| Do group audiologic rehabilitation activities influence psychosocial outcomes? JE Preminger, JK Yoo American Speech-Language-Hearing Association Rockville, MD, 2010 | 80 | 2010 |
| Modeling microRNA-mRNA interactions using PLS regression in human colon cancer X Li, R Gill, NGF Cooper, JK Yoo, S Datta BMC medical genomics 4, 1-15, 2011 | 77 | 2011 |
| Optimal sufficient dimension reduction for the conditional mean in multivariate regression JK Yoo, RD Cook Biometrika 94 (1), 231-242, 2007 | 33 | 2007 |
| Syntactic complexity as a linguistic marker to differentiate mild cognitive impairment from normal aging JE Sung, S Choi, B Eom, JK Yoo, JH Jeong Journal of Speech, Language, and Hearing Research 63 (5), 1416-1429, 2020 | 32 | 2020 |
| Modeling the random effects covariance matrix for generalized linear mixed models K Lee, JB Lee, J Hagan, JK Yoo Computational Statistics & Data Analysis 56 (6), 1545-1551, 2012 | 28 | 2012 |
| Marginalized random effects models for multivariate longitudinal binary data K Lee, Y Joo, JK Yoo, JB Lee Statistics in Medicine 28 (8), 1284-1300, 2009 | 27 | 2009 |
| Effects of age, working memory, and word order on passive-sentence comprehension: evidence from a verb-final language JE Sung, JK Yoo, SE Lee, B Eom International Psychogeriatrics 29 (6), 939-948, 2017 | 26 | 2017 |
| Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models K Lee, JK Yoo Computational Statistics & Data Analysis 80, 111-116, 2014 | 21 | 2014 |
| Machine learning approach for study on subway passenger flow Y Park, Y Choi, K Kim, JK Yoo Scientific Reports 12 (1), 2754, 2022 | 18 | 2022 |
| On the extension of sliced average variance estimation to multivariate regression JK Yoo, K Lee, S Wu Statistical Methods & Applications 19, 529-540, 2010 | 17 | 2010 |
| A novel moment-based sufficient dimension reduction approach in multivariate regression JK Yoo Computational statistics & data analysis 52 (7), 3843-3851, 2008 | 12 | 2008 |
| On hierarchical clustering in sufficient dimension reduction C Yoo, Y Yoo, HY Um, JK Yoo Communications for Statistical Applications and Methods 27 (4), 431-443, 2020 | 11 | 2020 |
| Response dimension reduction for the conditional mean in multivariate regression JK Yoo, RD Cook Computational statistics & data analysis 53 (2), 334-343, 2008 | 11 | 2008 |
| Tutorial: Dimension reduction in regression with a notion of sufficiency JK Yoo Communications for Statistical Applications and Methods 23 (2), 93-103, 2016 | 10 | 2016 |
| Tutorial: Methodologies for sufficient dimension reduction in regression JK Yoo Communications for Statistical Applications and Methods 23 (2), 105-117, 2016 | 10 | 2016 |
| Canonical correlation analysis through linear modeling K Lee, JK Yoo Australian & New Zealand Journal of Statistics 56 (1), 59-72, 2014 | 8 | 2014 |
| Advances in seeded dimension reduction: Bootstrap criteria and extensions JK Yoo Computational statistics & data analysis 60, 70-79, 2013 | 8 | 2013 |
| Iterative optimal sufficient dimension reduction for conditional mean in multivariate regression JK Yoo Journal of Data Science 7 (2), 267-276, 2009 | 8 | 2009 |
| Partial moment-based sufficient dimension reduction JK Yoo Statistics & probability letters 79 (4), 450-456, 2009 | 8 | 2009 |
| Partial least squares fusing unsupervised learning JK Yoo Chemometrics and Intelligent Laboratory Systems 175, 82-86, 2018 | 7 | 2018 |
