What is he best known for?
The fields of study he is best known for:
- Gene
- Artificial intelligence
- Quantum mechanics
His main research concerns Artificial intelligence, Optics, Data mining, Optoelectronics and Cluster analysis.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Pattern recognition.
Plasmon, Laser, Achromatic lens, Chromatic aberration and Diffraction are among the areas of Optics where Tao Li concentrates his study.
His Plasmon research includes elements of Excitation and Metamaterial.
His research in Data mining tackles topics such as Malware which are related to areas like Naive Bayes classifier.
The various areas that Tao Li examines in his Cluster analysis study include Matrix decomposition and Non-negative matrix factorization.
His most cited work include:
- Orthogonal nonnegative matrix t-factorizations for clustering (870 citations)
- Convex and Semi-Nonnegative Matrix Factorizations (865 citations)
- Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores (575 citations)
What are the main themes of his work throughout his whole career to date?
Tao Li mostly deals with Optics, Optoelectronics, Artificial intelligence, Data mining and Laser.
He studies Optics, focusing on Plasmon in particular.
His studies deal with areas such as Machine learning and Pattern recognition as well as Artificial intelligence.
Data mining is often connected to Cluster analysis in his work.
Specifically, his work in Cluster analysis is concerned with the study of Correlation clustering.
His biological study spans a wide range of topics, including Pulse-width modulation and Power.
He most often published in these fields:
- Optics (12.29%)
- Optoelectronics (9.24%)
- Artificial intelligence (9.05%)
What were the highlights of his more recent work (between 2019-2021)?
- Optoelectronics (9.24%)
- Cancer research (4.03%)
- Catalysis (2.91%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Optoelectronics, Cancer research, Catalysis, Chemical engineering and Cell biology.
His Optoelectronics study typically links adjacent topics like Laser.
His Laser study contributes to a more complete understanding of Optics.
His biological study focuses on Hepatocellular carcinoma.
His research is interdisciplinary, bridging the disciplines of NOx and Catalysis.
His Chemical engineering study typically links adjacent topics like Photocatalysis.
Between 2019 and 2021, his most popular works were:
- 2D Single‐Atom Catalyst with Optimized Iron Sites Produced by Thermal Melting of Metal–Organic Frameworks for Oxygen Reduction Reaction (27 citations)
- SARS-CoV-2 501Y.V2 variants lack higher infectivity but do have immune escape. (23 citations)
- Incentive Mechanism for Multiple Cooperative Tasks with Compatible Users in Mobile Crowd Sensing via Online Communities (19 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Quantum mechanics
- Internal medicine
His scientific interests lie mostly in Catalysis, Chemical engineering, Cell biology, Cancer research and Optoelectronics.
Tao Li combines subjects such as Inorganic chemistry, NOx and Adsorption with his study of Catalysis.
His study in Chemical engineering is interdisciplinary in nature, drawing from both Photocatalysis, Nickel and Nucleation.
His Cancer research study which covers Downregulation and upregulation that intersects with Mitochondrial fission.
Tao Li focuses mostly in the field of Optoelectronics, narrowing it down to matters related to Laser and, in some cases, Wavelength and Pulse-width modulation.
Optics covers Tao Li research in Saturable absorption.
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