What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Artificial intelligence
- Gene
His primary areas of investigation include Nanotechnology, Stereochemistry, Crystallography, Inorganic chemistry and Chemical engineering.
His Nanotechnology study integrates concerns from other disciplines, such as Optoelectronics and Oxide.
The concepts of his Stereochemistry study are interwoven with issues in Quenching, Crystal structure and DNA.
His Crystallography research also works with subjects such as
- Copper and related Magnetic susceptibility and Circular dichroism,
- Cleavage most often made with reference to Ligand,
- Relaxation together with Magnetization.
As a part of the same scientific study, Xin Liu usually deals with the Inorganic chemistry, concentrating on Ion and frequently concerns with Luminescence and Hydrothermal reaction.
His biological study deals with issues like Chromatography, which deal with fields such as Thin-film composite membrane.
His most cited work include:
- Heavily-doped colloidal semiconductor and metal oxide nanocrystals: an emerging new class of plasmonic nanomaterials. (231 citations)
- Size-Controlled Synthesis of Cu2-xE (E = S, Se) Nanocrystals with Strong Tunable Near-Infrared Localized Surface Plasmon Resonance and High Conductivity in Thin Films (194 citations)
- Enhancing Anisotropy Barriers of Dysprosium(III) Single‐Ion Magnets (179 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Electronic engineering, Artificial intelligence, Crystallography, Cognitive radio and Computer network.
His Electronic engineering research integrates issues from Wireless, Energy and Transmission.
He interconnects Computer vision and Pattern recognition in the investigation of issues within Artificial intelligence.
Xin Liu combines subjects such as Ligand, Ion and Stereochemistry with his study of Crystallography.
His Cognitive radio research is multidisciplinary, incorporating elements of Optimization problem and Interference.
He most often published in these fields:
- Electronic engineering (9.47%)
- Artificial intelligence (8.48%)
- Crystallography (7.57%)
What were the highlights of his more recent work (between 2019-2021)?
- Composite material (5.84%)
- Artificial intelligence (8.48%)
- Chemical engineering (5.60%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Composite material, Artificial intelligence, Chemical engineering, Microstructure and Magnetic resonance imaging.
Composite material and Electrical resistivity and conductivity are frequently intertwined in his study.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Computer vision and Pattern recognition.
His study on Chemical engineering is mostly dedicated to connecting different topics, such as Membrane.
His research investigates the link between Microstructure and topics such as Sintering that cross with problems in Ceramic.
His study looks at the relationship between Iterative reconstruction and topics such as Image quality, which overlap with Algorithm.
Between 2019 and 2021, his most popular works were:
- NOMA-Based Resource Allocation for Cluster-Based Cognitive Industrial Internet of Things (77 citations)
- QoS-Guarantee Resource Allocation for Multibeam Satellite Industrial Internet of Things With NOMA (59 citations)
- Joint Precoding Optimization for Secure SWIPT in UAV-Aided NOMA Networks (32 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Artificial intelligence
- Gene
His main research concerns Composite material, Computer network, Communication channel, Cognitive radio and Chemical engineering.
His biological study spans a wide range of topics, including Electrical resistivity and conductivity and Permeability.
His Computer network study incorporates themes from Wireless, Transmission and Power optimization.
His Transmission research incorporates themes from Resource management and Interference.
His research on Cognitive radio often connects related topics like Throughput.
His Chemical engineering research includes themes of Membrane, Nanofiltration, Sponge and Polyurethane.
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