World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
43
Citations
6599
World Ranking
1715
National Ranking
95

Xiaoming 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 Xiaoming 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: 146 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Xiaoming 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 Xiaoming 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: 43 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Overview

Xiaoming Wang is affiliated with the Southern University of Science and Technology in China. Their primary area of research lies within the broad field of Engineering, with a specific focus on Computational Mechanics, Materials Chemistry, Statistical and Nonlinear Physics, Computational Theory and Mathematics, and Applied Mathematics.

Their recent publication record includes works on diverse topics, reflecting a multidisciplinary approach to engineering and computational sciences. Notable papers include:

  • "Research Progress on the Early Monitoring of Pine Wilt Disease Using Hyperspectral Techniques," 2020, published in Sensors
  • "Durable and highly sensitive flexible sensors for wearable electronic devices with PDMS-MXene/TPU composite films," 2021, published in Ceramics International
  • "Energy Stable Numerical Schemes for Ternary Cahn-Hilliard System," 2020, published in Journal of Scientific Computing
  • "Energy stable higher-order linear ETD multi-step methods for gradient flows: application to thin film epitaxy," 2020, published in Research in the Mathematical Sciences
  • "Hydroboration of carbon dioxide enabled by molecular zinc dihydrides," 2020, published in Dalton Transactions

Frequent coauthors in their collaborations include Wenbin Chen, Cheng Wang, Daozhi Han, Shufen Wang, and Muhammad Abbas, indicating a network of partnerships primarily within scientific computing and materials research.

Xiaoming Wang has contributed to multiple publication venues, with recurring publications in:

  • arXiv (Cornell University)
  • Journal of Scientific Computing
  • The Cambridge Structural Database
  • Sensors
  • Physica D Nonlinear Phenomena

Their research contributions cover several main topics, including:

  • Solidification and crystal growth phenomena
  • Advanced Numerical Methods in Computational Mathematics
  • Advanced Mathematical Modeling in Engineering
  • Fluid Dynamics and Thin Films
  • Fluid Dynamics and Turbulent Flows
  • Fractional Differential Equations Solutions
  • Nonlinear Waves and Solitons

The breadth of topics and publication venues highlights a focus on computational and mathematical techniques applied to engineering problems, material sciences, and fluid dynamics. Their work involves developing and analyzing numerical schemes and models for complex physical phenomena often described by nonlinear and fractional differential equations.

Best Publications

  • Nonlinear Dynamics and Statistical Theories for Basic Geophysical Flows

    Andrew J. Majda;Xiaoming Wang

  • Second-order Convex Splitting Schemes for Gradient Flows with Ehrlich-Schwoebel Type Energy: Application to Thin Film Epitaxy

    Jie Shen;Cheng Wang;Xiaoming Wang;Steven M. Wise

  • Coupled Stokes-Darcy model with Beavers-Joseph interface boundary condition

    Yanzhao Cao;Max Gunzburger;Fei Hua;Xiaoming Wang

  • A second order in time, uniquely solvable, unconditionally stable numerical scheme for Cahn-Hilliard-Navier-Stokes equation

    Daozhi Han;Xiaoming Wang

  • Finite Element Approximations for Stokes-Darcy Flow with Beavers-Joseph Interface Conditions

    Yanzhao Cao;Max Gunzburger;Xiaolong Hu;Fei Hua

  • Unconditionally stable schemes for equations of thin film epitaxy

    Cheng Wang;Xiaoming Wang;Steven M. Wise

  • Convergence analysis and error estimates for a second order accurate finite element method for the Cahn–Hilliard–Navier–Stokes system

    Amanda E. Diegel;Cheng Wang;Xiaoming Wang;Steven M. Wise

  • Attractors for non-compact semigroups via energy equations

    Ioana Moise;Ioana Moise;Ricardo Rosa;Ricardo Rosa;Xiaoming Wang

  • Boundary Layers Associated with Incompressible Navier–Stokes Equations: The Noncharacteristic Boundary Case

    R. Temam;R. Temam;X. Wang

  • Positivity-preserving, energy stable numerical schemes for the Cahn-Hilliard equation with logarithmic potential

    Wenbin Chen;Cheng Wang;Xiaoming Wang;Xiaoming Wang;Xiaoming Wang;Steven M. Wise

  • A Parallel Robin-Robin Domain Decomposition Method for the Stokes-Darcy System

    Wenbin Chen;Max Gunzburger;Fei Hua;Xiaoming Wang

  • A Linear Energy Stable Scheme for a Thin Film Model Without Slope Selection

    Wenbin Chen;Sidafa Conde;Cheng Wang;Xiaoming Wang

  • Parallel, non-iterative, multi-physics domain decomposition methods for time-dependent Stokes-Darcy systems

    Yanzhao Cao;Max D. Gunzburger;Xiaoming He;Xiaoming Wang

  • A Second Order BDF Numerical Scheme with Variable Steps for the Cahn--Hilliard Equation

    Wenbin Chen;Xiaoming Wang;Yue Yan;Zhuying Zhang

  • Robin–Robin domain decomposition methods for the steady-state Stokes–Darcy system with the Beavers–Joseph interface condition

    Yanzhao Cao;Max Gunzburger;Xiaoming He;Xiaoming Wang

  • An energy equation for the weakly damped driven nonlinear Schro¨dinger equations and its application to their attractors

    Xiaoming Wang

  • A Kato type theorem on zero viscosity limit of Navier-Stokes flows

    Xiaoming Wang

  • On the behavior of the solutions of the Navier-Stokes equations at vanishing viscosity

    Roger Temam;Xiaoming Wang

  • A Linear Iteration Algorithm for a Second-Order Energy Stable Scheme for a Thin Film Model Without Slope Selection

    Wenbin Chen;Cheng Wang;Xiaoming Wang;Steven M. Wise

  • Efficient and Long-Time Accurate Second-Order Methods for the Stokes--Darcy System

    Wenbin Chen;Max D. Gunzburger;Dong Sun;Xiaoming Wang

Frequent Co-Authors

Roger Temam
Roger Temam Indiana University
Max D. Gunzburger
Max D. Gunzburger Florida State University
Cheng Wang
Cheng Wang University of Massachusetts Dartmouth
Steven M. Wise
Steven M. Wise University of Tennessee at Knoxville
Andrew J. Majda
Andrew J. Majda Courant Institute of Mathematical Sciences
Alain Miranville
Alain Miranville University of Le Havre
Charles R. Doering
Charles R. Doering University of Michigan–Ann Arbor
Jie Shen
Jie Shen Eastern Institute of Technology, Ningbo
Qiang Du
Qiang Du Columbia University
Lili Ju
Lili Ju University of South Carolina

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