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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:

AI enabled suicide prediction tools: a qualitative narrative review
Daniel D’Hotman, Erwin Loh
BMJ Health & Care Informatics (2020) Vol. 27, Iss. 3, pp. e100175-e100175
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

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
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
Improving Arabic Cognitive Distortion Classification in Twitter using BERTopic
Fatima Alhaj, Ali Al-Haj, Ahmad Sharieh, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 37
Pragmatic AI-augmentation in mental healthcare: Key technologies, potential benefits, and real-world challenges and solutions for frontline clinicians
Katherine C. Kellogg, Shiri Sadeh‐Sharvit
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 24
Exploring the Potential of Artificial Intelligence in Adolescent Suicide Prevention: Current Applications, Challenges, and Future Directions
Xiaoming Li, Fenglan Chen, Li‐Jun Ma
Psychiatry (2024) Vol. 87, Iss. 1, pp. 7-20
Closed Access | Times Cited: 4
Suicide prevention in Hong Kong: pushing boundaries while building bridges
Paul Yip, Eric D. Caine, Cheuk Yui Yeung, et al.
The Lancet Regional Health - Western Pacific (2024) Vol. 46, pp. 101061-101061
Open Access | Times Cited: 4
AI-Enhanced Neurophysiological Assessment
Deepak Kumar, Punet Kumar, Sushma Pal, et al.
Advances in psychology, mental health, and behavioral studies (APMHBS) book series (2025), pp. 33-64
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
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
Facebook and Suicidal Behaviour: User Experiences of Suicide Notes, Live-Streaming, Grieving and Preventive Strategies—A Scoping Review
Sheikh Shoib, Miyuru Chandradasa, Mahsa Nahidi, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 20, pp. 13001-13001
Open Access | Times Cited: 17
The Role of Virtual Triage in Improving Clinician Experience and Satisfaction: A Narrative Review
George A. Gellert, Joanna Rasławska-Socha, Natalia Marcjasz, et al.
Telemedicine Reports (2023) Vol. 4, Iss. 1, pp. 180-191
Open Access | Times Cited: 7
Doubt or punish: on algorithmic pre-emption in acute psychiatry
Chiara Carboni, Rik Wehrens, Romke van der Veen, et al.
AI & Society (2024)
Open Access | Times Cited: 2
Teaching Artificial Intelligence from Conceptual Foundations: A Roadmap for Psychiatry Training Programs
Richard G. Cockerill, M Macintyre, Carolyn Shima
Academic Psychiatry (2024)
Closed Access | Times Cited: 2
Emotion AI in healthcare: Application, challenges, and future directions
Kriti Ahuja
Elsevier eBooks (2023), pp. 131-146
Closed Access | Times Cited: 5
Emerging Themes and Research Frontiers in Suicide Prediction: A Scientometric Analysis
Kochumol Abraham, K R Anish, Greety Sony, et al.
Cureus (2024)
Open Access | Times Cited: 1
Artificial intelligence in mental health landscape: A qualitative analysis of ethics and law
Swati Malik, Adya Surbhi
AIP conference proceedings (2024) Vol. 3220, pp. 020030-020030
Closed Access | Times Cited: 1
Exploring the Societal Implications of Digital Mental Health Technologies: A Critical Review
Olivia A. Stein, Audrey Prost
SSM - Mental Health (2024) Vol. 6, pp. 100373-100373
Open Access | Times Cited: 1
Consumer Perspectives on the Use of Artificial Intelligence Technology and Automation in Crisis Support Services: Mixed Methods Study
Jennifer Ma, Megan O’Riordan, Kelly Mazzer, et al.
JMIR Human Factors (2022) Vol. 9, Iss. 3, pp. e34514-e34514
Open Access | Times Cited: 7
Development of Internet suicide message identification and the Monitoring-Tracking-Rescuing model in Taiwan
En‐Liang Wu, Chia‐Yi Wu, Ming‐Been Lee, et al.
Journal of Affective Disorders (2022) Vol. 320, pp. 37-41
Closed Access | Times Cited: 7
Use of Artificial Intelligence-Based Strategies for Assessing Suicidal Behavior and Mental Illness: A Literature Review
Nighat Z. Khan, Muhammad Ali Javed
Cureus (2022)
Open Access | Times Cited: 6
Artificial Intelligence, Social Media, and Suicide Prevention: Principle of Beneficence Besides Respect for Autonomy
Hui Zhang, Wang Yu-ming, Zhenxiang Zhang, et al.
The American Journal of Bioethics (2021) Vol. 21, Iss. 7, pp. 43-45
Open Access | Times Cited: 7
Suicidal Ratio Prediction Among the Continent of World: A Machine Learning Approach
Khalid Been Md. Badruzzaman Biplob, Md. Hasan Imam Bijoy, Abu Kowshir Bitto, et al.
(2023)
Closed Access | Times Cited: 2
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
AI, Suicide Prevention and the Limits of Beneficence
Aurélie Halsband, Bert Heinrichs
Philosophy & Technology (2022) Vol. 35, Iss. 4
Open Access | Times Cited: 4
A Southeast Asian expert consensus on the management of major depressive disorder with suicidal behavior in adults under 65 years of age
Kok Yoon Chee, Nalini Muhdi, Nor Hayati Ali, et al.
BMC Psychiatry (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 3
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