What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Enzyme
- Oxygen
His primary areas of investigation include Nanotechnology, Inorganic chemistry, Chemical engineering, Photochemistry and Titanate.
His research in Nanotechnology intersects with topics in Hydrothermal circulation, Band gap and Laser power scaling.
His Inorganic chemistry research is multidisciplinary, relying on both Photodetector, Electronic structure, Nanomaterials and Chemical physics.
His Chemical engineering research is multidisciplinary, incorporating elements of Photocatalysis, Photoluminescence and Calcination.
His study in Photochemistry is interdisciplinary in nature, drawing from both Nanoparticle, Catalysis and Visible spectrum.
The various areas that Hongwei Liu examines in his Titanate study include Nanofiber, Nanocrystal, Phase and Adsorption.
His most cited work include:
- Synthesis and Characterization of Cobalt Hydroxide, Cobalt Oxyhydroxide, and Cobalt Oxide Nanodiscs (844 citations)
- An Efficient Photocatalyst Structure: TiO2(B) Nanofibers with a Shell of Anatase Nanocrystals (413 citations)
- Enhancing catalytic performance of palladium in gold and palladium alloy nanoparticles for organic synthesis reactions through visible light irradiation at ambient temperatures. (294 citations)
What are the main themes of his work throughout his whole career to date?
Nanotechnology, Combinatorics, Discrete mathematics, Chemical engineering and Crystallography are his primary areas of study.
His work carried out in the field of Combinatorics brings together such families of science as Cyclic code and Hamming code.
Many of his studies on Discrete mathematics involve topics that are commonly interrelated, such as Linear code.
His Chemical engineering study focuses on Nanofiber in particular.
He combines topics linked to Titanate with his work on Nanofiber.
His work in Crystallography tackles topics such as Transmission electron microscopy which are related to areas like Phase.
He most often published in these fields:
- Nanotechnology (9.11%)
- Combinatorics (8.06%)
- Discrete mathematics (8.06%)
What were the highlights of his more recent work (between 2018-2021)?
- Stereochemistry (5.78%)
- Finite field (5.25%)
- Discrete mathematics (8.06%)
In recent papers he was focusing on the following fields of study:
Hongwei Liu focuses on Stereochemistry, Finite field, Discrete mathematics, Quantum key distribution and Telescope.
His research integrates issues of Hepg2 cells, Biosynthesis, Fungus and Cytotoxicity in his study of Stereochemistry.
His Finite field research entails a greater understanding of Combinatorics.
His Dual research extends to Discrete mathematics, which is thematically connected.
Hongwei Liu brings together Quantum key distribution and Reference frame to produce work in his papers.
His work in Telescope addresses issues such as Detector, which are connected to fields such as Energy and Modulation.
Between 2018 and 2021, his most popular works were:
- Parabacteroides distasonis Alleviates Obesity and Metabolic Dysfunctions via Production of Succinate and Secondary Bile Acids (152 citations)
- Observation of hydrogen trapping at dislocations, grain boundaries, and precipitates (65 citations)
- Defect-Induced Pt-Co-Se Coordinated Sites with Highly Asymmetrical Electronic Distribution for Boosting Oxygen-Involving Electrocatalysis (54 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Enzyme
- Oxygen
Hongwei Liu spends much of his time researching Discrete mathematics, Finite field, Reference frame, Key and Quantum key distribution.
In his research on the topic of Discrete mathematics, Prime power and Cardinality is strongly related with Dual.
Combinatorics covers Hongwei Liu research in Finite field.
Hongwei Liu has included themes like Root and Ternary Golay code in his Combinatorics study.
His studies deal with areas such as Generator, Hamming code, Quotient ring and Integer as well as Root.
His Key study combines topics from a wide range of disciplines, such as Algorithm, State and Realization.
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