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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:

Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques
Miren Hayet-Otero, Fernando García-García, Dae‐Jin Lee, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284150-e0284150
Open Access | Times Cited: 10

Showing 10 citing articles:

Comparative analysis of feature selection techniques for COVID-19 dataset
Farideh Mohtasham, Mohamad Amin Pourhoseingholi, Seyed Saeed Hashemi Nazari, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Cost-Sensitive Ordinal Classification Methods to Predict SARS-CoV-2 Pneumonia Severity
Fernando García-García, Dae‐Jin Lee, Pedro Pablo España, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 5, pp. 2613-2623
Open Access | Times Cited: 2
Performance evaluation of classifiers for the COVID-19 symptom-based dataset using different feature selection methods
Iliya Fauzan, Rosaida Rosly, Aceng Sambas
International Journal of Advanced Technology and Engineering Exploration (2023) Vol. 10, Iss. 103
Open Access | Times Cited: 3
An explainable multi-class decision support framework to predict COVID-19 prognosis utilizing biomarkers
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat K, et al.
Cogent Engineering (2023) Vol. 10, Iss. 2
Open Access | Times Cited: 3
Feature identification using hypotheses of relevance and a 2D-cascade of SEQENS ensembles
Joaquim Arlandis, Rafael Llobet, J. Ramón Navarro-Cerdán, et al.
Research Square (Research Square) (2024)
Open Access
Identification of Biomarkers for Severity in COVID-19 Through Comparative Analysis of Five Machine Learning Algoritms
Juan P. Olán-Ramón, Freddy De la Cruz-Ruiz, Eduardo De la Cruz-Cano, et al.
F1000Research (2024) Vol. 13, pp. 688-688
Open Access
Obtaining patient phenotypes in SARS-CoV-2 pneumonia, and their association with clinical severity and mortality
Fernando García-García, Dae‐Jin Lee, Mónica Nieves-Ermecheo, et al.
Pneumonia (2024) Vol. 16, Iss. 1
Open Access
Stability of Feature Selection in Multi-Omics Data Analysis
Tomasz Łukaszuk, Jerzy Krawczuk, Kamil Żyła, et al.
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11103-11103
Open Access
Algorithm for Constructing the Hazard Function of the Extended Cox Model and its Application to the Prostate Cancer Patient Database
Il'ya Igorevich Mikulik, Г. М. Жаринов, A. Yu. Kneev
Advanced Engineering Research (Rostov-on-Don) (2024) Vol. 24, Iss. 4, pp. 413-423
Open Access
Machine Learning-Based Monitoring and Prognosis of Chronic Kidney Disease Patients
Sandeep P. Abhang, Manoj Tarambale, Ali Esnaashariyeh, et al.
(2023), pp. 1-6
Closed Access
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