World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
34
Citations
7059
World Ranking
2862
National Ranking
185

Tusheng Zhang 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 Tusheng Zhang 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: 217 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.

Tusheng Zhang 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 Tusheng Zhang 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: 34 D-Index — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Overview

Tusheng Zhang is a researcher affiliated with the University of Manchester in the United Kingdom. Their work primarily spans the fields of Mathematics and Economics, Econometrics and Finance, with a particular focus on stochastic processes and their applications in finance and advanced mathematical modeling.

The scientist's research contributions cover a range of topics including:

  • Stochastic processes and financial applications
  • Advanced Mathematical Modeling in Engineering
  • Mathematical Biology Tumor Growth
  • Nonlinear Partial Differential Equations
  • Stability and Controllability of Differential Equations
  • Navier-Stokes equation solutions
  • Stochastic processes and statistical mechanics

Tusheng Zhang has published extensively, with a significant presence in several academic venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Journal of Differential Equations
  • Bernoulli
  • Potential Analysis
  • Stochastic Processes and their Applications

Selected recent papers highlight the broad range and continued relevance of their work:

  • Large deviation principles for first-order scalar conservation laws with stochastic forcing, 2020, The Annals of Applied Probability
  • Large and Moderate Deviation Principles for McKean-Vlasov SDEs with Jumps, 2022, Potential Analysis
  • Well-posedness of stochastic partial differential equations with fully local monotone coefficients, 2024, Mathematische Annalen
  • Stochastic heat equations with logarithmic nonlinearity, 2022, Journal of Differential Equations
  • Talagrand Inequality on Free Path Space and Application to Stochastic Reaction Diffusion Equations, 2020, Acta Mathematicae Applicatae Sinica English Series

The collaborations of Tusheng Zhang include frequent co-authorship with several researchers, reflecting an active engagement in collaborative projects. Notable co-authors are:

  • Jianliang Zhai
  • Shijie Shang
  • Saisai Yang
  • Rangrang Zhang
  • Tianyi Pan

Their research integrates aspects of applied mathematics and computational theory, contributing also to mathematical physics and modeling and simulation. This multidimensional approach supports work on complex differential equations and stochastic systems relevant to engineering and biological contexts.

Best Publications

  • Stochastic Calculus for Fractional Brownian Motion and Applications

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

  • Stochastic partial differential equations

    Helge Holden;Bernt Øksendal;Jan Ubøe;Tusheng Zhang

  • Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach

    Helge Holden;Bernt Øksendal;Jan Ubøe;Tusheng Zhang

  • Stochastic Partial Differential Equations

    Unknown

  • A study of a class of stochastic differential equations with non-Lipschitzian coefficients

    Shizan Fang;Tusheng Zhang

  • Parabolic SPDEs driven by Poisson white noise

    Sergio Albeverio;Jiang-Lun Wu;Tu-Sheng Zhang

  • Stochastic Partial Differential Equations

    Unknown

  • Stochastic Evolution Equations of Jump Type: Existence, Uniqueness and Large Deviation Principles

    Michael Röckner;Tusheng Zhang

  • Optimal control of stochastic delay equations and time-advanced backward stochastic differential equations

    Bernt Øksendal;Agnès Sulem;Tusheng Zhang

  • The Stable Manifold Theorem for Semilinear Stochastic Evolution Equations and Stochastic Partial Differential Equations

    Salah-Eldin A. Mohammed;Tusheng Zhang;Huaizhong Zhao

  • Decomposition of Dirichlet Processes and its Application

    T. J. Lyons;T. S. Zhang

  • Large deviations and support theorem for diffusion processes via rough paths

    M. Ledoux;Z. Qian;T. Zhang

  • The burgers equation with a noisy force and the stochastic heat equation

    Helge Holden;Tom Lindstrøm;Bernt Øksendal;Jan Ubøe

  • A variational approach to the construction and Malliavin differentiability of strong solutions of SDE’s

    Olivier Menoukeu-Pamen;Thilo Meyer-Brandis;Torstein Nilssen;Frank Proske

  • White noise driven SPDEs with reflection: Existence, uniqueness and large deviation principles

    Tiange Xu;Tusheng Zhang;Tusheng Zhang

  • Stochastic 3D tamed Navier-Stokes equations: Existence, uniqueness and small time large deviation principles

    Michael Röckner;Tusheng Zhang

  • Large Deviations for Stochastic Tamed 3D Navier-Stokes Equations

    Michael Röckner;Michael Röckner;Tusheng Zhang;Xicheng Zhang;Xicheng Zhang

  • A moderate deviation principle for 2-D stochastic Navier-Stokes equations

    Ran Wang;Jian Liang Zhai;Tu Sheng Zhang;Tu Sheng Zhang

  • Large deviations for 2_D stochastic Navier-Stokes equations driven by multiplicative Levy noises

    Unknown

  • White Noise Driven SPDEs with Reflection: Strong Feller Properties and Harnack Inequalities

    Tusheng Zhang;Tusheng Zhang

  • Local times of fractional Brownian sheets

    Yimin Xiao;Tusheng Zhang

  • Absolute continuity of symmetric Markov processes

    Zhen-Qing Chen;P. J. Fitzsimmons;M. Takeda;J. Ying

  • Uniqueness of Generalized Schrödinger Operators, Part II

    M. Röckner;Tu-Sheng Zhang

  • Moderate Deviations for Stochastic Reaction-Diffusion Equations with Multiplicative Noise

    Ran Wang;Tusheng Zhang

  • On the Small Time Asymptotics of Diffusion Processes on Path Groups

    Unknown

  • Stochastic Analysis and Applications

    Fred Espen Benth;Giulia Di Nunno;Tom Lindstrøm;Bernt Øksendal

  • Large deviations for stochastic heat equation with rough dependence in space

    Yaozhong Hu;David Nualart;Tusheng Zhang

Frequent Co-Authors

Bernt Øksendal
Bernt Øksendal University of Oslo
Yaozhong Hu
Yaozhong Hu University of Alberta
Feng-Yu Wang
Feng-Yu Wang Tianjin University
Helge Holden
Helge Holden Norwegian University of Science and Technology
Michael Röckner
Michael Röckner Bielefeld University
Zhen-Qing Chen
Zhen-Qing Chen University of Washington
Jie Xiong
Jie Xiong University of Electronic Science and Technology of China
Peter Imkeller
Peter Imkeller Humboldt-Universität zu Berlin
Davar Khoshnevisan
Davar Khoshnevisan University of Utah
Xicheng Zhang
Xicheng Zhang Wuhan University

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