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Cited by 357

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Comparison of deep learning approaches to predict COVID-19 infection

Open access
Alakus, Talha Burak, Turkoglu, Ibrahim·2020·Chaos, Solitons & Fractals
DOI 10.1016/j.chaos.2020.110120
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Citations

Cites

Research works printed but not linked: 37

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Cited by

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Metadata

Authors
Alakus, T. B., & Turkoglu, I.
Venue
Chaos, Solitons & Fractals
Publisher
Elsevier BV
Published
2020-11
Volume
140
Pages
110120
ISSN
0960-0779 (ISSN-L)
DOI
10.1016/j.chaos.2020.110120
OpenAlex
W3041463877
Cited by
357
References
4
FWCI
28.91
Type
journal article
Language
en
Open access
green
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Funders
Firat Üniversitesi

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.