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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:

Meta-analysis of the strength of exploratory suicide prediction models; from clinicians to computers
Michelle Corke, Katherine Mullin, Helena N. Angel-Scott, et al.
BJPsych Open (2021) Vol. 7, Iss. 1
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Machine learning and the prediction of suicide in psychiatric populations: a systematic review
Alessandro Pigoni, Giuseppe Delvecchio, Nunzio Turtulici, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 20
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
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
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
The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: a systematic review
Nibene Habib Somé, Pardis Noormohammadpour, Shannon Lange
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 6
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
The Etiopathogenic Mosaic of Suicidal Behaviour
Doinița Temelie-Olinici, Anton Knieling, Dan Vâță, et al.
Behavioral Sciences (2025) Vol. 15, Iss. 1, pp. 87-87
Open Access
Validity and feasibility of the oxford mental illness suicide tool (OxMIS): A mini-review and meta-analysis
Gabriele Torino, Chiara Moltrasio, Antonio Callari, et al.
Journal of Affective Disorders (2025)
Closed Access
Evolutionary Perspectives on Suicide
C. A. Soper, Todd K. Shackelford
(2025), pp. 19-45
Closed Access
Suicidal risk in patients with aggression in schizophrenia: a systematic review
L. V. Bravve, Maria Kaydan, G. P. Kostyuk
Frontiers in Psychiatry (2025) Vol. 16
Open Access
Developing a clinical decision support system software prototype that assists in the management of patients with self-harm in the emergency department: protocol of the PERMANENS project
Philippe Mortier, Franco Amigo, Madhav Bhargav, et al.
BMC Psychiatry (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Implementing Evidence-Based Suicide Prevention Strategies for Greatest Impact
Nadine Melhem, Christine Moutier, David A. Brent
FOCUS The Journal of Lifelong Learning in Psychiatry (2023) Vol. 21, Iss. 2, pp. 117-128
Open Access | Times Cited: 8
An Integrated General Theory of Psychopathology and Suicide
C. A. Soper
Evolutionary Psychological Science (2023) Vol. 9, Iss. 4, pp. 491-511
Open Access | Times Cited: 6
Screening and Assessment for Psychological Distress among Burn Survivors
Valerie G. Loehr, William Goette, Kimberly Roaten
European Burn Journal (2022) Vol. 3, Iss. 1, pp. 57-88
Open Access | Times Cited: 9
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
On the Randomness of Suicide
C. A. Soper, Pablo Malo Ocejo, Matthew Large
Cambridge University Press eBooks (2022), pp. 134-152
Closed Access | Times Cited: 9
Meta‐analysis of clinical risk factors for suicide among people presenting to emergency departments and general hospitals with suicidal thoughts and behaviours
Cameron Grover, Jacqueline Huber, Matthew Brewer, et al.
Acta Psychiatrica Scandinavica (2023) Vol. 148, Iss. 6, pp. 491-524
Open Access | Times Cited: 5
Prediction models of suicide and non‐fatal suicide attempt after discharge from a psychiatric inpatient stay: A machine learning approach on nationwide Danish registers
Sara Dorthea Nielsen, Rune Haubo Bojesen Christensen, Trine Madsen, et al.
Acta Psychiatrica Scandinavica (2023) Vol. 148, Iss. 6, pp. 525-537
Open 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
Age-stratified predictions of suicide attempts using machine learning in middle and late adolescence
Karen Kusuma, Mark Larsen, Juan C. Quiroz, et al.
Journal of Affective Disorders (2024) Vol. 365, pp. 126-133
Open Access | Times Cited: 1
Automatically extracting social determinants of health for suicide: a narrative literature review
Annika Marie Schoene, Suzanne Garverich, Iman Ibrahim, et al.
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Using the stress–vulnerability model to better understand suicide in prison populations
Russ Scott, Andrew Aboud, Tamara Smith
Psychiatry Psychology and Law (2022) Vol. 30, Iss. 3, pp. 299-333
Open 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
Suicide risk assessment
Matthew Large, C. A. Soper, Christopher Ryan
The Lancet Psychiatry (2022) Vol. 9, Iss. 12, pp. 938-939
Closed Access | Times Cited: 6
The importance of suicide risk assessment in patients affected by neurofibromatosis
Isabella Berardelli, Annalisa Maraone, Daniele Belvisi, et al.
International Journal of Psychiatry in Clinical Practice (2021) Vol. 25, Iss. 4, pp. 350-355
Closed Access | Times Cited: 6
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