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Cited by 418

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Chest Imaging Appearance of COVID-19 Infection

Open access
Kong, Weifang, Agarwal, Prachi P.·2020·Radiology: Cardiothoracic Imaging

Abstract

Coronavirus disease 2019 (COVID-19) (previously known as novel coronavirus [2019-nCoV]), first reported in China, has now been declared a global health emergency by the World Health Organization. As confirmed cases are being reported in several countries from all over the world, it becomes important for all radiologists to be aware of the imaging spectrum of the disease and contribute to effective surveillance and response measures. © RSNA, 2020 See editorial by Kay and Abbara in this issue.

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Metadata

Authors
Kong, W., & Agarwal, P. P.
Venue
Radiology: Cardiothoracic Imaging
Published
2020-02-01
Volume
2
Issue
1
Pages
e200028
ISSN
2638-6135 (ISSN-L)
OpenAlex
W3006627382
Cited by
418
References
2
FWCI
11.65
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Chest Imaging Appearance of COVID-19 Infection. https://app.cochat.ai/papers/10.1148/ryct.2020200028
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Kong, W., & Agarwal, P. P. (2020). Chest Imaging Appearance of COVID-19 Infection. Radiology: Cardiothoracic Imaging. https://doi.org/10.1148/ryct.2020200028

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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.