World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
64
Citations
17357
World Ranking
539
National Ranking
16

YuanTong Gu publication distribution in Mechanical and Aerospace Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mechanical and Aerospace Engineering in 2026. The highlighted bar marks where YuanTong Gu sits on this spectrum.

47–56 publications: 10 scientists 57–66 publications: 23 scientists 67–76 publications: 32 scientists 77–86 publications: 62 scientists 87–96 publications: 67 scientists 97–106 publications: 91 scientists 107–116 publications: 113 scientists 117–126 publications: 115 scientists 127–136 publications: 130 scientists 137–146 publications: 140 scientists 147–156 publications: 155 scientists 157–166 publications: 132 scientists 167–176 publications: 133 scientists 177–186 publications: 130 scientists 187–196 publications: 140 scientists 197–206 publications: 115 scientists 207–216 publications: 125 scientists 217–226 publications: 117 scientists 227–236 publications: 99 scientists 237–246 publications: 92 scientists 247–256 publications: 100 scientists 257–266 publications: 95 scientists 267–276 publications: 88 scientists 277–286 publications: 77 scientists 287–296 publications: 74 scientists 297–306 publications: 74 scientists 307–316 publications: 62 scientists 317–326 publications: 70 scientists 327–336 publications: 59 scientists 337–346 publications: 58 scientists 347–356 publications: 45 scientists 357–366 publications: 44 scientists 367–376 publications: 36 scientists 377–386 publications: 41 scientists 387–396 publications: 32 scientists 397–406 publications: 23 scientists 407–416 publications: 28 scientists 417–426 publications: 27 scientists 427–436 publications: 25 scientists 437–446 publications: 23 scientists 447–456 publications: 23 scientists 457–466 publications: 20 scientists 467–476 publications: 12 scientists 477–486 publications: 24 scientists 487–496 publications: 18 scientists 497–506 publications: 12 scientists 507–516 publications: 13 scientists 517–526 publications: 21 scientists 527–536 publications: 12 scientists 537–546 publications: 8 scientists 547–556 publications: 16 scientists 557–566 publications: 3 scientists 567–576 publications: 11 scientists 577–586 publications: 6 scientists 587–596 publications: 5 scientists 597–606 publications: 6 scientists 607–616 publications: 7 scientists 617–626 publications: 7 scientists 627–636 publications: 10 scientists 637–646 publications: 4 scientists 647–656 publications: 3 scientists 657–658 publications: 2 scientists 659+ publications: 100 scientists
47 publications 659+

This scientist: 517 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 659 publications or more.

YuanTong Gu D-index placement in Mechanical and Aerospace Engineering in 2026

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

30 D-Index: 83 scientists 31 D-Index: 113 scientists 32 D-Index: 144 scientists 33 D-Index: 153 scientists 34 D-Index: 189 scientists 35 D-Index: 158 scientists 36 D-Index: 139 scientists 37 D-Index: 127 scientists 38 D-Index: 130 scientists 39 D-Index: 126 scientists 40 D-Index: 104 scientists 41 D-Index: 100 scientists 42 D-Index: 107 scientists 43 D-Index: 101 scientists 44 D-Index: 103 scientists 45 D-Index: 79 scientists 46 D-Index: 88 scientists 47 D-Index: 70 scientists 48 D-Index: 83 scientists 49 D-Index: 44 scientists 50 D-Index: 64 scientists 51 D-Index: 56 scientists 52 D-Index: 50 scientists 53 D-Index: 48 scientists 54 D-Index: 58 scientists 55 D-Index: 52 scientists 56 D-Index: 48 scientists 57 D-Index: 42 scientists 58 D-Index: 34 scientists 59 D-Index: 42 scientists 60 D-Index: 37 scientists 61 D-Index: 42 scientists 62 D-Index: 44 scientists 63 D-Index: 22 scientists 64 D-Index: 33 scientists 65 D-Index: 29 scientists 66 D-Index: 23 scientists 67 D-Index: 29 scientists 68 D-Index: 24 scientists 69 D-Index: 19 scientists 70 D-Index: 34 scientists 71 D-Index: 26 scientists 72 D-Index: 19 scientists 73 D-Index: 18 scientists 74 D-Index: 19 scientists 75 D-Index: 14 scientists 76 D-Index: 19 scientists 77 D-Index: 8 scientists 78 D-Index: 18 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 17 scientists 82 D-Index: 11 scientists 83 D-Index: 16 scientists 84 D-Index: 7 scientists 85 D-Index: 9 scientists 86 D-Index: 8 scientists 87 D-Index: 6 scientists 88 D-Index: 6 scientists 89 D-Index: 7 scientists 90 D-Index: 10 scientists 91 D-Index: 4 scientists 92 D-Index: 4 scientists 93+ D-Index: 100 scientists
30 D-Index 93+

This scientist: 64 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 93 D-Index or more.

Overview

YuanTong Gu is affiliated with Queensland University of Technology in Australia. Their research spans multiple areas within engineering and materials science, focusing on topics such as materials chemistry, biomedical engineering, and computational mechanics.

