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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:

Improving risk prediction accuracy for new soldiers in the U.S. Army by adding self-report survey data to administrative data
Samantha L. Bernecker, Anthony J. Rosellini, Matthew K. Nock, et al.
BMC Psychiatry (2018) Vol. 18, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps
John Torous, Mark Larsen, Colin A. Depp, et al.
Current Psychiatry Reports (2018) Vol. 20, Iss. 7
Closed Access | Times Cited: 187
Risk Factors Associated With Attempted Suicide Among US Army Soldiers Without a History of Mental Health Diagnosis
Robert J. Ursano, Ronald C. Kessler, James A. Naifeh, et al.
JAMA Psychiatry (2018) Vol. 75, Iss. 10, pp. 1022-1022
Open Access | Times Cited: 41
Transition to suicide attempt from recent suicide ideation in U.S. Army soldiers: Results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)
James A. Naifeh, Robert J. Ursano, Ronald C. Kessler, et al.
Depression and Anxiety (2018) Vol. 36, Iss. 5, pp. 412-422
Open Access | Times Cited: 32
Machine learning for suicidology: A practical review of exploratory and hypothesis-driven approaches
Christopher R. Cox, Emma H. Moscardini, Alex S. Cohen, et al.
Clinical Psychology Review (2020) Vol. 82, pp. 101940-101940
Open Access | Times Cited: 31
Pre-deployment predictors of suicide attempt during and after combat deployment: Results from the Army Study to Assess Risk and Resilience in Servicemembers
Kelly L. Zuromski, Samantha L. Bernecker, Carol Chu, et al.
Journal of Psychiatric Research (2019) Vol. 121, pp. 214-221
Open Access | Times Cited: 16
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
<p>Machine Learning Methods to Evaluate the Depression Status of Chinese Recruits: A Diagnostic Study</p>
Mengxue Zhao, Zhengzhi Feng
Neuropsychiatric Disease and Treatment (2020) Vol. Volume 16, pp. 2743-2752
Open Access | Times Cited: 11
Sex Differences in US Army Suicide Attempts During the Wars in Iraq and Afghanistan
James A. Naifeh, Holly B. Herberman Mash, Murray B. Stein, et al.
Medical Care (2021) Vol. 59, pp. S42-S50
Open Access | Times Cited: 9
Association of Premilitary Mental Health With Suicide Attempts During US Army Service
James A. Naifeh, Robert J. Ursano, Murray B. Stein, et al.
JAMA Network Open (2022) Vol. 5, Iss. 6, pp. e2214771-e2214771
Open Access | Times Cited: 5
Suicidal Thoughts, Behaviors, and Event-Related Potentials: A Systematic Review and Meta-Analysis
Austin J. Gallyer, Sean Dougherty, Kreshnik Burani, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 2
Diagnosis and Severity of Depression Disease in Individuals with Artificial Neural Networks Method
Resul BÜTÜNER, Hakan Yüksel
International Journal of Intelligent Systems and Applications in Engineering (2021) Vol. 9, Iss. 2, pp. 55-63
Open Access | Times Cited: 2
The Relationship Between Family-Friendly Workplace Policies and Accountant Turnover

Journal of Organizational Psychology (2022) Vol. 22, Iss. 1
Open Access
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