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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mechanical and Aerospace Engineering 35 2616 2451 114 108 202 6875

Fue-Sang Lien publications per year

The chart shows the history of publications by Fue-Sang Lien between 1984 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Fue-Sang Lien published across 42 years, from 1984 to 2025, averaging 5.2 papers a year. Output peaked at 17 publications in 2023. 13 of the 218 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1984 to 2025. Vertical axis: number of publications, 0 to 17. Peak 17 publications in 2023. 1984: 1 publication 1985: 4 publications 1986: 6 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 2 publications 1991: 1 publication 1992: 1 publication 1993: 4 publications 1994: 5 publications 1995: 1 publication 1996: 7 publications 1997: 3 publications 1998: 3 publications 1999: 1 publication 2000: 2 publications 2001: 5 publications 2002: 2 publications 2003: 2 publications 2004: 7 publications 2005: 7 publications 2006: 10 publications 2007: 11 publications 2008: 6 publications 2009: 10 publications 2010: 10 publications 2011: 3 publications 2012: 6 publications 2013: 4 publications 2014: 6 publications 2015: 9 publications 2016: 4 publications 2017: 7 publications 2018: 6 publications 2019: 8 publications 2020: 2 publications 2021: 8 publications 2022: 14 publications 2023: 17 publications 2024: 7 publications 2025: 6 publications
1984 2025

218 publications in total across all disciplines

View publications per year as a table
Fue-Sang Lien: publications per year, 1984 to 2025
Year Publications
1984 1
1985 4
1986 6
1987 0
1988 0
1989 0
1990 2
1991 1
1992 1
1993 4
1994 5
1995 1
1996 7
1997 3
1998 3
1999 1
2000 2
2001 5
2002 2
2003 2
2004 7
2005 7
2006 10
2007 11
2008 6
2009 10
2010 10
2011 3
2012 6
2013 4
2014 6
2015 9
2016 4
2017 7
2018 6
2019 8
2020 2
2021 8
2022 14
2023 17
2024 7
2025 6
Total 218
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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.

No. of scientists
50 100 150
Bar chart with 63 bars. Horizontal axis: publications, 47–56 to 659+. Vertical axis: number of scientists, 0 to 155. Most scientists, 155, have 147–156 publications. The last bar groups every scientist with 659 publications or more. The highlighted bar, 197–206 publications, is where this scientist sits. 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
47–56 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.

View publications distribution as a table
Number of Mechanical and Aerospace Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
Publications Scientists This scientist
47–56 10
57–66 23
67–76 32
77–86 62
87–96 67
97–106 91
107–116 113
117–126 115
127–136 130
137–146 140
147–156 155
157–166 132
167–176 133
177–186 130
187–196 140
197–206 115 202
207–216 125
217–226 117
227–236 99
237–246 92
247–256 100
257–266 95
267–276 88
277–286 77
287–296 74
297–306 74
307–316 62
317–326 70
327–336 59
337–346 58
347–356 45
357–366 44
367–376 36
377–386 41
387–396 32
397–406 23
407–416 28
417–426 27
427–436 25
437–446 23
447–456 23
457–466 20
467–476 12
477–486 24
487–496 18
497–506 12
507–516 13
517–526 21
527–536 12
537–546 8
547–556 16
557–566 3
567–576 11
577–586 6
587–596 5
597–606 6
607–616 7
617–626 7
627–636 10
637–646 4
647–656 3
657–658 2
659+ 100
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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.

No. of scientists
50 100 150
Bar chart with 64 bars. Horizontal axis: D-Index, 30 to 93+. Vertical axis: number of scientists, 0 to 189. Most scientists, 189, have 34 D-Index. The last bar groups every scientist with 93 D-Index or more. The highlighted bar, 35 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Mechanical and Aerospace Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 3,445 ranked scientists.
D-Index Scientists This scientist
30 83
31 113
32 144
33 153
34 189
35 158 35
36 139
37 127
38 130
39 126
40 104
41 100
42 107
43 101
44 103
45 79
46 88
47 70
48 83
49 44
50 64
51 56
52 50
53 48
54 58
55 52
56 48
57 42
58 34
59 42
60 37
61 42
62 44
63 22
64 33
65 29
66 23
67 29
68 24
69 19
70 34
71 26
72 19
73 18
74 19
75 14
76 19
77 8
78 18
79 16
80 12
81 17
82 11
83 16
84 7
85 9
86 8
87 6
88 6
89 7
90 10
91 4
92 4
93+ 100
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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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