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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:

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

Showing 23 citing articles:

Artificial intelligence and suicide prevention: A systematic review
Alban Lejeune, Aziliz Le Glaz, Pierre-Antoine Perron, et al.
European Psychiatry (2022) Vol. 65, Iss. 1
Open Access | Times Cited: 55
The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: a systematic review
Nibene Habib Somé, Pardis Noormohammadpour, Shannon Lange
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 6
Suicide in the pediatric population: screening, risk assessment and treatment
Mary Cwik, Victoria M. O’Keefe, Emily E. Haroz
International Review of Psychiatry (2020) Vol. 32, Iss. 3, pp. 254-264
Open Access | Times Cited: 40
Comparing the predictive value of screening to the use of electronic health record data for detecting future suicidal thoughts and behavior in an urban pediatric emergency department: A preliminary analysis
Emily E. Haroz, Christopher Kitchen, Paul S. Nestadt, et al.
Suicide and Life-Threatening Behavior (2021) Vol. 51, Iss. 6, pp. 1189-1202
Open Access | Times Cited: 24
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
Performance of Machine Learning Suicide Risk Models in an American Indian Population
Emily E. Haroz, Paul Rebman, Novalene Goklish, et al.
JAMA Network Open (2024) Vol. 7, Iss. 10, pp. e2439269-e2439269
Open Access | Times Cited: 3
Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers
Emily E. Haroz, Fiona Grubin, Novalene Goklish, et al.
JMIR Public Health and Surveillance (2021) Vol. 7, Iss. 9, pp. e24377-e24377
Open Access | Times Cited: 19
A Comprehensive Review of Computer-Aided Diagnosis of Major Mental and Neurological Disorders and Suicide: A Biostatistical Perspective on Data Mining
Mahsa Mansourian, Sadaf Khademi, Hamid Reza Marateb
Diagnostics (2021) Vol. 11, Iss. 3, pp. 393-393
Open Access | Times Cited: 16
Machine learning applications in studying mental health among immigrants and racial and ethnic minorities: an exploratory scoping review
Khushbu Khatri Park, Mohammad Saleem, Mohammed Ali Al-Garadi, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Who is analysing what? The opportunities, risks and implications of using predictive risk modelling with Indigenous Australians in child protection: A scoping review
Jacynta Krakouer, Wei Wu Tan, Arno Parolini
Australian Journal of Social Issues (2021) Vol. 56, Iss. 2, pp. 173-197
Closed Access | Times Cited: 13
Validating a predictive algorithm for suicide risk with Alaska Native populations
Jennifer L. Shaw, Julie A. Beans, Carolyn Noonan, et al.
Suicide and Life-Threatening Behavior (2022) Vol. 52, Iss. 4, pp. 696-704
Open Access | Times Cited: 8
Leveraging data science to enhance suicide prevention research: a literature review
Avital Rachelle Wulz, Royal Law, Jing Wang, et al.
Injury Prevention (2021) Vol. 28, Iss. 1, pp. 74-80
Open Access | Times Cited: 11
Factors Associated With Suicide in Four West African Countries Among Adolescent Students: An Analysis Using the Global School-Based Student Health Survey
Idiatou Diallo, Luke R. Aldridge, Judith Bass, et al.
Journal of Adolescent Health (2023) Vol. 73, Iss. 3, pp. 494-502
Closed Access | Times Cited: 4
Developing a Tool to Assess the Impact of Simulated Intervention Strategies on Suicide and Suicidal Behaviours in Canada: A Dynamic Modelling & Machine Learning Approach
Rifat Zahan, Jalen Mikuliak, Nathaniel Osgood
(2024)
Open Access | Times Cited: 1
Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
Information Fusion (2024), pp. 102673-102673
Closed 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
Sustaining suicide prevention programs in American Indian and Alaska Native communities and Tribal health centers
Emily E. Haroz, Lisa Wexler, Spero M. Manson, et al.
Implementation Research and Practice (2021) Vol. 2
Open Access | Times Cited: 6
Artificial Intelligence–Based Student Activity Monitoring for Suicide Risk: Considerations for K–12 Schools, Caregivers, Government, and Technology Developers
Lynsay Ayer, Benjamin Boudreaux, Jessica Welburn Paige, et al.
RAND Corporation eBooks (2023)
Open Access | Times Cited: 2
Developing a suicide risk model for use in the Indian Health Service
Roy J. Adams, Emily E. Haroz, Paul Rebman, et al.
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access
Suicide After Stroke in the United States Veteran Health Administration Population
Jordan M Wyrwa, Tyler Shirel, Trisha A. Hostetter, et al.
Archives of Physical Medicine and Rehabilitation (2021) Vol. 102, Iss. 9, pp. 1729-1734
Closed Access | Times Cited: 3
Comparing the predictive value of suicide risk screening to the detection of suicide risk using electronic health records in an urban pediatric emergency department
Emily E. Haroz, Christopher Kitchen, Paul S. Nestadt, et al.
medRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 2
Machine Learning Applications in Studying Mental Health Among Immigrants and Racial and Ethnic Minorities: An Exploratory Review
Khushbu Khatri Park, Abdulaziz Ahmed, Mohammed Ali Al-Garadi
Research Square (Research Square) (2023)
Open Access
Designing a Clinical Decision Support Tool That Leverages Machine Learning for Suicide Risk Prediction: Development Study in Partnership With Native American Care Providers (Preprint)
Emily E. Haroz, Fiona Grubin, Novalene Goklish, et al.
(2020)
Open Access
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