What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Redox
- Chemical engineering
Li Niu focuses on Chemical engineering, Electrocatalyst, Graphene, Nanotechnology and Inorganic chemistry.
His study in the fields of Single displacement reaction under the domain of Chemical engineering overlaps with other disciplines such as Ascorbic acid.
His Electrocatalyst research is under the purview of Electrochemistry.
His studies in Graphene integrate themes in fields like Nanoparticle, Colloidal gold and X-ray photoelectron spectroscopy.
His work deals with themes such as Amperometry, Capacitance, Supercapacitor and Detection limit, which intersect with Nanotechnology.
His Inorganic chemistry research includes themes of Poly, Conductive polymer, Cyclic voltammetry and Ionic conductivity.
His most cited work include:
- Hierarchically Z-scheme photocatalyst of Ag@AgCl decorated on BiVO4 (040) with enhancing photoelectrochemical and photocatalytic performance (236 citations)
- Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models (173 citations)
- Exploiting Low-Rank Structure from Latent Domains for Domain Generalization (119 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Chemical engineering, Nanotechnology, Graphene and Electrochemistry.
His Artificial intelligence research includes themes of Machine learning, Computer vision and Pattern recognition.
His research in Chemical engineering intersects with topics in Electrocatalyst, Faraday efficiency, Anode, Lithium and Specific surface area.
His Nanotechnology study combines topics in areas such as Photocurrent and Semiconductor.
The study incorporates disciplines such as Capacitance, Nanoparticle and Nanocomposite in addition to Graphene.
His research investigates the connection with Electrochemistry and areas like Nanoporous which intersect with concerns in Alloy and Detection limit.
He most often published in these fields:
- Artificial intelligence (24.68%)
- Chemical engineering (40.00%)
- Nanotechnology (26.38%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (24.68%)
- Image (10.64%)
- Photochemistry (17.45%)
In recent papers he was focusing on the following fields of study:
Li Niu spends much of his time researching Artificial intelligence, Image, Photochemistry, Anode and Chemical engineering.
His research integrates issues of Machine learning, Computer vision and Pattern recognition in his study of Artificial intelligence.
His Photochemistry research focuses on subjects like Photocatalysis, which are linked to Visible spectrum.
Li Niu combines subjects such as High conductivity, Long cycle, Copper foil, Cyclic stability and Graphene with his study of Anode.
His Chemical engineering study incorporates themes from Electrocatalyst, Overpotential, Faraday efficiency, Lithium and Tafel equation.
His work in Electrochemistry tackles topics such as Potentiometric sensor which are related to areas like Nanotechnology.
Between 2019 and 2021, his most popular works were:
- DoveNet: Deep Image Harmonization via Domain Verification (17 citations)
- NiSe@NiOx core-shell nanowires as a non-precious electrocatalyst for upgrading 5-hydroxymethylfurfural into 2,5-furandicarboxylic acid (17 citations)
- NiSe@NiOx core-shell nanowires as a non-precious electrocatalyst for upgrading 5-hydroxymethylfurfural into 2,5-furandicarboxylic acid (17 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Redox
- Chemical engineering
Photochemistry, Anode, Chemical engineering, Artificial intelligence and Photocatalysis are his primary areas of study.
His work deals with themes such as Adsorption, Rhodamine B, Visible spectrum, Redox and Methyl orange, which intersect with Photochemistry.
His Visible spectrum study which covers Molecularly imprinted polymer that intersects with Nanotechnology.
His Anode research includes elements of Cathode, Coating, Lithium and High-resolution transmission electron microscopy.
Li Niu interconnects Electrocatalyst, Nanowire and Electrolysis in the investigation of issues within Chemical engineering.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Memory module.
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