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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 identify predictors of imminent drinking and create tailored messages for at-risk drinkers experiencing homelessness
Scott T. Walters, Michael S. Businelle, Robert Suchting, et al.
Journal of Substance Abuse Treatment (2021) Vol. 127, pp. 108417-108417
Open Access | Times Cited: 24

Showing 24 citing articles:

Artificial intelligence in preventive cardiology
Adham El Sherbini, Robert S. Rosenson, Mahmoud Al Rifai, et al.
Progress in Cardiovascular Diseases (2024)
Closed Access | Times Cited: 9
Person-specific and pooled prediction models for binge eating, alcohol use and binge drinking in bulimia nervosa and alcohol use disorder
Nicolas Leenaerts, Peter D. Soyster, Jenny Ceccarini, et al.
Psychological Medicine (2024) Vol. 54, Iss. 10, pp. 2758-2773
Open Access | Times Cited: 4
Ecological Momentary Assessment of Alcohol Consumption and Its Concordance with Transdermal Alcohol Detection and Timeline Follow‐Back Self‐report Among Adults Experiencing Homelessness
Eun‐Young Mun, Xiaoyin Li, Michael S. Businelle, et al.
Alcoholism Clinical and Experimental Research (2021) Vol. 45, Iss. 4, pp. 864-876
Open Access | Times Cited: 30
Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study
Sang Won Bae, Brian Suffoletto, Tongze Zhang, et al.
JMIR Formative Research (2023) Vol. 7, pp. e39862-e39862
Open Access | Times Cited: 12
Development and preliminary effectiveness of a smartphone‐based, just‐in‐time adaptive intervention for adults with alcohol misuse who are experiencing homelessness
Scott T. Walters, Eun‐Young Mun, Zhengqi Tan, et al.
Alcoholism Clinical and Experimental Research (2022) Vol. 46, Iss. 9, pp. 1732-1741
Open Access | Times Cited: 13
Identifying risk profiles for marijuana vaping among U.S. young adults by recreational marijuana legalization status: A machine learning approach
Dae‐Hee Han, Dong‐Chul Seo
Drug and Alcohol Dependence (2022) Vol. 232, pp. 109330-109330
Closed Access | Times Cited: 11
Inferred networks, machine learning, and health data
John Matta, Virender Singh, Trevor Auten, et al.
PLoS ONE (2023) Vol. 18, Iss. 1, pp. e0280910-e0280910
Open Access | Times Cited: 5
Ecological Momentary Assessment and Personalized Networks in Cognitive Bias Modification Studies on Addiction: Advances and Challenges
Alessandra C. Mansueto, Ting Pan, Pieter Van Dessel, et al.
Journal of Experimental Psychopathology (2023) Vol. 14, Iss. 2
Open Access | Times Cited: 5
Acceptability of Personal Sensing Among People With Alcohol Use Disorder: Observational Study
Kendra Wyant, Hannah Moshontz, Stephanie B. Ward, et al.
JMIR mhealth and uhealth (2023) Vol. 11, pp. e41833-e41833
Open Access | Times Cited: 5
A Smartphone-Based Intervention for Anxiety and Depression in Racially and Ethnically Diverse Adults (EASE): Protocol for a Randomized Controlled Trial
Lorra Garey, Michael J. Zvolensky, Matthew W. Gallagher, et al.
JMIR Research Protocols (2022) Vol. 11, Iss. 12, pp. e40713-e40713
Open Access | Times Cited: 6
Factors associated with prompted smartphone-based survey completion and message viewing in smokers initially unready to quit (Preprint)
Clayton Ulm, Sixia Chen, Brianna Fleshman, et al.
(2024)
Open Access
Human addictive behavior prediction by using lime with ensemble model
V Sabapathi, J. Selvin Paul Peter, W. T. Chembian, et al.
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 1, pp. 634-634
Open Access
Smartphone-Based Survey and Message Compliance in Adults Initially Unready to Quit Smoking: Secondary Analysis of a Randomized Controlled Trial
Clayton Ulm, Sixia Chen, Brianna Fleshman, et al.
JMIR Formative Research (2024) Vol. 8, pp. e56003-e56003
Open Access
Machine learning models for temporally precise lapse prediction in alcohol use disorder.
Kendra Wyant, Sarah June Kittleson Sant'Ana, Gaylen Fronk, et al.
Journal of Psychopathology and Clinical Science (2024) Vol. 133, Iss. 7, pp. 527-540
Open Access
Using risk terrain modeling and geographically-explicit ecological momentary assessments to examine alcohol use in adults experiencing homelessness
Jamie M. Gajos, Alejandro Giménez-Santana, Jeffery T. Walker, et al.
Journal of Crime and Justice (2024), pp. 1-14
Closed Access
Identifying predictors of multi-year cannabis vaping in U.S. Young adults using machine learning
Siyoung Choe, Jon Agley, Kit K. Elam, et al.
Addictive Behaviors (2024) Vol. 160, pp. 108167-108167
Closed Access
Machine Learning Classifies the Smoking and Drinking Impact
Kottur Siddaraju Gari Sai Kiran, Prof. Mrs. Usha Sree R
International Journal of Advanced Research in Science Communication and Technology (2024), pp. 111-117
Open Access
Systematic Review of the Influence of Sociocultural Determinants of Health on Mobile-based Ecological Momentary Assessment Studies (Preprint)
Yinan Sun, Aditi Jaiswal, Christopher Slade, et al.
(2024)
Closed Access
Person-specific and Pooled Prediction Models for Binge eating, Alcohol Use and Binge Drinking in Bulimia Nervosa and Alcohol Use Disorder: An Experience Sampling Method Study.
Nicolas Leenaerts, Peter D. Soyster, Jenny Ceccarini, et al.
(2023)
Open Access | Times Cited: 1
Machine learning models for temporally precise lapse prediction in alcohol use disorder
Kendra Wyant, Sarah June Kittleson Sant'Ana, Gaylen Fronk, et al.
(2023)
Open Access | Times Cited: 1
A longitudinal network model to assess affect structures in ecological momentary assessment: Likert and slider response formats may not be equivalent
Dingjing Shi, Emily T. Hébert, Michael S. Businelle
(2023)
Open Access | Times Cited: 1
Acceptability of Personal Sensing Among People with Alcohol Use Disorder: Observational Study
Kendra Wyant, Hannah Moshontz, Stephanie B. Ward, et al.
(2022)
Open Access | Times Cited: 2
Community-Based Multi-layer Analytics Architecture for Civic Violations
Daniel Perez Hernandez, Daryll John O. Medina, Angelica Salazar, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2023) Vol. 7, pp. 1-9
Closed Access
Relations between affect, self-efficacy, and alcohol expectancies in adults experiencing homelessness
Jamie M. Gajos, Karen L. Cropsey, Scott T. Walters, et al.
Addiction Research & Theory (2023) Vol. 32, Iss. 6, pp. 440-445
Closed Access
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