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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:

How machine learning is used to study addiction in digital healthcare: A systematic review
Bijoy Chhetri, Lalit Mohan Goyal, Mamta Mittal
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 2, pp. 100175-100175
Open Access | Times Cited: 21

Showing 21 citing articles:

Enhancing mental health with Artificial Intelligence: Current trends and future prospects
David B. Olawade, Ojima Z. Wada, Aderonke Odetayo, et al.
Journal of Medicine Surgery and Public Health (2024) Vol. 3, pp. 100099-100099
Open Access | Times Cited: 72
Exploring artificial intelligence and big data scholarship in information systems: A citation, bibliographic coupling, and co-word analysis
Rahul Dwivedi, Sridhar Nerur, VenuGopal Balijepally
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 2, pp. 100185-100185
Open Access | Times Cited: 49
An investigation of novel features for predicting student happiness in hybrid learning platforms – An exploration using experiments on trace data
Chaman Verma, Zoltán Illés, Deepak Kumar
International Journal of Information Management Data Insights (2024) Vol. 4, Iss. 1, pp. 100219-100219
Open Access | Times Cited: 8
Machine Learning in Addiction Research: Advancements, Challenges, and Future Directions
Rita Rani Talukdar, Priti Das
Studies in computational intelligence (2025), pp. 207-219
Closed Access
Diagnosis of Neurological Disease Using Bioinspired Algorithms
Inam Ul Haq
(2024), pp. 227-268
Closed Access | Times Cited: 4
Improving diagnosis-based quality measures: an application of machine learning to the prediction of substance use disorder among outpatients
Katherine J. Hoggatt, Alex H. S. Harris, Corey J. Hayes, et al.
BMJ Open Quality (2025) Vol. 14, Iss. 1, pp. e003017-e003017
Open Access
Revolutionising alcohol use disorder treatment in developing countries: integrating artificial intelligence and technology-driven approaches
Akhil P. Joseph, Anithamol Babu, L T Om Prakash
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 3
Innovative Livestock: A Survey of Artificial Intelligence Techniques in Livestock Farming Management
Maad M. Mijwil, Oluwaseun A. Adelaja, Amr Badr, et al.
Wasit Journal of Computer and Mathematics Science (2023) Vol. 2, Iss. 4, pp. 99-106
Open Access | Times Cited: 6
Predictive Analytics in Marketing Using Artificial Intelligence
Rishi Prakash Shukla, Divya Juneja, Shriya Monga
Lecture notes in networks and systems (2024), pp. 213-224
Closed Access | Times Cited: 1
Closing the Digital Divide in Interventions for Substance Use Disorder
Jazmin Hampton, Purity Mugambi, Emily Caggiano, et al.
Journal of Psychiatry and Brain Science (2024)
Open Access | Times Cited: 1
How machine learning algorithms can examine patterns in multiple substance addictions: predicting the effects and interactions of psychoactive substances
Wafia Abada, Abdelkrim Bouramoul, Moustafa Sadek Kahil
International Journal of Computers and Applications (2024), pp. 1-11
Closed Access | Times Cited: 1
Machine learning in healthcare strategic management: a systematic literature review
Sand Mohammad Salhout
Arab Gulf Journal of Scientific Research (2023) Vol. 42, Iss. 4, pp. 1530-1554
Open Access | Times Cited: 4
Riskier tests for p factor hypotheses: A reply to Watts et al. (2023)
Orestis Zavlis, Peter Fonagy, Richard P. Bentall, et al.
(2024)
Open Access
Exploring Health Informatics in the Battle against Drug Addiction: Digital Solutions for the Rising Concern
Shakila Jahan Shimu, Srushti Moreshwar Patil, Ebenezer Dadzie, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 6, pp. 556-556
Open Access
Drinkers Voice Recognition Intelligent System: An Ensemble Stacking Machine Learning Approach
Panduranga Vital Terlapu
Annals of Data Science (2024)
Closed Access
Craving for a Robust Methodology: A Systematic Review of Machine Learning Algorithms on Substance-Use Disorders Treatment Outcomes
Bernardo Paim de Mattos, Christian Mattjie, Rafaela Ravazio, et al.
International Journal of Mental Health and Addiction (2024)
Open Access
Examining the effect of AI-BDA on manufacturing firm performance: An Indian approach
Vaibhav S. Narwane, Pragati Priyadarshinee
International Journal of Information Management Data Insights (2024) Vol. 5, Iss. 1, pp. 100306-100306
Closed Access
Máquina de vetores de suporte para predição de ansiedade em dependentes químicos em reabilitação
Pedro Elias Patente Freire, Ana Clara Borges Silva, Lucas Magalhaes Portilho Carrara, et al.
Journal of Health Informatics (2024) Vol. 16, Iss. Especial
Open Access
Technology-Assisted Treatment of Alcohol Use Disorder
D.M. Camarena Cabrera, Myrna M. Khan
Psychiatry update (2024), pp. 109-116
Closed Access
Attempts to Better Understand Addiction using Etiological Models of Addiction
Swati Mudgil -, Chandra Kumari
International Journal For Multidisciplinary Research (2023) Vol. 5, Iss. 4
Open Access
A Review on Addiction Types, Involvement of Women, and Role of Covid-19 Lockdown in Addiction Behavior
Aishwarya Ramakrishnan, Varun Daram, S. Snigdha, et al.
Journal of Addiction Science (2023) Vol. 9, Iss. 2
Open Access
Harnessing Artificial Intelligence for Preventing and Detecting Addiction in Digital Healthcare and social media among students of age group 12 to 18
Karnam Akhil, Jangili Sireesha, G. Venkata Siva Sai, et al.
(2023) Vol. 25, pp. 936-942
Closed Access
Técnicas de Machine Learning aplicadas al consumo de sustancias psicoactivas ilícitas: Un mapeo sistémico
Jefferson Eduardo Campo Yule, Danny alberto Díaz Mage, Hugo Ordóñez
Inge CUC (2023) Vol. 19, Iss. 2
Open Access
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