What is he best known for?
The fields of study he is best known for:
- Mechanical engineering
- Composite material
- Artificial intelligence
His main research concerns Nanotechnology, Composite material, Superlubricity, Engineering drawing and Simulation.
His Nanotechnology research incorporates elements of Normal force, Volume and Diamond tool.
Hui Wang integrates Composite material with Molecular dynamics in his research.
He interconnects Fixture, Variety and Machining in the investigation of issues within Engineering drawing.
His biological study spans a wide range of topics, including Automotive industry, Binary entropy function, Task and Inventory control.
His work is dedicated to discovering how Graphene, Relative humidity are connected with Asperity and other disciplines.
His most cited work include:
- Antimicrobial effects of metal ions (Ag+, Cu2+, Zn2+) in hydroxyapatite. (367 citations)
- Product variety and manufacturing complexity in assembly systems and supply chains (252 citations)
- Robust microscale superlubricity under high contact pressure enabled by graphene-coated microsphere. (122 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Mechanical engineering, Machining, Optics, Nanotechnology and Finite element method.
The concepts of his Mechanical engineering study are interwoven with issues in Structural engineering and Metrology.
Hui Wang has included themes like Fixture, Engineering drawing and Machine tool in his Machining study.
His work deals with themes such as Jet engine, Root cause and Identification, which intersect with Fixture.
His study connects Composite material and Nanotechnology.
His study in Laser is interdisciplinary in nature, drawing from both Power and Wavefront.
He most often published in these fields:
- Mechanical engineering (14.29%)
- Machining (13.33%)
- Optics (9.05%)
What were the highlights of his more recent work (between 2018-2021)?
- Mechanical engineering (14.29%)
- Finite element method (8.57%)
- Machining (13.33%)
In recent papers he was focusing on the following fields of study:
Hui Wang mostly deals with Mechanical engineering, Finite element method, Machining, Clamping and Blade.
His study on Numerical control and Mechanism is often connected to Offset as part of broader study in Mechanical engineering.
In his study, which falls under the umbrella issue of Finite element method, Compression is strongly linked to Surface integrity.
As a member of one scientific family, Hui Wang mostly works in the field of Machining, focusing on Fixture and, on occasion, Jet engine.
He usually deals with Clamping and limits it to topics linked to Mortise and tenon and System model and Forging.
His Blade study combines topics in areas such as Aero engine and Machine tool.
Between 2018 and 2021, his most popular works were:
- Effects of grain boundary on wear of graphene at the nanoscale: A molecular dynamics study (20 citations)
- Holistic tactical-level planning in liner shipping: an exact optimization approach (12 citations)
- Machining fixture for adaptive CNC machining process of near-net-shaped jet engine blade (10 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Composite material
- Artificial intelligence
Hui Wang focuses on Finite element method, Clamping, Deformation, Composite material and Biodegradation.
His Finite element method study incorporates themes from Acoustics, Inertial confinement fusion and Interferometry.
The study incorporates disciplines such as Fixture, Numerical control, Machining and Laser in addition to Clamping.
His work carried out in the field of Fixture brings together such families of science as Deformation, Jet engine, Blade and Cutting force.
The various areas that Hui Wang examines in his Composite material study include Graphene and Sensitivity.
His Biodegradation study also includes fields such as
- Bamboo which connect with Cellulosic ethanol, Lignin, Chemical engineering and Cellulose,
- Polycyclic aromatic hydrocarbon, which have a strong connection to Phenanthrene.
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