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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:

Predictive analytics in mental health: applications, guidelines, challenges and perspectives
Tim Hahn, Andrew A. Nierenberg, Susan Whitfield‐Gabrieli
Molecular Psychiatry (2016) Vol. 22, Iss. 1, pp. 37-43
Closed Access | Times Cited: 115

Showing 1-25 of 115 citing articles:

Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression
Nikolaos Koutsouleris, Lana Kambeitz‐Ilankovic, Stephan Ruhrmann, et al.
JAMA Psychiatry (2018) Vol. 75, Iss. 11, pp. 1156-1156
Open Access | Times Cited: 292
Nurturing Nature: How Brain Development Is Inherently Social and Emotional, and What This Means for Education
Mary Helen Immordino‐Yang, Linda Darling‐Hammond, Christina Krone
Educational Psychologist (2019) Vol. 54, Iss. 3, pp. 185-204
Open Access | Times Cited: 210
Behavioral Modeling for Mental Health using Machine Learning Algorithms
M S Srividya, S. Mohanavalli, N. Bhalaji
Journal of Medical Systems (2018) Vol. 42, Iss. 5
Closed Access | Times Cited: 208
The Science of Prognosis in Psychiatry
Paolo Fusar‐Poli, Ziad Hijazi, Daniel Ståhl, et al.
JAMA Psychiatry (2018) Vol. 75, Iss. 12, pp. 1289-1289
Closed Access | Times Cited: 171
How machine-learning recommendations influence clinician treatment selections: the example of antidepressant selection
Maia Jacobs, Melanie F. Pradier, Thomas H. McCoy, et al.
Translational Psychiatry (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 160
Quantifying Deviations of Brain Structure and Function in Major Depressive Disorder Across Neuroimaging Modalities
Nils R. Winter, Ramona Leenings, Jan Ernsting, et al.
JAMA Psychiatry (2022) Vol. 79, Iss. 9, pp. 879-879
Open Access | Times Cited: 133
Artificial intelligence and Psychiatry: An overview
Adwitiya Ray, Akansha Bhardwaj, Yogender Kumar Malik, et al.
Asian Journal of Psychiatry (2022) Vol. 70, pp. 103021-103021
Open Access | Times Cited: 81
A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder
Nils R. Winter, Julian Blanke, Ramona Leenings, et al.
JAMA Psychiatry (2024) Vol. 81, Iss. 4, pp. 386-386
Closed Access | Times Cited: 45
From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder
Thomas Wolfers, Dorothea L. Floris, Richard Dinga, et al.
Neuroscience & Biobehavioral Reviews (2019) Vol. 104, pp. 240-254
Open Access | Times Cited: 112
Using Social Media for Mental Health Surveillance
Ruba Skaik, Diana Inkpen
ACM Computing Surveys (2020) Vol. 53, Iss. 6, pp. 1-31
Closed Access | Times Cited: 107
What have we really learned from functional connectivity in clinical populations?
Jiahe Zhang, Aaron Kucyi, Jovicarole Raya, et al.
NeuroImage (2021) Vol. 242, pp. 118466-118466
Open Access | Times Cited: 101
Systematic misestimation of machine learning performance in neuroimaging studies of depression
Claas Flint, Micah Cearns, Nils Opel, et al.
Neuropsychopharmacology (2021) Vol. 46, Iss. 8, pp. 1510-1517
Open Access | Times Cited: 93
Pre-deployment risk factors for PTSD in active-duty personnel deployed to Afghanistan: a machine-learning approach for analyzing multivariate predictors
Katharina Schultebraucks, Meng Qian, Duna Abu‐Amara, et al.
Molecular Psychiatry (2020) Vol. 26, Iss. 9, pp. 5011-5022
Open Access | Times Cited: 92
The use of machine learning techniques in trauma-related disorders: a systematic review
Luís Francisco Ramos-Lima, Vitória Waikamp, Thyago Antonelli-Salgado, et al.
Journal of Psychiatric Research (2019) Vol. 121, pp. 159-172
Closed Access | Times Cited: 83
Prediction of non-suicidal self-injury in adolescents at the family level using regression methods and machine learning
Si Chen Zhou, Zhaohe Zhou, Qi Tang, et al.
Journal of Affective Disorders (2024) Vol. 352, pp. 67-75
Closed Access | Times Cited: 12
Predictive Analytics in Clinical Psychology
A Bhanu Prasad
Advances in psychology, mental health, and behavioral studies (APMHBS) book series (2025), pp. 313-332
Closed Access | Times Cited: 1
Data sharing in child and adolescent psychiatry research: Key challenges (and some potential solutions)
Bethany Oakley, Alexandra Lautarescu, Tony Charman, et al.
Open Research Europe (2025) Vol. 5, pp. 93-93
Open Access | Times Cited: 1
Predicting Response to Repetitive Transcranial Magnetic Stimulation in Patients With Schizophrenia Using Structural Magnetic Resonance Imaging: A Multisite Machine Learning Analysis
Nikolaos Koutsouleris, Thomas Wobrock, Birgit Guse, et al.
Schizophrenia Bulletin (2017) Vol. 44, Iss. 5, pp. 1021-1034
Open Access | Times Cited: 75
Translational machine learning for psychiatric neuroimaging
Martin Walter, Sarah Alizadeh, Hamidreza Jamalabadi, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2018) Vol. 91, pp. 113-121
Closed Access | Times Cited: 69
Machine Learning for Prediction of Posttraumatic Stress and Resilience Following Trauma: An Overview of Basic Concepts and Recent Advances
Katharina Schultebraucks, Isaac R. Galatzer‐Levy
Journal of Traumatic Stress (2019) Vol. 32, Iss. 2, pp. 215-225
Closed Access | Times Cited: 67
Neuroprediction and A.I. in Forensic Psychiatry and Criminal Justice: A Neurolaw Perspective
Leda Tortora, Gerben Meynen, J. W. J. Bijlsma, et al.
Frontiers in Psychology (2020) Vol. 11
Open Access | Times Cited: 64
Precision psychiatry with immunological and cognitive biomarkers: a multi-domain prediction for the diagnosis of bipolar disorder or schizophrenia using machine learning
Brisa S. Fernandes, Chandan Karmakar, Ryad Tamouza, et al.
Translational Psychiatry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 51
Neuromarkers for Mental Disorders: Harnessing Population Neuroscience
Lee Jollans, Robert Whelan
Frontiers in Psychiatry (2018) Vol. 9
Open Access | Times Cited: 49
Prospective prediction of suicide attempts in community adolescents and young adults, using regression methods and machine learning
Marcel Miché, Erich Studerus, Andrea H. Meyer, et al.
Journal of Affective Disorders (2019) Vol. 265, pp. 570-578
Closed Access | Times Cited: 48
Prefrontal networks dynamically related to recovery from major depressive disorder: a longitudinal pharmacological fMRI study
Bernhard M. Meyer, Ulrich Rabl, Julia Huemer, et al.
Translational Psychiatry (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 47
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