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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 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

Showing 1-25 of 328 citing articles:

Suicide and suicide risk
Gustavo Turecki, David A. Brent, David Gunnell, et al.
Nature Reviews Disease Primers (2019) Vol. 5, Iss. 1
Open Access | Times Cited: 782
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
Understanding Links among Opioid Use, Overdose, and Suicide
Amy S. B. Bohnert, Mark A. Ilgen
New England Journal of Medicine (2019) Vol. 380, Iss. 1, pp. 71-79
Open Access | Times Cited: 274
Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review
Elias Hossain, Rajib Rana, Niall Higgins, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106649-106649
Open Access | Times Cited: 170
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
Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice
Gonzalo Salazar de Pablo, Erich Studerus, Julio Vaquerizo‐Serrano, et al.
Schizophrenia Bulletin (2020) Vol. 47, Iss. 2, pp. 284-297
Open Access | Times Cited: 162
Mental health care for older adults: recent advances and new directions in clinical practice and research
Charles F. Reynolds, Dilip V. Jeste, Perminder S. Sachdev, et al.
World Psychiatry (2022) Vol. 21, Iss. 3, pp. 336-363
Open Access | Times Cited: 162
Machine learning model to predict mental health crises from electronic health records
Roger Garriga, Javier Mas, Semhar Abraha, et al.
Nature Medicine (2022) Vol. 28, Iss. 6, pp. 1240-1248
Open Access | Times Cited: 100
AI-assisted prediction of differential response to antidepressant classes using electronic health records
Yi-han Sheu, Colin Magdamo, Matthew Miller, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 45
Understanding Why Patients May Not Report Suicidal Ideation at a Health Care Visit Prior to a Suicide Attempt: A Qualitative Study
Julie Richards, Ursula Whiteside, Evette Ludman, et al.
Psychiatric Services (2018) Vol. 70, Iss. 1, pp. 40-45
Open Access | Times Cited: 131
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
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
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
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
Natural language processing and machine learning of electronic health records for prediction of first-time suicide attempts
Fuchiang Tsui, Lingyun Shi, Vı́ctor Ruiz, et al.
JAMIA Open (2021) Vol. 4, Iss. 1
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
Columbia-Suicide Severity Rating Scale Screen Version: initial screening for suicide risk in a psychiatric emergency department
Johan Bjureberg, Marie Dahlin, Andreas Carlborg, et al.
Psychological Medicine (2021) Vol. 52, Iss. 16, pp. 3904-3912
Open Access | Times Cited: 64
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
Using weak supervision and deep learning to classify clinical notes for identification of current suicidal ideation
Marika Cusick, Prakash Adekkanattu, Thomas R. Campion, et al.
Journal of Psychiatric Research (2021) Vol. 136, pp. 95-102
Open Access | Times Cited: 58
Effect of Offering Care Management or Online Dialectical Behavior Therapy Skills Training vs Usual Care on Self-harm Among Adult Outpatients With Suicidal Ideation
Gregory E. Simon, Susan M. Shortreed, Rebecca C. Rossom, et al.
JAMA (2022) Vol. 327, Iss. 7, pp. 630-630
Open Access | Times Cited: 58
TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records
Zhichao Yang, Avijit Mitra, Weisong Liu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 39
Machine and deep learning for longitudinal biomedical data: a review of methods and applications
Anna Cascarano, Jordi Mur-Petit, Jerónimo Hernández-González, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 1711-1771
Open Access | Times Cited: 33
Harnessing Artificial Intelligence: Strategies for Mental Health Nurses in Optimizing Psychiatric Patient Care
Abdulqadir J. Nashwan, Suzan Gharib, Majdi Alhadidi, et al.
Issues in Mental Health Nursing (2023) Vol. 44, Iss. 10, pp. 1020-1034
Closed Access | Times Cited: 29
The Lancet Commission on self-harm
Paul Moran, Amy Chandler, Pat Dudgeon, et al.
The Lancet (2024) Vol. 404, Iss. 10461, pp. 1445-1492
Closed Access | Times Cited: 13
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