Leaderboards/Fluid Dynamics and Vibration Analysis

Fluid Dynamics and Vibration Analysis

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Sifan Wang
APT Foundation
2
Stefania Fresca
University of Washington
3
Pu Ren
Northeastern University
4
Han Gao
University of Notre Dame
5
Liangkun Wang
Tongji University
6
Chen Cheng
Taiyuan University of Technology
7
Shukai Gong
Jiangsu University of Science and Technology
8
Xumin Guo
Northeastern University
9
Paolo Conti
Politecnico di Milano
10
Alan A. Kaptanoglu
Courant Institute of Mathematical Sciences

Rising Stars Papers

1
Respecting causality for training physics-informed neural networks
Computer Methods in Applied Mechanics and Engineering|2024
269 cit.
2
Hydrodynamics of fluid resonance in a narrow gap between two boxes with different breadths
Ocean Engineering|2024
107 cit.
3
Random crowd-induced vibration in footbridge and adaptive control using semi-active TMD including crowd-structure interaction
Engineering Structures|2024
84 cit.
4
Effects of floater motion on wave loads during steady-state gap resonance occurring between two non-identical boxes
Ocean Engineering|2025
80 cit.
5
Nonlinear vibration of rotor-bearing system considering base-motion and bearing-misalignment
Mechanism and Machine Theory|2025
68 cit.
6
Multi-fidelity reduced-order surrogate modelling
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences|2024
41 cit.
7
Vibration transmission characteristics analysis of a flexible casing-multiple pipes system
Mechanical Systems and Signal Processing|2024
39 cit.
8
Through crack effects on the vibration modes of thin discs with elastic support
Thin-Walled Structures|2025
19 cit.
9
Seismic response control of tall building using semi-active tuned mass damper considering soil-structure interaction
Soil Dynamics and Earthquake Engineering|2024
15 cit.
10
Bi-directional adaptive eddy current pendulum tuned mass damper for structural nonlinear seismic response control
Journal of Building Engineering|2024
13 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Paris Perdikaris
University of Pennsylvania
2
Shengxi Zhou
Northwestern Polytechnical University
3
Ole Øiseth
Norwegian University of Science and Technology
4
Lin Ding
Chongqing University
5
Binzhen Zhou
South China University of Technology
6
ZhiWei Duan
Tsinghua University
7
Donglai Gao
Harbin Institute of Technology
8
Stefano Ubbiali
ETH Zurich
9
Rafael Mudafort
Gelre Hospitals
10
Saishuai Dai
University of Strathclyde

Emerging Leaders Papers

1
Respecting causality for training physics-informed neural networks
Computer Methods in Applied Mechanics and Engineering|2024
269 cit.
2
Multistable vibration energy harvesters: Principle, progress, and perspectives
Journal of Sound and Vibration|2022
238 cit.
3
Self-powered and self-sensing devices based on human motion
Joule|2022
225 cit.
4
A foundation model for the Earth system
Nature|2025
132 cit.
5
Power performance and motion response of a floating wind platform and multiple heaving wave energy converters hybrid system
Energy|2022
126 cit.
6
Improved Architectures and Training Algorithms for Deep Operator Networks
Journal of Scientific Computing|2022
118 cit.
7
Long-time integration of parametric evolution equations with physics-informed DeepONets
Journal of Computational Physics|2022
114 cit.
8
Review of active control of circular cylinder flow
Ocean Engineering|2022
101 cit.
9
Dynamic modeling and analysis of a tristable vortex-induced vibration energy harvester
Mechanical Systems and Signal Processing|2022
82 cit.
10
Theoretical and experimental investigation on the advantages of auxetic nonlinear vortex-induced vibration energy harvesting
Applied Energy|2023
80 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Fazle Hussain
Texas Tech University
2
Parviz Moin
Flow Analysis (United States)
3
Li‐Shi Luo
Old Dominion University
4
George Em Karniadakis
John Brown University
5
Michael P. Paı̈doussis
McGill University
6
Dan S. Henningson
KTH Royal Institute of Technology
7
Thomas J.R. Hughes
The University of Texas at Austin
8
Robert Moser
The University of Texas at Austin
9
R.P. Chhabra
Indian Institute of Technology Kanpur
10
Christer Fureby
Lund University

Current Senior Leaders Papers

1
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Journal of Computational Physics|2018
16.9k cit.
2
On the identification of a vortex
Journal of Fluid Mechanics|1995
6.3k cit.
3
Isogeometric analysis: CAD, finite elements, NURBS, exact geometry and mesh refinement
Computer Methods in Applied Mechanics and Engineering|2005
6.2k cit.
4
Streamline upwind/Petrov-Galerkin formulations for convection dominated flows with particular emphasis on the incompressible Navier-Stokes equations
Computer Methods in Applied Mechanics and Engineering|1982
5.3k cit.
5
A tensorial approach to computational continuum mechanics using object-oriented techniques
Computers in Physics|1998
5.3k cit.
6
Turbulence statistics in fully developed channel flow at low Reynolds number
Journal of Fluid Mechanics|1987
4.8k cit.
7
The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
SIAM Journal on Scientific Computing|2002
4.7k cit.
8
Application of a fractional-step method to incompressible Navier-Stokes equations
Journal of Computational Physics|1985
3k cit.
9
Direct numerical simulation of turbulent channel flow up to Reτ=590
Physics of Fluids|1999
2.6k cit.
10
Spectral analysis of nonlinear flows
Journal of Fluid Mechanics|2009
2.3k cit.

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