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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 76-100 of 150 citing articles:

Modes of Resting Functional Brain Organization Differentiate Suicidal Thoughts and Actions
Ricardo Cáceda, Keith Bush, G. Andrew James, et al.
The Journal of Clinical Psychiatry (2018) Vol. 79, Iss. 4
Open Access | Times Cited: 24
Discovering the Unclassified Suicide Cases Among Undetermined Drug Overdose Deaths Using Machine Learning Techniques
Daphne Liu, Mia Yu, Jeffrey Duncan, et al.
Suicide and Life-Threatening Behavior (2019) Vol. 50, Iss. 2, pp. 333-344
Closed Access | Times Cited: 23
Reaching Those at Highest Risk for Suicide: Development of a Model Using Machine Learning Methods for use With Native American Communities
Emily E. Haroz, Colin G. Walsh, Novalene Goklish, et al.
Suicide and Life-Threatening Behavior (2019) Vol. 50, Iss. 2, pp. 422-436
Open Access | Times Cited: 23
Using machine learning to predict suicide in the 30 days after discharge from psychiatric hospital in Denmark
Tammy Jiang, Anthony J. Rosellini, Erzsébet Horváth‐Puhó, et al.
The British Journal of Psychiatry (2021) Vol. 219, Iss. 2, pp. 440-447
Open Access | Times Cited: 20
5-year incidence of suicide-risk in youth: A gradient tree boosting and SHAP study
Pedro L. Ballester, Taiane de Azevedo Cardoso, Fernanda Pedrotti Moreira, et al.
Journal of Affective Disorders (2021) Vol. 295, pp. 1049-1056
Closed Access | Times Cited: 19
Universal screening may not prevent suicide
Paul S. Nestadt, Patrick Triplett, Ramin Mojtabai, et al.
General Hospital Psychiatry (2018) Vol. 63, pp. 14-15
Open Access | Times Cited: 23
Machine learning-guided intervention trials to predict treatment response at an individual patient level: an important second step following randomized clinical trials
Ives Cavalcante Passos, Benson Mwangi
Molecular Psychiatry (2018) Vol. 25, Iss. 4, pp. 701-702
Closed Access | Times Cited: 23
Predeployment predictors of psychiatric disorder‐symptoms and interpersonal violence during combat deployment
Anthony J. Rosellini, Murray B. Stein, David M. Benedek, et al.
Depression and Anxiety (2018) Vol. 35, Iss. 11, pp. 1073-1080
Open Access | Times Cited: 21
Identifying risk factors for suicidal ideation across a large community healthcare system
Emily Schriver, Shari Lieblich, Reem AlRabiah, et al.
Journal of Affective Disorders (2020) Vol. 276, pp. 1038-1045
Closed Access | Times Cited: 19
A Machine Learning Approach to Predicting New‐onset Depression in a Military Population
Laura Sampson, Tammy Jiang, Jaimie L. Gradus, et al.
Psychiatric Research and Clinical Practice (2021) Vol. 3, Iss. 3, pp. 115-122
Open Access | Times Cited: 16
Predicting suicide attempts and suicide deaths among adolescents following outpatient visits
Robert B. Penfold, Eric Johnson, Susan M. Shortreed, et al.
Journal of Affective Disorders (2021) Vol. 294, pp. 39-47
Open Access | Times Cited: 16
Clinical implementation of suicide risk prediction models in healthcare: a qualitative study
Bobbi Jo H. Yarborough, Scott P. Stumbo, Jennifer L. Schneider, et al.
BMC Psychiatry (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 12
Predicting suicidality with small sets of interpretable reward behavior and survey variables
Shamal Lalvani, Sumra Bari, Nicole L. Vike, et al.
Nature Mental Health (2024) Vol. 2, Iss. 7, pp. 773-786
Open Access | Times Cited: 2
The Intersectionality of Factors Predicting Co-occurring Disorders: A Decision Tree Model
Saahoon Hong, Hea‐Won Kim, Betty A. Walton, et al.
International Journal of Mental Health and Addiction (2024)
Closed Access | Times Cited: 2
Utilization of and barriers to treatment among suicide decedents: Results from the Army Study to Assess Risk and Resilience Among Servicemembers (Army STARRS).
Kelly L. Zuromski, Catherine L. Dempsey, Tsz Hin Hinz Ng, et al.
Journal of Consulting and Clinical Psychology (2019) Vol. 87, Iss. 8, pp. 671-683
Open Access | Times Cited: 19
Identifying long-term and imminent suicide predictors in a general population and a clinical sample with machine learning
Lloyd Balbuena, Marilyn Baetz, Joseph Andrew Sexton, et al.
BMC Psychiatry (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 10
Medically Documented Suicide Ideation Among U.S. Army Soldiers
Robert J. Ursano, Ronald C. Kessler, Murray B. Stein, et al.
Suicide and Life-Threatening Behavior (2016) Vol. 47, Iss. 5, pp. 612-628
Open Access | Times Cited: 16
Machine Learning to Classify Suicidal Thoughts and Behaviors: Implementation Within the Common Data Elements Used by the Military Suicide Research Consortium
Andrew K. Littlefield, Jeffrey T. Cooke, Courtney L. Bagge, et al.
Clinical Psychological Science (2021) Vol. 9, Iss. 3, pp. 467-481
Closed Access | Times Cited: 13
Using Machine Learning to Examine Suicidal Ideation After Traumatic Brain Injury
Lauren Fisher, Joshua Curtiss, Daniel W. Klyce, et al.
American Journal of Physical Medicine & Rehabilitation (2022)
Closed Access | Times Cited: 9
Structured data vs. unstructured data in machine learning prediction models for suicidal behaviors: A systematic review and meta-analysis
Danielle Hopkins, Debra Rickwood, David John Hallford, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 9
Prediction models of suicide and non‐fatal suicide attempt after discharge from a psychiatric inpatient stay: A machine learning approach on nationwide Danish registers
Sara Dorthea Nielsen, Rune Haubo Bojesen Christensen, Trine Madsen, et al.
Acta Psychiatrica Scandinavica (2023) Vol. 148, Iss. 6, pp. 525-537
Open Access | Times Cited: 5
Suicides, homicides, accidents, and undetermined deaths in the U.S. military: comparisons to the U.S. population and by military separation status
Mark A. Reger, Derek J. Smolenski, Nancy A. Skopp, et al.
Annals of Epidemiology (2017) Vol. 28, Iss. 3, pp. 139-146.e1
Closed Access | Times Cited: 15
Predicting Suicidal Behavior Without Asking About Suicidal Ideation: Machine Learning and the Role of Borderline Personality Disorder Criteria
Adam Horvath, Mark Dras, Catie C. W. Lai, et al.
Suicide and Life-Threatening Behavior (2020) Vol. 51, Iss. 3, pp. 455-466
Closed Access | Times Cited: 13
A Review of Genome-Based Precision Medicine Efforts Within the Department of Defense
Lucas Poon, Elaine D. Por, Hyun Joon Cho, et al.
Military Medicine (2021) Vol. 187, Iss. Supplement_1, pp. 25-31
Open Access | Times Cited: 12
A Framework for Automatic Categorization of Social Data Into Medical Domains
Gaurav Sharma, Gautam Srivastava, Vijay Mago
IEEE Transactions on Computational Social Systems (2019) Vol. 7, Iss. 1, pp. 129-140
Closed Access | Times Cited: 13

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