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:

Machine learning in biosignals processing for mental health: A narrative review
Elena Sajno, Sabrina Bartolotta, Cosimo Tuena, et al.
Frontiers in Psychology (2023) Vol. 13
Open Access | Times Cited: 17

Showing 17 citing articles:

A comprehensive review of predictive analytics models for mental illness using machine learning algorithms
Md. Monirul Islam, Shahriar Hassan, Sharmin Akter, et al.
Healthcare Analytics (2024) Vol. 6, pp. 100350-100350
Open Access | Times Cited: 6

Biosignal comparison for autism assessment using machine learning models and virtual reality
Maria Eleonora Minissi, Alberto Altozano, Javier Marín‐Morales, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108194-108194
Open Access | Times Cited: 5

Prospects for the Use of Machine Learning for Mood Disorders
Ekaterina Mosolova, A. Е. Alfimov, E G Kostyukova, et al.
Digital Diagnostics (2025)
Open Access

Pattern Identification in Patients with Functional Dyspepsia Using Brain–Body Bio-Signals: Protocol of a Clinical Trial for AI Algorithm Development
Won Joon Koh, Junsuk Kim, Younbyoung Chae, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 4, pp. 1072-1072
Open Access

Identifying relevant asymmetry features of EEG for emotion processing
Fatima Islam Mouri, Camilo E. Valderrama, Sergio Camorlinga
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 9

Hybrid SSVEP + P300 brain-computer interface can deal with non-stationary cerebral responses with the use of adaptive classification
Deepak Kapgate
Journal of Neurorestoratology (2024) Vol. 12, Iss. 2, pp. 100109-100109
Open Access | Times Cited: 2

Improving women’s mental health through AI-powered interventions and diagnoses
Rahul Negi
Elsevier eBooks (2024), pp. 173-191
Closed Access | Times Cited: 1

Facial Emotion Recognition in Patients with Juvenile Myoclonic Epilepsy
Hannah Dunkel, Adam Strzelczyk, Susanne Schubert‐Bast, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 12, pp. 4101-4101
Open Access | Times Cited: 3

Mental Health Monitoring And Intervention Using Unsupervised Deep Learning On EEG Data
Akhila Reddy Yadulla, Guna Sekhar Sajja, Santosh Reddy Addula, et al.
Research Square (Research Square) (2024)
Closed Access

Enhancing Educational Outcomes Through EEG-Based Cognitive Indices and Supervised Machine Learning: A Methodological Framework
Stefano D’Urso, Roberto Luongo, Filippo Sciarrone
2020 24th International Conference Information Visualisation (IV) (2024) Vol. 20, pp. 1-6
Closed Access

Making Mental Health
Elizabeth Roberts‐Pedersen
(2024)
Closed Access

Editorial: Analyzing and computing humans - the role of language, culture, brain and health
Cornelia Herbert, Georg Northoff
Frontiers in Human Neuroscience (2024) Vol. 18
Open Access

Understanding the Interplay of Clinical Features and Cognitive Behavior in Schizophrenia: A Machine Learning Study
Fouzia Adjailia, Sid Ahmed Hadri, Abdelkrim Bouramoul
(2023), pp. 10-15
Closed Access | Times Cited: 1

Machine Learning Approaches in Bioengineering for Biosignal Processing
Burak Erdil Biçer, Ibraheem Shayea
Authorea (Authorea) (2023)
Open Access

A Human Brain Disease Anatomy Framework on Communication and Rehabilitation
Aastha Sharma, Sandhya Avasthi, Ayushi Prakash, et al.
(2023), pp. 1-7
Closed Access

A Comprehensive Analysis of Psychiatric Disorders Using Deep Learning
Nandini Manickam, Vijayakumar Ponnusamy
(2023), pp. 1-8
Closed Access

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