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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 Psychiatric Hospitalization in US Army Soldiers
Ronald C. Kessler, Christopher H. Warner, Christopher Ivany, et al.
JAMA Psychiatry (2014) Vol. 72, Iss. 1, pp. 49-49
Open Access | Times Cited: 429

Showing 51-75 of 429 citing articles:

Individualized Prediction and Clinical Staging of Bipolar Disorders Using Neuroanatomical Biomarkers
Benson Mwangi, Mon-Ju Wu, Bo Cao, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2016) Vol. 1, Iss. 2, pp. 186-194
Open Access | Times Cited: 102
Is suicidal behaviour a stronger predictor of later suicide than suicidal ideation? A systematic review and meta-analysis
Matthew Large, Amy Corderoy, Catherine McHugh
Australian & New Zealand Journal of Psychiatry (2020) Vol. 55, Iss. 3, pp. 254-267
Closed Access | Times Cited: 99
Identification of suicidal behavior among psychiatrically hospitalized adolescents using natural language processing and machine learning of electronic health records
Nicholas Carson, Brian Mullin, María José Sánchez Román, et al.
PLoS ONE (2019) Vol. 14, Iss. 2, pp. e0211116-e0211116
Open Access | Times Cited: 96
Machine learning for suicide risk prediction in children and adolescents with electronic health records
Chang Su, Robert H. Aseltine, Riddhi Doshi, et al.
Translational Psychiatry (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 96
New machine-learning technologies for computer-aided diagnosis
Charles J. Lynch, Conor Liston
Nature Medicine (2018) Vol. 24, Iss. 9, pp. 1304-1305
Closed Access | Times Cited: 95
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
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: 90
Can we usefully stratify patients according to suicide risk?
Matthew Large, Christopher Ryan, Gregory Carter, et al.
BMJ (2017), pp. j4627-j4627
Open Access | Times Cited: 89
Validation of an Electronic Health Record–Based Suicide Risk Prediction Modeling Approach Across Multiple Health Care Systems
Yuval Barak‐Corren, Víctor M. Castro, Matthew K. Nock, et al.
JAMA Network Open (2020) Vol. 3, Iss. 3, pp. e201262-e201262
Open Access | Times Cited: 87
Mental health, migration stressors and suicidal ideation among Latino immigrants in Spain and the United States
Lisa R. Fortuna, Kiara Álvarez, Z. Ramos Ortiz, et al.
European Psychiatry (2016) Vol. 36, pp. 15-22
Open Access | Times Cited: 86
Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value – ERRATUM
Catherine McHugh, Amy Corderoy, Christopher Ryan, et al.
BJPsych Open (2019) Vol. 5, Iss. 2
Open Access | Times Cited: 86
Association of Firearm Ownership, Use, Accessibility, and Storage Practices With Suicide Risk Among US Army Soldiers
Catherine L. Dempsey, David M. Benedek, Kelly L. Zuromski, et al.
JAMA Network Open (2019) Vol. 2, Iss. 6, pp. e195383-e195383
Open Access | Times Cited: 85
The prediction of suicide in severe mental illness: development and validation of a clinical prediction rule (OxMIS)
Seena Fazel, Achim Wolf, Henrik Larsson, et al.
Translational Psychiatry (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 78
Testing Suicide Risk Prediction Algorithms Using Phone Measurements With Patients in Acute Mental Health Settings: Feasibility Study
Alina Haines‐Delmont, Gurdit Chahal, Ashley Jane Bruen, et al.
JMIR mhealth and uhealth (2020) Vol. 8, Iss. 6, pp. e15901-e15901
Open Access | Times Cited: 74
Which PHQ-9 Items Can Effectively Screen for Suicide? Machine Learning Approaches
Sunhae Kim, Hye-Kyung Lee, Kounseok Lee
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 7, pp. 3339-3339
Open Access | Times Cited: 74
Racial/Ethnic Disparities in the Performance of Prediction Models for Death by Suicide After Mental Health Visits
R. Yates Coley, Eric Johnson, Gregory E. Simon, et al.
JAMA Psychiatry (2021) Vol. 78, Iss. 7, pp. 726-726
Open Access | Times Cited: 73
Evaluation of the Recovery Engagement and Coordination for Health–Veterans Enhanced Treatment Suicide Risk Modeling Clinical Program in the Veterans Health Administration
John F. McCarthy, Samantha A. Cooper, Kallisse R. Dent, et al.
JAMA Network Open (2021) Vol. 4, Iss. 10, pp. e2129900-e2129900
Open Access | Times Cited: 68
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
Prevalence of Major Depressive Disorder and Correlates of Thoughts of Death, Suicidal Behaviour, and Death by Suicide in the Geriatric Population—A General Review of Literature
Gloria Obuobi-Donkor, Nnamdi Nkire, Vincent I. O. Agyapong
Behavioral Sciences (2021) Vol. 11, Iss. 11, pp. 142-142
Open Access | Times Cited: 57
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
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
Post-discharge suicide prediction among US veterans using natural language processing-enriched social and behavioral determinants of health
Avijit Mitra, Kun Chen, Weisong Liu, et al.
npj Mental Health Research (2025) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Suicide Attempts in the US Army During the Wars in Afghanistan and Iraq, 2004 to 2009
Robert J. Ursano, Ronald C. Kessler, Murray B. Stein, et al.
JAMA Psychiatry (2015) Vol. 72, Iss. 9, pp. 917-917
Open Access | Times Cited: 85
Examining the role of sex in self-injurious thoughts and behaviors
Kathryn R. Fox, Alexander J. Millner, Cora Mukerji, et al.
Clinical Psychology Review (2017) Vol. 66, pp. 3-11
Open Access | Times Cited: 84
Big data are coming to psychiatry: a general introduction
Scott Monteith, Tasha Glenn, John Geddes, et al.
International Journal of Bipolar Disorders (2015) Vol. 3, Iss. 1
Open Access | Times Cited: 83

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