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:

An interpretable machine learning model of cross-sectional U.S. county-level obesity prevalence using explainable artificial intelligence
Ben Allen
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292341-e0292341
Open Access | Times Cited: 4

Showing 4 citing articles:

Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES
Zhiyuan Sun, Yunhao Yuan, Vahid Farrahi, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3

Recent Applications of Explainable AI (XAI): A Systematic Literature Review
Mirka Saarela, Vili Podgorelec
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8884-8884
Open Access | Times Cited: 2

Chronic Diseases: A Comprehensive Review of Applications for Prediction of Obesity
Alexander A. Huang
Interventions in Obesity & Diabetes (2024) Vol. 6, Iss. 4
Open Access

Publicity of Southern Obesity Rates and Weight Bias
Ronald B. Larson
Papers in Applied Geography (2024), pp. 1-18
Closed Access

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Requested Article:

Showing 4 citing articles:

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