World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
41
Citations
8729
World Ranking
1884
National Ranking
68

Yaozhong Hu 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 Yaozhong Hu 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: 216 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Yaozhong Hu 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 Yaozhong Hu 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: 41 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Yaozhong Hu is affiliated with the University of Alberta in Canada and has contributed extensively to research in mathematics and economics, econometrics, and finance. Their work primarily addresses stochastic processes and their applications across various fields including finance, statistical mechanics, and numerical methods.

Their publication record features a range of topics such as stochastic processes and financial applications, stochastic processes and statistical mechanics, financial risk and volatility modeling, advanced mathematical modeling in engineering, insurance, mortality, demography, risk management, differential equations and numerical methods, and Bayesian methods and mixture models.

Yaozhong Hu has published frequently in a variety of venues, with a notable number of papers appearing in:

  • arXiv (Cornell University)
  • Journal of Computational and Applied Mathematics
  • Applied Mathematics Letters
  • Electronic Journal of Probability
  • Systems & Control Letters

Some of the recent research outputs include:

  • Numerical methods for stochastic Volterra integral equations with weakly singular kernels (2021) published in IMA Journal of Numerical Analysis
  • Regularity and Strict Positivity of Densities for the Nonlinear Stochastic Heat Equation (2021) published in Memoirs of the American Mathematical Society
  • Positivity preserving logarithmic Euler-Maruyama type scheme for stochastic differential equations (2021) published in Communications in Nonlinear Science and Numerical Simulation
  • Mean-field backward stochastic differential equations and applications (2022) published in Systems & Control Letters
  • Crank-Nicolson scheme for stochastic differential equations driven by fractional Brownian motions (2021) published in The Annals of Applied Probability

Their collaborative work often involves several frequent co-authors, including:

  • Xiong Wang
  • Yuejuan Xi
  • Junxi Zhang
  • Chengming Huang
  • Jiayu Zheng

The scope of Yaozhong Hu's research intersects multiple subfields such as finance, mathematical physics, computational theory and mathematics, statistics and probability, and management science and operations research. This multidisciplinary approach supports the development of mathematical tools and computational techniques aimed at modeling complex stochastic systems, especially within financial contexts.

Best Publications

  • Stochastic Calculus for Fractional Brownian Motion and Applications

    Francesca Biagini;Yaozhong Hu;Bernt Karsten Øksendal;Tusheng Zhang

  • Stochastic Calculus for Fractional Brownian Motion I. Theory

    Tyrone E. Duncan;Yaozhong Hu;Bozenna Pasik-Duncan

  • FRACTIONAL WHITE NOISE CALCULUS AND APPLICATIONS TO FINANCE

    Yaozhong Hu;Bernt Øksendal;Bernt Øksendal

  • Parameter estimation for fractional Ornstein–Uhlenbeck processes

    Yaozhong Hu;David Nualart

  • Integral Transformations and Anticipative Calculus for Fractional Brownian Motions

    Yaozhong Hu

  • A Delayed Black and Scholes Formula

    Mercedes Arriojas;Yaozhong Hu;Salah-Eldin Mohammed;Gyula Pap

  • Stochastic heat equation driven by fractional noise and local time

    Yaozhong Hu;David Nualart

  • Discrete-time approximations of stochastic delay equations: The Milstein scheme

    Yaozhong Hu;Salah-Eldin A. Mohammed;Feng Yan

  • Renormalized self-intersection local time for fractional Brownian motion

    Yaozhong Hu;David Nualart

  • Differential Equations Driven by Hölder Continuous Functions of Order Greater than 1/2

    Yaozhong Hu;David Nualart

  • Stochastic heat equations with general multiplicative Gaussian noises: Hölder continuity and intermittency

    Yaozhong Hu;Jingyu Huang;David Nualart;Samy Tindel

  • Parameter estimation for fractional Ornstein–Uhlenbeck processes of general Hurst parameter

    Yaozhong Hu;David Nualart;Hongjuan Zhou

  • Heat Equations with Fractional White Noise Potentials

    Y. Hu

  • Feynman–Kac formula for heat equation driven by fractional white noise

    Yaozhong Hu;David Nualart;Jian Song

  • Semi-Implicit Euler-Maruyama Scheme for Stiff Stochastic Equations

    Yaozhong Hu

  • Least squares estimator for Ornstein―Uhlenbeck processes driven by α-stable motions

    Yaozhong Hu;Hongwei Long

  • Optimal time to invest when the price processes are geometric Brownian motions

    Yaozhong Hu;Bernt Øksendal

  • Analysis On Gaussian Spaces

    Yaozhong Hu

  • Rough path analysis via fractional calculus

    Yaozhong Hu;David Nualart

  • Malliavin calculus for backward stochastic differential equations and application to numerical solutions

    Yaozhong Hu;David Nualart;Xiaoming Song

  • Stochastic heat equations with general multiplicative Gaussian noises: H"older continuity and intermittency

    Yaozhong Hu;Jingyu Huang;David Nualart;Samy Tindel

  • A Delayed Black and Scholes Formula II

    Mercedes Arriojas;Yaozhong Hu;Salah-Eldin Mohammed;Gyula Pap

Frequent Co-Authors

David Nualart
David Nualart University of Kansas
Bernt Øksendal
Bernt Øksendal University of Oslo
Tusheng Zhang
Tusheng Zhang University of Manchester
Moshe Zakai
Moshe Zakai Technion – Israel Institute of Technology
Xun Yu Zhou
Xun Yu Zhou Columbia University
Michael Röckner
Michael Röckner Bielefeld University
Zhen-Qing Chen
Zhen-Qing Chen University of Washington
Sergio Albeverio
Sergio Albeverio University of Bonn

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