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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:

Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)
Ronald C. Kessler, Murray B. Stein, Maria Petukhova, et al.
Molecular Psychiatry (2016) Vol. 22, Iss. 4, pp. 544-551
Open Access | Times Cited: 150

Showing 1-25 of 150 citing articles:

Machine learning in mental health: a scoping review of methods and applications
Adrian Shatte, Delyse Hutchinson, Samantha Teague
Psychological Medicine (2019) Vol. 49, Iss. 09, pp. 1426-1448
Open Access | Times Cited: 689
Supervised Machine Learning: A Brief Primer
Tammy Jiang, Jaimie L. Gradus, Anthony J. Rosellini
Behavior Therapy (2020) Vol. 51, Iss. 5, pp. 675-687
Open Access | Times Cited: 506
Prediction Models for Suicide Attempts and Deaths
Bradley E. Belsher, Derek J. Smolenski, Larry D. Pruitt, et al.
JAMA Psychiatry (2019) Vol. 76, Iss. 6, pp. 642-642
Closed Access | Times Cited: 411
Suicide
Seena Fazel, Bo Runeson
New England Journal of Medicine (2020) Vol. 382, Iss. 3, pp. 266-274
Open Access | Times Cited: 397
Improving Suicide Prevention Through Evidence-Based Strategies: A Systematic Review
J. John Mann, Christina A. Michel, Randy P. Auerbach
American Journal of Psychiatry (2021) Vol. 178, Iss. 7, pp. 611-624
Open Access | Times Cited: 357
Predicting Suicide Attempts and Suicide Deaths Following Outpatient Visits Using Electronic Health Records
Gregory E. Simon, Eric Johnson, Jean M. Lawrence, et al.
American Journal of Psychiatry (2018) Vol. 175, Iss. 10, pp. 951-960
Open Access | Times Cited: 328
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
Severity and Variability of Depression Symptoms Predicting Suicide Attempt in High-Risk Individuals
Nadine Melhem, Giovanna Porta, María A. Oquendo, et al.
JAMA Psychiatry (2019) Vol. 76, Iss. 6, pp. 603-603
Open Access | Times Cited: 209
The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review
Taylor A. Burke, Brooke A. Ammerman, Ross Jacobucci
Journal of Affective Disorders (2018) Vol. 245, pp. 869-884
Closed Access | Times Cited: 175
Developing a practical suicide risk prediction model for targeting high‐risk patients in the Veterans health Administration
Ronald C. Kessler, Irving Hwang, Claire A. Hoffmire, et al.
International Journal of Methods in Psychiatric Research (2017) Vol. 26, Iss. 3
Open Access | Times Cited: 173
Psychedelics in Psychiatry: Neuroplastic, Immunomodulatory, and Neurotransmitter Mechanisms
Antonio Inserra, Danilo De Gregorio, Gabriella Gobbi
Pharmacological Reviews (2020) Vol. 73, Iss. 1, pp. 202-277
Open Access | Times Cited: 163
Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations
Rebecca A. Bernert, Amanda M. Hilberg, Ruth Melia, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 16, pp. 5929-5929
Open Access | Times Cited: 160
Machine learning and the prediction of suicide in psychiatric populations: a systematic review
Alessandro Pigoni, Giuseppe Delvecchio, Nunzio Turtulici, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 20
Machine learning in suicide science: Applications and ethics
Kathryn P. Linthicum, Katherine Musacchio Schafer, Jessica D. Ribeiro
Behavioral Sciences & the Law (2019) Vol. 37, Iss. 3, pp. 214-222
Closed Access | Times Cited: 130
Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark
Jaimie L. Gradus, Anthony J. Rosellini, Erzsébet Horváth‐Puhó, et al.
JAMA Psychiatry (2019) Vol. 77, Iss. 1, pp. 25-25
Open Access | Times Cited: 121
Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide
Douglas M. Ruderfer, Colin G. Walsh, Matthew Aguirre, et al.
Molecular Psychiatry (2019) Vol. 25, Iss. 10, pp. 2422-2430
Open Access | Times Cited: 120
Advancing the Understanding of Suicide: The Need for Formal Theory and Rigorous Descriptive Research
Alexander J. Millner, Donald J. Robinaugh, Matthew K. Nock
Trends in Cognitive Sciences (2020) Vol. 24, Iss. 9, pp. 704-716
Open Access | Times Cited: 117
Variation in patterns of health care before suicide: A population case-control study
Brian K. Ahmedani, Joslyn Westphal, Kirsti Autio, et al.
Preventive Medicine (2019) Vol. 127, pp. 105796-105796
Open Access | Times Cited: 105
Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough?
Nicholas B. Allen, Benjamin W. Nelson, David A. Brent, et al.
Journal of Affective Disorders (2019) Vol. 250, pp. 163-169
Open Access | Times Cited: 104
First onset of suicidal thoughts and behaviours in college
Philippe Mortier, Koen Demyttenaere, Randy P. Auerbach, et al.
Journal of Affective Disorders (2016) Vol. 207, pp. 291-299
Open Access | Times Cited: 100
The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors
Trehani M. Fonseka, Venkat Bhat, Sidney H. Kennedy
Australian & New Zealand Journal of Psychiatry (2019) Vol. 53, Iss. 10, pp. 954-964
Open Access | Times Cited: 94
Translating promise into practice: a review of machine learning in suicide research and prevention
Olivia J Kirtley, Kasper van Mens, Mark Hoogendoorn, et al.
The Lancet Psychiatry (2022) Vol. 9, Iss. 3, pp. 243-252
Open Access | Times Cited: 59
Improving Suicide Prevention Through Evidence-Based Strategies: A Systematic Review
J. John Mann, Christina A. Michel, Randy P. Auerbach
FOCUS The Journal of Lifelong Learning in Psychiatry (2023) Vol. 21, Iss. 2, pp. 182-196
Open Access | Times Cited: 24
Meaningless comparisons lead to false optimism in medical machine learning
Orianna DeMasi, Konrad P. Körding, Benjamin Recht
PLoS ONE (2017) Vol. 12, Iss. 9, pp. e0184604-e0184604
Open Access | Times Cited: 67
Identifying the relative importance of non-suicidal self-injury features in classifying suicidal ideation, plans, and behavior using exploratory data mining
Taylor A. Burke, Ross Jacobucci, Brooke A. Ammerman, et al.
Psychiatry Research (2018) Vol. 262, pp. 175-183
Open Access | Times Cited: 66
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