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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:

Machine learning in neuroimaging: from research to clinical practice
Karl‐Heinz Nenning, Georg Langs
Deleted Journal (2022) Vol. 62, Iss. S1, pp. 1-10
Open Access | Times Cited: 22

Showing 22 citing articles:

Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 456-456
Open Access | Times Cited: 4
The evolution of Big Data in neuroscience and neurology
Laura Dipietro, Paola Gonzalez‐Mego, Ciro Ramos‐Estebanez, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 23
The Clinical Relevance of Artificial Intelligence in Migraine
A de Torrenté, Simona Maccora, Francesco Prinzi, et al.
Brain Sciences (2024) Vol. 14, Iss. 1, pp. 85-85
Open Access | Times Cited: 12
Diagnostic machine learning applications on clinical populations using functional near infrared spectroscopy: a review
Aykut Eken, Farhad Nassehi, Osman Eroğul
Reviews in the Neurosciences (2024) Vol. 35, Iss. 4, pp. 421-449
Open Access | Times Cited: 6
An Umbrella Review of the Fusion of fMRI and AI in Autism
Daniele Giansanti
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3552-3552
Open Access | Times Cited: 15
Domain‐Specific Prediction of Clinical Progression in Parkinson's Disease Using the Mosaic Approach
Marlene Tahedl, Ulrich Bogdahn, B Wimmer, et al.
Brain and Behavior (2025) Vol. 15, Iss. 1
Open Access
Transforming brain research: Neuroimaging breakthroughs driven by AI
Tushita, Vivek Srivastava, Ravi Kant Singh
AIP conference proceedings (2025) Vol. 3262, pp. 020021-020021
Closed Access
Predicting antipsychotic responsiveness using a machine learning classifier trained on plasma levels of inflammatory markers in schizophrenia
Jie Yin Yee, S. J. Phua, Yuen Mei See, et al.
Translational Psychiatry (2025) Vol. 15, Iss. 1
Open Access
Machine Learning with Brain Data
Ujwal Chaudhary
(2025), pp. 179-223
Closed Access
Machine Learning Opportunities in Traumatic Brain Injury Patients
M. Marzia Noor, Md Moshiur Rahman, Amit Agrawal, et al.
Indian Journal of Neurotrauma (2025)
Open Access
Tetherless miniaturized point detector device for monitoring cortical surface hemodynamics in mice
Anupam Bisht, Govind Peringod, Linhui Yu, et al.
Journal of Biomedical Optics (2025) Vol. 30, Iss. S2
Open Access
Seeing more than the Tip of the Iceberg: Approaches to Subthreshold Effects in Functional Magnetic Resonance Imaging of the Brain
Benedikt Sundermann, Bettina Pfleiderer, Anke McLeod, et al.
Clinical Neuroradiology (2024) Vol. 34, Iss. 3, pp. 531-539
Open Access | Times Cited: 3
Neuroimaging and artificial intelligence for assessment of chronic painful temporomandibular disorders—a comprehensive review
Mayank Shrivastava, Liang Ye
International Journal of Oral Science (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Brainchop: Providing an Edge Ecosystem for Deployment of Neuroimaging Artificial Intelligence Models
Sergey M. Plis, Mohamed Masoud, Farfalla Hu, et al.
Aperture Neuro (2024) Vol. 4
Closed Access | Times Cited: 1
Seeing more than the tip of the iceberg: Approaches to subthreshold effects in functional magnetic resonance imaging of the brain
Benedikt Sundermann, Bettina Pfleiderer, Anke McLeod, et al.
(2023)
Open Access | Times Cited: 2
Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics?
Rachel Edelstein, Sterling Gutterman, Benjamin T. Newman, et al.
Neuroinformatics (2024) Vol. 22, Iss. 4, pp. 607-618
Open Access
Predicting antipsychotic responsiveness using a machine learning classifier trained on plasma levels of inflammatory markers in schizophrenia
Jimmy Lee, Jie Yin Yee, S. J. Phua, et al.
Research Square (Research Square) (2024)
Open Access
Multimodal investigation of the neurocognitive deficits underlying dyslexia in adulthood
Cristina Cara, Zantonello Giulia, Marta Ghio, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Machine learning for brain tumor classification: evaluating feature extraction and algorithm efficiency
Krishan Kumar, Kiran Jyoti, Krishan Kumar
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access
DCA-Enhanced Alzheimer’s detection with shearlet and deep learning integration
Sadiq Alinsaif
Computers in Biology and Medicine (2024) Vol. 185, pp. 109538-109538
Closed Access
Diagnostic Machine Learning Applications on Clinical Populations using Functional Near Infrared Spectroscopy: A Review
Aykut Eken, Farhad Nassehi, Osman Eroğul
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Editorial: Big Data analytics to advance stroke and cerebrovascular disease: a tool to bridge translational and clinical research
Alexis N. Simpkins, Hari Indupuru, Sean I. Savitz
Frontiers in Neurology (2023) Vol. 14
Open Access
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