APA (7th ed.) Citation

Fahimifar, S., Mousavi, K., Mozaffari, F., & Ausloos, M. (2023). Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods: Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods. Quality & Quantity, 57(4), 3685. https://doi.org/10.1007/s11135-022-01480-z

Chicago Style (17th ed.) Citation

Fahimifar, Sepideh, Khadijeh Mousavi, Fatemeh Mozaffari, and Marcel Ausloos. "Identification of the Most Important External Features of Highly Cited Scholarly Papers Through 3 (i.e., Ridge, Lasso, and Boruta) Feature Selection Data Mining Methods: Identification of the Most Important External Features of Highly Cited Scholarly Papers Through 3 (i.e., Ridge, Lasso, and Boruta) Feature Selection Data Mining Methods." Quality & Quantity 57, no. 4 (2023): 3685. https://doi.org/10.1007/s11135-022-01480-z.

MLA (9th ed.) Citation

Fahimifar, Sepideh, et al. "Identification of the Most Important External Features of Highly Cited Scholarly Papers Through 3 (i.e., Ridge, Lasso, and Boruta) Feature Selection Data Mining Methods: Identification of the Most Important External Features of Highly Cited Scholarly Papers Through 3 (i.e., Ridge, Lasso, and Boruta) Feature Selection Data Mining Methods." Quality & Quantity, vol. 57, no. 4, 2023, p. 3685, https://doi.org/10.1007/s11135-022-01480-z.