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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:

Machine learning in suicide science: Applications and ethics
Kathryn P. Linthicum, Katherine Musacchio Schafer, Jessica D. Ribeiro
Behavioral Sciences & the Law (2019) Vol. 37, Iss. 3, pp. 214-222
Closed Access | Times Cited: 130

Showing 1-25 of 130 citing articles:

Suicide and self-harm
Duleeka Knipe, Prianka Padmanathan, Giles Newton‐Howes, et al.
The Lancet (2022) Vol. 399, Iss. 10338, pp. 1903-1916
Open Access | Times Cited: 173
A Systematic Review of the Barriers to the Implementation of Artificial Intelligence in Healthcare
Molla Imaduddin Ahmed, Brendan Spooner, John Isherwood, et al.
Cureus (2023)
Open Access | Times Cited: 90
Operationalising ethics in artificial intelligence for healthcare: a framework for AI developers
Pravik Solanki, John Grundy, Waqar Hussain
AI and Ethics (2022) Vol. 3, Iss. 1, pp. 223-240
Open Access | Times Cited: 84
Which PHQ-9 Items Can Effectively Screen for Suicide? Machine Learning Approaches
Sunhae Kim, Hye-Kyung Lee, Kounseok Lee
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 7, pp. 3339-3339
Open Access | Times Cited: 74
Suicide Risk Assessment and Prevention: Challenges and Opportunities
Eileen P. Ryan, María A. Oquendo
FOCUS The Journal of Lifelong Learning in Psychiatry (2020) Vol. 18, Iss. 2, pp. 88-99
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
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
Ethical dilemmas posed by mobile health and machine learning in psychiatry research
Nicholas C. Jacobson, Kate H. Bentley, Ashley Walton, et al.
Bulletin of the World Health Organization (2020) Vol. 98, Iss. 4, pp. 270-276
Open Access | Times Cited: 68
Predicting suicide attempt or suicide death following a visit to psychiatric specialty care: A machine learning study using Swedish national registry data
Qi Chen, Yanli Zhang‐James, Eric J. Barnett, et al.
PLoS Medicine (2020) Vol. 17, Iss. 11, pp. e1003416-e1003416
Open Access | Times Cited: 57
Machine learning enhances prediction of illness course: a longitudinal study in eating disorders
Ann F. Haynos, Shirley B. Wang, Sarah M. Lipson, et al.
Psychological Medicine (2020) Vol. 51, Iss. 8, pp. 1392-1402
Open Access | Times Cited: 56
Suicide risk assessment in UK mental health services: a national mixed-methods study
Jane Graney, Isabelle M. Hunt, Leah Quinlivan, et al.
The Lancet Psychiatry (2020) Vol. 7, Iss. 12, pp. 1046-1053
Open Access | Times Cited: 54
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
Towards Ordinal Suicide Ideation Detection on Social Media
Ramit Sawhney, Harshit Joshi, Saumya Gandhi, et al.
(2021), pp. 22-30
Closed Access | Times Cited: 42
Cognitive Network Science for Understanding Online Social Cognitions: A Brief Review
Massimo Stella
Topics in Cognitive Science (2021) Vol. 14, Iss. 1, pp. 143-162
Open Access | Times Cited: 41
Machine Learning and Criminal Justice: A Systematic Review of Advanced Methodology for Recidivism Risk Prediction
Guido Travaini, Federico Pacchioni, Silvia Bellumore, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 17, pp. 10594-10594
Open Access | Times Cited: 32
Binary Classification of Customer’s Online Purchasing Behavior Using Machine Learning
Ahmad Aldelemy, Raed A. Abd‐Alhameed
Journal of Techniques (2023) Vol. 5, Iss. 2, pp. 163-186
Open Access | Times Cited: 17
Analysis and evaluation of explainable artificial intelligence on suicide risk assessment
Hao Tang, Aref Miri Rekavandi, Dharjinder Rooprai, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Detecting risk of suicide attempts among Chinese medical college students using a machine learning algorithm
Yanmei Shen, Wenyu Zhang, Bella Siu Man Chan, et al.
Journal of Affective Disorders (2020) Vol. 273, pp. 18-23
Closed Access | Times Cited: 45
Machine learning for suicidal ideation identification: A systematic literature review
Wesllei Felipe Heckler, Juliano Varella de Carvalho, Jorge Luís Victória Barbosa
Computers in Human Behavior (2021) Vol. 128, pp. 107095-107095
Closed Access | Times Cited: 40
Using ML and Data-Mining Techniques in Automatic Vulnerability Software Discovery
Imdad Ali Shah, Samina Rajper, Noor Zamanjhanjhi
International Journal of Advanced Trends in Computer Science and Engineering (2021) Vol. 10, Iss. 3, pp. 2109-2126
Open Access | Times Cited: 35
Machine Learning Based Healthcare System for Investigating the Association Between Depression and Quality of Life
Masood Habib, Zhelong Wang, Sen Qiu, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 5, pp. 2008-2019
Closed Access | Times Cited: 27
A Prioritization Model for Suicidality Risk Assessment
Han-Chin Shing, Philip Resnik, Douglas W. Oard
(2020), pp. 8124-8137
Open Access | Times Cited: 35
A Longitudinal Prediction of Suicide Attempts in Borderline Personality Disorder: A Machine Learning Study
L. Fortaner-Uyà, Camilla Monopoli, Marco Cavicchioli, et al.
Journal of Clinical Psychology (2025)
Closed Access
Predicting the Future: Informational Agency and the Right to Notice and Explanation in the Use of Personal Information
Charles E. Binkley, Anita Ho, Amitabha Palmer
The American Journal of Bioethics (2025) Vol. 25, Iss. 3, pp. 135-138
Closed Access
Validation of a machine learning model for indirect screening of suicidal ideation in the general population
Polona Rus Prelog, Teodora Matić, Peter Pregelj, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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