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:
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
Sang Won Bae, Brian Suffoletto, Tongze Zhang, et al.
JMIR Formative Research (2023) Vol. 7, pp. e39862-e39862
Open Access | Times Cited: 12
Showing 12 citing articles:
Behavioral health and generative AI: a perspective on future of therapies and patient care
Emre Sezgın, Ian McKay
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 9
Emre Sezgın, Ian McKay
npj Mental Health Research (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 9
Idiographic Lapse Prediction with State Space Modeling: Algorithm Development and Validation (Preprint)
Eric Pulick, John J. Curtin, Yonatan Mintz
(2025)
Closed Access
Eric Pulick, John J. Curtin, Yonatan Mintz
(2025)
Closed Access
Commentary on Östh et al.: Sensor‐based approaches to inform alcohol interventions – beyond BAC
Brian Suffoletto
Addiction (2025)
Closed Access
Brian Suffoletto
Addiction (2025)
Closed Access
Alcohol and the Brain–Gut Axis: The Involvement of Microglia and Enteric Glia in the Process of Neuro-Enteric Inflammation
Mohammed A. S. Khan, Sulie L. Chang
Cells (2023) Vol. 12, Iss. 20, pp. 2475-2475
Open Access | Times Cited: 12
Mohammed A. S. Khan, Sulie L. Chang
Cells (2023) Vol. 12, Iss. 20, pp. 2475-2475
Open Access | Times Cited: 12
S-ADL: Exploring Smartphone-based Activities of Daily Living to Detect Blood Alcohol Concentration in a Controlled Environment
Hansoo Lee, Auk Kim, Sang Won Bae, et al.
(2024), pp. 1-25
Open Access | Times Cited: 2
Hansoo Lee, Auk Kim, Sang Won Bae, et al.
(2024), pp. 1-25
Open Access | Times Cited: 2
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
Kendra Wyant, Hannah Moshontz, Stephanie B. Ward, et al.
JMIR mhealth and uhealth (2023) Vol. 11, pp. e41833-e41833
Open Access | Times Cited: 5
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults
Tongze Zhang, Tammy Chung, Anind K. Dey, et al.
(2024), pp. 01-15
Closed Access | Times Cited: 1
Tongze Zhang, Tammy Chung, Anind K. Dey, et al.
(2024), pp. 01-15
Closed Access | Times Cited: 1
Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention development
Olga Perski, Dimitra Kale, Corinna Leppin, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 8, pp. e0000594-e0000594
Open Access
Olga Perski, Dimitra Kale, Corinna Leppin, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 8, pp. e0000594-e0000594
Open Access
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
Xinya Huang, Zheng Dai, Kesheng Wang, et al.
(2024), pp. 1-10
Closed Access
Enhancing Interpretable, Transparent and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions (Preprint)
Sang Won Bae, Tammy Chung, Tongze Zhang, et al.
JMIR AI (2024) Vol. 4, pp. e52270-e52270
Open Access
Sang Won Bae, Tammy Chung, Tongze Zhang, et al.
JMIR AI (2024) Vol. 4, pp. e52270-e52270
Open Access
Towards Automated, Interpretable and Unobtrusive Detection of Acute Marijuana Intoxication in the Natural Environment: Harnessing Smartphones, Wearables, Machine Learning and Explainable AI to Empower Clinical Decision Support for Just-In-Time Adaptive Interventions (Preprint)
Sang Won Bae, Tammy Chung, Tongze Zhang, et al.
(2023)
Closed Access
Sang Won Bae, Tammy Chung, Tongze Zhang, et al.
(2023)
Closed Access
