OpenAlex Citation Counts

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:

Feature Extraction for Heroin-Use Classification Using Imbalanced Random Forest Methods
Matthew Beattie, Charles Nicholson
Substance Use & Misuse (2020) Vol. 56, Iss. 1, pp. 123-130
Closed Access | Times Cited: 6

Showing 6 citing articles:

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: 23

Soil Erosion Responses to CMIP6 Climate Scenarios and Land Cover Changes in the Gidabo Watershed, Ethiopia: Implications for Sustainable Watershed Management
Degefu Dogiso, Alemayehu Muluneh, Abiot Ketema
Land Degradation and Development (2025)
Closed Access

Research on equipment corrosion diagnosis method and prediction model driven by data
Jianfeng Yang, Ru Li, Liangchao Chen, et al.
Process Safety and Environmental Protection (2021) Vol. 158, pp. 418-431
Closed Access | Times Cited: 30

Utilizing Machine Learning for Early Intervention and Risk Management in the Opioid Overdose Crisis
Andy Man Yeung Tai, Alireza Kazemi, Jane J. Kim, et al.
Wiley Interdisciplinary Reviews Computational Statistics (2025) Vol. 17, Iss. 1
Open Access

Exploring the Nexus of Mental Health Research and Data Synthesis: Role of Medical Data Quality in Machine Learning for Addiction Studies
Wafia Abada, Abdelkrim Bouramoul
(2024), pp. 465-470
Closed 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

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Requested Article:

Showing 6 citing articles:

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