Multiple predictingK-fold cross-validation for model selection

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Jung, Yoonsuh. “Multiple PredictingK-Fold Cross-Validation for Model Selection”. Journal of Nonparametric Statistics, vol. 30, no. 1, 2017, pp. 197-15, https://doi.org/10.1080/10485252.2017.1404598.
Jung, Y. (2017). Multiple predictingK-fold cross-validation for model selection. Journal of Nonparametric Statistics, 30(1), 197-215. https://doi.org/10.1080/10485252.2017.1404598
Jung Y. Multiple predictingK-fold cross-validation for model selection. Journal of Nonparametric Statistics. 2017;30(1):197-215.
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The first research to cite this article was titled Modeling of flow boiling heat transfer coefficient of R11 in mini-channels using support vector machines and its comparative analysis with the existing correlations and was published in 2018. The most recent citation comes from a 2024 study titled Modeling of flow boiling heat transfer coefficient of R11 in mini-channels using support vector machines and its comparative analysis with the existing correlations . This article reached its peak citation in 2022 , with 58 citations.It has been cited in 166 different journals, 25% of which are open access. Among related journals, the Sensors cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
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