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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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Research works printed but not linked: 37

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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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CoChat. (2026). Citation check: Comparison of deep learning approaches to predict COVID-19 infection. https://app.cochat.ai/papers/10.1016/j.chaos.2020.110120
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Alakus, T. B., & Turkoglu, I. (2020). Comparison of deep learning approaches to predict COVID-19 infection. Chaos, Solitons & Fractals. https://doi.org/10.1016/j.chaos.2020.110120

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