| Supplement to "Matrix variate regressions and envelope models" S Ding, RD Cook Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017 | 81* | 2017 |
| Dimension folding PCA and PFC for matrix-valued predictors S Ding, RD Cook Statistica Sinica 24 (1), 463-492, 2014 | 56 | 2014 |
| Tensor sliced inverse regression S Ding, RD Cook Journal of Multivariate Analysis 133, 216-231, 2015 | 40 | 2015 |
| Vortices as Brownian particles in turbulent flows KL Chong, JQ Shi, GY Ding, SS Ding, HY Lu, JQ Zhong, KQ Xia Science advances 6 (34), eaaz1110, 2020 | 34 | 2020 |
| Sparse minimum discrepancy approach to sufficient dimension reduction with simultaneous variable selection in ultrahigh dimension W Qian, S Ding, RD Cook Journal of the American Statistical Association, 1-48, 2018 | 30 | 2018 |
| Envelope Quantile Regression S Ding, Z Su, G Zhu, L Wang Statistica Sinica, http://www3.stat.sinica.edu.tw/ss_newpap, 2019 | 28* | 2019 |
| Fine vortex structure and flow transition to the geostrophic regime in rotating Rayleigh-Bénard convection JQ Shi, HY Lu, SS Ding, JQ Zhong Physical Review Fluids 5 (1), 011501, 2020 | 17 | 2020 |
| Inverse centrifugal effect induced by collective motion of vortices in rotating thermal convection SS Ding, KL Chong, JQ Shi, GY Ding, HY Lu, KQ Xia, JQ Zhong Nature Communications 12 (1), 5585, 2021 | 12 | 2021 |
| Higher‐order sliced inverse regressions S Ding, RD Cook Wiley Interdisciplinary Reviews: Computational Statistics 7 (4), 249-257, 2015 | 12 | 2015 |
| Vector autoregression and envelope model L Wang, S Ding Stat, https://doi.org/10.1002/sta4.203, 2018 | 11 | 2018 |
| Characterizing heterogeneous behavior of non-point-source polluters in a spatial game under alternate sensing and incentive designs A Zia, S Ding, KD Messer, H Miao, JF Suter, JR Fooks, T Guilfoos, ... Journal of Water Resources Planning and Management 146 (8), 04020054, 2020 | 10 | 2020 |
| Temperature fluctuations relevant to thermal-plume dynamics in turbulent rotating Rayleigh-Bénard convection SS Ding, HM Li, WD Yan, JQ Zhong Physical Review Fluids 4 (2), 023501, 2019 | 10 | 2019 |
| Efficient estimation in expectile regression using envelope models T Chen, Z Su, Y Yang, S Ding | 8 | 2020 |
| Double-Slicing Assisted Sufficient Dimension Reduction for High Dimensional Censored Data S Ding, W Qian, L Wang Annals of Statistics 48 (4), 2132-2154, 2020 | 7 | 2020 |
| Sliced inverse regression for integrative multi-omics data analysis Y Jain, S Ding, J Qiu Statistical Applications in Genetics and Molecular Biology, 2018 | 6 | 2018 |
| Comparison of Statistical Learning and Predictive Models on Breast Cancer Data and King County Housing Data Y Cai, Z Fu, Y Zhao, Y Hu, S Ding APEC Research Reports, University of Delaware, 1-34, 2017 | 4 | 2017 |
| Envelopes for censored quantile regression Y Zhao, I Van Keilegom, S Ding Scandinavian Journal of Statistics 49 (4), 1562-1585, 2022 | 3 | 2022 |
| Vortex dynamics in rotating Rayleigh–Bénard convection SS Ding, GY Ding, KL Chong, WT Wu, KQ Xia, JQ Zhong Journal of Fluid Mechanics 974, A43, 2023 | 2 | 2023 |
| Sufficient dimension reduction for complex data structures S Ding | 2 | 2014 |
| Neutrally-and stably-stratified boundary layers adjustments to a step change in surface roughness SS Ding, M Placidi, M Carpentieri, A Robins Experiments in Fluids 64 (4), 86, 2023 | 1 | 2023 |
