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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:

Sex‐Specific Risk Profiles for Suicide Among Persons with Substance Use Disorders in Denmark
Rachel Sayko Adams, Tammy Jiang, Anthony J. Rosellini, et al.
Addiction (2021) Vol. 116, Iss. 10, pp. 2882-2892
Open Access | Times Cited: 13

Showing 13 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
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: 6
Factors associated with suicide in people who use drugs: a scoping review
Joan Devin, Suzi Lyons, Lisa Murphy, et al.
BMC Psychiatry (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 12
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: 3
Suicide prediction among men and women with depression: A population-based study
Tammy Jiang, Dávid Nagy, Anthony J. Rosellini, et al.
Journal of Psychiatric Research (2021) Vol. 142, pp. 275-282
Open Access | Times Cited: 22
Predicting Co-Occurring Mental Health and Substance Use Disorders in Women: An Automated Machine Learning Approach
Nirmal Acharya, Padmaja Kar, Mustafa Ally, et al.
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1630-1630
Open Access | Times Cited: 2
Traumatic Brain Injury and Opioid Use: Additional Evidence Supporting the “Perfect Storm” of Cascading Vulnerabilities
Rachel Sayko Adams
Journal of Head Trauma Rehabilitation (2021) Vol. 36, Iss. 5, pp. 303-309
Open Access | Times Cited: 11
Risk of suicide attempts and self-harm after 1.4 million general medical hospitalizations of men with mental illness
Rohith Thiruvalluru, Juliet Beni Edgcomb, John O. Brooks, et al.
Journal of Psychiatric Research (2022) Vol. 157, pp. 50-56
Open Access | Times Cited: 3
Predicting Suicide Cases Using Deep Neural Network
Mohammad Mehdi Ghaemi, Houriyeh Ehtemam, Fahimeh Ghasemian, et al.
Lecture notes in networks and systems (2024), pp. 182-192
Closed Access
Association between substance‐induced psychosis and suicide attempt: A Danish nation‐wide register‐based study
Solvejg Dam Munch, Trine Madsen, Merete Nordentoft, et al.
Addiction (2023) Vol. 118, Iss. 12, pp. 2440-2448
Open Access | Times Cited: 1
Healthcare utilization and readiness outcomes among soldiers with post-deployment at-risk drinking, by multimorbidity class
Joshua C. Gray, Mary Jo Larson, Natalie Moresco, et al.
Alcohol (2023) Vol. 114, pp. 31-39
Closed Access | Times Cited: 1
Addictions, concepts généraux, évaluation et facteurs de vulnérabilité
Pierluigi Graziani, Lucía Romo
Elsevier eBooks (2023), pp. 1-102
Closed Access
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