What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Artificial intelligence
- Gene
Wei Wang focuses on Nanotechnology, Genetics, Nanorod, Propulsion and Nano-.
His Self-assembly study in the realm of Nanotechnology interacts with subjects such as Collective behavior.
His work is dedicated to discovering how Nanorod, Ultrasonic sensor are connected with Optics, Node, Planar and Orders of magnitude and other disciplines.
While the research belongs to areas of Genome, he spends his time largely on the problem of 1000 Genomes Project, intersecting his research to questions surrounding Genomics and Computational biology.
His work focuses on many connections between Transposase and other disciplines, such as PiggyBac Transposon System, that overlap with his field of interest in Cellular differentiation, SOX2 and Induced pluripotent stem cell.
Wei Wang combines subjects such as Molecular biology and Cell biology with his study of Monoclonal antibody.
His most cited work include:
- piggyBac transposition reprograms fibroblasts to induced pluripotent stem cells (1612 citations)
- Sequencing of 50 Human Exomes Reveals Adaptation to High Altitude (1009 citations)
- Mapping copy number variation by population-scale genome sequencing (887 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Nanotechnology, Internal medicine, Artificial intelligence, Optics and Algorithm.
His Nanotechnology research integrates issues from Supramolecular chemistry and Microscale chemistry.
His Oncology research extends to Internal medicine, which is thematically connected.
The study incorporates disciplines such as Machine learning, Computer vision and Pattern recognition in addition to Artificial intelligence.
He most often published in these fields:
- Nanotechnology (11.29%)
- Internal medicine (7.80%)
- Artificial intelligence (6.78%)
What were the highlights of his more recent work (between 2019-2021)?
- Internal medicine (7.80%)
- Artificial intelligence (6.78%)
- Nanotechnology (11.29%)
In recent papers he was focusing on the following fields of study:
Wei Wang mostly deals with Internal medicine, Artificial intelligence, Nanotechnology, Optoelectronics and Transmission.
In his study, which falls under the umbrella issue of Internal medicine, Ki-67 is strongly linked to Oncology.
His work deals with themes such as Machine learning and Pattern recognition, which intersect with Artificial intelligence.
His Nanotechnology study combines topics in areas such as Supramolecular chemistry and Photocatalysis.
The Supramolecular chemistry study combines topics in areas such as Dendrimer and Polymer.
His research in Transmission focuses on subjects like Outbreak, which are connected to Epidemiology.
Between 2019 and 2021, his most popular works were:
- Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study. (335 citations)
- Safety and immunogenicity of an inactivated SARS-CoV-2 vaccine, BBIBP-CorV: a randomised, double-blind, placebo-controlled, phase 1/2 trial. (104 citations)
- Evolving epidemiology of novel coronavirus diseases 2019 and possible interruption of local transmission outside Hubei Province in China: a descriptive and modeling study (34 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Artificial intelligence
- Gene
His primary areas of study are Pandemic, Transmission, Optoelectronics, Nanotechnology and Epidemiology.
His Transmission research focuses on subjects like Outbreak, which are linked to Environmental health.
His studies deal with areas such as Inductor, Inductance and Cluster analysis as well as Optoelectronics.
A large part of his Nanotechnology studies is devoted to Layer.
His study in Epidemiology is interdisciplinary in nature, drawing from both Global health, Population health and Confidence interval.
His research in Supramolecular chemistry intersects with topics in Polymer, Daisy chain, Composite polymer and Modulation.
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