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:

Individualized Prospective Prediction of Opioid Use Disorder
Yang S. Liu, Lawrence Kiyang, Jake Hayward, et al.
The Canadian Journal of Psychiatry (2022) Vol. 68, Iss. 1, pp. 54-63
Open Access | Times Cited: 16

Showing 16 citing articles:

Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis
Andy Man Yeung Tai, Alireza Kazemi, Jane J. Kim, et al.
Wiley Interdisciplinary Reviews Computational Statistics (2025) Vol. 17, Iss. 1
Open Access | Times Cited: 1

Using machine learning to study the effect of medication adherence in Opioid Use Disorder
David Warren, Amir Marashi, Arwa Siddiqui, et al.
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0278988-e0278988
Open Access | Times Cited: 19

Predicting opioid use disorder before and after the opioid prescribing peak in the United States: A machine learning tool using electronic healthcare records
Tyler Banks, Tung Nguyen, Jeffery K Uhlmann, et al.
Health Informatics Journal (2023) Vol. 29, Iss. 2
Open Access | Times Cited: 12

A systematic review of machine learning applications in predicting opioid associated adverse events
Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David Jenkins, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access

A methodological exploration of feature selection techniques to enhance AI-based predictive analytics in public health
Ali Ünlü, Pekka Hakkarainen, Karoliina Karjalainen, et al.
Elsevier eBooks (2025), pp. 325-359
Closed Access

Substance use prediction using artificial intelligence techniques
Ali Ünlü, Abdülhamit Subaşı
Journal of Computational Social Science (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 1

Prevalence and determinants of opioid use disorder among long-term opiate users in Golestan Cohort Study
Saba Alvand, Masoumeh Amin‐Esmaeili, Hossein Poustchi, et al.
BMC Psychiatry (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 2

Comparative Analysis of Methadone’s Impact on Gut Microbiome: A Cross-Population Study Between the United States and China
Hasnae Bidar, F. Elomari, Soukaina Chakib, et al.
Lecture notes in networks and systems (2024), pp. 191-202
Closed Access

Predictive Models to Assess Risk of Persistent Opioid Use, Opioid Use Disorder, and Overdose
Sophia Song, Hari Dandapani, Rodolfo S. Estrada, et al.
Journal of Addiction Medicine (2024) Vol. 18, Iss. 3, pp. 218-239
Closed Access

Evolution in the health ecosystem: Cutting-edge technologies and important issues for improved health and mental health in the ongoing COVID-19 recovery
Andrew J. Greenshaw, Jasmine M. Noble, Judy Kuriansky, et al.
Elsevier eBooks (2024), pp. 361-372
Closed Access

Predictive Model for Opioid Use Disorder in Chronic Pain: A Development and Validation Study
Mónica Escorial, Javier Muriel, César Margarit, et al.
Biomedicines (2024) Vol. 12, Iss. 9, pp. 2056-2056
Open Access

Early identification of children with Attention-Deficit/Hyperactivity Disorder (ADHD)
Yang S. Liu, Fernanda Talarico, Dan Metes, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 11, pp. e0000620-e0000620
Open Access

Are treatment services ready for the use of big data analytics and artificial intelligence in managing opioid use disorder? (Preprint)
M. M. Amer, Rosalind Gittins, Antonio Martínez-Millana, et al.
Journal of Medical Internet Research (2024)
Open Access

Prevalence and determinants of opioid use disorder among long-term opiate users in Golestan Cohort Study
Saba Alvand, Masoumeh Amin‐Esmaeili, Hossein Poustchi, et al.
Research Square (Research Square) (2023)
Open Access

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