2026 Cun-Hui Zhang: Mathematics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Mathematics	48	1180	1006	528	416	191	16184

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Mathematics

1180

1006

528

416

191

16184

Research.com Recognitions

2007 - Fellow of the American Statistical Association (ASA)

Overview

Cun-Hui Zhang is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily spans the field of Mathematics, with a focus on Statistics and Probability, Artificial Intelligence, Computational Mathematics, Computational Mechanics, and Applied Mathematics.

The main topics of Cun-Hui Zhang's work include:

Statistical Methods and Inference
Tensor decomposition and applications
Sparse and Compressive Sensing Techniques
Statistical Methods and Bayesian Inference
Advanced Statistical Methods and Models
Advanced Neuroimaging Techniques and Applications
Point processes and geometric inequalities

Frequent publication venues for their work are:

arXiv (Cornell University)
The Annals of Statistics
Journal of the American Statistical Association
SSRN Electronic Journal
IEEE Transactions on Information Theory

Recent papers published by Cun-Hui Zhang include:

"Factor Models for High-Dimensional Tensor Time Series," 2021, Journal of the American Statistical Association
"Statistically optimal and computationally efficient low rank tensor completion from noisy entries," 2021, The Annals of Statistics
"Beyond Gaussian approximation: Bootstrap for maxima of sums of independent random vectors," 2020, The Annals of Statistics
"On estimation of isotonic piecewise constant signals," 2020, The Annals of Statistics
"Debiasing convex regularized estimators and interval estimation in linear models," 2023, The Annals of Statistics

Frequent co-authors of Cun-Hui Zhang include:

Rong Chen
Yuefeng Han
Pierre Bellec
Dan Yang
Koulik Khamaru

Cun-Hui Zhang has been recognized as a Fellow of the American Statistical Association (ASA) since 2007.

Best Publications

Nearly unbiased variable selection under minimax concave penalty

Cun Hui Zhang

4233
Citations
Confidence intervals for low dimensional parameters in high dimensional linear models

Cun-Hui Zhang;Stephanie S. Zhang

1224
Citations
The sparsity and bias of the Lasso selection in high-dimensional linear regression

Cun Hui Zhang;Jian Huang

1069
Citations
Adaptive Lasso for sparse high-dimensional regression models

Jian Huang;Shuangge Ma;Cun Hui Zhang

706
Citations
Optimal rates of convergence for covariance matrix estimation

T. Tony Cai;Cun Hui Zhang;Harrison H. Zhou

625
Citations
Scaled sparse linear regression

Tingni Sun;Cun Hui Zhang

575
Citations
The multivariate L1-median and associated data depth

Yehuda Vardi;Cun Hui Zhang

566
Citations
A group bridge approach for variable selection

Jian Huang;Shuange Ma;Huiliang Xie;Cun Hui Zhang

403
Citations
A General Theory of Concave Regularization for High-Dimensional Sparse Estimation Problems

Cun-Hui Zhang;Tong Zhang

369
Citations
Fourier Methods for Estimating Mixing Densities and Distributions

Cun-Hui Zhang

322
Citations
On Tensor Completion via Nuclear Norm Minimization

Ming Yuan;Cun-Hui Zhang

278
Citations
Asymptotic normality and optimalities in estimation of large Gaussian graphical models

Zhao Ren;Tingni Sun;Cun-Hui Zhang;Harrison H. Zhou

275
Citations
General maximum likelihood empirical Bayes estimation of normal means

Wenhua Jiang;Cun-Hui Zhang

226
Citations
Correlated variables in regression: Clustering and sparse estimation

Peter Bühlmann;Philipp Rütimann;Sara van de Geer;Cun-Hui Zhang

226
Citations
Lasso adjustments of treatment effect estimates in randomized experiments

Adam Bloniarz;Hanzhong Liu;Cun-Hui Zhang;Jasjeet S. Sekhon

204
Citations
Sparse matrix inversion with scaled Lasso

Tingni Sun;Cun-Hui Zhang

181
Citations
Statistical Foundations of Data Science

Jianqing Fan;Runze Li;Cun-Hui Zhang;Hui Zou

180
Citations
Asymptotic Properties of Self-Consistent Estimators Based on Doubly Censored Data

M. G. Gu;C.-H. Zhang

177
Citations
The sparse Laplacian shrinkage estimator for high-dimensional regression

Jian Huang;Shuangge Ma;Hongzhe Li;Cun-Hui Zhang

159
Citations
High-dimensional simultaneous inference with the bootstrap

Ruben Dezeure;Peter Bühlmann;Cun Hui Zhang

146
Citations
Sure independence screening for ultrahigh dimensional feature space Discussion

P Bickel;P Buhlmann;QW Yao;R Samworth

0
Citations

Frequent Co-Authors

Jian Huang University of Iowa

Ping Li Baidu (China)

Tong Zhang University of Illinois at Urbana-Champaign

Herbert Robbins Rutgers, The State University of New Jersey

Ming Yuan Columbia University

David M. Goldenberg Immunomedics (United States)

Lawrence D. Brown Cornell University

Martin A. Lindquist Johns Hopkins University

Robert M. Sharkey University of Fukui

Gary H. Glover Stanford University

External Links

Personal website of Cun-Hui Zhang Google Scholar page

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