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:

Integration of Face-to-Face Screening With Real-time Machine Learning to Predict Risk of Suicide Among Adults
Drew Wilimitis, Robert W. Turer, Michael Ripperger, et al.
JAMA Network Open (2022) Vol. 5, Iss. 5, pp. e2212095-e2212095
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Machine Learning–Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts
Hojae Lee, Joong Ki Cho, Jaeyu Park, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e51473-e51473
Open Access | Times Cited: 22

An efficient landmark model for prediction of suicide attempts in multiple clinical settings
Yi-han Sheu, Jiehuan Sun, Hyunjoon Lee, et al.
Psychiatry Research (2023) Vol. 323, pp. 115175-115175
Open Access | Times Cited: 11

Risk Model–Guided Clinical Decision Support for Suicide Screening
Colin G. Walsh, Michael Ripperger, Laurie L. Novak, et al.
JAMA Network Open (2025) Vol. 8, Iss. 1, pp. e2452371-e2452371
Open Access

Predicting suicide attempts among US Army soldiers using information available at the time of periodic health assessments
James A. Naifeh, Emily Edwards, Kate H. Bentley, et al.
Nature Mental Health (2025)
Closed Access

The Goldilocks Zone: Finding the right balance of user and institutional risk for suicide-related generative AI queries
Anna Van Meter, Michael G. Wheaton, Victoria E. Cosgrove, et al.
PLOS Digital Health (2025) Vol. 4, Iss. 1, pp. e0000711-e0000711
Open Access

Validation of a machine learning model for indirect screening of suicidal ideation in the general population
Polona Rus Prelog, Teodora Matić, Peter Pregelj, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Let’s Move Towards Precision Suicidology
Philippe Courtet, Pilar A. Sáiz
Current Psychiatry Reports (2025)
Closed Access

Clinician Suicide Risk Assessment for Prediction of Suicide Attempt in a Large Health Care System
Kate H. Bentley, Chris J. Kennedy, Pratik N. Khadse, et al.
JAMA Psychiatry (2025)
Closed Access

Identifying patients at risk of suicide using data from health information exchanges
Shane J. Sacco, Kun Chen, Jun Jin, et al.
BMC Public Health (2025) Vol. 25, Iss. 1
Open Access

Emergency department visits and boarding for pediatric patients with suicidality before and during the COVID-19 pandemic
Amy R. Zipursky, Karen L. Olson, Louisa Bode, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0286035-e0286035
Open Access | Times Cited: 10

Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
(2024)
Closed Access | Times Cited: 3

Thoth: An intelligent model for assisting individuals with suicidal ideation
Wesllei Felipe Heckler, Luan Paris Feijó, Juliano Varella de Carvalho, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120918-120918
Closed Access | Times Cited: 9

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

Automation in Contemporary Clinical Information Systems: a Survey of AI in Healthcare Settings
Farah Magrabi, David Lyell, Enrico Coiera
Yearbook of Medical Informatics (2023) Vol. 32, Iss. 01, pp. 115-126
Open Access | Times Cited: 6

Predicting suicide death after emergency department visits with mental health or self-harm diagnoses
Gregory E. Simon, Eric Johnson, Susan M. Shortreed, et al.
General Hospital Psychiatry (2024) Vol. 87, pp. 13-19
Closed Access | Times Cited: 1

Scalable incident detection via natural language processing and probabilistic language models
Colin G. Walsh, Drew Wilimitis, Qingxia Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Automatically extracting social determinants of health for suicide: a narrative literature review
Annika Marie Schoene, Suzanne Garverich, Iman Ibrahim, et al.
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1

Accuracy of ICD-10 Codes for Suicidal Ideation and Action in Pediatric Emergency Department Encounters
Rena Xu, Louisa Bode, Alon Geva, et al.
Pediatric Emergency Care (2024)
Closed Access | Times Cited: 1

Suicide Risk Assessment, Management, and Mitigation in the Emergency Setting
Seth M. Powsner, Deborah Goebert, Janet S. Richmond, et al.
FOCUS The Journal of Lifelong Learning in Psychiatry (2023) Vol. 21, Iss. 1, pp. 8-17
Open Access | Times Cited: 2

External Validation and Updating of a Statistical Civilian-Based Suicide Risk Model in US Naval Primary Care
Michael Ripperger, Jhansi Kolli, Drew Wilimitis, et al.
JAMA Network Open (2023) Vol. 6, Iss. 11, pp. e2342750-e2342750
Open Access | Times Cited: 2

Randomized Controlled Comparative Effectiveness Trial of Risk Model-Guided Clinical Decision Support for Suicide Screening
Colin G. Walsh, Michael Ripperger, Laurie L. Novak, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Evolution in the health ecosystem: Cutting-edge technologies and important issues for improved health and mental health in the ongoing COVID-19 recovery
Andrew J. Greenshaw, Jasmine M. Noble, Judy Kuriansky, et al.
Elsevier eBooks (2024), pp. 361-372
Closed Access

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