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For: Qasim M, Ahmad W, Yoshida M, Gould M, Yasir M. Analysis of the Worldwide Corona Virus (COVID-19) Pandemic Trend; A Modelling Study to Predict Its Spread.. [DOI: 10.1101/2020.03.30.20048215] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.7] [Reference Citation Analysis]
Number Citing Articles
1 Bhuju G, Phaijoo GR, Gurung DB. Fuzzy Model of Transmission Dynamics of COVID-19 in Nepal. Advances in Intelligent Systems and Computing 2022. [DOI: 10.1007/978-981-16-5952-2_37] [Reference Citation Analysis]
2 Kazi N, Parasar D, Jadhav Y. Predictive Risk Analysis by Using Machine Learning During COVID-19. Medical Virology: From Pathogenesis to Disease Control 2021. [DOI: 10.1007/978-981-15-7317-0_15] [Reference Citation Analysis]
3 Qasim M, Yasir M, Ahmad W, Yoshida M, Azhar M, Ali MA, Wang C, Gould M. Early epidemiological and clinical manifestations of COVID-19 in Japan.. [DOI: 10.1101/2020.04.17.20070276] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
4 Qasim M, Ahmad W, Zhang S, Yasir M, Azhar M. Data model to predict prevalence of COVID-19 in Pakistan.. [DOI: 10.1101/2020.04.06.20055244] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
5 Shah V, Shelke A, Parab M, Shah J, Mehendale N. A Statistical and Deep Learning-Based Daily Infected Count Prediction System for the Coronavirus Pandemic. SSRN Journal. [DOI: 10.2139/ssrn.3613430] [Reference Citation Analysis]