World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
45
Citations
48922
World Ranking
1406
National Ranking
618

Engineering and Technology

D-Index
43
Citations
48521
World Ranking
5970
National Ranking
1649

Hui Zou publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Hui Zou sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 82 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 122 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Hui Zou D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Hui Zou sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 137 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 45 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2019 - Fellow of the American Statistical Association (ASA)

Overview

Hui Zou is affiliated with the University of Minnesota in the United States and has contributed extensively to research spanning computer science and mathematics. Their work includes publications primarily focused on statistics, machine learning, and related computational methods.

Their recent papers include the following:

  • Sparse Composite Quantile Regression in Ultrahigh Dimensions With Tuning Parameter Calibration (2020), published in IEEE Transactions on Information Theory
  • Unsupervised adversarial domain adaptation based on interpolation image for fish detection in aquaculture (2022), published in Computers and Electronics in Agriculture
  • Robust supervised multi-view feature selection with weighted shared loss and maximum margin criterion (2021), published in Knowledge-Based Systems
  • An Alternating Manifold Proximal Gradient Method for Sparse Principal Component Analysis and Sparse Canonical Correlation Analysis (2020), published in INFORMS Journal on Optimization
  • Retargeted multi-view classification via structured sparse learning (2022), published in Signal Processing

Frequent co-authors collaborating with Hui Zou include:

  • Ping Zhong
  • Le Zhou
  • Boxiang Wang
  • Yuwen Gu
  • Zhencai Shen

The venues where Hui Zou has published most often are:

  • arXiv (Cornell University)
  • Journal of the American Statistical Association
  • Statistica Sinica
  • IEEE Transactions on Information Theory
  • Stat

Their main fields of study include:

  • Computer Science
  • Mathematics

Within these, the subfields Hui Zou has worked in are:

  • Statistics and Probability
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Molecular Biology

The primary topics covered in their work are:

  • Statistical Methods and Inference
  • Face and Expression Recognition
  • Sparse and Compressive Sensing Techniques
  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • Bayesian Methods and Mixture Models
  • Machine Learning and ELM

Hui Zou has received recognition as a Fellow of the American Statistical Association (ASA) in 2019.

Best Publications

  • Regularization and variable selection via the elastic net

    Hui Zou;Trevor Hastie

  • The adaptive lasso and its oracle properties

    Hui Zou

  • Sparse Principal Component Analysis

    Hui Zou;Trevor Hastie;Robert Tibshirani

  • Multi-class AdaBoost ∗

    Trevor Hastie;Saharon Rosset;Ji Zhu;Hui Zou

  • One-step Sparse Estimates in Nonconcave Penalized Likelihood Models.

    Hui Zou;Runze Li

  • On the “degrees of freedom” of the lasso

    Hui Zou;Trevor Hastie;Robert Tibshirani

  • On the adaptive elastic-net with a diverging number of parameters

    Hui Zou;Hao Helen Zhang

  • Addendum: Regularization and variable selection via the elastic net

    Hui Zou;Trevor Hastie

  • Composite quantile regression and the oracle model selection theory

    Y. Hui Zou;Ming Yuan

  • Regularized rank-based estimation of high-dimensional nonparanormal graphical models

    Lingzhou Xue;Hui Zou

  • NEW EFFICIENT ESTIMATION AND VARIABLE SELECTION METHODS FOR SEMIPARAMETRIC VARYING-COEFFICIENT PARTIALLY LINEAR MODELS

    Bo Kai;Runze Li;Hui Zou

  • Combining time series models for forecasting

    Hui Zou;Yuhong Yang

  • Strong oracle optimality of folded concave penalized estimation

    Jianqing Fan;Lingzhou Xue;Hui Zou

  • The doubly regularized support vector machine

    Li Wang;Ji Zhu;Hui Zou

  • A fast unified algorithm for solving group-lasso penalize learning problems

    Yi Yang;Hui Zou

  • Local composite quantile regression smoothing: an efficient and safe alternative to local polynomial regression

    Bo Kai;Runze Li;Hui Zou

  • Hybrid huberized support vector machines for microarray classification and gene selection

    Li Wang;Ji Zhu;Hui Zou

  • A direct approach to sparse discriminant analysis in ultra-high dimensions

    Qing Mai;Hui Zou;Ming Yuan

  • Positive-Definite ℓ1-Penalized Estimation of Large Covariance Matrices

    Lingzhou Xue;Shiqian Ma;Hui Zou

  • Statistical Foundations of Data Science

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

  • Sparse precision matrix estimation via lasso penalized D-trace loss

    Teng Zhang;Hui Zou

Frequent Co-Authors

Trevor Hastie
Trevor Hastie Stanford University
Shiqian Ma
Shiqian Ma Rice University
Ming Yuan
Ming Yuan Columbia University
Runze Li
Runze Li Pennsylvania State University
Hao Helen Zhang
Hao Helen Zhang University of Arizona
Jianqing Fan
Jianqing Fan Princeton University
Han Liu
Han Liu Northwestern University
Robert Tibshirani
Robert Tibshirani Stanford University
Saharon Rosset
Saharon Rosset Tel Aviv University
Sudipto Banerjee
Sudipto Banerjee University of California, Los Angeles

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