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:
Classical and Neural Network Machine Learning to Determine the Risk of Marijuana Use
Laura Zoboroski, Torrey Wagner, Brent Langhals
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 14, pp. 7466-7466
Open Access | Times Cited: 7
Laura Zoboroski, Torrey Wagner, Brent Langhals
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 14, pp. 7466-7466
Open Access | Times Cited: 7
Showing 7 citing articles:
How machine learning is used to study addiction in digital healthcare: A systematic review
Bijoy Chhetri, Lalit Mohan Goyal, Mamta Mittal
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 2, pp. 100175-100175
Open Access | Times Cited: 23
Bijoy Chhetri, Lalit Mohan Goyal, Mamta Mittal
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 2, pp. 100175-100175
Open Access | Times Cited: 23
Enhancing Social Media Platforms with Machine Learning Algorithms and Neural Networks
Hamed Taherdoost
Algorithms (2023) Vol. 16, Iss. 6, pp. 271-271
Open Access | Times Cited: 17
Hamed Taherdoost
Algorithms (2023) Vol. 16, Iss. 6, pp. 271-271
Open Access | Times Cited: 17
Applications of Machine Learning in Cannabis Research: A Scoping Review
Jeremy Y. Ng, Mrinal M. Lad, Dhruv Patel, et al.
European Journal of Integrative Medicine (2025)
Open Access
Jeremy Y. Ng, Mrinal M. Lad, Dhruv Patel, et al.
European Journal of Integrative Medicine (2025)
Open Access
A Bayesian learning model to predict the risk for cannabis use disorder
Rajapaksha Mudalige Dhanushka S. Rajapaksha, Francesca M. Filbey, Swati Biswas, et al.
Drug and Alcohol Dependence (2022) Vol. 236, pp. 109476-109476
Open Access | Times Cited: 8
Rajapaksha Mudalige Dhanushka S. Rajapaksha, Francesca M. Filbey, Swati Biswas, et al.
Drug and Alcohol Dependence (2022) Vol. 236, pp. 109476-109476
Open Access | Times Cited: 8
How machine learning algorithms can examine patterns in multiple substance addictions: predicting the effects and interactions of psychoactive substances
Wafia Abada, Abdelkrim Bouramoul, Moustafa Sadek Kahil
International Journal of Computers and Applications (2024), pp. 1-11
Closed Access | Times Cited: 1
Wafia Abada, Abdelkrim Bouramoul, Moustafa Sadek Kahil
International Journal of Computers and Applications (2024), pp. 1-11
Closed Access | Times Cited: 1
Beyond cocaine and heroin use: a stacking ensemble-based framework for predicting the likelihood of subsequent substance use disorder using demographics and personality traits
Amina Bouhadja, Abdelkrim Bouramoul
International Journal of Computers and Applications (2023) Vol. 45, Iss. 11, pp. 722-733
Closed Access | Times Cited: 2
Amina Bouhadja, Abdelkrim Bouramoul
International Journal of Computers and Applications (2023) Vol. 45, Iss. 11, pp. 722-733
Closed Access | Times Cited: 2
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
Jefferson Eduardo Campo Yule, Danny alberto Díaz Mage, Hugo Ordóñez
Inge CUC (2023) Vol. 19, Iss. 2
Open Access
