World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
33
Citations
4091
World Ranking
3040
National Ranking
1041

Feng Liu 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 Feng Liu 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: 272 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Feng Liu 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 Feng Liu 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: 33 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

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

Overview

Feng Liu is affiliated with the University of California, Irvine in the United States. Their research focuses primarily within the field of Engineering, with a specialization in Aerospace Engineering, Computational Mechanics, and Mechanical Engineering. They also work in interdisciplinary areas such as Materials Chemistry and Radiology, Nuclear Medicine and Imaging.

Their contributions span multiple research topics related to fluid dynamics and aerodynamics, particularly emphasizing computational fluid dynamics, plasma and flow control in aerodynamics, and turbulent flows. Their work also covers plasma applications and diagnostics, turbomachinery performance and optimization, as well as combustion and flame dynamics.

Feng Liu has published extensively, with notable papers including:

  • Vortices Induced by a Dielectric Barrier Discharge Plasma Actuator Under Burst-Mode Actuation, 2020, AIAA Journal
  • Robust design optimization considering inlet flow angle variations of a turbine cascade, 2021, Aerospace Science and Technology
  • Effect of vanadium microalloying on the deformation behavior and strain hardening of a medium Mn steel, 2025, International Journal of Plasticity
  • Numerical simulation of the flow around a square cylinder under plasma actuator control, 2021, Physics of Fluids
  • New steam turbine operational mode for a gas turbine combine cycle bottoming cycle system, 2021, Applied Thermal Engineering

Frequent publication venues for Liu include:

  • Physics of Fluids
  • AIAA Journal
  • Default Digital Object Group
  • Aerospace Science and Technology
  • SSRN Electronic Journal

Collaborations are notable with a number of recurring co-authors, including:

  • Xuanshi Meng
  • Jiaqi Luo
  • Weiwei Hui
  • Huanxing Li
  • William A. Sirignano

Feng Liu's publication output consists of over one hundred contributions in engineering, with more than thirty papers in aerospace engineering and computational mechanics, and over twenty in mechanical engineering. Their research integrates experimental and numerical approaches to tackle challenges in plasma flow control and turbomachinery design.

Best Publications

  • A new energy decomposition method: perfect in decomposition and consistent in aggregation

    B.W. Ang;F.L. Liu

  • Performance Increases for Gas-Turbine Engines Through Combustion Inside the Turbine

    W. A. Sirignano;F. Liu

  • Calculation of Wing Flutter by a Coupled Fluid-Structure Method

    F. Liu;J. Cai;Y. Zhu;H. M. Tsai

  • Turbojet and Turbofan Engine Performance Increases Through Turbine Burners

    F. Liu;W. A. Sirignano

  • LARGE AMPLITUDE LIQUID SLOSHING IN SEISMICALLY EXCITED TANKS

    W. Chen;M. A. Haroun;F. Liu

  • Comparisons of Three Geometric Representations of Airfoils for Aerodynamic Optimization

    Hsiao-Yuan Wu;Shuchi Yang;Feng Liu;Her-Mann Tsai

  • Supersonic Flutter Analysis Based on a Local Piston Theory

    Wei-Wei Zhang;Zheng-Yin Ye;Chen-An Zhang;Feng Liu

  • A numerical study of transonic buffet on a supercritical airfoil

    Qing Xiao;Her-Mann Tsai;Feng Liu

  • A Strongly Coupled Time-Marching Method for Solving the Navier—Stokes andk-ω Turbulence Model Equations with Multigrid

    Feng Liu;Xiaoqing Zheng

  • Development and Validation of a Massively Parallel Flow Solver for Turbomachinery Flows

    Jixian Yao;Antony Jameson;Juan J. Alonso;Feng Liu

  • A microsatellite-based linkage map of salt tolerant tilapia (Oreochromis mossambicus x Oreochromis spp.) and mapping of sex-determining loci.

