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Cited by in F6Publishing

For:	Flora J, Khan W, Jin J, Jin D, Hussain A, Dajani K, Khan B. Usefulness of Vaccine Adverse Event Reporting System for Machine-Learning Based Vaccine Research: A Case Study for COVID-19 Vaccines. Int J Mol Sci 2022;23:8235. [PMID: 35897804 DOI: 10.3390/ijms23158235] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]

For:

Flora J, Khan W, Jin J, Jin D, Hussain A, Dajani K, Khan B. Usefulness of Vaccine Adverse Event Reporting System for Machine-Learning Based Vaccine Research: A Case Study for COVID-19 Vaccines. Int J Mol Sci 2022;23:8235. [PMID: 35897804 DOI: 10.3390/ijms23158235] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]

Number	Citing Articles
1	Sinisterra-sierra S, Godoy-calderón S, Pescador-rojas M. COVID-19 Data Analysis with a Multi-Objective Evolutionary Algorithm for Causal Association Rule Mining. MCA 2023;28:12. [DOI: 10.3390/mca28010012] [Reference Citation Analysis]
2	Berg SK, Wallach-kildemoes H, Rasmussen LR, Nygaard U, Bundgaard H, Petersen MNS, Hammer CB, Ersbøll AK, Thygesen LC, Nielsen SD, Christensen AV. Short- and Long-Term Self-Reported Symptoms in Adolescents Aged 12–19 Years after Vaccination against SARS-CoV-2 Compared to Adolescents Not Vaccinated—A Danish Retrospective Cohort Study. Vaccines 2022;10:1863. [DOI: 10.3390/vaccines10111863] [Reference Citation Analysis]