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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:

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

Showing 26-50 of 173 citing articles:

Challenges and Opportunities for Using Big Health Care Data to Advance Medical Science and Public Health
Susan M. Shortreed, Andrea J. Cook, R. Yates Coley, et al.
American Journal of Epidemiology (2019) Vol. 188, Iss. 5, pp. 851-861
Closed Access | Times Cited: 55
Prospective Validation of an Electronic Health Record–Based, Real-Time Suicide Risk Model
Colin G. Walsh, Kevin B. Johnson, Michael Ripperger, et al.
JAMA Network Open (2021) Vol. 4, Iss. 3, pp. e211428-e211428
Open Access | Times Cited: 55
Can machine-learning methods really help predict suicide?
Catherine McHugh, Matthew Large
Current Opinion in Psychiatry (2020) Vol. 33, Iss. 4, pp. 369-374
Closed Access | Times Cited: 51
The association of lung ultrasound images with COVID‐19 infection in an emergency room cohort
Stéphane Bar, A. Lecourtois, Momar Diouf, et al.
Anaesthesia (2020) Vol. 75, Iss. 12, pp. 1620-1625
Open Access | Times Cited: 51
Gender Differences in Lifetime Prevalence and Onset Timing of Suicidal Ideation and Suicide Attempt Among Post-9/11 Veterans and Nonveterans
Claire A. Hoffmire, Lindsey L. Monteith, Jeri E. Forster, et al.
Medical Care (2021) Vol. 59, pp. S84-S91
Closed Access | Times Cited: 49
Accuracy Requirements for Cost-effective Suicide Risk Prediction Among Primary Care Patients in the US
Eric L. Ross, Kelly L. Zuromski, Ben Y. Reis, et al.
JAMA Psychiatry (2021) Vol. 78, Iss. 6, pp. 642-642
Open Access | Times Cited: 48
Applying Machine Learning Approaches to Suicide Prediction Using Healthcare Data: Overview and Future Directions
Edwin D. Boudreaux, Elke A. Rundensteiner, Feifan Liu, et al.
Frontiers in Psychiatry (2021) Vol. 12
Open Access | Times Cited: 45
Artificial Intelligence: Review of Current and Future Applications in Medicine
L. Brannon Thomas, Stephen Mastorides, Narayan Viswanadhan, et al.
Federal practitioner (2021), Iss. 38 (11)
Open Access | Times Cited: 45
Suicidal behaviour prediction models using machine learning techniques: A systematic review
Noratikah Nordin, Zurinahni Zainol, Mohd Halim Mohd Noor, et al.
Artificial Intelligence in Medicine (2022) Vol. 132, pp. 102395-102395
Closed Access | Times Cited: 36
The performance of machine learning models in predicting suicidal ideation, attempts, and deaths: A meta-analysis and systematic review
Karen Kusuma, Mark Larsen, Juan C. Quiroz, et al.
Journal of Psychiatric Research (2022) Vol. 155, pp. 579-588
Closed Access | Times Cited: 35
Moral injury and peri- and post-military suicide attempts among post-9/11 veterans
Shira Maguen, Brandon J. Griffin, Dawne Vogt, et al.
Psychological Medicine (2022) Vol. 53, Iss. 7, pp. 3200-3209
Open Access | Times Cited: 34
High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning
Sayera Dhaubhadel, Kumkum Ganguly, Ruy M. Ribeiro, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Protecting Life While Preserving Liberty: Ethical Recommendations for Suicide Prevention With Artificial Intelligence
Lindsey C. McKernan, Ellen Wright Clayton, Colin G. Walsh
Frontiers in Psychiatry (2018) Vol. 9
Open Access | Times Cited: 47
Suicide and Traumatic Brain Injury Among Individuals Seeking Veterans Health Administration Services Between Fiscal Years 2006 and 2015
Trisha A. Hostetter, Claire A. Hoffmire, Jeri E. Forster, et al.
Journal of Head Trauma Rehabilitation (2019) Vol. 34, Iss. 5, pp. E1-E9
Open Access | Times Cited: 45
Recent trends in the rural–urban suicide disparity among veterans using VA health care
Brian Shiner, Talya Peltzman, Sarah L. Cornelius, et al.
Journal of Behavioral Medicine (2020) Vol. 44, Iss. 4, pp. 492-506
Closed Access | Times Cited: 41
Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier, and traditional logistic regression
Wessel A. van Eeden, Chuan Luo, Albert M. van Hemert, et al.
Psychiatry Research (2021) Vol. 299, pp. 113823-113823
Open Access | Times Cited: 39
Meta-analysis of the strength of exploratory suicide prediction models; from clinicians to computers
Michelle Corke, Katherine Mullin, Helena N. Angel-Scott, et al.
BJPsych Open (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 33
Reconciling Statistical and Clinicians’ Predictions of Suicide Risk
Gregory E. Simon, Bridget B. Matarazzo, Colin G. Walsh, et al.
Psychiatric Services (2021) Vol. 72, Iss. 5, pp. 555-562
Open Access | Times Cited: 33
Comparing mental and physical health of U.S. veterans by VA healthcare use: implications for generalizability of research in the VA electronic health records
David S. Fink, Malka Stohl, Zachary L. Mannes, et al.
BMC Health Services Research (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 27
Complex modeling with detailed temporal predictors does not improve health records-based suicide risk prediction
Susan M. Shortreed, Rod Walker, Eric Johnson, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 16
Integrating Predictive Modeling Into Mental Health Care: An Example in Suicide Prevention
Greg M. Reger, Mary Lou McClure, David Ruskin, et al.
Psychiatric Services (2018) Vol. 70, Iss. 1, pp. 71-74
Open Access | Times Cited: 43
Suicide in Transgender Veterans: Prevalence, Prevention, and Implications of Current Policy
Raymond P. Tucker
Perspectives on Psychological Science (2019) Vol. 14, Iss. 3, pp. 452-468
Closed Access | Times Cited: 39
Mortality among U.S. military participants at eight aboveground nuclear weapons test series
John D. Boice, Sarah S. Cohen, Michael T. Mumma, et al.
International Journal of Radiation Biology (2020) Vol. 98, Iss. 4, pp. 679-700
Closed Access | Times Cited: 39
The Role of Big Data Analytics in Predicting Suicide
Ronald C. Kessler, Samantha L. Bernecker, Robert M. Bossarte, et al.
Springer eBooks (2019), pp. 77-98
Closed Access | Times Cited: 37
Machine Learning to Differentiate Risk of Suicide Attempt and Self-harm After General Medical Hospitalization of Women With Mental Illness
Juliet Beni Edgcomb, Rohith Thiruvalluru, Jyotishman Pathak, et al.
Medical Care (2021) Vol. 59, pp. S58-S64
Open Access | Times Cited: 28

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