World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
6641
World Ranking
6241
National Ranking
124

Feng Xiao publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Feng Xiao sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 240 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Feng Xiao D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Feng Xiao sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Feng Xiao is affiliated with the Tokyo Institute of Technology in Japan and has a research focus predominantly in the field of Engineering. Their work extends deeply into Computational Mechanics and Applied Mathematics, with further involvement in Atmospheric Science, Environmental Engineering, and Surgery.

The main topics covered in their extensive body of work include Computational Fluid Dynamics and Aerodynamics, Fluid Dynamics and Turbulent Flows, Gas Dynamics and Kinetic Theory, Meteorological Phenomena and Simulations, Wind and Air Flow Studies, Fluid Dynamics and Heat Transfer, and Lattice Boltzmann Simulation Studies.

Feng Xiao has contributed to a number of publication venues frequently. These include:

  • arXiv (Cornell University)
  • Journal of Computational Physics
  • SSRN Electronic Journal
  • Computers & Fluids
  • International Journal for Numerical Methods in Fluids

Across these venues, some of the recent papers published by Feng Xiao are:

  • Xylitol enhances synthesis of propionate in the colon via cross-feeding of gut microbiota, 2021, Microbiome
  • Constructing higher order discontinuity-capturing schemes with upwind-biased interpolations and boundary variation diminishing algorithm, 2020, Computers & Fluids
  • A fifth-order low-dissipation discontinuity-resolving TENO scheme for compressible flow simulation, 2022, Journal of Computational Physics
  • A novel high-order low-dissipation TENO-THINC scheme for hyperbolic conservation laws, 2021, Journal of Computational Physics
  • Low-dissipation BVD schemes for single and multi-phase compressible flows on unstructured grids, 2020, Journal of Computational Physics

Frequent co-authors collaborating with Feng Xiao include:

  • Chungang Chen
  • Xueshun Shen
  • Bin Xie
  • Xi Deng
  • Xingliang Li

Best Publications

  • A simple algebraic interface capturing scheme using hyperbolic tangent function

    F. Xiao;Y. Honma;T. Kono

  • Short Note: Revisit to the THINC scheme: A simple algebraic VOF algorithm

    Feng Xiao;Satoshi;Chungang Chen

  • An Exactly Conservative Semi-Lagrangian Scheme (CIP–CSL) in One Dimension

    T. Yabe;R. Tanaka;T. Nakamura;F. Xiao

  • An interface capturing method with a continuous function: The THINC method with multi-dimensional reconstruction

    Satoshi;Kazuyasu Sugiyama;Shintaro Takeuchi;Shu Takagi

  • An Eulerian interface sharpening algorithm for compressible two-phase flow: The algebraic THINC approach

    Keh-Ming Shyue;Feng Xiao

  • Constructing oscillation preventing scheme for advection equation by rational function

    F. Xiao;T. Yabe;T. Ito

  • Completely conservative and oscillationless semi-Lagrangian schemes for advection transportation

    Feng Xiao;Takashi Yabe

  • Boundary Variation Diminishing (BVD) reconstruction

    Ziyao Sun;Satoshi Inaba;Feng Xiao

  • Unified formulation for compressible and incompressible flows by using multi-integrated moments II: Multi-dimensional version for compressible and incompressible flows

    Feng Xiao;Ryosuke Akoh;Satoshi

  • Unified formulation for compressible and incompressible flows by using multi-integrated moments I: one-dimensional inviscid compressible flow

    Feng Xiao

  • Description of Complex and Sharp Interface during Shock Wave Interaction with Liquid Drop

    Takashi Yabe;Feng Xiao

  • LES of turbulent liquid jet primary breakup in turbulent coaxial air flow

    Feng Xiao;Mehriar Dianat;James J. McGuirk

  • Shallow water model on cubed-sphere by multi-moment finite volume method

    Chungang Chen;Feng Xiao

  • High fidelity discontinuity-resolving reconstruction for compressible multiphase flows with moving interfaces

    Xi Deng;Satoshi Inaba;Bin Xie;Keh Ming Shyue

  • Conservative and oscillation-less atmospheric transport schemes based on rational functions

    F. Xiao;T. Yabe;X. Peng;H. Kobayashi

  • Large Eddy Simulation of Liquid-Jet Primary Breakup in Air Crossflow

    Feng Xiao;Mehriar Dianat;James J. McGuirk

  • Toward efficient and accurate interface capturing on arbitrary hybrid unstructured grids: The THINC method with quadratic surface representation and Gaussian quadrature

    Bin Xie;Bin Xie;Feng Xiao

  • Numerical simulations of free-interface fluids by a multi-integrated moment method

    Feng Xiao;Akio Ikebata;Takashi Hasegawa

  • An algorithm for simulating solid objects suspended in stratified flow

    F. Xiao;T. Yabe;T. Ito;M. Tajima

  • Constructing a multi-dimensional oscillation preventing scheme for the advection equation by a rational function

    F. Xiao;T. Yabe;G. Nizam;T. Ito

Frequent Co-Authors

Shijun Liao
Shijun Liao Shanghai Jiao Tong University
Tomoyoshi Ito
Tomoyoshi Ito Chiba University
Yoichiro Matsumoto
Yoichiro Matsumoto University of Tokyo
Hao Liu
Hao Liu Chiba University
Chunwei Zhang
Chunwei Zhang Shenyang University of Technology
Stéphane Zaleski
Stéphane Zaleski Sorbonne University
Piotr K. Smolarkiewicz
Piotr K. Smolarkiewicz European Centre for Medium-Range Weather Forecasts
Rémi Abgrall
Rémi Abgrall University of Zurich
Sho Sasaki
Sho Sasaki Osaka University
Masaki Satoh
Masaki Satoh University of Tokyo

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