What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Composite material
- Statistics
Composite material, Mathematical optimization, Nanotechnology, Nanoindentation and Internal medicine are his primary areas of study.
His research ties Chemical vapor deposition and Composite material together.
His Mathematical optimization study which covers Algorithm that intersects with Genetic algorithm.
Xiaodong Li has researched Nanotechnology in several fields, including Supercapacitor, Capacitance and Oxide.
His Nanoindentation study integrates concerns from other disciplines, such as Indentation, Amorphous carbon and Elastic modulus.
His work carried out in the field of Internal medicine brings together such families of science as Sclerostin and Endocrinology.
His most cited work include:
- Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review (1547 citations)
- A Review of Nanoindentation Continuous Stiffness Measurement Technique and Its Applications (1091 citations)
- Freestanding three-dimensional graphene/MnO2 composite networks as ultralight and flexible supercapacitor electrodes. (1051 citations)
What are the main themes of his work throughout his whole career to date?
Xiaodong Li mainly focuses on Composite material, Mathematical optimization, Chemical engineering, Nanotechnology and Artificial intelligence.
His Nanoindentation, Elastic modulus, Composite number, Indentation and Deformation investigations are all subjects of Composite material research.
His study in Evolutionary algorithm, Evolutionary computation, Multi-objective optimization, Particle swarm optimization and Optimization problem is carried out as part of his studies in Mathematical optimization.
He does research in Particle swarm optimization, focusing on Multi-swarm optimization specifically.
His Nanotechnology study frequently draws connections to adjacent fields such as Supercapacitor.
His studies deal with areas such as Machine learning and Pattern recognition as well as Artificial intelligence.
He most often published in these fields:
- Composite material (14.09%)
- Mathematical optimization (12.09%)
- Chemical engineering (11.09%)
What were the highlights of his more recent work (between 2018-2021)?
- Chemical engineering (11.09%)
- Optoelectronics (4.93%)
- Composite material (14.09%)
In recent papers he was focusing on the following fields of study:
Xiaodong Li mostly deals with Chemical engineering, Optoelectronics, Composite material, Graphene and Composite number.
His study in Chemical engineering is interdisciplinary in nature, drawing from both Carbon, Anode, Lithium and Electrochemistry.
His study in Digital image correlation and Compression falls within the category of Composite material.
His Graphene study frequently links to related topics such as Oxide.
Between 2018 and 2021, his most popular works were:
- An overview of residual stresses in metal powder bed fusion (88 citations)
- A Survey on Cooperative Co-Evolutionary Algorithms (53 citations)
- B4C nanoskeleton enabled, flexible lithium-sulfur batteries (37 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Composite material
- Statistics
His main research concerns Chemical engineering, Optoelectronics, Carbon, Perovskite and Graphene.
His Chemical engineering research is multidisciplinary, incorporating elements of Battery, Anode, Ion, Lithium and Electrochemistry.
His study in the field of Light-emitting diode also crosses realms of Optical power.
The study incorporates disciplines such as Cathode and Electrocatalyst in addition to Carbon.
His Perovskite research is multidisciplinary, relying on both Grain boundary and Energy conversion efficiency.
His Graphene research is multidisciplinary, incorporating perspectives in Composite number, Composite material and Oxide.
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