| Outlier detection with the kernelized spatial depth function Y Chen, X Dang, H Peng, HL Bart IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2), 288-305, 2008 | 165 | 2008 |
| The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory Z Xiao, X Yang, Y Pang, X Dang Knowledge-Based Systems 26, 196-206, 2012 | 143 | 2012 |
| Financial ratio selection for business failure prediction using soft set theory W Xu, Z Xiao, X Dang, D Yang, X Yang Knowledge-Based Systems 63, 59-67, 2014 | 122 | 2014 |
| Nonparametric depth-based multivariate outlier identifiers, and masking robustness properties X Dang, R Serfling Journal of Statistical Planning and Inference 140 (1), 198-213, 2010 | 91 | 2010 |
| Theil-sen estimators in a multiple linear regression model X Dang, H Peng, X Wang, H Zhang Olemiss Edu 2, 1-30, 2008 | 83 | 2008 |
| Learning accurate and interpretable models based on regularized random forests regression S Liu, S Dissanayake, S Patel, X Dang, T Mlsna, Y Chen, D Wilkins BMC systems biology 8, 1-9, 2014 | 37 | 2014 |
| Robust clustering in high dimensional data using statistical depths Y Ding, X Dang, H Peng, D Wilkins BMC bioinformatics 8, 1-16, 2007 | 24 | 2007 |
| Jackknife empirical likelihood methods for Gini correlations and their equality testing Y Sang, X Dang, Y Zhao Journal of Statistical Planning and Inference 199, 45-59, 2019 | 20 | 2019 |
| Robust model-based learning via spatial-em algorithm K Yu, X Dang, H Bart, Y Chen IEEE Transactions on Knowledge and Data Engineering 27 (6), 1670-1682, 2014 | 20 | 2014 |
| Estimating feature-label dependence using Gini distance statistics S Zhang, X Dang, D Nguyen, D Wilkins, Y Chen IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (6), 1947-1963, 2019 | 19 | 2019 |
| Symmetric Gini covariance and correlation Y Sang, X Dang, H Sang Canadian Journal of Statistics 44 (3), 323-342, 2016 | 19 | 2016 |
| Graph ranking for exploratory gene data analysis C Gao, X Dang, Y Chen, D Wilkins BMC bioinformatics 10, 1-14, 2009 | 17 | 2009 |
| Influence functions of some depth functions, and application to depth-weighted L-statistics X Dang, R Serfling, W Zhou Journal of Nonparametric Statistics 21 (1), 49-66, 2009 | 17 | 2009 |
| Unadjusted Langevin algorithm for non-convex weakly smooth potentials D Nguyen, X Dang, Y Chen Communications in Mathematics and Statistics, 1-58, 2023 | 15 | 2023 |
| On mutual information estimation for mixed-pair random variables A Beknazaryan, X Dang, H Sang Statistics & Probability Letters 148, 9-16, 2019 | 15 | 2019 |
| Robust and efficient boosting method using the conditional risk Z Xiao, Z Luo, B Zhong, X Dang IEEE transactions on neural networks and learning systems 29 (7), 3069-3083, 2017 | 15 | 2017 |
| A new Gini correlation between quantitative and qualitative variables X Dang, D Nguyen, Y Chen, J Zhang Scandinavian Journal of Statistics 48 (4), 1314-1343, 2021 | 13 | 2021 |
| A rank-based Cramér–von-Mises-type test for two samples J Curry, X Dang, H Sang Brazilian Journal of Probability and Statistics 33 (3), 425-454, 2019 | 12 | 2019 |
| A numerical study of multiple imputation methods using nonparametric multivariate outlier identifiers and depth-based performance criteria with clinical laboratory data X Dang, R Serfling Journal of Statistical Computation and Simulation 81 (5), 547-560, 2011 | 12 | 2011 |
| A unified approach for analyzing exchangeable binary data with applications to developmental toxicity studies X Dang, SL Keeton, H Peng Statistics in medicine 28 (20), 2580-2604, 2009 | 12 | 2009 |