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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 1-25 of 429 citing articles:

Risk factors for suicidal thoughts and behaviors: A meta-analysis of 50 years of research.
Joseph C. Franklin, Jessica D. Ribeiro, Kathryn R. Fox, et al.
Psychological Bulletin (2016) Vol. 143, Iss. 2, pp. 187-232
Closed Access | Times Cited: 3057
Self-injurious thoughts and behaviors as risk factors for future suicide ideation, attempts, and death: a meta-analysis of longitudinal studies
Jessica D. Ribeiro, Joseph C. Franklin, Kathryn R. Fox, et al.
Psychological Medicine (2015) Vol. 46, Iss. 2, pp. 225-236
Open Access | Times Cited: 1077
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
Depression and hopelessness as risk factors for suicide ideation, attempts and death: meta-analysis of longitudinal studies
Jessica D. Ribeiro, Xieyining Huang, Kathryn R. Fox, et al.
The British Journal of Psychiatry (2018) Vol. 212, Iss. 5, pp. 279-286
Open Access | Times Cited: 653
Cross-trial prediction of treatment outcome in depression: a machine learning approach
Adam M. Chekroud, Ryan Zotti, Zarrar Shehzad, et al.
The Lancet Psychiatry (2016) Vol. 3, Iss. 3, pp. 243-250
Closed Access | Times Cited: 579
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
Suicide Rates After Discharge From Psychiatric Facilities
D. Chung, Christopher Ryan, Dušan Pavlović, et al.
JAMA Psychiatry (2017) Vol. 74, Iss. 7, pp. 694-694
Open Access | Times Cited: 503
Annual Research Review: Suicide among youth – epidemiology, (potential) etiology, and treatment
B. Christine, Peter Franz, Eleonora M. Guzmán, et al.
Journal of Child Psychology and Psychiatry (2017) Vol. 59, Iss. 4, pp. 460-482
Open Access | Times Cited: 491
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
Predicting Suicidal Behavior From Longitudinal Electronic Health Records
Yuval Barak‐Corren, Víctor M. Castro, Solomon Javitt, et al.
American Journal of Psychiatry (2016) Vol. 174, Iss. 2, pp. 154-162
Open Access | Times Cited: 309
The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)
Robert J. Ursano, Lisa J. Colpe, Steven G. Heeringa, et al.
Psychiatry (2014) Vol. 77, Iss. 2, pp. 107-119
Open Access | Times Cited: 257
Predictive Modeling and Concentration of the Risk of Suicide: Implications for Preventive Interventions in the US Department of Veterans Affairs
John F. McCarthy, Robert M. Bossarte, Ira R. Katz, et al.
American Journal of Public Health (2015) Vol. 105, Iss. 9, pp. 1935-1942
Open Access | Times Cited: 218
Meta-Analysis of Longitudinal Cohort Studies of Suicide Risk Assessment among Psychiatric Patients: Heterogeneity in Results and Lack of Improvement over Time
Matthew Large, Muthusamy Kaneson, Nicholas Myles, et al.
PLoS ONE (2016) Vol. 11, Iss. 6, pp. e0156322-e0156322
Open Access | Times Cited: 217
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
RETRACTED ARTICLE: Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth
Marcel Adam Just, Lisa Pan, Vladimir L. Cherkassky, et al.
Nature Human Behaviour (2017) Vol. 1, Iss. 12, pp. 911-919
Open Access | Times Cited: 204
Suicidal ideation and subsequent completed suicide in both psychiatric and non-psychiatric populations: a meta-analysis
Anna A.M. Hubers, Saïda Moaddine, Shosha H. M. Peersmann, et al.
Epidemiology and Psychiatric Sciences (2016) Vol. 27, Iss. 2, pp. 186-198
Open Access | Times Cited: 203
Short-term Suicide Risk After Psychiatric Hospital Discharge
Mark Olfson, Melanie M. Wall, Shuai Wang, et al.
JAMA Psychiatry (2016) Vol. 73, Iss. 11, pp. 1119-1119
Open Access | Times Cited: 188
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
Machine learning and systems genomics approaches for multi-omics data
Eugene Lin, Hsien‐Yuan Lane
Biomarker Research (2017) Vol. 5, Iss. 1
Open Access | Times Cited: 171
Suicide prediction models: a critical review of recent research with recommendations for the way forward
Ronald C. Kessler, Robert M. Bossarte, Alex Luedtke, et al.
Molecular Psychiatry (2019) Vol. 25, Iss. 1, pp. 168-179
Open Access | Times Cited: 169
Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value
Catherine McHugh, Amy Corderoy, Christopher Ryan, et al.
BJPsych Open (2019) Vol. 5, Iss. 2
Open Access | Times Cited: 168
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