World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
42
Citations
8827
World Ranking
1769
National Ranking
100

Lixing Zhu 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 Lixing Zhu 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: 83 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: 279 publications — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Lixing Zhu 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 Lixing Zhu 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: 138 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: 42 D-Index — 51st percentile

51% 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

  • 2016 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2007 - Fellow of the American Statistical Association (ASA)

Overview

Lixing Zhu is affiliated with Beijing Normal University in China and has contributed extensively to the field of mathematics, with a focus on statistics and probability. Their research interests encompass several intersecting areas including advanced causal inference techniques, statistical methods and inference, and Bayesian methods. Zhu's work spans a range of topics such as random matrices and topic modeling, reflecting a broad engagement with both theoretical and applied aspects of statistical science.

The scientist's publications include papers in notable venues such as the Journal of the American Statistical Association, Statistica Sinica, and Computational Statistics & Data Analysis, as well as preprints on arXiv. Among recent papers are the following:

  • "Dimensionality determination: A thresholding double ridge ratio approach" (2020), published in Computational Statistics & Data Analysis
  • "Total-effect test is superfluous for establishing complementary mediation" (2021), published in Statistica Sinica
  • "Pairwise distance-based heteroscedasticity test for regressions" (2020), published in Science China Mathematics
  • "Rank-Based Greedy Model Averaging for High-Dimensional Survival Data" (2022), published in Journal of the American Statistical Association
  • "Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection" (2021), published on arXiv (Cornell University)

Zhu frequently collaborates with a cohort of researchers, including Xuehu Zhu, Niwen Zhou, Xu Guo, Yulan He, and Keli Guo. These collaborations have yielded multiple joint publications, indicating sustained research partnerships.

Major publication venues for Zhu include:

  • arXiv (Cornell University)
  • Computational Statistics & Data Analysis
  • Statistica Sinica
  • Journal of the American Statistical Association
  • Annals of the Institute of Statistical Mathematics

The main fields of study consist primarily of Mathematics, with a particular emphasis on:

  • Statistics and Probability
  • Artificial Intelligence
  • Statistics, Probability and Uncertainty
  • Mathematical Physics
  • Computer Vision and Pattern Recognition

Their research topics include:

  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Advanced Causal Inference Techniques
  • Advanced Statistical Methods and Models
  • Random Matrices and Applications
  • Topic Modeling
  • Bayesian Methods and Mixture Models

Recognition for this scientist includes fellowships in prominent scientific organizations. Zhu was named a Fellow of the American Statistical Association in 2007 and a Fellow of the American Association for the Advancement of Science in 2016.

Best Publications

  • An adaptive estimation of dimension reduction space

    Yingcun Xia;Yingcun Xia;Howell Tong;Howell Tong;Wai Keung Li;Li-Xing Zhu;Li-Xing Zhu

  • Model-Free Feature Screening for Ultrahigh-Dimensional Data

    Li Ping Zhu;Lexin Li;Runze Li;Li Xing Zhu

  • Robust rank correlation based screening

    Gaorong Li;Heng Peng;Jun Zhang;Lixing Zhu

  • Asymptotics for kernel estimate of sliced inverse regression

    Lixing Zhu;Kai Tai Fang

  • On sliced inverse regression with high-dimensional covariates

    Lixing Zhu;Baiqi Miao;Heng Peng

  • Empirical likelihood confidence regions in a partially linear single-index model

    Lixing Zhu;Liugen Xue

  • Model checks for regression: an innovation process approach

    Winfried Stute;Silke Thies;Li-Xing Zhu

  • Empirical Likelihood for a Varying Coefficient Model With Longitudinal Data

    Liugen Xue;Lixing Zhu

  • Estimation for a partial-linear single-index model

    Jane Ling Wang;Liugen Xue;Lixing Zhu;Yun Sam Chong

  • Asymptotics of sliced inverse regression

    L Zhu;KW Ng

  • The EFM approach for single-index models

    Xia Cui;Wolfgang Karl Härdle;Lixing Zhu

  • Nonparametric checks for single-index models

    Winfried Stute;Li-Xing Zhu

  • A Lack-of-Fit Test for Quantile Regression

    Xuming He;Li Xing Zhu;Li Xing Zhu

  • Dimension reduction in regressions through cumulative slicing estimation

    Li Ping Zhu;Lixing Zhu;Zheng Hui Feng

  • Empirical Likelihood Semiparametric Regression Analysis for Longitudinal Data

    Liugen Xue;Lixing Zhu

  • Model Checks for Generalized Linear Models

    Winfried Stute;Li-Xing Zhu

  • Sufficient dimension reduction through discretization-expectation estimation

    Liping Zhu;Tao Wang;Lixing Zhu;Louis Ferré

  • Empirical likelihood for single-index models

    Liu-Gen Xue;Lixing Zhu

  • NONCONCAVE PENALIZED M-ESTIMATION WITH A DIVERGING NUMBER OF PARAMETERS

    Gaorong Li;Heng Peng;Lixing Zhu

  • On a Projective Resampling Method for Dimension Reduction With Multivariate Responses

    Bing Li;Songqiao Wen;Lixing Zhu

  • Asymptotics for sliced average variance estimation

    Yingxing Li;Li-Xing Zhu

Frequent Co-Authors

Wing-Keung Wong
Wing-Keung Wong Asian University
Winfried Stute
Winfried Stute University of Giessen
Michael McAleer
Michael McAleer Erasmus University Rotterdam
Hua Liang
Hua Liang George Washington University
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Lexin Li
Lexin Li University of California, Berkeley
Kai-Tai Fang
Kai-Tai Fang Beijing Normal University
Changliang Zou
Changliang Zou Nankai University
Howell Tong
Howell Tong London School of Economics and Political Science
Hongyu Zhao
Hongyu Zhao Yale University

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