| On the adaptive elastic-net with a diverging number of parameters H Zou, HH Zhang Annals of statistics 37 (4), 1733, 2009 | 856 | 2009 |
| Component selection and smoothing in multivariate nonparametric regression Y Lin, HH Zhang | 698* | 2006 |
| Adaptive Lasso for Cox's proportional hazards model HH Zhang, W Lu Biometrika 94 (3), 691-703, 2007 | 673 | 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 |
| A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables H Liu, Y Tang, HH Zhang Computational Statistics & Data Analysis 53 (4), 853-856, 2009 | 284 | 2009 |
| Machine learning for big data analytics in plants C Ma, HH Zhang, X Wang Trends in plant science 19 (12), 798-808, 2014 | 245 | 2014 |
| Variable selection for optimal treatment decision W Lu, HH Zhang, D Zeng Statistical methods in medical research 22 (5), 493-504, 2013 | 179 | 2013 |
| Linear or nonlinear? Automatic structure discovery for partially linear models HH Zhang, G Cheng, Y Liu Journal of the American Statistical Association 106 (495), 1099-1112, 2011 | 157 | 2011 |
| Partially functional linear regression in high dimensions D Kong, K Xue, F Yao, HH Zhang Biometrika 103 (1), 147-159, 2016 | 145 | 2016 |
| Interaction screening for ultrahigh-dimensional data N Hao, HH Zhang Journal of the American Statistical Association 109 (507), 1285-1301, 2014 | 142 | 2014 |
| Hard or soft classification? large-margin unified machines Y Liu, HH Zhang, Y Wu Journal of the American Statistical Association 106 (493), 166-177, 2011 | 131 | 2011 |
| Surface estimation, variable selection, and the nonparametric oracle property CB Storlie, HD Bondell, BJ Reich, HH Zhang Statistica Sinica, 679-705, 2011 | 130 | 2011 |
| Refined families of dothideomycetes: Dothideomycetidae and pleosporomycetidae S Hongsanan, KD Hyde, R Phookamsak, DN Wanasinghe, ... | 122 | 2020 |
| Variable selection for the multicategory SVM via adaptive sup-norm regularization HH Zhang, Y Liu, Y Wu, J Zhu | 118 | 2008 |
| Variable selection and model building via likelihood basis pursuit HH Zhang, G Wahba, Y Lin, M Voelker, M Ferris, R Klein, B Klein Journal of the American Statistical Association 99 (467), 659-672, 2004 | 118 | 2004 |
| Weighted distance weighted discrimination and its asymptotic properties X Qiao, HH Zhang, Y Liu, MJ Todd, JS Marron Journal of the American Statistical Association 105 (489), 401-414, 2010 | 111 | 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 | 104 | 2007 |
| Model selection for high-dimensional quadratic regression via regularization N Hao, Y Feng, HH Zhang Journal of the American Statistical Association 113 (522), 615-625, 2018 | 96 | 2018 |
| Genome resequencing identifies unique adaptations of Tibetan chickens to hypoxia and high-dose ultraviolet radiation in high-altitude environments Q Zhang, W Gou, X Wang, Y Zhang, J Ma, H Zhang, Y Zhang, H Zhang Genome biology and evolution 8 (3), 765-776, 2016 | 80 | 2016 |
| Revealing the spatial variability of water fluxes at the groundwater‐surface water interface A Binley, S Ullah, AL Heathwaite, C Heppell, P Byrne, K Lansdown, ... Water Resources Research 49 (7), 3978-3992, 2013 | 76 | 2013 |
