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:

An implementation of a hybrid method based on machine learning to identify biomarkers in the Covid-19 diagnosis using DNA sequences
Bihter Daş
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 230, pp. 104680-104680
Open Access | Times Cited: 6

Showing 6 citing articles:

COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach
Dilber Uzun Ozsahin, Efe Precious Onakpojeruo, Basil Bartholomew Duwa, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1264-1264
Open Access | Times Cited: 18

A comparative study of statistical models for forecasting Covid-19 cases in Greece
Nuriye Sancar, Michael Ogbonna O. Okonkwo, Efe Precious Onakpojeruo, et al.
AIP conference proceedings (2024) Vol. 3085, pp. 020029-020029
Open Access | Times Cited: 4

Application of genomic signal processing as a tool for high-performance classification of SARS-CoV-2 variants: a machine learning-based approach
Subhajit Kar, Madhabi Ganguly
Soft Computing (2024) Vol. 28, Iss. 4, pp. 2891-2918
Closed Access | Times Cited: 1

The Effect of Numerical Mapping Techniques on Performance in Genomic Research
Seda Nur GÜLOCAK, Bihter Daş
Sakarya University Journal of Computer and Information Sciences (2022) Vol. 5, Iss. 3, pp. 315-340
Open Access | Times Cited: 1

Genetic Signal Processing for Categorizing Genomic Data using Convolutional Neural Networks
Padmaja Pulicherla, Srinivas Aluvala, Munimanda Premchander, et al.
(2023), pp. 1-7
Closed Access

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