World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
50
Citations
15061
World Ranking
1057
National Ranking
50

Zhidong Bai 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 Zhidong Bai 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: 244 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Zhidong Bai 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 Zhidong Bai 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: 50 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Zhidong Bai is affiliated with Northeast Normal University in China and has made significant contributions primarily in the field of Mathematics. Their research spans multiple subfields including Statistics and Probability, Mathematical Physics, Discrete Mathematics and Combinatorics, Artificial Intelligence, and Molecular Biology.

The main topics of Bai's research include:

  • Random Matrices and Applications
  • Advanced Combinatorial Mathematics
  • Bayesian Methods and Mixture Models
  • Advanced Algebra and Geometry
  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Stochastic processes and statistical mechanics

Bai has a substantial publication record with frequent appearances in several academic venues. These include:

  • arXiv (Cornell University)
  • Bernoulli
  • Random Matrices Theory and Application
  • Journal of Theoretical Probability
  • Statistics & Probability Letters

Some recent papers authored by or associated with Bai's research group are:

  • "RIS-Enhanced Spectrum Sensing: How Many Reflecting Elements are Required to Achieve a Detection Probability Close to 1?", 2022, IEEE Transactions on Wireless Communications
  • "Modified Pillai's trace statistics for two high-dimensional sample covariance matrices", 2020, Journal of Statistical Planning and Inference
  • "Generalized four moment theorem and an application to CLT for spiked eigenvalues of high-dimensional covariance matrices", 2020, Bernoulli
  • "DiffDomain enables identification of structurally reorganized topologically associating domains", 2024, Nature Communications
  • "Spectrally-Corrected Estimation for High-Dimensional Markowitz Mean-Variance Optimization", 2021, Econometrics and Statistics

Bai has collaborated frequently with several co-authors, including:

  • Jiang Hu
  • Huanchao Zhou
  • Jack W. Silverstein
  • Wenya Luo

Best Publications

  • Spectral Analysis of Large Dimensional Random Matrices

    Zhidong Bai;Jack W. Silverstein

  • CLT for linear spectral statistics of large-dimensional sample covariance matrices

    Z. D. Bai;Jack W. Silverstein

  • METHODOLOGIES IN SPECTRAL ANALYSIS OF LARGE DIMENSIONAL RANDOM MATRICES, A REVIEW

    Z. D. Bai

  • On the empirical distribution of eigenvalues of a class of large dimensional random matrices

    Jack W. Silverstein;Z. D. Bai

  • Limit of the smallest eigenvalue of a large dimensional sample covariance matrix

    Z. D. Bai;Y. Q. Yin

  • No eigenvalues outside the support of the limiting spectral distribution of large-dimensional sample covariance matrices

    Z. D. Bai;Jack W. Silverstein

  • On the limit of the largest eigenvalue of the large dimensional sample covariance matrix

    Y. Q. Yin;Z. D. Bai;P. R. Krishnaiah

  • On detection of the number of signals in presence of white noise

    L C Zhao;P R Krishnaiah;Z D Bai

  • Ranked set sampling

    Zehua Chen;Zhidong Bai;Bimal K. Sinha

  • Corrections to LRT on large-dimensional covariance matrix by RMT

    Zhidong Bai;Dandan Jiang;Jian-Feng Yao;Shurong Zheng

  • Central limit theorems for eigenvalues in a spiked population model

    Zhidong Bai;Jian-feng Yao

  • Large Sample Covariance Matrices and High-Dimensional Data Analysis

    Jianfeng Yao;Shurong Zheng;Zhidong Bai

  • Convergence Rate of Expected Spectral Distributions of Large Random Matrices. Part I. Wigner Matrices

    Z. D. Bai

  • ENHANCEMENT OF THE APPLICABILITY OF MARKOWITZ'S PORTFOLIO OPTIMIZATION BY UTILIZING RANDOM MATRIX THEORY

    Zhidong Bai;Huixia Liu;Wing Keung Wong

  • A note on the largest eigenvalue of a large dimensional sample covariance matrix

    Z. D. Bai;Jack W. Silverstein;Y. Q. Yin

  • LARGE SAMPLE COVARIANCE MATRICES WITHOUT INDEPENDENCE STRUCTURES IN COLUMNS

    Zhidong Bai;Wang Zhou

  • On asymptotics of eigenvectors of large sample covariance matrix

    Z. D. Bai;B. Q. Miao;G. M. Pan

  • EXACT SEPARATION OF EIGENVALUES OF LARGE DIMENSIONAL SAMPLE COVARIANCE MATRICES

    Z. D. Bai;Jack W. Silverstein

  • On sample eigenvalues in a generalized spiked population model

    Zhidong Bai;Jianfeng Yao

  • Convergence Rate of Expected Spectral Distributions of Large Random Matrices. Part II. Sample Covariance Matrices

    Z. D. Bai

  • On detection of the number of signals when the noise covariance matrix is arbitrary

    L C Zhao;P R Krishnaiah;Z D Bai

Frequent Co-Authors

Wing-Keung Wong
Wing-Keung Wong Asian University
Jack W. Silverstein
Jack W. Silverstein North Carolina State University
Feifang Hu
Feifang Hu George Washington University
Xuming He
Xuming He Washington University in St. Louis
Debasis Kundu
Debasis Kundu Indian Institute of Technology Kanpur
William F. Rosenberger
William F. Rosenberger George Mason University
Michael McAleer
Michael McAleer Erasmus University Rotterdam
Ričardas Zitikis
Ričardas Zitikis University of Western Ontario
Luc Devroye
Luc Devroye McGill University
Merouane Debbah
Merouane Debbah Khalifa University

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