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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 Role of Big Data Analytics in Predicting Suicide
Ronald C. Kessler, Samantha L. Bernecker, Robert M. Bossarte, et al.
Springer eBooks (2019), pp. 77-98
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Suicide prediction models: a critical review of recent research with recommendations for the way forward
Ronald C. Kessler, Robert M. Bossarte, Alex Luedtke, et al.
Molecular Psychiatry (2019) Vol. 25, Iss. 1, pp. 168-179
Open Access | Times Cited: 169
Machine learning methods for developing precision treatment rules with observational data
Ronald C. Kessler, Robert M. Bossarte, Alex Luedtke, et al.
Behaviour Research and Therapy (2019) Vol. 120, pp. 103412-103412
Open Access | Times Cited: 77
Natural language processing of clinical mental health notes may add predictive value to existing suicide risk models
Maxwell Levis, Christine Leonard Westgate, Jiang Gui, et al.
Psychological Medicine (2020) Vol. 51, Iss. 8, pp. 1382-1391
Open Access | Times Cited: 72
Development and Validation of the Personal Values Dictionary: A Theory–Driven Tool for Investigating References to Basic Human Values in Text
Vladimir Ponizovskiy, M. Murat Ardağ, Lusine Grigoryan, et al.
European Journal of Personality (2020) Vol. 34, Iss. 5, pp. 885-902
Open Access | Times Cited: 53
Predicting Children with ADHD Using Behavioral Activity: A Machine Learning Analysis
Md. Maniruzzaman, Jungpil Shin, Md. Al Mehedi Hasan
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2737-2737
Open Access | Times Cited: 29
Using Administrative Data to Predict Suicide After Psychiatric Hospitalization in the Veterans Health Administration System
Ronald C. Kessler, Mark S. Bauer, Todd M. Bishop, et al.
Frontiers in Psychiatry (2020) Vol. 11
Open Access | Times Cited: 40
Predicting suicide attempts among soldiers who deny suicidal ideation in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)
Samantha L. Bernecker, Kelly L. Zuromski, Peter M. Gutierrez, et al.
Behaviour Research and Therapy (2018) Vol. 120, pp. 103350-103350
Open Access | Times Cited: 39
Predicting suicide attempts among U.S. Army soldiers after leaving active duty using information available before leaving active duty: results from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS)
Ian H. Stanley, Carol Chu, Sarah M. Gildea, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 3, pp. 1631-1639
Open Access | Times Cited: 22
Review on Mental Healthcare System Using Data Analytics and IoT
Mrinmoy Kayal, Mohinikanta Sahoo, Jayadeep Pati
Communications in computer and information science (2025), pp. 72-78
Closed Access
A practical risk calculator for suicidal behavior among transitioning U.S. Army soldiers: results from the Study to Assess Risk and Resilience in Servicemembers-Longitudinal Study (STARRS-LS)
Jaclyn C. Kearns, Emily Edwards, Erin P. Finley, et al.
Psychological Medicine (2023) Vol. 53, Iss. 15, pp. 7096-7105
Closed Access | Times Cited: 10
A Randomized Control Trial of a Digital Health Tool for Safer Firearm and Medication Storage for Patients with Suicide Risk
Jennifer M. Boggs, LeeAnn M. Quintana, Arne Beck, et al.
Prevention Science (2024) Vol. 25, Iss. 2, pp. 358-368
Closed Access | Times Cited: 3
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
Development of a Suicide Prediction Model for the Elderly Using Health Screening Data
Seo‐Eun Cho, Zong Woo Geem, Kyoung‐Sae Na
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 19, pp. 10150-10150
Open Access | Times Cited: 23
Perspective On Excellence in Forensic Mental Health Services: What We Can Learn From Oncology and Other Medical Services
Harry Kennedy, Alexander I. F. Simpson, Quazi Haque
Frontiers in Psychiatry (2019) Vol. 10
Open Access | Times Cited: 25
Leveraging mist and fog for big data analytics in IoT environment
Ibrahim M. El‐Hasnony, Reham R. Mostafa, Mohamed Elhoseny, et al.
Transactions on Emerging Telecommunications Technologies (2020) Vol. 32, Iss. 7
Closed Access | Times Cited: 19
Leveraging Machine Learning to Identify Predictors of Receiving Psychosocial Treatment for Attention Deficit/Hyperactivity Disorder
Anne S. Morrow, Alexandro D. Campos Vega, Xin Zhao, et al.
Administration and Policy in Mental Health and Mental Health Services Research (2020) Vol. 47, Iss. 5, pp. 680-692
Closed Access | Times Cited: 16
Data Analytics in Mental Healthcare
Ayesha Kamran Ul haq, Amira Khattak, Noreen Jamil, et al.
Scientific Programming (2020) Vol. 2020, pp. 1-9
Open Access | Times Cited: 16
From everyday life predictions to suicide prevention: Clinical and ethical considerations in suicide predictive analytic tools
Jeremy W. Luk, Larry D. Pruitt, Derek J. Smolenski, et al.
Journal of Clinical Psychology (2021) Vol. 78, Iss. 2, pp. 137-148
Closed Access | Times Cited: 12
A Preliminary Precision Treatment Rule for Remission of Suicide Ideation
Ronald C. Kessler, Samantha A. Chalker, Alex Luedtke, et al.
Suicide and Life-Threatening Behavior (2019) Vol. 50, Iss. 2, pp. 558-572
Closed Access | Times Cited: 13
Leveraging data science to enhance suicide prevention research: a literature review
Avital Rachelle Wulz, Royal Law, Jing Wang, et al.
Injury Prevention (2021) Vol. 28, Iss. 1, pp. 74-80
Open Access | Times Cited: 11
Accurate Identification of Attention-deficit/Hyperactivity Disorder Using Machine Learning Approaches
Nizar Alsharif, Mosleh Hmoud Al-Adhaileh, Mohammed Al‐Yaari
Deleted Journal (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Identifying Youth at Risk for Suicidal Thoughts and Behaviors Using the “p” factor in Primary Care: An Exploratory Study
Linda Ruan‐Iu, Alannah Shelby Rivers, Ran Barzilay, et al.
Archives of Suicide Research (2022) Vol. 27, Iss. 3, pp. 1047-1062
Closed Access | Times Cited: 6
Study protocol for pragmatic trials of Internet-delivered guided and unguided cognitive behavior therapy for treating depression and anxiety in university students of two Latin American countries: the Yo Puedo Sentirme Bien study
Corina Benjet, Ronald C. Kessler, Alan E. Kazdin, et al.
Trials (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 5
Invited Commentary: New Directions in Machine Learning Analyses of Administrative Data to Prevent Suicide-Related Behaviors
Robert M. Bossarte, Chris J. Kennedy, Alex Luedtke, et al.
American Journal of Epidemiology (2021) Vol. 190, Iss. 12, pp. 2528-2533
Open Access | Times Cited: 6
Dynamic suicide topic modelling: Deriving population‐specific, psychosocial and time‐sensitive suicide risk variables from Electronic Health Record psychotherapy notes
Maxwell Levis, Joshua Levy, Vincent Dufort, et al.
Clinical Psychology & Psychotherapy (2023) Vol. 30, Iss. 4, pp. 795-810
Open Access | Times Cited: 2
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