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Cited by in F6Publishing

For:	Zhang B, Ni-Jia-Ti MY, Yan R, An N, Chen L, Liu S, Chen L, Chen Q, Li M, Chen Z, You J, Dong Y, Xiong Z, Zhang S. CT-based radiomics for predicting the rapid progression of coronavirus disease 2019 (COVID-19) pneumonia lesions. Br J Radiol 2021;94:20201007. [PMID: 33881930 DOI: 10.1259/bjr.20201007] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]

For:

Zhang B, Ni-Jia-Ti MY, Yan R, An N, Chen L, Liu S, Chen L, Chen Q, Li M, Chen Z, You J, Dong Y, Xiong Z, Zhang S. CT-based radiomics for predicting the rapid progression of coronavirus disease 2019 (COVID-19) pneumonia lesions. Br J Radiol 2021;94:20201007. [PMID: 33881930 DOI: 10.1259/bjr.20201007] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]

Number	Citing Articles
1	Pang B, Li H, Liu Q, Wu P, Xia T, Zhang X, Le W, Li J, Lai L, Ou C, Ma J, Liu S, Zhou F, Wang X, Xie J, Zhang Q, Jiang M, Liu Y, Zeng Q. CT Quantification of COVID-19 Pneumonia at Admission Can Predict Progression to Critical Illness: A Retrospective Multicenter Cohort Study. Front Med (Lausanne) 2021;8:689568. [PMID: 34222293 DOI: 10.3389/fmed.2021.689568] [Reference Citation Analysis]
2	Gillman AG, Lunardo F, Prinable J, Belous G, Nicolson A, Min H, Terhorst A, Dowling JA. Automated COVID-19 diagnosis and prognosis with medical imaging and who is publishing: a systematic review. Phys Eng Sci Med 2021. [PMID: 34919204 DOI: 10.1007/s13246-021-01093-0] [Reference Citation Analysis]