They have contributed extensively to fields including:

  • Engineering
  • Materials Science

Key subfields of study in their work include:

  • Materials Chemistry
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Civil and Structural Engineering
  • Computational Mechanics

Their main research topics cover:

  • Model Reduction and Neural Networks
  • Inhalation and Respiratory Drug Delivery
  • Advanced Photocatalysis Techniques
  • Aerosol Filtration and Electrostatic Precipitation
  • Carbon Nanotubes in Composites
  • 2D Materials and Applications
  • Graphene research and applications

YuanTong Gu has collaborated frequently with several researchers, notably:

  • Liangzhi Kou
  • Haifei Zhan
  • Laith Alzubaidi
  • Jinshuai Bai
  • Emilie Sauret

They have published extensively in various venues, with a notable number of publications in:

  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Computer Methods in Applied Mechanics and Engineering
  • Physics of Fluids
  • International Journal of Environmental Research and Public Health

Their recent selected papers reflect the diversity of their research interests:

  • A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications, 2023, Journal Of Big Data
  • A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion, 2023, Information Fusion
  • Metal-Nitrogen-Doped Carbon Materials as Highly Efficient Catalysts: Progress and Rational Design, 2020, Advanced Science
  • A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations, 2023, Expert Systems with Applications
  • Controllable CO2 electrocatalytic reduction via ferroelectric switching on single atom anchored In2Se3 monolayer, 2021, Nature Communications

Best Publications

  • An Introduction to Meshfree Methods and Their Programming

    G. R. Liu;Y. T. Gu

  • A point interpolation method for two-dimensional solids

    Gui-Rong Liu;YuanTong Gu

  • A LOCAL RADIAL POINT INTERPOLATION METHOD (LRPIM) FOR FREE VIBRATION ANALYSES OF 2-D SOLIDS

    G.R. Liu;Y.T. Gu

  • A meshfree radial point interpolation method (RPIM) for three-dimensional solids

    Gui-Rong Liu;Gui-Rong Liu;Guiyong Zhang;YuanTong Gu;Y Wang

  • A meshless local Petrov-Galerkin (MLPG) method for free and forced vibration analyses for solids

    YuanTong Gu;Gui-Rong Liu

  • A local point interpolation method for static and dynamic analysis of thin beams

    YuanTong Gu;Gui-Rong Liu

  • Mechanical properties of graphene: Effects of layer number, temperature and isotope

    Yingyan Zhang;Yingyan Zhang;YuanTong Gu

  • Point interpolation method based on local residual formulation using radial basis functions

    G.R. Liu;L. Yan;J.G. Wang;Y.T. Gu

  • An implicit RBF meshless approach for time fractional diffusion equations

    Q. Liu;Y. T. Gu;P. Zhuang;F. Liu

  • A meshfree method: meshfree weak–strong (MWS) form method, for 2-D solids

    G. R. Liu;Y. T. Gu

  • A boundary point interpolation method for stress analysis of solids

    YuanTong Gu;Gui-Rong Liu

  • MESHFREE METHODS AND THEIR COMPARISONS

    YuanTong Gu

  • A local point interpolation method for stress analysis of two-dimensional solids

    G.R. Liu;Y.T. Gu

  • Conversion of Catalytically Inert 2D Bismuth Oxide Nanosheets for Effective Electrochemical Hydrogen Evolution Reaction Catalysis via Oxygen Vacancy Concentration Modulation

    Unknown

  • Three-dimensional off-design numerical analysis of an organic Rankine cycle radial-inflow turbine

    Emilie Sauret;Yuantong Gu

  • A Meshless Local Petrov-Galerkin (MLPG) Formulation for Static and Free Vibration Analyses of Thin Plates

    Y. T. Gu;G. R. Liu

  • Meshless local Petrov-Galerkin (MLPG) method in combination with finite element and boundary element approaches

    G. R. Liu;Y. T. Gu

  • A meshless local Kriging method for large deformation analyses

    YuanTong Gu;Qingxia Wang;Qingxia Wang;K Lam

  • A Physics-Informed Neural Network-based Topology Optimization (PINNTO) framework for structural optimization

    Unknown

  • Comparison between the radial point interpolation and the Kriging interpolation used in meshfree methods

    K. Y. Dai;G. R. Liu;K. M. Lim;Y. T. Gu

  • A point interpolation mesh free method for static and frequency analysis of two-dimensional piezoelectric structures

    G. R. Liu;K. Y. Dai;K. M. Lim;Y. T. Gu

  • A coupled element free Galerkin/boundary element method for stress analysis of two-dimensional solids

    YuanTong Gu;Gui-Rong Liu

Frequent Co-Authors

Suvash C. Saha
Suvash C. Saha University of Technology Sydney
Gui-Rong Liu
Gui-Rong Liu University of Cincinnati
Prasad Yarlagadda
Prasad Yarlagadda Queensland University of Technology
John Bell
John Bell Queensland University of Technology
Aijun Du
Aijun Du Queensland University of Technology
Yingyan Zhang
Yingyan Zhang RMIT University
Gang Zhang
Gang Zhang Agency for Science, Technology and Research
Fawang Liu
Fawang Liu Queensland University of Technology
Liangzhi Kou
Liangzhi Kou Queensland University of Technology
Ian Turner
Ian Turner Queensland University of Technology

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