance explainable artificial intelligence framework for real world Sclerosis detection
Tanzila Saba, Muhammad Mujahid, Amjad Rehman, et al.
Physica Scripta (2024) Vol. 99, Iss. 10, pp. 105017-105017
Closed Access
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