H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Mechanical and Aerospace Engineering D-index 36 Citations 6,008 140 World Ranking 721 National Ranking 53

Research.com Recognitions

Awards & Achievements

2016 - Fellow of the American Society of Mechanical Engineers

Overview

What is he best known for?

The fields of study he is best known for:

  • Mechanics
  • Turbulence
  • Thermodynamics

Lian-Ping Wang mostly deals with Turbulence, Mechanics, Statistical physics, Direct numerical simulation and Classical mechanics. Lian-Ping Wang regularly links together related areas like Cloud physics in his Turbulence studies. Within one scientific family, Lian-Ping Wang focuses on topics pertaining to Isotropy under Mechanics, and may sometimes address concerns connected to Computer simulation.

His Statistical physics study incorporates themes from Flow, Particle size, Stokes number and Inertia. His research in Classical mechanics intersects with topics in Colloid, Porosity, Probability density function and Maxima and minima. As a part of the same scientific family, Lian-Ping Wang mostly works in the field of Drag, focusing on Relative velocity and, on occasion, Radius.

His most cited work include:

  • Settling velocity and concentration distribution of heavy particles in homogeneous isotropic turbulence (767 citations)
  • Statistical mechanical description and modelling of turbulent collision of inertial particles (275 citations)
  • Growth of Cloud Droplets in a Turbulent Environment (231 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Mechanics, Turbulence, Lattice Boltzmann methods, Statistical physics and Classical mechanics. Mechanics is closely attributed to Dissipation in his study. As part of his studies on Turbulence, Lian-Ping Wang often connects relevant subjects like Isotropy.

His Lattice Boltzmann methods study also includes

  • Flow that intertwine with fields like Forcing,
  • Mathematical analysis which is related to area like Navier–Stokes equations. His research in Statistical physics tackles topics such as Turbulence modeling which are related to areas like K-omega turbulence model and K-epsilon turbulence model. His study in Classical mechanics is interdisciplinary in nature, drawing from both Stokes flow and Vorticity.

He most often published in these fields:

  • Mechanics (86.15%)
  • Turbulence (75.77%)
  • Lattice Boltzmann methods (34.62%)

What were the highlights of his more recent work (between 2017-2021)?

  • Mechanics (86.15%)
  • Turbulence (75.77%)
  • Lattice Boltzmann methods (34.62%)

In recent papers he was focusing on the following fields of study:

Lian-Ping Wang focuses on Mechanics, Turbulence, Lattice Boltzmann methods, Isotropy and Turbulence kinetic energy. Lian-Ping Wang has included themes like Cylinder, Immersed boundary method and Kinetic scheme in his Mechanics study. His work deals with themes such as Laminar flow, Kinetic energy and Dissipation, which intersect with Turbulence.

Lian-Ping Wang has researched Lattice Boltzmann methods in several fields, including Mathematical analysis, Inverse, Vortex, Statistical physics and Reynolds number. Within one scientific family, he focuses on topics pertaining to Mesoscopic physics under Statistical physics, and may sometimes address concerns connected to Flow. As a part of the same scientific study, Lian-Ping Wang usually deals with the Isotropy, concentrating on Multiphase flow and frequently concerns with Spurious relationship and Point.

Between 2017 and 2021, his most popular works were:

  • Cascades of temperature and entropy fluctuations in compressible turbulence (15 citations)
  • Direct numerical simulation of turbulent pipe flow using the lattice Boltzmann method (15 citations)
  • Direct numerical simulation of turbulent pipe flow using the lattice Boltzmann method (15 citations)

In his most recent research, the most cited papers focused on:

  • Mechanics
  • Fluid dynamics
  • Thermodynamics

Lian-Ping Wang mainly investigates Mechanics, Turbulence, Lattice Boltzmann methods, Turbulence kinetic energy and Immersed boundary method. His Mechanics research is multidisciplinary, incorporating elements of Isotropy and Kinetic scheme. His work carried out in the field of Turbulence brings together such families of science as Solenoidal vector field, Vector field, Compressibility, Cascade and Scaling.

Lian-Ping Wang combines subjects such as Natural convection, Particle-laden flows, Distribution function, Numerical analysis and Particle statistics with his study of Immersed boundary method. In his work, Numerical stability and Intensity is strongly intertwined with Pipe flow, which is a subfield of Reynolds number. His study in Direct numerical simulation focuses on Homogeneous isotropic turbulence in particular.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Settling velocity and concentration distribution of heavy particles in homogeneous isotropic turbulence

Lian-Ping Wang;Martin R. Maxey.
Journal of Fluid Mechanics (1993)

1019 Citations

Statistical mechanical description and modelling of turbulent collision of inertial particles

Lian-Ping Wang;Anthony S. Wexler;Yong Zhou.
Journal of Fluid Mechanics (2000)

373 Citations

Growth of Cloud Droplets in a Turbulent Environment

Wojciech W. Grabowski;Lian Ping Wang.
Annual Review of Fluid Mechanics (2013)

312 Citations

Droplet growth in warm turbulent clouds

B. J. Devenish;P. Bartello;J.‐L. Brenguier;L. R. Collins.
Quarterly Journal of the Royal Meteorological Society (2012)

234 Citations

Dispersion of heavy particles by turbulent motion

Lian-Ping Wang;Davd E. Stock.
Journal of the Atmospheric Sciences (1993)

232 Citations

Examination of hypotheses in the Kolmogorov refined turbulence theory through high-resolution simulations. Part 1. Velocity field

Lian-Ping Wang;Shiyi Chen;James G. Brasseur;John C. Wyngaard.
Journal of Fluid Mechanics (1996)

218 Citations

Effects of turbulence on the geometric collision rate of sedimenting droplets. Part 1. Results from direct numerical simulation

Orlando Ayala;Bogdan Rosa;Lian-Ping Wang;Wojciech W Grabowski.
New Journal of Physics (2008)

172 Citations

Simulations of dispersed turbulent multiphase flow

M.R. Maxey;B.K. Patel;E.J. Chang;L.-P. Wang.
Fluid Dynamics Research (1997)

169 Citations

Modelling turbulent collision of bidisperse inertial particles

Yong Zhou;Anthony S. Wexler;Lian-Ping Wang.
Journal of Fluid Mechanics (2001)

156 Citations

On the collision rate of small particles in isotropic turbulence. II. Finite inertia case

Lian Ping Wang;Anthony S. Wexler;Yong Zhou.
Physics of Fluids (1998)

151 Citations

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