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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:

The role of machine learning in neuroimaging for drug discovery and development
Orla Doyle, Mitul A. Mehta, Michael Brammer
Psychopharmacology (2015) Vol. 232, Iss. 21-22, pp. 4179-4189
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Building better biomarkers: brain models in translational neuroimaging
Choong‐Wan Woo, Luke J. Chang, Martin A. Lindquist, et al.
Nature Neuroscience (2017) Vol. 20, Iss. 3, pp. 365-377
Open Access | Times Cited: 957
Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic
Rajvikram Madurai Elavarasan, Rishi Pugazhendhi
The Science of The Total Environment (2020) Vol. 725, pp. 138858-138858
Open Access | Times Cited: 308
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
Ellen Lee, John Torous, Munmun De Choudhury, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2021) Vol. 6, Iss. 9, pp. 856-864
Open Access | Times Cited: 239
The neuropsychopharmacology of cannabis: A review of human imaging studies
Michael Bloomfield, Chandni Hindocha, Sebastian F Green, et al.
Pharmacology & Therapeutics (2018) Vol. 195, pp. 132-161
Open Access | Times Cited: 211
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
Anees Abrol, Zening Fu, Mustafa S. Salman, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 161
Machine learning and big data: Implications for disease modeling and therapeutic discovery in psychiatry
Andy Man Yeung Tai, Alcides Albuquerque, Nicole E. Carmona, et al.
Artificial Intelligence in Medicine (2019) Vol. 99, pp. 101704-101704
Closed Access | Times Cited: 150
Predicting personality from network-based resting-state functional connectivity
Alessandra D. Nostro, Veronika I. Müller, Deepthi P. Varikuti, et al.
Brain Structure and Function (2018) Vol. 223, Iss. 6, pp. 2699-2719
Open Access | Times Cited: 147
Artificial intelligence in medicine: What is it doing for us today?
Aliza Becker
Health Policy and Technology (2019) Vol. 8, Iss. 2, pp. 198-205
Closed Access | Times Cited: 117
Neurobiological markers predicting treatment response in anxiety disorders: A systematic review and implications for clinical application
Ulrike Lueken, Kathrin C. Zierhut, Tim Hahn, et al.
Neuroscience & Biobehavioral Reviews (2016) Vol. 66, pp. 143-162
Closed Access | Times Cited: 116
Artificial intelligence, physiological genomics, and precision medicine
Anna Marie Williams, Yong Liu, Kevin R. Regner, et al.
Physiological Genomics (2018) Vol. 50, Iss. 4, pp. 237-243
Open Access | Times Cited: 105
EEG spectral power, but not theta/beta ratio, is a neuromarker for adult ADHD
Hanni Kiiski, Marc Bennett, Laura M. Rueda‐Delgado, et al.
European Journal of Neuroscience (2019) Vol. 51, Iss. 10, pp. 2095-2109
Open Access | Times Cited: 62
Effect sizes and test-retest reliability of the fMRI-based neurologic pain signature
Xiaochun Han, Yoni K. Ashar, Philip A. Kragel, et al.
NeuroImage (2021) Vol. 247, pp. 118844-118844
Open Access | Times Cited: 49
Biomarkers of Migraine and Cluster Headache: Differences and Similarities
Roberta Messina, Carole H. Sudre, Diana Y. Wei, et al.
Annals of Neurology (2022) Vol. 93, Iss. 4, pp. 729-742
Open Access | Times Cited: 32
Machine learning with neuroimaging biomarkers: Application in the diagnosis and prediction of drug addiction
Longtao Yang, Yanyao Du, Wenhan Yang, et al.
Addiction Biology (2023) Vol. 28, Iss. 2
Closed Access | Times Cited: 21
Functional EEG connectivity is a neuromarker for adult attention deficit hyperactivity disorder symptoms
Hanni Kiiski, Laura M. Rueda‐Delgado, Marc Bennett, et al.
Clinical Neurophysiology (2019) Vol. 131, Iss. 1, pp. 330-342
Closed Access | Times Cited: 43
Functional neuroimaging of psychotherapeutic processes in anxiety and depression
Ulrike Lueken, Tim Hahn
Current Opinion in Psychiatry (2015) Vol. 29, Iss. 1, pp. 25-31
Closed Access | Times Cited: 44
Toward Robust Anxiety Biomarkers: A Machine Learning Approach in a Large-Scale Sample
Emily A. Boeke, Avram J. Holmes, Elizabeth A. Phelps
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2019) Vol. 5, Iss. 8, pp. 799-807
Open Access | Times Cited: 42
Neuroimaging in Pediatric Psychiatric Disorders
Timothy P. L. Roberts, Luke Bloy
Oxford University Press eBooks (2025), pp. 839-854
Closed 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
Early diagnosis of Alzheimer's disease: A multi-class deep learning framework with modified k-sparse autoencoder classification
Pushkar Bhatkoti, Manoranjan Paul
(2016)
Closed Access | Times Cited: 38
Machine Learning EEG to Predict Cognitive Functioning and Processing Speed Over a 2-Year Period in Multiple Sclerosis Patients and Controls
Hanni Kiiski, Lee Jollans, Seán Ó Donnchadha, et al.
Brain Topography (2018) Vol. 31, Iss. 3, pp. 346-363
Closed Access | Times Cited: 36
Bridging the Gaps Between Basic Science and Cognitive-Behavioral Treatments for Anxiety Disorders in Routine Care
Jan Richter, Andre Pittig, Maike Hollandt, et al.
Zeitschrift für Psychologie (2017) Vol. 225, Iss. 3, pp. 252-267
Closed Access | Times Cited: 35
The Clinical Added Value of Imaging: A Perspective From Outcome Prediction
Lee Jollans, Robert Whelan
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2016) Vol. 1, Iss. 5, pp. 423-432
Closed Access | Times Cited: 32
The cortical thickness phenotype of individuals with DISC1 translocation resembles schizophrenia
Orla Doyle, Catherine Bois, Pippa A. Thomson, et al.
Journal of Clinical Investigation (2015) Vol. 125, Iss. 9, pp. 3714-3722
Open Access | Times Cited: 17
Brain Metabolism Changes in Patients Infected with HTLV-1
Manuel Schütze, Luiz Cláudio Ferreira Romanelli, Daniela Rosa, et al.
Frontiers in Molecular Neuroscience (2017) Vol. 10
Open Access | Times Cited: 15
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