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 Hybrid Approach for MS Diagnosis Through Nonlinear EEG Descriptors and Metaheuristic Optimized Classification Learning
Elnaz Mohseni, Seyed Mahdi Moghaddasi
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 8

Showing 8 citing articles:

Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities
Nida Aslam, Irfan Ullah Khan, Asma Bashamakh, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7856-7856
Open Access | Times Cited: 54

Advancing multiple sclerosis diagnosis through an innovative hybrid AI framework incorporating Multi-view ResNet and quantum RIME-inspired metaheuristics
Mohamed G. Khattap, Mohammed Sallah, Abdelghani Dahou, et al.
Ain Shams Engineering Journal (2025) Vol. 16, Iss. 2, pp. 103241-103241
Closed Access | Times Cited: 1

Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis
Christopher Ivan Hernandez, Shaida Kargarnovin, Sara Hejazi, et al.
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 7

A simplified method for relapsing-remitting multiple sclerosis detection: Insights from resting EEG signals
Seda Şaşmaz Karacan, Hamdi Melih Saraoğlu
Computers in Biology and Medicine (2024) Vol. 178, pp. 108728-108728
Closed Access | Times Cited: 2

Deep learning and classic machine learning models in the automatic diagnosis of multiple sclerosis using retinal vessels
Neda Yaghoubi, Hassan Masumi, Mohammad Hossein Fatehi, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 37483-37504
Closed Access | Times Cited: 5

Construction and Validation of a New BrainView qEEG Discriminant Database
Annie TL Young, Slav Danev, Jonathan R. T. Lakey
Acta Scientific Neurology (2024), pp. 25-51
Open Access

Enhancing multiple sclerosis diagnosis: A comparative study of electroencephalogram signal processing and entropy methods
Umut Aslan, Mehmet Feyzi Akşahin
Computers in Biology and Medicine (2024) Vol. 185, pp. 109615-109615
Closed Access

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