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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:

Binge drinking in early adulthood: A machine learning approach
Nathaniel A. Dell, Sweta Prasad Srivastava, Michael G. Vaughn, et al.
Addictive Behaviors (2021) Vol. 124, pp. 107122-107122
Closed Access | Times Cited: 9

Showing 9 citing articles:

A bibliometric analysis of emerging adulthood in the context of higher education institutions: A psychological perspectives
Walton Wider, Muhammad Ashraf Fauzi, Su Wan Gan, et al.
Heliyon (2023) Vol. 9, Iss. 6, pp. e16988-e16988
Open Access | Times Cited: 17
Managing Students’ Creativity in Music Education – The Mediating Role of Frustration Tolerance and Moderating Role of Emotion Regulation
Lei Wang, Na Jiang
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 8
Correlates of cannabis use disorder in the United States: A comparison of logistic regression, classification trees, and random forests
Nathaniel A. Dell, Michael G. Vaughn, Sweta Prasad Srivastava, et al.
Journal of Psychiatric Research (2022) Vol. 151, pp. 590-597
Open Access | Times Cited: 8
Substance Use Treatment Completion Among Unhoused Young Adults: A Predictive Modeling Approach
Nathaniel A. Dell, Charvonne Long, Christopher P. Salas‐Wright, et al.
Journal of Drug Issues (2024)
Closed Access | Times Cited: 1
A machine learning approach using migration-related cultural stress to classify depression and post-traumatic stress disorder among hurricane survivors
Nathaniel A. Dell, Christopher P. Salas‐Wright, Michael G. Vaughn, et al.
Journal of Affective Disorders (2023) Vol. 347, pp. 77-84
Open Access | Times Cited: 3
Psychosocial Indicators of Adolescent Alcohol, Cigarette, and Marijuana Use: An Analysis of Normalized, Harmonized, and Pooled Data
William B. Hansen, Santiago Saldana, Edward H. Ip
Evaluation & the Health Professions (2022) Vol. 45, Iss. 4, pp. 341-353
Open Access | Times Cited: 5
Predicting moderate drinking behaviors in National Health and Nutrition Examination Survey participants using biochemical and demographical factors with machine learning
Kalan Leaks, Trina M. Norden‐Krichmar, James P. Brody
Alcohol (2023) Vol. 113, pp. 1-10
Open Access | Times Cited: 2
Machine Learning-Based Prediction of Binge Drinking among Adults in the United State: Analysis of the 2022 Health Information National Trends Survey
Xinya Huang, Zheng Dai, Kesheng Wang, et al.
(2024), pp. 1-10
Closed Access
Editorial for “Cognitive Challenges Are Better in Distinguishing Binge From Nonbinge Drinkers: An Exploratory Deep‐Learning Study of fMRI Data of Multiple Behavioral Tasks and Resting State”
Elza Azri Othman
Journal of Magnetic Resonance Imaging (2022) Vol. 57, Iss. 3, pp. 869-870
Closed Access
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