What is he best known for?
The fields of study he is best known for:
- Gene
- Statistics
- Artificial intelligence
Sheng Chen spends much of his time researching Algorithm, Nanotechnology, Graphene, Artificial neural network and Artificial intelligence.
His Algorithm research incorporates elements of System identification, Identification, Radial basis function network, Radial basis function and Nonlinear system.
His Nanotechnology study combines topics from a wide range of disciplines, such as Electrochemistry, Electrode, Chemical engineering and Mesoporous material.
His biological study spans a wide range of topics, including Supercapacitor, Nanoparticle, Nanocomposite and Oxide.
His Artificial intelligence research is multidisciplinary, relying on both Mean squared error, Machine learning, Kernel density estimation and Pattern recognition.
The various areas that Sheng Chen examines in his Mathematical optimization study include Singular value decomposition and Model selection.
His most cited work include:
- Orthogonal least squares learning algorithm for radial basis function networks (2977 citations)
- Graphene Oxide−MnO2 Nanocomposites for Supercapacitors (1623 citations)
- Orthogonal least squares methods and their application to non-linear system identification (1328 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Algorithm, Control theory, Microbiology, Mathematical optimization and Communication channel.
His Algorithm study incorporates themes from Detector, Artificial neural network, Radial basis function, Bit error rate and Nonlinear system.
His Radial basis function study contributes to a more complete understanding of Artificial intelligence.
His studies in Control theory integrate themes in fields like Equaliser, Quadrature amplitude modulation and Equalization.
As a member of one scientific family, Sheng Chen mostly works in the field of Microbiology, focusing on Plasmid and, on occasion, Escherichia coli.
His Communication channel study which covers Telecommunications link that intersects with Base station.
He most often published in these fields:
- Algorithm (24.04%)
- Control theory (15.69%)
- Microbiology (12.37%)
What were the highlights of his more recent work (between 2017-2021)?
- Microbiology (12.37%)
- Plasmid (8.75%)
- Gene (6.54%)
In recent papers he was focusing on the following fields of study:
Microbiology, Plasmid, Gene, Genetics and Communication channel are his primary areas of study.
The Microbiology study combines topics in areas such as MCR-1, Enterobacteriaceae and Bacteria.
His Plasmid research is multidisciplinary, incorporating elements of Multiple drug resistance, Klebsiella pneumoniae, Escherichia coli and Salmonella.
His Communication channel study integrates concerns from other disciplines, such as Algorithm, Electronic engineering, Telecommunications link and Interference.
The Algorithm study which covers Nonlinear system that intersects with Computational complexity theory.
His MIMO research includes themes of Matrix and Optimization problem, Mathematical optimization.
Between 2017 and 2021, his most popular works were:
- Guillain-Barré syndrome associated with SARS-CoV-2 infection: causality or coincidence? (447 citations)
- A Survey of Non-Orthogonal Multiple Access for 5G (372 citations)
- A fatal outbreak of ST11 carbapenem-resistant hypervirulent Klebsiella pneumoniae in a Chinese hospital: a molecular epidemiological study (250 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Statistics
- Artificial intelligence
His scientific interests lie mostly in Microbiology, Klebsiella pneumoniae, Plasmid, Gene and Virulence.
The study of Microbiology is intertwined with the study of Carbapenem-resistant enterobacteriaceae in a number of ways.
His research in Klebsiella pneumoniae tackles topics such as Tigecycline which are related to areas like Medical microbiology, Minocycline, Avibactam and Ceftazidime.
His research investigates the link between Plasmid and topics such as Antimicrobial that cross with problems in Isostere, Residue and Stereochemistry.
His work on Carbapenemase producing is typically connected to Multidrug resistance phenotype as part of general Gene study, connecting several disciplines of science.
His Virulence research includes elements of Wild type, Multilocus sequence typing and Biofilm.
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