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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:

The utility of artificial intelligence in suicide risk prediction and the management of suicidal behaviors
Trehani M. Fonseka, Venkat Bhat, Sidney H. Kennedy
Australian & New Zealand Journal of Psychiatry (2019) Vol. 53, Iss. 10, pp. 954-964
Open Access | Times Cited: 94

Showing 1-25 of 94 citing articles:

An explainable predictive model for suicide attempt risk using an ensemble learning and Shapley Additive Explanations (SHAP) approach
Noratikah Nordin, Zurinahni Zainol, Mohd Halim Mohd Noor, et al.
Asian Journal of Psychiatry (2022) Vol. 79, pp. 103316-103316
Closed Access | Times Cited: 72
Beyond human expertise: the promise and limitations of ChatGPT in suicide risk assessment
Zohar Elyoseph, Inbar Levkovich
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 64
Digital Mental Health Challenges and the Horizon Ahead for Solutions
Luke Balcombe, Diego De Leo
JMIR Mental Health (2021) Vol. 8, Iss. 3, pp. e26811-e26811
Open Access | Times Cited: 103
Teasing out Artificial Intelligence in Medicine: An Ethical Critique of Artificial Intelligence and Machine Learning in Medicine
Mark Arnold
Journal of Bioethical Inquiry (2021) Vol. 18, Iss. 1, pp. 121-139
Open Access | Times Cited: 77
Challenges in the development of digital public health interventions and mapped solutions: Findings from a scoping review
Ihoghosa Iyamu, Oralia Gómez-Ramírez, Alice X T Xu, et al.
Digital Health (2022) Vol. 8, pp. 205520762211022-205520762211022
Open Access | Times Cited: 66
Depression detection using emotional artificial intelligence and machine learning: A closer review
Manju Lata Joshi, Nehal Kanoongo
Materials Today Proceedings (2022) Vol. 58, pp. 217-226
Closed Access | Times Cited: 65
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
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
Application of Artificial Intelligence on Psychological Interventions and Diagnosis: An Overview
Sijia Zhou, Jingping Zhao, Lulu Zhang
Frontiers in Psychiatry (2022) Vol. 13
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
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
Diagnostic quality model (DQM): an integrated framework for the assessment of diagnostic quality when using AI/ML
Jochen K. Lennerz, Roberto Salgado, Grace Kim, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2023) Vol. 61, Iss. 4, pp. 544-557
Open Access | Times Cited: 17
Examining the role of AI technology in online mental healthcare: opportunities, challenges, and implications, a mixed-methods review
Gilmar Gutiérrez, Callum Stephenson, Jazmin Eadie, et al.
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 7
Role of machine learning algorithms in suicide risk prediction: a systematic review-meta analysis of clinical studies
Houriyeh Ehtemam, Shabnam Sadeghi Esfahlani, Alireza Sanaei, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS
Manas Gaur, Vamsi Aribandi, Amanuel Alambo, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0250448-e0250448
Open Access | Times Cited: 27
A machine learning approach to identifying suicide risk among text-based crisis counseling encounters
Meghan Broadbent, Mattia Medina Grespan, Katherine Axford, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 12
Artificial Intelligence A Tool in Suicide Prevention Amongst Inuits of Canada: Systematic Review
Femi Duyilemi
African Journal of Health Nursing and Midwifery (2025) Vol. 8, Iss. 1, pp. 21-33
Open Access
CaPsF: Capsule Fusion for Extracting psychiatric stressors for suicide from Twitter
Mohammad Ali Dadgostarnia, Ramin Mousa, Saba Hesaraki, et al.
Natural Language Processing Journal (2025), pp. 100134-100134
Open Access
Harnessing digital health data for suicide prevention and care: A rapid review
Laura Bennett‐Poynter, Sridevi Kundurthi, Reena Besa, et al.
Digital Health (2025) Vol. 11
Open Access
Integrating health equity in artificial intelligence for public health in Canada: a rapid narrative review
Samantha Ghanem, Marielle Moraleja, Danielle Gravesande, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
Effectiveness of generative AI-large language models’ recognition of veteran suicide risk: a comparison with human mental health providers using a risk stratification model
Sean A. Lauderdale, Randee Schmitt, Breanna Wuckovich, et al.
Frontiers in Psychiatry (2025) Vol. 16
Open Access
The Interconnection of AI and Social Research
Prokopis Christou
CABI eBooks (2025), pp. 12-20
Closed Access
Artificial Intelligence, Machine Learning Approach and Suicide Prevention: A Qualitative Narrative Review
Sheikh Shoib, Mohd Faizan Siddiqui, Serkan Turan, et al.
Deleted Journal (2025)
Closed Access
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