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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:

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

Showing 1-25 of 47 citing articles:

Machine Learning and Natural Language Processing in Mental Health: Systematic Review
Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, et al.
Journal of Medical Internet Research (2020) Vol. 23, Iss. 5, pp. e15708-e15708
Open Access | Times Cited: 358
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
Ethics & AI: A Systematic Review on Ethical Concerns and Related Strategies for Designing with AI in Healthcare
Fan Li, Nick Ruijs, Yuan Lü
AI (2022) Vol. 4, Iss. 1, pp. 28-53
Open Access | Times Cited: 89
Use of Ecological Momentary Assessment to Study Suicidal Thoughts and Behavior: a Systematic Review
Alba Sedano-Capdevila, Alejandro Porras‐Segovia, Hugo J. Bello, et al.
Current Psychiatry Reports (2021) Vol. 23, Iss. 7
Closed Access | Times Cited: 102
Stigma, biomarkers, and algorithmic bias: recommendations for precision behavioral health with artificial intelligence
Colin G. Walsh, Beenish Moalla Chaudhry, Prerna Dua, et al.
JAMIA Open (2020) Vol. 3, Iss. 1, pp. 9-15
Open Access | Times Cited: 96
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
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
Shaoxiong Ji, Shirui Pan, Xue Li, et al.
IEEE Transactions on Computational Social Systems (2020) Vol. 8, Iss. 1, pp. 214-226
Open Access | Times Cited: 70
Artificial Intelligence, Social Media and Depression. A New Concept of Health-Related Digital Autonomy
Sebastian Laacke, Regina Mueller, Georg Schomerus, et al.
The American Journal of Bioethics (2021) Vol. 21, Iss. 7, pp. 4-20
Closed Access | Times Cited: 60
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
Prognostic models will be victims of their own success, unless…
Matthew C Lenert, Michael E. Matheny, Colin G. Walsh
Journal of the American Medical Informatics Association (2019) Vol. 26, Iss. 12, pp. 1645-1650
Open Access | Times Cited: 74
Information and Communication Technology Use in Suicide Prevention: Scoping Review
Jessica Rassy, Cécile Bardon, Luc Dargis, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 5, pp. e25288-e25288
Open Access | Times Cited: 55
A Critical Review of Text Mining Applications for Suicide Research
Jennifer M. Boggs, Julie M. Kafka
Current Epidemiology Reports (2022) Vol. 9, Iss. 3, pp. 126-134
Open Access | Times Cited: 20
Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review
Prabal Datta Barua, Jahmunah Vicnesh, Oh Shu Lih, et al.
Cognitive Neurodynamics (2022) Vol. 18, Iss. 1, pp. 1-22
Open Access | Times Cited: 20
Evaluating the ability of artificial intelligence to predict suicide: A systematic review of reviews
Salma Abdelmoteleb, Muhammad Ghallab, Waguih William IsHak
Journal of Affective Disorders (2025)
Closed Access
Precision Medicine and Suicide: an Opportunity for Digital Health
María Luisa Barrigón, Philippe Courtet, María A. Oquendo, et al.
Current Psychiatry Reports (2019) Vol. 21, Iss. 12
Closed Access | Times Cited: 29
Risky business: a scoping review for communicating results of predictive models between providers and patients
Colin G. Walsh, Mollie M. McKillop, Patricia Lee, et al.
JAMIA Open (2021) Vol. 4, Iss. 4
Open Access | Times Cited: 21
Ethical considerations in the early detection of Alzheimer's disease using speech and AI
Ulla Petti, Rune Nyrup, Jeffrey M. Skopek, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2023), pp. 1062-1075
Open Access | Times Cited: 9
Does machine-learning-based prediction of suicide risk actually reduce rates of suicide: A critical examination
Joseph Thornton, Rajiv Tandon
Asian Journal of Psychiatry (2023) Vol. 88, pp. 103769-103769
Closed Access | Times Cited: 9
The Ethics of Risk Prediction for Psychosis and Suicide Attempt in Youth Mental Health
William Smith, Paul S. Appelbaum, Matthew S. Lebowitz, et al.
The Journal of Pediatrics (2023) Vol. 263, pp. 113583-113583
Open Access | Times Cited: 8
Canada protocol: An ethical checklist for the use of artificial Intelligence in suicide prevention and mental health
Carl‐Maria Mörch, Abhishek Gupta, Brian L. Mishara
Artificial Intelligence in Medicine (2020) Vol. 108, pp. 101934-101934
Open Access | Times Cited: 19
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks
Annika Marie Schoene, Lana Bojanić, Minh-Quoc Nghiem, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 1791-1802
Closed Access | Times Cited: 12
Structured data vs. unstructured data in machine learning prediction models for suicidal behaviors: A systematic review and meta-analysis
Danielle Hopkins, Debra Rickwood, David John Hallford, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 9
From everyday life predictions to suicide prevention: Clinical and ethical considerations in suicide predictive analytic tools
Jeremy W. Luk, Larry D. Pruitt, Derek J. Smolenski, et al.
Journal of Clinical Psychology (2021) Vol. 78, Iss. 2, pp. 137-148
Closed Access | Times Cited: 12
Workplace health surveillance and COVID-19: algorithmic health discrimination and cancer survivors
Paul Harpur, Fitore Hyseni, Peter Blanck
Journal of Cancer Survivorship (2022) Vol. 16, Iss. 1, pp. 200-212
Open Access | Times Cited: 6
Technology for Our Future? Exploring the Duty to Report and Processes of Subjectification Relating to Digitalized Suicide Prevention
Tineke Broer
Information (2020) Vol. 11, Iss. 3, pp. 170-170
Open Access | Times Cited: 6
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