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:
Machine Learning-Based Nicotine Addiction Prediction Models for Youth E-Cigarette and Waterpipe (Hookah) Users
Jeeyae Choi, Hee-Tae Jung, Anastasiya Ferrell, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 5, pp. 972-972
Open Access | Times Cited: 17
Jeeyae Choi, Hee-Tae Jung, Anastasiya Ferrell, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 5, pp. 972-972
Open Access | Times Cited: 17
Showing 17 citing articles:
Prospective predictors of electronic nicotine delivery system initiation in tobacco naive young adults: A machine learning approach
Nkiruka C. Atuegwu, Eric M. Mortensen, Suchitra Krishnan‐Sarin, et al.
Preventive Medicine Reports (2023) Vol. 32, pp. 102148-102148
Open Access | Times Cited: 8
Nkiruka C. Atuegwu, Eric M. Mortensen, Suchitra Krishnan‐Sarin, et al.
Preventive Medicine Reports (2023) Vol. 32, pp. 102148-102148
Open Access | Times Cited: 8
An ecological examination of early adolescent e-cigarette use: A machine learning approach to understanding a health epidemic
Alejandro Vázquez, Cynthia M. Navarro Flores, Byron H. García, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0287878-e0287878
Open Access | Times Cited: 2
Alejandro Vázquez, Cynthia M. Navarro Flores, Byron H. García, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0287878-e0287878
Open Access | Times Cited: 2
A machine learning approach to predict e-cigarette use and dependence among Ontario youth
Jiamin Shi, Rui Fu, Hayley A. Hamilton, et al.
Health Promotion and Chronic Disease Prevention in Canada (2022) Vol. 42, Iss. 1, pp. 21-28
Open Access | Times Cited: 12
Jiamin Shi, Rui Fu, Hayley A. Hamilton, et al.
Health Promotion and Chronic Disease Prevention in Canada (2022) Vol. 42, Iss. 1, pp. 21-28
Open Access | Times Cited: 12
Prediction of Problematic Smartphone Use: A Machine Learning Approach
Juyeong Lee, Woo-Sung Kim
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 12, pp. 6458-6458
Open Access | Times Cited: 11
Juyeong Lee, Woo-Sung Kim
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 12, pp. 6458-6458
Open Access | Times Cited: 11
Utility of Computational Approaches for Precision Psychiatry: Applications to Substance Use Disorders
Jasmin Vassileva, Jeung-Hyun Lee, Elena Psederska, et al.
Neuromethods (2023), pp. 211-231
Closed Access | Times Cited: 4
Jasmin Vassileva, Jeung-Hyun Lee, Elena Psederska, et al.
Neuromethods (2023), pp. 211-231
Closed Access | Times Cited: 4
Quick nic: novel smokeless nicotine products and pediatric trends
Fiona Dubrosa, Kara Sangiuolo, Julian Franco, et al.
Current Opinion in Pediatrics (2023) Vol. 35, Iss. 4, pp. 500-512
Closed Access | Times Cited: 2
Fiona Dubrosa, Kara Sangiuolo, Julian Franco, et al.
Current Opinion in Pediatrics (2023) Vol. 35, Iss. 4, pp. 500-512
Closed Access | Times Cited: 2
Prediction of Smoking Addiction Among Youths Using Elastic Net and KNN: A Machine Learning Approach
Shreerudra Pratik, Debasish Swapnesh Kumar Nayak, Rajendra Prasath, et al.
Lecture notes in computer science (2022), pp. 199-209
Closed Access | Times Cited: 3
Shreerudra Pratik, Debasish Swapnesh Kumar Nayak, Rajendra Prasath, et al.
