| Distance-weighted discrimination JS Marron, MJ Todd, J Ahn Journal of the American Statistical Association 102 (480), 1267-1271, 2007 | 393 | 2007 |
| Gene selection using support vector machines with non-convex penalty HH Zhang, J Ahn, X Lin, C Park bioinformatics 22 (1), 88-95, 2006 | 332 | 2006 |
| The high-dimension, low-sample-size geometric representation holds under mild conditions J Ahn, JS Marron, KM Muller, YY Chi Biometrika 94 (3), 760-766, 2007 | 186 | 2007 |
| Blood transfusion is an independent predictor of increased mortality in nonoperatively managed blunt hepatic and splenic injuries WP Robinson III, J Ahn, A Stiffler, EJ Rutherford, H Hurd, BL Zarzaur, ... Journal of Trauma and Acute Care Surgery 58 (3), 437-445, 2005 | 177 | 2005 |
| The maximal data piling direction for discrimination J Ahn, JS Marron Biometrika 97 (1), 254-259, 2010 | 107* | 2010 |
| Support vector machines with adaptive Lq penalty Y Liu, HH Zhang, C Park, J Ahn Computational Statistics & Data Analysis 51 (12), 6380-6394, 2007 | 106 | 2007 |
| Clustering multivariate functional data with phase variation J Park, J Ahn Biometrics 73 (1), 324-333, 2017 | 32 | 2017 |
| A resampling approach for interval‐valued data regression J Ahn, M Peng, C Park, Y Jeon Statistical Analysis and Data Mining: The ASA Data Science Journal 5 (4 …, 2012 | 32 | 2012 |
| Clustering high dimension, low sample size data using the maximal data piling distance J Ahn, MH Lee, YJ Yoon Statistica Sinica, 443-464, 2012 | 27 | 2012 |
| General sparse multi-class linear discriminant analysis SE Safo, J Ahn Computational Statistics & Data Analysis 99, 81-90, 2016 | 24 | 2016 |
| A multiscale analysis of the temporal characteristics of resting-state fMRI data C Park, NA Lazar, J Ahn, A Sornborger Journal of neuroscience methods 193 (2), 334-342, 2010 | 23 | 2010 |
| Sparse generalized eigenvalue problem with application to canonical correlation analysis for integrative analysis of methylation and gene expression data SE Safo, J Ahn, Y Jeon, S Jung Biometrics 74 (4), 1362-1371, 2018 | 20 | 2018 |
| Distance-based outlier detection for high dimension, low sample size data J Ahn, MH Lee, JA Lee Journal of Applied Statistics 46 (1), 13-29, 2019 | 18 | 2019 |
| A nonparametric kernel approach to interval-valued data analysis Y Jeon, J Ahn, C Park Technometrics 57 (4), 566-575, 2015 | 18 | 2015 |
| HDLSS discrimination with adaptive data piling MH Lee, J Ahn, Y Jeon Journal of Computational and Graphical Statistics 22 (2), 433-451, 2013 | 18 | 2013 |
| Covariance adjustment for batch effect in gene expression data JA Lee, KK Dobbin, J Ahn Statistics in medicine 33 (15), 2681-2695, 2014 | 16 | 2014 |
| On the number of principal components in high dimensions S Jung, MH Lee, J Ahn Biometrika 105 (2), 389-402, 2018 | 15 | 2018 |
| A stable hyperparameter selection for the Gaussian RBF kernel for discrimination J Ahn Statistical Analysis and Data Mining: The ASA Data Science Journal 3 (3 …, 2010 | 13 | 2010 |
| High dimension, low sample size data analysis J Ahn The University of North Carolina at Chapel Hill, 2006 | 12 | 2006 |
| Grouped variable screening for ultra-high dimensional data for linear model D Qiu, J Ahn Computational Statistics & Data Analysis 144, 106894, 2020 | 11 | 2020 |
