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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:

Using machine learning to predict opioid misuse among U.S. adolescents
Dae‐Hee Han, Shieun Lee, Dong‐Chul Seo
Preventive Medicine (2019) Vol. 130, pp. 105886-105886
Closed Access | Times Cited: 52

Showing 26-50 of 52 citing articles:

Application of Gradient Boosting Classifier-Based Computational Intelligence to Detect Drug Addiction Threat in Society
Ashutosh Kumar, Abhigyan Sinha, Tamoghno Bakshi, et al.
Lecture notes in networks and systems (2024), pp. 185-193
Closed Access
Mitigating Sociodemographic Bias in Opioid Use Disorder Prediction: Fairness-Aware Machine Learning Framework
Mohammad Yaseliani, Md. Noor‐E‐Alam, Md Mahmudul Hasan
JMIR AI (2024) Vol. 3, pp. e55820-e55820
Open Access
A neural network approach to predict opioid misuse among previously hospitalized patients using electronic health records
Lucas Vega, Winslow Conneen, Michael A. Veronin, et al.
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0309424-e0309424
Open Access
Analyzing and predicting short-term substance use behaviors of persons who use drugs in the great plains of the U.S.
Nguyen Thach, Patrick Habecker, Bergen Johnston, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0312046-e0312046
Open Access
Detecting Opioid Use Disorder in Health Claims Data With Positive Unlabeled Learning
Praveen Kumar, Fariha Moomtaheen, Scott A. Malec, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 29, Iss. 2, pp. 750-757
Open Access
Substance use prediction using artificial intelligence techniques
Ali Ünlü, Abdülhamit Subaşı
Journal of Computational Social Science (2024) Vol. 8, Iss. 1
Open Access
MedSMA℞T Adventures in PharmaCity Game: Youth Experiences and Recommendation for Use in Opioid Safety Education
Olufunmilola Abraham, Courtney R. Koeberl, Tyler James McCarthy
Pharmacy (2023) Vol. 11, Iss. 5, pp. 143-143
Open Access | Times Cited: 1
Evaluation of Policy Effectiveness by Mathematical Modeling for the Opioid Crisis with Spatial Study and Trend Analysis
Jiaji Pan, Shen Ren, Xiuxiang Huang, et al.
Healthcare (2021) Vol. 9, Iss. 5, pp. 585-585
Open Access | Times Cited: 3
Havzaların Benzerliklerini Tanımlamada Alternatif Bir Yaklaşım: Hiyerarşik Kümeleme Yöntemi Uygulaması
Ersin Aytaç
Afyon Kocatepe University Journal of Sciences and Engineering (2021) Vol. 21, Iss. 4, pp. 958-970
Open Access | Times Cited: 3
Artificial intelligence and opioid use: a narrative review
Seema Gadhia, Georgia C. Richards, Tracey Marriott, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Predicting opioid misuse at the population level is different from identifying opioid misuse in individual patients
Dong‐Chul Seo, Dae‐Hee Han, Shieun Lee
Preventive Medicine (2020) Vol. 131, pp. 105969-105969
Closed Access | Times Cited: 1
Development and Validation of a Prediction Model of Prescription Tranquilizer Misuse Based on a Nationally Representative United States Sample
C.B. Thompson, Karl C. Alcover, Sarah W. Yip
Drug and Alcohol Dependence (2020) Vol. 218, pp. 108344-108344
Closed Access | Times Cited: 1
Decision tree model based prediction of the efficacy of acupuncture in methadone maintenance treatment
Yu Dong, Baochao Fan, Enliang Yan, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 1
A Review on Recent Machine Learning Applications for Addiction Disorders
Amina Bouhadja, Abdelkrim Bouramoul
(2022), pp. 1-8
Closed Access | Times Cited: 1
Clinical prediction of extra-medical use of prescription pain relievers from a representative United States sample
Christopher L. Thompson, Karl C. Alcover, Sarah W. Yip
Preventive Medicine (2021) Vol. 149, pp. 106610-106610
Closed Access | Times Cited: 1
OUP accepted manuscript
Shirong Zhao, Jamie A. Browning, Yan Cui, et al.
Journal of Pharmaceutical Health Services Research (2021)
Open Access | Times Cited: 1
Using Machine Learning and Administrative Data to Predict Premature Births
Yong‐Jin Choi, J. Ramón Gil-García
Authorea (Authorea) (2023)
Open Access
Advancing Equity in Opioid Use Disorder Prediction: A Bias Mitigation Algorithm for Accurate and Fair Outcomes
Mohammad Yaseliani, Md Mahmudul Hasan, Md. Noor‐E‐Alam
(2023)
Open Access
Advancing Equity in Opioid Use Disorder Prediction: A Bias Mitigation Algorithm for Accurate and Fair Outcomes
Mohammad Yaseliani, Md. Noor‐E‐Alam, Md Mahmudul Hasan
(2023)
Open Access
Advancing Equity in Opioid Use Disorder Prediction: A Bias Mitigation Algorithm for Accurate and Fair Outcomes
Mohammad Yaseliani, Md. Noor‐E‐Alam, Md Mahmudul Hasan
(2023)
Open Access
Machine Learning Approches for Prediction of Mental Health Issues in Adolescents: A Comparative Survey
K.M. Haroon, Sidra Minhas, Nosheen Sabahat, et al.
VFAST Transactions on Software Engineering (2023) Vol. 11, Iss. 1, pp. 37-50
Open Access
Analytical Approach of Machine Learning for Prediction Models
Mohit Kumar, Sanjay Kumar Dubey
(2023) Vol. 16, pp. 628-632
Closed Access
Técnicas de Machine Learning aplicadas al consumo de sustancias psicoactivas ilícitas: Un mapeo sistémico
Jefferson Eduardo Campo Yule, Danny alberto Díaz Mage, Hugo Ordóñez
Inge CUC (2023) Vol. 19, Iss. 2
Open Access
Mitigating Sociodemographic Bias in Opioid Use Disorder Prediction: Fairness-Aware Machine Learning Framework (Preprint)
Mohammad Yaseliani, Md. Noor‐E‐Alam, Md Mahmudul Hasan
(2023)
Open Access
Identifying opioid misuse among adolescents: Is the answer hiding in plain sight?
Dmitry Tumin, Tarun Bhalla
Preventive Medicine (2020) Vol. 131, pp. 105950-105950
Closed Access

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