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:

Supporting Machine Learning Model in the Treatment of Chronic Pain
Anna Visibelli, Luana Peruzzi, Paolo Fusar‐Poli, et al.
Biomedicines (2023) Vol. 11, Iss. 7, pp. 1776-1776
Open Access | Times Cited: 6

Showing 6 citing articles:

Unsupervised Learning in Precision Medicine: Unlocking Personalized Healthcare through AI
Alfonso Trezza, Anna Visibelli, Bianca Roncaglia, et al.
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9305-9305
Open Access | Times Cited: 6

SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development
Ottavia Spiga, Anna Visibelli, Francesco Pettini, et al.
Frontiers in Cellular and Infection Microbiology (2025) Vol. 15
Open Access

Predicting therapy dropout in chronic pain management: a machine learning approach to cannabis treatment
Anna Visibelli, Rebecca Finetti, Bianca Roncaglia, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access

Moving towards the use of artificial intelligence in pain management
Ryan Antel, Sera Whitelaw, Geneviève Gore, et al.
European Journal of Pain (2024)
Open Access | Times Cited: 3

Exploring the Potential of Nonpsychoactive Cannabinoids in the Development of Materials for Biomedical and Sports Applications
Dulexy Solano-Orrala, Dennis A. Silva-Cullishpuma, Eliana Díaz-Cruces, et al.
ACS Applied Bio Materials (2024)
Closed Access | Times Cited: 1

Three-Dimensional Quantitative Structure–Activity Relationship Study of Transient Receptor Potential Vanilloid 1 Channel Antagonists Reveals Potential for Drug Design Purposes
Beatrice Gianibbi, Anna Visibelli, Giacomo Spinsanti, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 14, pp. 7951-7951
Open Access

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