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Cited by in F6Publishing
For: Haghani M, Varamini P. Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature. Scientometrics 2021;:1-46. [PMID: 34188334 DOI: 10.1007/s11192-021-04036-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Haghani M, Kuligowski E, Rajabifard A, Kolden CA. The state of wildfire and bushfire science: Temporal trends, research divisions and knowledge gaps. Safety Science 2022;153:105797. [DOI: 10.1016/j.ssci.2022.105797] [Reference Citation Analysis]
2 Santos BS, Silva I, Lima L, Endo PT, Alves G, Ribeiro-dantas MDC. Discovering temporal scientometric knowledge in COVID-19 scholarly production. Scientometrics. [DOI: 10.1007/s11192-021-04260-y] [Reference Citation Analysis]
3 Rodríguez-Rodríguez I, Rodríguez JV, Shirvanizadeh N, Ortiz A, Pardo-Quiles DJ. Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining. Int J Environ Res Public Health 2021;18:8578. [PMID: 34444327 DOI: 10.3390/ijerph18168578] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]