D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mechanical and Aerospace Engineering D-index 44 Citations 7,926 222 World Ranking 870 National Ranking 73

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 Lian-Ping Wang is best known for:

  • Turbulence
  • Reynolds number
  • Particle-laden flows

His work in Relative velocity addresses subjects such as Classical mechanics, which are connected to disciplines such as Inertia. In his work, he performs multidisciplinary research in Inertia and Classical mechanics. Many of his studies involve connections with topics such as Turbulence kinetic energy and Mechanics. While working in this field, Lian-Ping Wang studies both Turbulence kinetic energy and Taylor microscale. With his scientific publications, his incorporates both Turbulence and Large eddy simulation. In his articles, he combines various disciplines, including Large eddy simulation and Turbulence. He merges Statistical physics with Quantum mechanics in his study. Lian-Ping Wang performs integrative Quantum mechanics and Statistical physics research in his work. He integrates Reynolds number and Particle-laden flows in his research.

His most cited work include:

  • Settling velocity and concentration distribution of heavy particles in homogeneous isotropic turbulence (819 citations)
  • Growth of Cloud Droplets in a Turbulent Environment (304 citations)
  • Statistical mechanical description and modelling of turbulent collision of inertial particles (278 citations)

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

As part of his inquiry into Direct numerical simulation and Stokes number, Lian-Ping Wang is doing Reynolds number research. His research on Turbulence frequently connects to adjacent areas such as Stokes number. His work often combines Classical mechanics and Quantum mechanics studies. Borrowing concepts from Statistical physics, he weaves in ideas under Quantum mechanics. Lian-Ping Wang performs multidisciplinary study in Statistical physics and Thermodynamics in his work. He integrates Thermodynamics and Classical mechanics in his studies. Lian-Ping Wang conducts interdisciplinary study in the fields of Lattice Boltzmann methods and Reynolds number through his research. His multidisciplinary approach integrates Geometry and Mechanics in his work. His Computer security research extends to the thematically linked field of Collision.

Lian-Ping Wang most often published in these fields:

  • Mechanics (86.61%)
  • Turbulence (65.35%)
  • Classical mechanics (49.61%)

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)

1090 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)

390 Citations

Growth of Cloud Droplets in a Turbulent Environment

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

370 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)

262 Citations

Dispersion of heavy particles by turbulent motion

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

238 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)

234 Citations

Simulations of dispersed turbulent multiphase flow

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

181 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)

180 Citations

Modelling turbulent collision of bidisperse inertial particles

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

168 Citations

Retention and Transport of Silica Nanoparticles in Saturated Porous Media: Effect of Concentration and Particle Size

Chao Wang;Aparna Devi Bobba;Ramesh Attinti;Chongyang Shen.
Environmental Science & Technology (2012)

165 Citations

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