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:

Editorial for the Special Issue on “Machine Learning in Healthcare and Biomedical Application”
Alessia Sarica
Algorithms (2022) Vol. 15, Iss. 3, pp. 97-97
Open Access | Times Cited: 7

Showing 7 citing articles:

Explainable machine learning with pairwise interactions for the classification of Parkinson’s disease and SWEDD from clinical and imaging features
Alessia Sarica, Andrea Quattrone, Aldo Quattrone
Brain Imaging and Behavior (2022) Vol. 16, Iss. 5, pp. 2188-2198
Open Access | Times Cited: 22

Conformal Prediction for Uncertainty Quantification in Brain Age Estimation Using Random Forests Quantile Regression on MRI Features of the HCP Young Adult
Alessia Sarica, Chiara Camastra, Assunta Pelagi, et al.
Lecture notes in computer science (2025), pp. 132-146
Closed Access

Introducing the Rank-Biased Overlap as Similarity Measure for Feature Importance in Explainable Machine Learning: A Case Study on Parkinson’s Disease
Alessia Sarica, Andrea Quattrone, Aldo Quattrone
Lecture notes in computer science (2022), pp. 129-139
Closed Access | Times Cited: 17

Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer’s disease
Alessia Sarica, Federica Aracri, Maria Giovanna Bianco, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 6

Conversion from Mild Cognitive Impairment to Alzheimer’s Disease: A Comparison of Tree-Based Machine Learning Algorithms for Survival Analysis
Alessia Sarica, Federica Aracri, Maria Giovanna Bianco, et al.
Lecture notes in computer science (2023), pp. 179-190
Closed Access | Times Cited: 3

Applications of Machine Learning in Healthcare: An Overview
Soumya Samarpita, Rabinarayan Satpathy
(2022), pp. 51-56
Closed Access | Times Cited: 5

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