Lecture notes in computer science (2022), pp. 199-209
Closed Access | Times Cited: 3
Quantification of Size-Binned Particulate Matter in Electronic Cigarette Aerosols Using Multi-Spectral Optical Sensing and Machine Learning
Hao Jiang, Keith Kolaczyk
Sensors (2024) Vol. 24, Iss. 21, pp. 7082-7082
Open Access
Hao Jiang, Keith Kolaczyk
Sensors (2024) Vol. 24, Iss. 21, pp. 7082-7082
Open Access
Feature Selection and Machine Learning Approaches in Prediction of Current E-Cigarette Use Among U.S. Adults in 2022
Wei Fang, Ying Liu, Chun Xu, et al.
International Journal of Environmental Research and Public Health (2024) Vol. 21, Iss. 11, pp. 1474-1474
Open Access
Wei Fang, Ying Liu, Chun Xu, et al.
International Journal of Environmental Research and Public Health (2024) Vol. 21, Iss. 11, pp. 1474-1474
Open Access
Modelling the nicotine pharmacokinetic profile for e-cigarettes using real time monitoring of consumers’ physiological measurements and mouth level exposure
Krishna Prasad, Allen Griffiths, Kavya Agrawal, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access
Krishna Prasad, Allen Griffiths, Kavya Agrawal, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access
Full Mouth Rehabilitation Using the All-on-Four Technique and Computer-Guided Surgery: A Case Report
Mhd Ayham Darwich, Hasan Nazha, Khaldoun Darwich, et al.
(2023)
Open Access | Times Cited: 1
Mhd Ayham Darwich, Hasan Nazha, Khaldoun Darwich, et al.
(2023)
Open Access | Times Cited: 1
Une approche d’apprentissage automatique pour prédire l’utilisation des cigarettes électroniques et la dépendance à celles-ci chez les jeunes de l’Ontario
Jiamin Shi, Rui Fu, Hayley A. Hamilton, et al.
Promotion de la santé et prévention des maladies chroniques au Canada (2022) Vol. 42, Iss. 1, pp. 23-31
Open Access | Times Cited: 1
Jiamin Shi, Rui Fu, Hayley A. Hamilton, et al.
Promotion de la santé et prévention des maladies chroniques au Canada (2022) Vol. 42, Iss. 1, pp. 23-31
Open Access | Times Cited: 1
Analysis of the Effects of Smoking Desire and Self-Efficacy on Nicotine Use Levels During the Covid-19 Pandemic Period Using Machine Learning Techniques
Sonay Duman, Yusuf Aydın, Petek Bilim, et al.
2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (2021), pp. 1-3
Closed Access | Times Cited: 1
Sonay Duman, Yusuf Aydın, Petek Bilim, et al.
2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (2021), pp. 1-3
Closed Access | Times Cited: 1
Modelling nicotine pharmacokinetic profile for e-cigarette using real time monitoring of consumer’s physiological measurements and mouth level exposure
Krishna Prasad, Allen Griffiths, Kavya Agrawal, et al.
Research Square (Research Square) (2023)
Open Access
Krishna Prasad, Allen Griffiths, Kavya Agrawal, et al.
Research Square (Research Square) (2023)
Open Access
An ecological examination of early adolescent e-cigarette use: A machine learning approach to understanding a health epidemic
Alejandro Vázquez, Cynthia M. Navarro Flores, Byron H. García, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Alejandro Vázquez, Cynthia M. Navarro Flores, Byron H. García, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
A machine learning approach to predict university students Hookah Smoking (HS)
Ahmed Burhan Mohammed, Ahmad Abdullah Mohammed Al-Mafrji
(2022), pp. 1-5
Closed Access
Ahmed Burhan Mohammed, Ahmad Abdullah Mohammed Al-Mafrji
(2022), pp. 1-5
Closed Access
Utility of computational approaches for precision psychiatry: Applications to substance use disorders
Jasmin Vassileva, Jeung Hyun Lee, Elena Psederska, et al.
(2022)
Open Access
Jasmin Vassileva, Jeung Hyun Lee, Elena Psederska, et al.
(2022)
Open Access
