World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
35
Citations
4438
World Ranking
2691
National Ranking
96

Fang-Bao Tian 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 Fang-Bao Tian 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: 156 publications — 27th percentile

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

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

Fang-Bao Tian 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 Fang-Bao Tian 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: 35 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Overview

Fang-Bao Tian is affiliated with the University of New South Wales in Australia. Their primary field of study lies within engineering, with a focus on computational mechanics, aerospace engineering, electrical and electronic engineering, condensed matter physics, and mechanical engineering.

The scientist's research covers several interconnected topics, including:

  • Lattice Boltzmann Simulation Studies
  • Biomimetic flight and propulsion mechanisms
  • Fluid Dynamics and Turbulent Flows
  • Fluid Dynamics and Vibration Analysis
  • Aerosol Filtration and Electrostatic Precipitation
  • Micro and Nano Robotics
  • Blood properties and coagulation

Fang-Bao Tian's recent papers reflect these topics and are published in internationally recognized venues. Selected papers include:

  • "Review on bio-inspired flight systems and bionic aerodynamics," 2020, Chinese Journal of Aeronautics
  • "An immersed boundary-lattice Boltzmann method for fluid-structure interaction problems involving viscoelastic fluids and complex geometries," 2020, Journal of Computational Physics
  • "A numerical study of fish adaption behaviors in complex environments with a deep reinforcement learning and immersed boundary-lattice Boltzmann method," 2021, Scientific Reports
  • "An immersed boundary method for fluid-structure-acoustics interactions involving large deformations and complex geometries," 2020, Journal of Fluids and Structures
  • "Transition to chaos in a two-sided collapsible channel flow," 2021, Journal of Fluid Mechanics

The venues where the scientist frequently publishes include:

  • Physics of Fluids
  • Journal of Fluid Mechanics
  • Journal of Fluids and Structures
  • Fluids
  • SSRN Electronic Journal

Collaboration plays a significant role in Fang-Bao Tian's research, with frequent co-authors comprising:

  • John Young
  • Joseph C. S. Lai
  • Li Wang
  • Sridhar Ravi
  • Qiuxiang Huang

Best Publications

  • Fluid-structure interaction involving large deformations: 3D simulations and applications to biological systems

    Fang-Bao Tian;Hu Dai;Haoxiang Luo;James F. Doyle

  • An efficient immersed boundary-lattice Boltzmann method for the hydrodynamic interaction of elastic filaments

    Fang-Bao Tian;Haoxiang Luo;Luoding Zhu;James C. Liao

  • Recent trends and progress in the immersed boundary method

    Wei-Xi Huang;Fang-Bao Tian

  • Force production and asymmetric deformation of a flexible flapping wing in forward flight

    Fang-Bao Tian;Haoxiang Luo;Jialei Song;Xi-Yun Lu

  • Review on bio-inspired flight systems and bionic aerodynamics

    Jiakun Han;Jiakun Han;Zhe Hui;Fangbao Tian;Gang Chen

  • An immersed boundary method for fluid–structure interaction with compressible multiphase flows

    Li Wang;Li Wang;Gaetano M.D. Currao;Feng Han;Andrew J. Neely

  • On numerical modeling of animal swimming and flight

    Hong-Bin Deng;Yuan-Qing Xu;Duan-Duan Chen;Hu Dai

  • Coupling modes of three filaments in side-by-side arrangement

    Fang-Bao Tian;Haoxiang Luo;Luoding Zhu;Xi-Yun Lu

  • A novel geometry-adaptive Cartesian grid based immersed boundary–lattice Boltzmann method for fluid–structure interactions at moderate and high Reynolds numbers

    Lincheng Xu;Fang-Bao Tian;John Young;Joseph C.S. Lai

  • Simulation of a pulsatile non-Newtonian flow past a stenosed 2D artery with atherosclerosis

    Fang-Bao Tian;Luoding Zhu;Pak-Wing Fok;Xi-Yun Lu

  • Secondary vortex street in the wake of two tandem circular cylinders at low Reynolds number

    Si-ying Wang;Fang-bao Tian;Lai-bing Jia;Xi-yun Lu

  • An immersed boundary-lattice Boltzmann method for fluid-structure interaction problems involving viscoelastic fluids and complex geometries

    Jingtao Ma;Zhen Wang;John Young;Joseph C.S. Lai

  • Improving power-extraction efficiency of a flapping plate: From passive deformation to active control

    Fang-Bao Tian;John Young;Joseph C.S. Lai

  • Interaction between a flexible filament and a downstream rigid body.

    Fang-Bao Tian;Fang-Bao Tian;Haoxiang Luo;Luoding Zhu;Xi-Yun Lu

  • Effects of flexibility on the hovering performance of flapping wings with different shapes and aspect ratios

    Aamer Shahzad;Fang-Bao Tian;John Young;Joseph C.S. Lai

  • Effects of wing shape, aspect ratio and deviation angle on aerodynamic performance of flapping wings in hover

    Aamer Shahzad;Fang-Bao Tian;John Young;Joseph C. S. Lai

  • Numerical study on the power extraction performance of a flapping foil with a flexible tail

    J. Wu;C. Shu;N. Zhao;F.-B. Tian

  • AN EFFICIENT RED BLOOD CELL MODEL IN THE FRAME OF IB-LBM AND ITS APPLICATION

    Yuan-Qing Xu;Fang-Bao Tian;Yu-Lin Deng

  • A numerical study of fish adaption behaviors in complex environments with a deep reinforcement learning and immersed boundary-lattice Boltzmann method.

    Yi Zhu;Fang-Bao Tian;John Young;James C. Liao

  • Effects of pitching motion profile on energy harvesting performance of a semi-active flapping foil using immersed boundary method

    Weizhong Li;Wen-Quan Wang;Yan Yan;Fang-Bao Tian

  • Effects of hawkmoth-like flexibility on the aerodynamic performance of flapping wings with different shapes and aspect ratios

    Aamer Shahzad;Aamer Shahzad;Fang-Bao Tian;John Young;Joseph C. S. Lai

Frequent Co-Authors

John Young
John Young University of New South Wales
Joseph C. S. Lai
Joseph C. S. Lai University of New South Wales
Xi-Yun Lu
Xi-Yun Lu University of Science and Technology of China
Klaus Regenauer-Lieb
Klaus Regenauer-Lieb University of New South Wales
James C. Liao
James C. Liao University of Florida
Chang Shu
Chang Shu National University of Singapore
Hyung Jin Sung
Hyung Jin Sung Korea Advanced Institute of Science and Technology
Tapabrata Ray
Tapabrata Ray University of New South Wales
Wei-Xi Huang
Wei-Xi Huang Tsinghua University
Lucian Dascalescu
Lucian Dascalescu University of Poitiers

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