What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Organic chemistry
His primary areas of investigation include Chemical engineering, Anode, Electrochemistry, Nonparametric statistics and Lithium.
His Chemical engineering study integrates concerns from other disciplines, such as Nanotechnology and Mesoporous material.
He interconnects Ion, Porosity and Microstructure in the investigation of issues within Anode.
His Electrochemistry study incorporates themes from Inorganic chemistry, Composite number and Carbon nanotube.
His Nonparametric statistics study combines topics from a wide range of disciplines, such as Multivariate statistics, Mathematical optimization, Asymptotic distribution, Applied mathematics and Regression analysis.
Xiaohong Chen has included themes like Dielectric spectroscopy and Carbon in his Lithium study.
His most cited work include:
- Electrochemical performance of graphene nanosheets as anode material for lithium-ion batteries (549 citations)
- EFFICIENT ESTIMATION OF MODELS WITH CONDITIONAL MOMENT RESTRICTIONS CONTAINING UNKNOWN FUNCTIONS (539 citations)
- MIXING AND MOMENT PROPERTIES OF VARIOUS GARCH AND STOCHASTIC VOLATILITY MODELS (460 citations)
What are the main themes of his work throughout his whole career to date?
Estimator, Chemical engineering, Applied mathematics, Nonparametric statistics and Mathematical optimization are his primary areas of study.
His Estimator research incorporates themes from Econometrics, Sieve, Parametric statistics and Moment.
His biological study spans a wide range of topics, including Carbon, Anode and Nanotechnology.
His Anode research is multidisciplinary, incorporating elements of Composite number, Electrochemistry and Lithium.
His Nonparametric statistics study combines topics in areas such as Quantile, Instrumental variable and Minimax.
Xiaohong Chen has researched Mathematical optimization in several fields, including Interval and Fuzzy logic.
He most often published in these fields:
- Estimator (15.96%)
- Chemical engineering (14.96%)
- Applied mathematics (13.34%)
What were the highlights of his more recent work (between 2018-2021)?
- Chemical engineering (14.96%)
- Anode (8.23%)
- Estimator (15.96%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Chemical engineering, Anode, Estimator, Matching and Lithium.
The study incorporates disciplines such as Composite number and Carbon, Carbonization in addition to Chemical engineering.
His Anode study frequently links to related topics such as Silicon.
His studies in Estimator integrate themes in fields like Nonparametric statistics, Parametric statistics, Marginal distribution, Applied mathematics and Copula.
His Nonparametric statistics study which covers Quantile that intersects with Empirical likelihood and Sieve.
He combines subjects such as Moment and Minimax with his study of Applied mathematics.
Between 2018 and 2021, his most popular works were:
- Confidence consensus-based model for large-scale group decision making: A novel approach to managing non-cooperative behaviors (40 citations)
- Confidence consensus-based model for large-scale group decision making: A novel approach to managing non-cooperative behaviors (40 citations)
- One-step synthesis of spherical Si/C composites with onion-like buffer structure as high-performance anodes for lithium-ion batteries (36 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Organic chemistry
His primary scientific interests are in Chemical engineering, Anode, Artificial intelligence, Lithium and Carbon.
Xiaohong Chen studies Graphene which is a part of Chemical engineering.
His work deals with themes such as Machine learning and Computer vision, which intersect with Artificial intelligence.
His Lithium research includes elements of Composite number and Silicon.
His research integrates issues of Nanoparticle, Carbonization and Oxide in his study of Composite number.
The various areas that he examines in his Carbon study include Battery, Lithium–sulfur battery, Electrochemistry and Gravimetric analysis.
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