    Feng Liu;Fei Sun;Jian Li;Jun Hong Xia

  • Unsteady Flow Calculations with a Parallel Multiblock Moving Mesh Algorithm

    H. M. Tsai;A. S. F. Wong;J. Cai;Y. Zhu

  • An Adaptive Grid Method and Its Application to Steady Euler Flow Calculations

    Feng Liu;Shanhong Ji;Shanhong Ji;Guojun Liao

  • Unsteady flow calculations with a multigrid Navier-Stokes method

    Feng Liu;Shanhong Ji

  • Flow Control over a Conical Forebody Using Duty-Cycled Plasma Actuators

    Feng Liu;Shijun Luo;Chao Gao;Xuanshi Meng

  • Multipoint Design Optimization of a Transonic Compressor Blade by Using an Adjoint Method

    Jiaqi Luo;Chao Zhou;Feng Liu

  • An experimental investigation of refrigerant mixture R32/R290 as drop-in replacement for HFC410A in household air conditioners

    Unknown

  • The universe in a box : thermal effects in the standard cold dark matter scenario

    R. Y. Cen;Jeremiah P. Ostriker;Anthony Jameson;Feng Liu

  • THREE-DIMENSIONAL AERODYNAMIC DESIGN OPTIMIZATION OF A TURBINE BLADE BY USING AN ADJOINT METHOD

    Jiaqi Luo;Juntao Xiong;Feng Liu;Ivan McBean

  • Multigrid Navier-Stokes Calculations for Three-Dimensional Cascades

    Feng Liu;Antony Jameson

  • Determination of pyrrolizidine alkaloids in comfrey by liquid chromatography-electrospray ionization mass spectrometry.

    Feng Liu;Sow Yin Wan;Zhangjian Jiang;Sam Fong Yau Li

  • Optimum Aerodynamic Design of Cascades by Using an Adjoint Equation Method

    Shuchi Yang;Feng Liu

  • Level-Set-Based Deformation Methods for Adaptive Grids

    Guojun Liao;Feng Liu;Gary C. de la Pena;Danping Peng

  • Coupled Fluid-Structure Simulation for Turbomachinery Blade Rows

    M. Sadeghi;Feng Liu

  • Lift improvements using duty-cycled plasma actuation at low Reynolds numbers

    Xuanshi Meng;Haiyang Hu;Xu Yan;Feng Liu

  • Aerodynamic Design of Turbine Blades Using an Adjoint Equation Method

    Hsiao-Yuan Wu;Feng Liu;Her-Mann Tsai

  • A parallel viscous flow solver on multi-block overset grids

    Jinsheng Cai;Her Mann Tsai;Feng Liu

  • Turbulent transition simulation using thek-ω model

    Unknown

  • Stability of symmetric vortices in two dimensions and over three-dimensional slender conical bodies

    Unknown

  • Parallel Computation of Wing Flutter with a Coupled Navier-Stokes/CSD Method

    Mani Sadeghi;Shuchi Yang;Feng Liu;Her Tsai

  • Grid-converged Solution and Analysis of the Unsteady Viscous Flow in a Two-dimensional Shock Tube

    Guangzhao Zhou;Kun Xu;Feng Liu

Frequent Co-Authors

William A. Sirignano
William A. Sirignano University of California, Irvine
Dimitri Papamoschou
Dimitri Papamoschou University of California, Irvine
Sam Fong Yau Li
Sam Fong Yau Li National University of Singapore
Antony Jameson
Antony Jameson Texas A&M University
Qing Xiao
Qing Xiao University of Strathclyde
Mark Christopher Thompson
Mark Christopher Thompson Monash University
Kerry Hourigan
Kerry Hourigan Monash University
Kun Xu
Kun Xu Hong Kong University of Science and Technology
Derek Dunn-Rankin
Derek Dunn-Rankin University of California, Irvine
Juan J. Alonso
Juan J. Alonso Stanford University

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