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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:

Predicting the Risk of Alcohol Use Disorder Using Machine Learning: A Systematic Literature Review
Ali Ebrahimi, Uffe Kock Wiil, Thomas Schmidt, et al.
IEEE Access (2021) Vol. 9, pp. 151697-151712
Open Access | Times Cited: 18

Showing 18 citing articles:

Harnessing near-infrared and Raman spectral sensing and artificial intelligence for real-time monitoring and precision control of bioprocess
Feng Xu, Su Li, Hao Gao, et al.
Bioresource Technology (2025) Vol. 421, pp. 132204-132204
Closed Access | Times Cited: 1
A Comprehensive Study of Feature Selection Techniques in Machine Learning Models
Xiaoyan Cheng
SSRN Electronic Journal (2025)
Closed Access | Times Cited: 1
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 14
Machine learning algorithms for in-line monitoring during yeast fermentations based on Raman spectroscopy
Debiao Wu, Yaying Xu, Feng Xu, et al.
Vibrational Spectroscopy (2024) Vol. 132, pp. 103672-103672
Open Access | Times Cited: 5
Transformer Models and Convolutional Networks with Different Activation Functions for Swallow Classification Using Depth Video Data
Derek Ka-Hei Lai, Ethan Shiu-Wang Cheng, Bryan Pak-Hei So, et al.
Mathematics (2023) Vol. 11, Iss. 14, pp. 3081-3081
Open Access | Times Cited: 6
AUD-DSS: a decision support system for early detection of patients with alcohol use disorder
Ali Ebrahimi, Uffe Kock Wiil, Ruben Baskaran, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Detection of Alcohol Drug Consumption Among Youngsters using Eye Gazing Movement and Deep Learning Techniques
M Pyingkodi, S Parvathavarthini, Suresh Palarimath, et al.
(2024), pp. 739-743
Closed Access | Times Cited: 1
Predicting Student’s Alcohol Drinking Habits Using Machine Learning Techniques
R Sanjan, Hemanth Kumar
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 1833-1838
Open Access | Times Cited: 1
Systematic Reviews of Machine Learning in Healthcare: A Literature Review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
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
Linear Monotonic Inter-electrode Associations as Quantitative EEG for Alcoholism Diagnosis
Ruchi Holker, Seba Susan
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access
Neural correlates associated with a family history of alcohol use disorder: A narrative review of recent findings
Anita Cservenka, Sheeva Azma
Alcohol Clinical and Experimental Research (2024)
Closed Access
Investigating the Factors Affecting Risky Levels of Alcohol Consumption among Students Using Machine Learning Approach
Sara Fariha Shanchary, Md Naved Meraz, Ayman Ibne Hakim, et al.
(2024), pp. 7-13
Closed Access
Deep Learning Techniques for Photovoltaic Solar Tracking Systems: A Systematic Literature Review
Musa Phiri, Mwenge Mulenga, Aaron Zimba, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Common Laboratory Parameters Are Useful for Screening for Alcohol Use Disorder: Designing a Predictive Model Using Machine Learning
Juana Pinar-Sanchez, Pablo Bermejo, Julián Solís García del Pozo, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 7, pp. 2061-2061
Open Access | Times Cited: 2
Predicting Juvenile Delinquency and Criminal Behavior in Adulthood Using Machine Learning
Ulrich Schroeders, Antonia Mariss, Julia Sauter, et al.
(2023)
Open Access
Machine Learning algorithms for in-line monitoring during Yeast Fermentations based on Raman Spectroscopy
Debiao Wu, Yaying Xu, Feng Xu, et al.
Research Square (Research Square) (2023)
Open Access
Machine Learning Algorithms for In-Line Monitoring During Yeast Fermentations Based on Raman Spectroscopy
Debiao Wu, Yaying Xu, Feng Xu, et al.
(2023)
Open Access
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