What is he best known for?
The fields of study he is best known for:
- Composite material
- Structural engineering
- Statistics
Hui Li mainly focuses on Composite material, Structural health monitoring, Structural engineering, Vibration and Ultimate tensile strength.
His work in Epoxy, Composite number, Flexural strength, Cement and Compressive strength are all subfields of Composite material research.
Hui Li has researched Structural health monitoring in several fields, including Algorithm, Artificial intelligence, Compressed sensing and Electronic engineering.
His Structural engineering study combines topics in areas such as Geotechnical engineering, Wind speed and Corrosion.
Hui Li has included themes like Flow control, Mechanics, Vortex shedding, Aerodynamic force and Stiffness in his Vibration study.
Hui Li combines subjects such as Beam, Shear strength and Absorption of water with his study of Ultimate tensile strength.
His most cited work include:
- Microstructure of cement mortar with nano-particles (769 citations)
- A study on mechanical and pressure-sensitive properties of cement mortar with nanophase materials (336 citations)
- Abrasion resistance of concrete containing nano-particles for pavement (319 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Structural engineering, Composite material, Structural health monitoring, Vibration and Mechanics.
Hui Li studied Structural engineering and Shape-memory alloy that intersect with SMA*.
His Epoxy, Ultimate tensile strength, Composite number, Fibre-reinforced plastic and Cement study are his primary interests in Composite material.
The Structural health monitoring study combines topics in areas such as Modal, Data mining and Algorithm, Artificial intelligence, Compressed sensing.
His Vibration study frequently links to adjacent areas such as Wind tunnel.
His Mechanics study often links to related topics such as Cylinder.
He most often published in these fields:
- Structural engineering (32.05%)
- Composite material (21.65%)
- Structural health monitoring (14.96%)
What were the highlights of his more recent work (between 2017-2021)?
- Structural engineering (32.05%)
- Mechanics (8.69%)
- Composite material (21.65%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Structural engineering, Mechanics, Composite material, Structural health monitoring and Vibration.
His research on Structural engineering often connects related topics like Weibull distribution.
Composite material is represented through his Pultrusion, Microstructure, Fibre-reinforced plastic, Cement and Fiber research.
His biological study spans a wide range of topics, including Data mining, Missing data and Artificial intelligence, Compressed sensing.
The Artificial intelligence study which covers Identification that intersects with Convolutional neural network.
His Vibration study combines topics from a wide range of disciplines, such as Wind speed and Aeroelasticity.
Between 2017 and 2021, his most popular works were:
- Double-negative-index ceramic aerogels for thermal superinsulation (110 citations)
- Computer vision and deep learning–based data anomaly detection method for structural health monitoring: (81 citations)
- Prediction model of velocity field around circular cylinder over various Reynolds numbers by fusion convolutional neural networks based on pressure on the cylinder (71 citations)
In his most recent research, the most cited papers focused on:
- Composite material
- Structural engineering
- Artificial intelligence
Hui Li mostly deals with Structural engineering, Composite material, Structural health monitoring, Identification and Artificial intelligence.
His research in Structural engineering intersects with topics in Stress, Weibull distribution and Dissipation.
His study in Cement, Epoxy, Microstructure, Fiber and Fibre-reinforced plastic falls within the category of Composite material.
His Structural health monitoring research is multidisciplinary, incorporating elements of Acoustics, Ultrasonic sensor, Missing data and Compressed sensing.
The study incorporates disciplines such as Girder and Convolutional neural network in addition to Identification.
His Artificial intelligence research includes themes of Process and Pattern recognition.
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