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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:

Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value
Catherine McHugh, Amy Corderoy, Christopher Ryan, et al.
BJPsych Open (2019) Vol. 5, Iss. 2
Open Access | Times Cited: 168

Showing 1-25 of 168 citing articles:

Impulsivity in the self-harm and suicidal behavior of young people: A systematic review and meta-analysis
Catherine McHugh, Rico Sze Chun Lee, Daniel F. Hermens, et al.
Journal of Psychiatric Research (2019) Vol. 116, pp. 51-60
Closed Access | Times Cited: 151
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: 143
Assessment of suicide risk in mental health practice: shifting from prediction to therapeutic assessment, formulation, and risk management
Keith Hawton, Karen Lascelles, Alexandra Pitman, et al.
The Lancet Psychiatry (2022) Vol. 9, Iss. 11, pp. 922-928
Open Access | Times Cited: 94
Mental Health Analysis in Social Media Posts: A Survey
Muskan Garg
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 3, pp. 1819-1842
Open Access | Times Cited: 68
Nonlinear change processes and the emergence of suicidal behavior: A conceptual model based on the fluid vulnerability theory of suicide
Craig J. Bryan, Jonathan Butner, Alexis M. May, et al.
New Ideas in Psychology (2019) Vol. 57, pp. 100758-100758
Open Access | Times Cited: 111
Association between suicidal ideation and suicide: meta-analyses of odds ratios, sensitivity, specificity and positive predictive value – ERRATUM
Catherine McHugh, Amy Corderoy, Christopher Ryan, et al.
BJPsych Open (2019) Vol. 5, Iss. 2
Open Access | Times Cited: 86
A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media
Ramit Sawhney, Harshit Joshi, Saumya Gandhi, et al.
(2020)
Open Access | Times Cited: 82
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
Prevalence, course, and determinants of suicide ideation and attempts in patients with a depressive and/or anxiety disorder: A review of NESDA findings
Jasper X.M. Wiebenga, Justine Dickhoff, Saskia Mérelle, et al.
Journal of Affective Disorders (2021) Vol. 283, pp. 267-277
Open Access | Times Cited: 59
Effects of media stories of hope and recovery on suicidal ideation and help-seeking attitudes and intentions: systematic review and meta-analysis
Thomas Niederkrotenthaler, Benedikt Till, Stefanie Kirchner, et al.
The Lancet Public Health (2022) Vol. 7, Iss. 2, pp. e156-e168
Open Access | Times Cited: 57
Thoughts of suicide or self-harm among Australian healthcare workers during the COVID-19 pandemic
Marie Bismark, Katrina J. Scurrah, Amy Pascoe, et al.
Australian & New Zealand Journal of Psychiatry (2022) Vol. 56, Iss. 12, pp. 1555-1565
Open Access | Times Cited: 43
Socioeconomic factors associated with suicidal behaviors in South Korea: systematic review on the current state of evidence
Nicolas Raschke, Amir Mohsenpour, Leona Aschentrup, et al.
BMC Public Health (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 42
Digital safety plan effectiveness and use: Findings from a three-month longitudinal study
Christopher Rainbow, Ruth Tatnell, Grant Blashki, et al.
Psychiatry Research (2024) Vol. 333, pp. 115748-115748
Closed Access | Times Cited: 9
KETCH: A Knowledge-Enhanced Transformer-Based Approach to Suicidal Ideation Detection from Social Media Content
Dongsong Zhang, Lina Zhou, Jie Tao, et al.
Information Systems Research (2024)
Closed Access | Times Cited: 8
Completed suicide in patients with skin disease: A systematic review and meta‐analysis
B. Hrvatin Stancic, Mattias A. S. Henning, Nathalie S. Eriksen, et al.
Journal of the European Academy of Dermatology and Venereology (2025)
Open Access | Times Cited: 1
Biological bases of suicidal behaviours: A narrative review
Aistė Lengvenytė, Ismaël Conejero, Philippe Courtet, et al.
European Journal of Neuroscience (2019) Vol. 53, Iss. 1, pp. 330-351
Open Access | Times Cited: 66
Machine Learning Based Suicide Ideation Prediction for Military Personnel
Gen‐Min Lin, Masanori Nagamine, Szu‐Nian Yang, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 7, pp. 1907-1916
Closed Access | Times Cited: 64
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
PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media
Ramit Sawhney, Harshit Joshi, Lucie Flek, et al.
(2021), pp. 2415-2428
Open Access | Times Cited: 45
Linguistic features of suicidal thoughts and behaviors: A systematic review
Stephanie Homan, Marion Gabi, Nina Klee, et al.
Clinical Psychology Review (2022) Vol. 95, pp. 102161-102161
Open Access | Times Cited: 36
Suicide ideation and male-female differences in major depressive disorder
Paolo Olgiati, Basilio Pecorino, Alessandro Serretti
International Journal of Psychiatry in Clinical Practice (2024) Vol. 28, Iss. 1, pp. 53-62
Closed Access | Times Cited: 7
Understanding and managing suicide risk
Tiago C. Zortea, Seonaid Cleare, Ambrose J. Melson, et al.
British Medical Bulletin (2020) Vol. 134, Iss. 1, pp. 73-84
Open Access | Times Cited: 40
Peer Connectedness and Pre‐Existing Social Reward Processing Predicts U.S. Adolescent Girls’ Suicidal Ideation During COVID‐19
Emily Hutchinson, Stefanie Sequeira, Jennifer S. Silk, et al.
Journal of Research on Adolescence (2021) Vol. 31, Iss. 3, pp. 703-716
Open Access | Times Cited: 35
Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning
Ramit Sawhney, Harshit Joshi, Rajiv Ratn Shah, et al.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021), pp. 2176-2190
Open Access | Times Cited: 34
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
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