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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:

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

Showing 1-25 of 292 citing articles:

Prevention of Psychosis
Paolo Fusar‐Poli, Gonzalo Salazar de Pablo, Christoph U. Correll, et al.
JAMA Psychiatry (2020) Vol. 77, Iss. 7, pp. 755-755
Closed Access | Times Cited: 380
Multimodal machine learning in precision health: A scoping review
Adrienne Kline, Hanyin Wang, Yikuan Li, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 220
Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression
Nikolaos Koutsouleris, Dominic Dwyer, Franziska Degenhardt, et al.
JAMA Psychiatry (2020) Vol. 78, Iss. 2, pp. 195-195
Open Access | Times Cited: 198
Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice
Gonzalo Salazar de Pablo, Erich Studerus, Julio Vaquerizo‐Serrano, et al.
Schizophrenia Bulletin (2020) Vol. 47, Iss. 2, pp. 284-297
Open Access | Times Cited: 162
Quantifying performance of machine learning methods for neuroimaging data
Lee Jollans, Rory Boyle, Éric Artiges, et al.
NeuroImage (2019) Vol. 199, pp. 351-365
Open Access | Times Cited: 156
Candidate biomarkers in psychiatric disorders: state of the field
Anissa Abi‐Dargham, Scott J. Moeller, Farzana Ali, et al.
World Psychiatry (2023) Vol. 22, Iss. 2, pp. 236-262
Open Access | Times Cited: 156
Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis
Cassandra Wannan, Barnaby Nelson, Jean Addington, et al.
Schizophrenia Bulletin (2024) Vol. 50, Iss. 3, pp. 496-512
Open Access | Times Cited: 24
Multivariate brain-behaviour associations in psychiatric disorders
S. Vieira, Thomas A. W. Bolton, Mikkel Schöttner, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 17
The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia Program
Michael P. Harms, Kang Ik K. Cho, Alan Anticevic, et al.
Schizophrenia (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 3
What Causes the Onset of Psychosis in Individuals at Clinical High Risk? A Meta-analysis of Risk and Protective Factors
Dominic Oliver, Thomas J. Reilly, Ottone Baccaredda Boy, et al.
Schizophrenia Bulletin (2019) Vol. 46, Iss. 1, pp. 110-120
Open Access | Times Cited: 138
Improving Mental Health Services: A 50-Year Journey from Randomized Experiments to Artificial Intelligence and Precision Mental Health
Leonard Bickman
Administration and Policy in Mental Health and Mental Health Services Research (2020) Vol. 47, Iss. 5, pp. 795-843
Open Access | Times Cited: 137
Early Detection and Preventive Intervention in Schizophrenia: From Fantasy to Reality
Jeffrey A. Lieberman, Scott A. Small, Ragy R. Girgis
American Journal of Psychiatry (2019) Vol. 176, Iss. 10, pp. 794-810
Closed Access | Times Cited: 133
Recommendations and future directions for supervised machine learning in psychiatry
Micah Cearns, Tim Hahn, Bernhard T. Baune
Translational Psychiatry (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 107
Association of Structural Magnetic Resonance Imaging Measures With Psychosis Onset in Individuals at Clinical High Risk for Developing Psychosis
Maria Jalbrzikowski, Rebecca A. Hayes, Stephen J. Wood, et al.
JAMA Psychiatry (2021) Vol. 78, Iss. 7, pp. 753-753
Open Access | Times Cited: 102
Preventive Treatments for Psychosis: Umbrella Review (Just the Evidence)
Paolo Fusar‐Poli, Cathy Davies, Marco Solmi, et al.
Frontiers in Psychiatry (2019) Vol. 10
Open Access | Times Cited: 87
Structural and functional imaging markers for susceptibility to psychosis
Christina Andreou, Stefan Borgwardt
Molecular Psychiatry (2020) Vol. 25, Iss. 11, pp. 2773-2785
Open Access | Times Cited: 83
Development of Proteomic Prediction Models for Transition to Psychotic Disorder in the Clinical High-Risk State and Psychotic Experiences in Adolescence
David Mongan, Melanie Föcking, Colm Healy, et al.
JAMA Psychiatry (2020) Vol. 78, Iss. 1, pp. 77-77
Open Access | Times Cited: 79
Clinical indicators of treatment-resistant psychosis
Sophie E. Legge, Charlotte Dennison, Antonio F. Pardiñas, et al.
The British Journal of Psychiatry (2019) Vol. 216, Iss. 5, pp. 259-266
Open Access | Times Cited: 78
The promise of a model-based psychiatry: building computational models of mental ill health
Tobias U. Hauser, Vasilisa Skvortsova, Munmun De Choudhury, et al.
The Lancet Digital Health (2022) Vol. 4, Iss. 11, pp. e816-e828
Open Access | Times Cited: 54
Accelerated cortical thinning precedes and predicts conversion to psychosis: The NAPLS3 longitudinal study of youth at clinical high-risk
Meghan A. Collins, Jie Lisa Ji, Yoonho Chung, et al.
Molecular Psychiatry (2022) Vol. 28, Iss. 3, pp. 1182-1189
Open Access | Times Cited: 46
Annual Research Review: Translational machine learning for child and adolescent psychiatry
Dominic Dwyer, Nikolaos Koutsouleris
Journal of Child Psychology and Psychiatry (2022) Vol. 63, Iss. 4, pp. 421-443
Open Access | Times Cited: 40
Machine learning methods to predict outcomes of pharmacological treatment in psychosis
Lorenzo Del Fabro, Elena Bondi, Francesca Serio, et al.
Translational Psychiatry (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 25
Cannabidiol and its Potential Evidence-Based Psychiatric Benefits – A Critical Review
Inga Dammann, Cathrin Rohleder, F. Markus Leweke
Pharmacopsychiatry (2024) Vol. 57, Iss. 03, pp. 115-132
Closed Access | Times Cited: 13
Intelligent Internet of Medical Things for Depression: Current Advancements, Challenges, and Trends
Md Belal Bin Heyat, Deepak Adhikari, Faijan Akhtar, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 1
Data analysis strategies for the Accelerating Medicines Partnership® Schizophrenia Program
Nora Penzel, Pablo Polosecki, Jean Addington, et al.
Schizophrenia (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 1
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