World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
35
Citations
6875
World Ranking
2616
National Ranking
114

Fue-Sang Lien 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 Fue-Sang Lien 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: 202 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Fue-Sang Lien 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 Fue-Sang Lien 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

Fue-Sang Lien is affiliated with the University of Waterloo in Canada and contributes to research primarily in the field of Engineering with a focus on computational and mechanical aspects. The scientist's work covers a range of subfields including Computational Mechanics, Environmental Engineering, Control and Systems Engineering, Aerospace Engineering, and Mechanical Engineering.

The research topics addressed by Fue-Sang Lien focus on several areas within fluid dynamics and related disciplines. Key topics include:

  • Fluid Dynamics and Vibration Analysis
  • Wind and Air Flow Studies
  • Fluid Dynamics and Turbulent Flows
  • Vibration and Dynamic Analysis
  • Aerodynamics and Fluid Dynamics Research
  • Model Reduction and Neural Networks
  • Heat Transfer Mechanisms

Recent publications demonstrate a strong emphasis on thermal-hydraulic performance, turbulence modeling, and fluid flow analysis in various engineering systems. Representative papers include:

  • Thermal-hydraulic performance in a tube with punched delta winglets inserts in turbulent flow, 2021, International Journal of Thermal Sciences
  • Deep structured neural networks for turbulence closure modeling, 2022, Physics of Fluids
  • Heat transfer performance of internal flow by inserting punched and non-punched vortex generators, 2023, International Journal of Thermal Sciences
  • A Comparative study on thermo-hydraulic performance in a tube with different punched winglets, 2022, International Journal of Thermal Sciences
  • GPU-accelerated smoothed particle hydrodynamics modeling of jet formation and penetration capability of shaped charges, 2020, Journal of Fluids and Structures

Throughout the career, Fue-Sang Lien has frequently published in well-recognized venues including:

  • Physics of Fluids
  • arXiv (Cornell University)
  • International Journal of Thermal Sciences
  • Energies
  • Journal of Fluid Mechanics

The scientist has collaborated extensively with a number of coauthors, with most frequent collaborations involving:

  • Eugene Yee
  • Ryley McConkey
  • Zhi Cheng
  • Guang Chen
  • Earl H. Dowell

Best Publications

  • Assessment of turbulence-transport models including non-linear rng eddy-viscosity formulation and second-moment closure for flow over a backward-facing step

    F.S Lien;M.A Leschziner

  • Low-Reynolds-Number Eddy-Viscosity Modelling Based on Non-Linear Stress-Strain/Vorticity Relations

    F.S. Lien;W.L. Chen;M.A. Leschziner

  • Numerical predictions of low Reynolds number flows over two tandem circular cylinders

    Bruce Sharman;FS Lien;Lars Davidson;Christoffer Norberg

  • Computations of transonic flow with the v2–f turbulence model

    Fue-Sang Lien;Georgi Kalitzin

  • Upstream monotonic interpolation for scalar transport with application to complex turbulent flows

    F. S. Lien;M. A. Leschziner

  • A comparison of large Eddy simulations with a standard k–ε Reynolds-averaged Navier–Stokes model for the prediction of a fully developed turbulent flow over a matrix of cubes

    Y. Cheng;F.S. Lien;E. Yee;R. Sinclair

  • A general non-orthogonal collocated finite volume algorithm for turbulent flow at all speeds incorporating second-moment turbulence-transport closure, Part 1: Computational implementation

    F.S Lien;M.A Leschziner

  • A Fully Conservative Second-Order Finite Difference Scheme for Incompressible Flow on Nonuniform Grids

    F.E. Ham;F.S. Lien;A.B. Strong

  • Numerical Modelling of the Turbulent Flow Developing Within and Over a 3-D Building Array, Part I: A High-Resolution Reynolds-Averaged Navier Stokes Approach

    Fue-Sang Lien;Eugene Yee

  • Pitch angle control for a small-scale Darrieus vertical axis wind turbine with straight blades (H-Type VAWT)

    Gebreel Abdalrahman;William Melek;Fue-Sang Lien

  • Short-term wind speed and power forecasting using an ensemble of mixture density neural networks

    Zhongxian Men;Eugene Yee;Eugene Yee;Fue-Sang Lien;Deyong Wen

  • A MULTIBLOCK IMPLEMENTATION OF A NON‐ORTHOGONAL, COLLOCATED FINITE VOLUME ALGORITHM FOR COMPLEX TURBULENT FLOWS

    F. S. Lien;W. L. Chen;M. A. Leschziner

  • A Cartesian Grid Method with Transient Anisotropic Adaptation

    F.E. Ham;F.S. Lien;A.B. Strong

  • Bayesian inversion of concentration data: Source reconstruction in the adjoint representation of atmospheric diffusion

    Eugene Yee;Fue-Sang Lien;Andrew Keats;Réal D’Amours

  • A Pressure-Velocity Solution Strategy for Compressible Flow and Its Application to Shock/Boundary-Layer Interaction Using Second-Moment Turbulence Closure

    F.-S. Lien;M. A. Leschziner

  • NUMERICAL MODELLING OF THE TURBULENT FLOW DEVELOPING WITHIN AND OVER A 3-D BUILDING ARRAY, PART II: A MATHEMATICAL FOUNDATION FOR A DISTRIBUTED DRAG FORCE APPROACH

    Fue-sang Lien;Eugene Yee;John D. Wilson

  • Numerical modeling of buoyancy-driven turbulent flows in enclosures

    K.J. Hsieh;F.S. Lien

  • Simulation of mean flow and turbulence over a 2D building array using high-resolution CFD and a distributed drag force approach

    F.S. Lien;E. Yee;Y. Cheng

  • A pressure‐based unstructured grid method for all‐speed flows

    Fue-Sang Lien

  • Elastic actuator line modelling for wake-induced fatigue analysis of horizontal axis wind turbine blade

    Hang Meng;Hang Meng;Fue-Sang Lien;Li Li

  • Numerical modeling of passive scalar dispersion in an urban canopy layer

    Kun-Jung Hsieh;Fue-Sang Lien;Eugene Yee

  • Multigrid acceleration for recirculating laminar and turbulent flows computed with a non-orthogonal, collocated finite-volume scheme

    F.S. Lien;M.A. Leschziner

  • MODELLING 2D SEPARATION FROM A HIGH LIFT AEROFOIL WITH A NON-LINEAR EDDY-VISCOSITY MODEL AND SECOND-MOMENT CLOSURE

    F S Lien;M A Leschziner

Frequent Co-Authors

Michael A. Leschziner
Michael A. Leschziner Imperial College London
Cha'o-Kuang Chen
Cha'o-Kuang Chen National Cheng Kung University
Yue Huang
Yue Huang Xiamen University
Johan Larsson
Johan Larsson University of Maryland, College Park
M. Michael Yovanovich
M. Michael Yovanovich University of Waterloo
Lars Davidson
Lars Davidson Chalmers University of Technology
Brian Launder
Brian Launder University of Manchester
Neil D. Sandham
Neil D. Sandham University of Southampton
Peter Stansby
Peter Stansby University of Manchester
John D. Wilson
John D. Wilson University of Alberta

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