World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
43
Citations
5889
World Ranking
1731
National Ranking
98

Gang Bao 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 Gang Bao 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: 177 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Gang Bao 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 Gang Bao 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

Gang Bao is affiliated with Zhejiang University in China and has contributed extensively to the fields of engineering and physics. Their research spans multiple subfields including atomic and molecular physics, optics, electrical and electronic engineering, biomedical engineering, mechanics of materials, and mathematical physics.

Their work frequently addresses topics related to electromagnetic scattering and analysis, electromagnetic simulation and numerical methods, numerical methods in engineering, numerical methods in inverse problems, microwave imaging and scattering analysis, advanced mathematical modeling in engineering, and magnetic properties and applications.

Gang Bao has published in several consistent venues, with notable frequent publications in:

  • arXiv (Cornell University)
  • Journal of Computational Physics
  • SIAM Journal on Numerical Analysis
  • CSIAM Transactions on Applied Mathematics
  • SSRN Electronic Journal

Key recent papers authored or co-authored by Gang Bao include:

  • "Stability for the multifrequency inverse medium problem," 2020, Journal of Differential Equations
  • "An Adaptive Finite Element DtN Method for the Elastic Wave Scattering Problem in Three Dimensions," 2021, SIAM Journal on Numerical Analysis

Other relevant papers within their collaboration network include:

  • "Weak adversarial networks for high-dimensional partial differential equations," 2020, Journal of Computational Physics
  • "A high-frequency artificial nerve based on homogeneously integrated organic electrochemical transistors," 2025, Nature Electronics
  • "An Adaptive Finite Element DtN Method for the Open Cavity Scattering Problems," 2020, CSIAM Transactions on Applied Mathematics

Their frequent co-authors include Peijun Li, Xiaokai Yuan, Yaohua Zang, Faouzi Triki, and Xingguo Wang, reflecting collaborative engagements across multiple research activities.

Best Publications

  • Weak adversarial networks for high-dimensional partial differential equations

    Yaohua Zang;Gang Bao;Xiaojing Ye;Haomin Zhou

  • Mathematical studies in rigorous grating theory

    Gang Bao;David C. Dobson;J. Allen Cox

  • A Fast Algorithm for the Electromagnetic Scattering from a Large Cavity

    Gang Bao;Weiwei Sun

  • A multi-frequency inverse source problem

    Gang Bao;Gang Bao;Junshan Lin;Faouzi Triki

  • Inverse scattering problems with multi- frequencies

    Gang Bao;Peijun Li;Junshan Lin;Faouzi Triki

  • Finite element approximation of time harmonic waves in periodic structures

    Gang Bao

  • An Inverse Source Problem for Maxwell's Equations in Magnetoencephalography

    Gang Bao;Habib Ammari;John L. Fleming

  • Adaptive finite-element method for diffraction gratings

    Gang Bao;Zhiming Chen;Haijun Wu

  • An integral equation method for the electromagnetic scattering from cavities

    Habib Ammari;Gang Bao;Aihua W. Wood

  • Numerical solution of the Helmholtz equation with high wavenumbers

    Gang Bao;Gang Bao;G. W. Wei;G. W. Wei;Shan Zhao

  • Mathematical modeling in optical science

    Gang Bao;Lawrence Cowsar;Wen Masters

  • Analysis of the electromagnetic scattering from a cavity

    Habib Ammari;Gang Bao;Aihua W. Wood

  • Inverse Medium Scattering Problems for Electromagnetic Waves

    Gang Bao;Peijun Li

  • Numerical Solution of Inverse Problems by Weak Adversarial Networks

    Gang Bao;Xiaojing Ye;Yaohua Zang;Haomin Zhou

  • An adaptive edge element method with perfectly matched absorbing layers for wave scattering by biperiodic structures

    Gang Bao;Peijun Li;Haijun Wu

  • Inverse medium scattering for the Helmholtz equation at fixed frequency

    Gang Bao;Peijun Li

  • Numerical solution of an inverse diffraction grating problem from phaseless data

    Gang Bao;Peijun Li;Junliang Lv

  • A Recursive Algorithm for MultiFrequency Acoustic Inverse Source Problems

    Gang Bao;Shuai Lu;William Rundell;Boxi Xu

  • Convergence Analysis of the Perfectly Matched Layer Problems for Time-Harmonic Maxwell's Equations

    Gang Bao;Haijun Wu

  • An h-adaptive finite element solver for the calculations of the electronic structures

    Gang Bao;Guanghui Hu;Di Liu

  • Variational approximation of Maxwell's equations in biperiodic structures

    Gang Bao

Frequent Co-Authors

Habib Ammari
Habib Ammari ETH Zurich
William W. Symes
William W. Symes Rice University
Shan Zhao
Shan Zhao University of Alabama
Hongyu Liu
Hongyu Liu City University of Hong Kong
Weihong Tan
Weihong Tan Hunan University
Guo-Wei Wei
Guo-Wei Wei Michigan State University
Shui-Nee Chow
Shui-Nee Chow Georgia Institute of Technology
Todd A. Ehlers
Todd A. Ehlers University of Glasgow
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Jianliang Qian
Jianliang Qian Michigan State University

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