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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:

Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough?
Nicholas B. Allen, Benjamin W. Nelson, David A. Brent, et al.
Journal of Affective Disorders (2019) Vol. 250, pp. 163-169
Open Access | Times Cited: 104

Showing 1-25 of 104 citing articles:

Improving Suicide Prevention Through Evidence-Based Strategies: A Systematic Review
J. John Mann, Christina A. Michel, Randy P. Auerbach
American Journal of Psychiatry (2021) Vol. 178, Iss. 7, pp. 611-624
Open Access | Times Cited: 360
Using large language models in psychology
Dorottya Demszky, Diyi Yang, David S. Yeager, et al.
Nature Reviews Psychology (2023)
Closed Access | Times Cited: 165
A Brain-Centric Model of Suicidal Behavior
J. John Mann, Mina Rizk
American Journal of Psychiatry (2020) Vol. 177, Iss. 10, pp. 902-916
Open Access | Times Cited: 144
Beyond Screen Time: Identity Development in the Digital Age
Isabela Granic, Hiromitsu Morita, Hanneke Scholten
Psychological Inquiry (2020) Vol. 31, Iss. 3, pp. 195-223
Open Access | Times Cited: 144
Digital Mental Health for Young People: A Scoping Review of Ethical Promises and Challenges
Blanche Wies, Constantin Landers, Marcello Ienca
Frontiers in Digital Health (2021) Vol. 3
Open Access | Times Cited: 142
Don't Miss the Moment: A Systematic Review of Ecological Momentary Assessment in Suicide Research
Liia Kivelä, Willem van der Does, Harriëtte Riese, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 80
Systematic Review and Meta-analysis: International Prevalence of Suicidal Ideation and Attempt in Youth
Anna Van Meter, Ellen A. Knowles, Emily Mintz
Journal of the American Academy of Child & Adolescent Psychiatry (2022) Vol. 62, Iss. 9, pp. 973-986
Open Access | Times Cited: 77
Explainable AI-based suicidal and non-suicidal ideations detection from social media text with enhanced ensemble technique
Daniyal Alghazzawi, Hayat Ullah, Naila Tabassum, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Neural Correlates Associated With Suicide and Nonsuicidal Self-injury in Youth
Randy P. Auerbach, David Pagliaccio, Grace O. Allison, et al.
Biological Psychiatry (2020) Vol. 89, Iss. 2, pp. 119-133
Open Access | Times Cited: 129
Technology Use for Adolescent Health and Wellness
Ana Radović, Sherif M. Badawy
PEDIATRICS (2020) Vol. 145, Iss. Supplement_2, pp. S186-S194
Open Access | Times Cited: 104
Scrutinizing the effects of digital technology on mental health
Jonathan Haidt, Nick Allen
Nature (2020) Vol. 578, Iss. 7794, pp. 226-227
Closed Access | Times Cited: 95
Fluctuations in Affective States and Self-Efficacy to Resist Non-Suicidal Self-Injury as Real-Time Predictors of Non-Suicidal Self-Injurious Thoughts and Behaviors
Glenn Kiekens, Penelope Hasking, Matthew K. Nock, et al.
Frontiers in Psychiatry (2020) Vol. 11
Open Access | Times Cited: 73
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: 62
The use of advanced technology and statistical methods to predict and prevent suicide
Evan M. Kleiman, Catherine R. Glenn, Richard T. Liu
Nature Reviews Psychology (2023) Vol. 2, Iss. 6, pp. 347-359
Open Access | Times Cited: 29
Improving Suicide Prevention Through Evidence-Based Strategies: A Systematic Review
J. John Mann, Christina A. Michel, Randy P. Auerbach
FOCUS The Journal of Lifelong Learning in Psychiatry (2023) Vol. 21, Iss. 2, pp. 182-196
Open Access | Times Cited: 24
Ecological Momentary Assessments and Passive Sensing in the Prediction of Short-Term Suicidal Ideation in Young Adults
Ewa K. Czyz, Cheryl A. King, Nadia Al‐Dajani, et al.
JAMA Network Open (2023) Vol. 6, Iss. 8, pp. e2328005-e2328005
Open Access | Times Cited: 23
The Lancet Commission on self-harm
Paul Moran, Amy Chandler, Pat Dudgeon, et al.
The Lancet (2024) Vol. 404, Iss. 10461, pp. 1445-1492
Closed Access | Times Cited: 16
Real-Time Monitoring of Suicide Risk among Adolescents: Potential Barriers, Possible Solutions, and Future Directions
Evan M. Kleiman, Catherine R. Glenn, Richard T. Liu
Journal of Clinical Child & Adolescent Psychology (2019) Vol. 48, Iss. 6, pp. 934-946
Open Access | Times Cited: 62
Smartphone as a monitoring tool for bipolar disorder: a systematic review including data analysis, machine learning algorithms and predictive modelling
Anna Antosik-Wójcińska, Monika Dominiak, Magdalena Chojnacka, et al.
International Journal of Medical Informatics (2020) Vol. 138, pp. 104131-104131
Closed Access | Times Cited: 61
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: 60
Prevention of internalizing disorders and suicide via adolescent sleep interventions
Matthew Blake, Nicholas B. Allen
Current Opinion in Psychology (2019) Vol. 34, pp. 37-42
Closed Access | Times Cited: 58
Suicide Risk in Emerging Adulthood: Associations with Screen Time over 10 years
Sarah M. Coyne, Jeffrey L. Hurst, W. Justin Dyer, et al.
Journal of Youth and Adolescence (2021) Vol. 50, Iss. 12, pp. 2324-2338
Open Access | Times Cited: 49
Predicting acute suicidal ideation on Instagram using ensemble machine learning models
Damien Lekkas, Robert J. Klein, Nicholas C. Jacobson
Internet Interventions (2021) Vol. 25, pp. 100424-100424
Open Access | Times Cited: 41
Screen time and suicidal behaviors among U.S. children 9–11 years old: A prospective cohort study
Jonathan Chu, Kyle T. Ganson, Fiona C. Baker, et al.
Preventive Medicine (2023) Vol. 169, pp. 107452-107452
Open Access | Times Cited: 21
Machine learning-based prediction for self-harm and suicide attempts in adolescents
Raymond Su, James Rufus John, Ping‐I Lin
Psychiatry Research (2023) Vol. 328, pp. 115446-115446
Open Access | Times Cited: 17
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