What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Organic chemistry
- Oxygen
His main research concerns Nanotechnology, Chemical engineering, Nanostructure, Inorganic chemistry and Nanocrystal.
His Nanotechnology research includes elements of Alloy, Dispersity and Nanocages.
His Chemical engineering research incorporates themes from Phase, Lithium and Shell.
While the research belongs to areas of Nanostructure, Xun Wang spends his time largely on the problem of Nanoscopic scale, intersecting his research to questions surrounding Well-defined.
The study incorporates disciplines such as Hydrothermal synthesis, Hydrothermal circulation, Catalysis and Silicate in addition to Inorganic chemistry.
His Nanocrystal research includes themes of Iron oxide, Hematite, Anode and Metal.
His most cited work include:
- A general strategy for nanocrystal synthesis (2134 citations)
- Monodisperse magnetic single-crystal ferrite microspheres. (1593 citations)
- Nearly Monodisperse Cu2O and CuO Nanospheres: Preparation and Applications for Sensitive Gas Sensors (929 citations)
What are the main themes of his work throughout his whole career to date?
Nanotechnology, Chemical engineering, Catalysis, Artificial intelligence and Nanocrystal are his primary areas of study.
His Hydrothermal circulation research extends to the thematically linked field of Nanotechnology.
He is involved in the study of Chemical engineering that focuses on Nanorod in particular.
In most of his Catalysis studies, his work intersects topics such as Inorganic chemistry.
Xun Wang interconnects Machine learning, Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.
His Nanocrystal study frequently links to related topics such as Dispersity.
He most often published in these fields:
- Nanotechnology (27.24%)
- Chemical engineering (18.27%)
- Catalysis (13.03%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (12.35%)
- Chemical engineering (18.27%)
- Environmental chemistry (9.31%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Chemical engineering, Environmental chemistry, Mercury and Nanotechnology.
He has researched Artificial intelligence in several fields, including Machine learning, Computer vision and Pattern recognition.
His Chemical engineering study incorporates themes from Heterojunction, van der Waals force, Catalysis and Metal.
The various areas that he examines in his Environmental chemistry study include Plant litter, Forest ecology, Vegetation, Atmospheric mercury and Pollution.
Nanotechnology and Noble metal are commonly linked in his work.
His research in Nanomaterials intersects with topics in Bridging and Multidisciplinary approach.
Between 2019 and 2021, his most popular works were:
- An Efficient Cobalt Phosphide Electrocatalyst Derived from Cobalt Phosphonate Complex for All-pH Hydrogen Evolution Reaction and Overall Water Splitting in Alkaline Solution. (47 citations)
- Atomic-Level Nanorings (A-NRs) Therapeutic Agent for Photoacoustic Imaging and Photothermal/Photodynamic Therapy of Cancer. (33 citations)
- Heterostructural CsPbX3-PbS (X = Cl, Br, I) Quantum Dots with Tunable Vis-NIR Dual Emission. (22 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Organic chemistry
- Oxygen
Xun Wang spends much of his time researching Chemical engineering, Mercury, Catalysis, Leak and Transient.
Xun Wang works in the field of Chemical engineering, focusing on Fuel cells in particular.
His study in Mercury is interdisciplinary in nature, drawing from both Environmental chemistry, Forest ecology and Pollution.
His Catalysis research integrates issues from Well-defined, Reduction, Metal, Oxygen reduction reaction and Pyrolysis.
His Leak research is multidisciplinary, incorporating perspectives in Magnitude, Prior information, Range, Algorithm and Pipe network analysis.
His Transient study combines topics in areas such as Scattering, Superposition principle, Wave propagation, Node and Boundary.
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