What is he best known for?
The fields of study he is best known for:
- Organic chemistry
- Artificial intelligence
- Oxygen
Chemical engineering, Artificial intelligence, Pattern recognition, Visible light communication and Photochemistry are his primary areas of study.
His research integrates issues of Epoxy, Composite material, Polymer, Electrolyte and Carbon in his study of Chemical engineering.
His research in Polymer tackles topics such as Curing which are related to areas like Graphene.
Leverage, Adaptive learning and Manifold is closely connected to Computer vision in his research, which is encompassed under the umbrella topic of Artificial intelligence.
His studies deal with areas such as Wireless, Cellular network, Base station, Orthogonal frequency-division multiplexing and Electronic engineering as well as Visible light communication.
Cheng Chen has researched Photochemistry in several fields, including Cycloaddition, Ethylene, Pyridinium, Salt and Bending.
His most cited work include:
- Facile preparation and upconversion luminescence of graphene quantum dots (573 citations)
- What is LiFi (536 citations)
- Achieving high performance corrosion and wear resistant epoxy coatings via incorporation of noncovalent functionalized graphene (192 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Chemical engineering, Artificial intelligence, Visible light communication, Photochemistry and Pattern recognition.
His Chemical engineering study also includes fields such as
- Electrolyte together with Anode,
- Epoxy that connect with fields like Corrosion.
His Artificial intelligence research is multidisciplinary, incorporating elements of Margin and Computer vision.
His biological study spans a wide range of topics, including Wireless, Cellular network, Communication channel, Orthogonal frequency-division multiplexing and Electronic engineering.
As a part of the same scientific study, Cheng Chen usually deals with the Photochemistry, concentrating on Luminescence and frequently concerns with Ligand and Fluorescence.
His research on Composite material often connects related topics like Graphene.
He most often published in these fields:
- Chemical engineering (17.86%)
- Artificial intelligence (14.29%)
- Visible light communication (10.71%)
What were the highlights of his more recent work (between 2019-2021)?
- Visible light communication (10.71%)
- Artificial intelligence (14.29%)
- Chemical engineering (17.86%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Visible light communication, Artificial intelligence, Chemical engineering, Image segmentation and Functional magnetic resonance imaging.
His study in Visible light communication is interdisciplinary in nature, drawing from both Radio frequency, Communication channel, Orthogonal frequency-division multiplexing and Data transmission.
His Artificial intelligence research integrates issues from Margin, Machine learning and Constraint.
The study incorporates disciplines such as Adsorption, Metal-organic framework, Metal, Selectivity and Vinyl alcohol in addition to Chemical engineering.
His studies in Metal integrate themes in fields like Luminescence, Ligand, Fluorescence, Polymer and Isostructural.
His Pattern recognition course of study focuses on Feature and Encoder and Feature extraction.
Between 2019 and 2021, his most popular works were:
- Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation (50 citations)
- Introduction to indoor networking concepts and challenges in LiFi (28 citations)
- Metal-Organic frameworks-derived bamboo-like CuO/In2O3 Heterostructure for high-performance H2S gas sensor with Low operating temperature (21 citations)
In his most recent research, the most cited papers focused on:
- Organic chemistry
- Artificial intelligence
- Oxygen
His scientific interests lie mostly in Chemical engineering, Photonic crystal, Colloidal crystal, Diode and Optoelectronics.
His Chemical engineering research is multidisciplinary, relying on both Electrolyte, Cathode, Graphite and Phase.
His work carried out in the field of Photonic crystal brings together such families of science as Colloidal photonic crystals, Glucose detection, Visible spectrum, Colloid and Vinyl alcohol.
His work deals with themes such as Glucose sensing and Nanotechnology, Biosensor, which intersect with Colloidal crystal.
The various areas that Cheng Chen examines in his Diode study include Optical power, Data transmission, Transmission, Orthogonal frequency-division multiplexing and Visible light communication.
The study incorporates disciplines such as Forward error correction, Quantum yield, Composite number and Chromaticity in addition to Optoelectronics.
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