World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
47
Citations
7132
World Ranking
1295
National Ranking
577

Bixiang Wang 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 Bixiang Wang 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: 130 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Bixiang Wang 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 Bixiang Wang 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: 47 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Overview

Bixiang Wang is affiliated with the New Mexico Institute of Mining and Technology in the United States. Their research activity spans several fields of study, primarily in Computer Science, Engineering, and Mathematics. The subfields in which they have concentrated their work include Control and Systems Engineering, Computational Theory and Mathematics, Mathematical Physics, Finance, and Applied Mathematics.

The main topics covered in their research involve various aspects of differential equations and mathematical modeling, including:

  • Stability and Controllability of Differential Equations
  • Advanced Mathematical Modeling in Engineering
  • Stochastic processes and financial applications
  • Advanced Mathematical Physics Problems
  • Nonlinear Partial Differential Equations
  • Numerical methods in inverse problems
  • Neural Networks Stability and Synchronization

Bixiang Wang's publication record includes contributions to several frequent publication venues, such as:

  • arXiv (Cornell University)
  • Journal of Differential Equations
  • Discrete and Continuous Dynamical Systems - B
  • Stochastics and Dynamics
  • Discrete and Continuous Dynamical Systems

Their recent papers include interdisciplinary research connecting health science and applied mathematics. Notable examples are:

  • Effect of soybean insoluble dietary fiber on prevention of obesity in high-fat diet fed mice via regulation of the gut microbiota, 2021, Food & Function
  • Effects of dietary fiber on human health, 2021, Food Science and Human Wellness
  • Limiting Behavior of Invariant Measures of Stochastic Delay Lattice Systems, 2021, Journal of Dynamics and Differential Equations
  • Random dynamics of p-Laplacian lattice systems driven by infinite-dimensional nonlinear noise, 2020, Stochastic Processes and their Applications
  • Periodic measures of stochastic delay lattice systems, 2020, Journal of Differential Equations

Frequent co-authors working alongside Bixiang Wang include the following individuals:

  • Zhang Chen
  • Wen Lian-kui
  • Renhai Wang
  • Yang He
  • Dingshi Li

Best Publications

  • Sufficient and necessary criteria for existence of pullback attractors for non-compact random dynamical systems

    Bixiang Wang

  • Random attractors for stochastic reaction–diffusion equations on unbounded domains

    Peter W. Bates;Kening Lu;Bixiang Wang

  • Attractors for reaction-diffusion equations in unbounded domains

    Bixiang Wang

  • ATTRACTORS FOR LATTICE DYNAMICAL SYSTEMS

    Peter W. Bates;Kening Lu;Bixiang Wang

  • Random attractors for non-autonomous stochasticwave equations with multiplicative noise

    Unknown

  • Dynamics of systems on infinite lattices

    Bixiang Wang

  • Attractors of non-autonomous stochastic lattice systems in weighted spaces

    Peter W. Bates;Kening Lu;Bixiang Wang

  • Existence and upper semicontinuity of attractors for stochastic equations with deterministic non-autonomous terms

    Bixiang Wang

  • Random attractors for the stochastic Benjamin–Bona–Mahony equation on unbounded domains

    Bixiang Wang

  • Asymptotic behavior of stochastic wave equations with critical exponents on $\mathbb{R}^{3}$

    Unknown

  • Wong-Zakai approximations and attractors for stochastic reaction-diffusion equations on unbounded domains

    Xiaohu Wang;Kening Lu;Bixiang Wang

  • Dynamics of fractional stochastic reaction-diffusion equations on unbounded domains driven by nonlinear noise

    Bixiang Wang

  • Regularity of random attractors for fractional stochastic reaction–diffusion equations on Rn

    Anhui Gu;Dingshi Li;Bixiang Wang;Han Yang

  • Poisson-Nernst-Planck Systems for Narrow Tubular-Like Membrane Channels

    Weishi Liu;Bixiang Wang

  • Weak Pullback Attractors for Mean Random Dynamical Systems in Bochner Spaces

    Bixiang Wang

  • Asymptotic behavior of fractional nonclassical diffusion equations driven by nonlinear colored noise on mathbb{R}(N) R N

    Renhai Wang;Lin Shi;Bixiang Wang

  • Asymptotic behavior of non-autonomous lattice systems

    Bixiang Wang

  • Random dynamics of fractional nonclassical diffusion equations driven by colored noise

    Renhai Wang;Yangrong Li;Bixiang Wang

  • Exponential Stability of Non-Autonomous Stochastic Delay Lattice Systems with Multiplicative Noise

    Xiaohu Wang;Kening Lu;Kening Lu;Bixiang Wang

  • Wong–Zakai Approximations and Long Term Behavior of Stochastic Partial Differential Equations

    Kening Lu;Bixiang Wang

  • Finite dimensional behaviour for the derivative Ginzburg-Landau equation in two spatial dimensions

    Boling Guo;Bixiang Wang

  • Upper semicontinuity of random attractors for non-compact random dynamical systems.

    Bixiang Wang

  • Global Attractors for the Klein-Gordon-Schrödinger Equation in Unbounded Domains

    Kening Lu;Kening Lu;Bixiang Wang;Bixiang Wang

  • Attractors for lattice Fitzhugh-Nagumo systems

    Erik Van Vleck;Bixiang Wang

  • Attractors for Partly Dissipative Reaction Diffusion Systems in Rn

    Anibal Rodriguez-Bernal;Bixiang Wang;Bixiang Wang

  • Random Attractors for Delay Parabolic Equations with Additive Noise and Deterministic Nonautonomous Forcing

    Xiaohu Wang;Kening Lu;Bixiang Wang

Frequent Co-Authors

Kening Lu
Kening Lu Brigham Young University
Peter W. Bates
Peter W. Bates Michigan State University
Tamás Terlaky
Tamás Terlaky Lehigh University

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