What is he best known for?
The fields of study he is best known for:
- Vector space
- Pure mathematics
- Hilbert space
His primary areas of investigation include Pure mathematics, Locally compact group, Group algebra, Discrete mathematics and Algebra.
His work on Semigroup, Invariant, Beurling algebra and Dual polyhedron as part of general Pure mathematics research is frequently linked to Bibliography, thereby connecting diverse disciplines of science.
As a part of the same scientific study, Anthony To-Ming Lau usually deals with the Locally compact group, concentrating on C*-algebra and frequently concerns with Combinatorics.
His work deals with themes such as Incidence algebra, Locally compact space and Zonal spherical function, which intersect with Group algebra.
His research integrates issues of Uniform continuity and Topology in his study of Locally compact space.
Anthony To-Ming Lau focuses mostly in the field of Algebra, narrowing it down to topics relating to Banach *-algebra and, in certain cases, Homomorphism.
His most cited work include:
- The Second Duals of Beurling Algebras (155 citations)
- Banach Algebras on Semigroups and on Their Compactifications (121 citations)
- On the Second Conjugate Algebra of L1(G) of a Locally Compact Group (88 citations)
What are the main themes of his work throughout his whole career to date?
Anthony To-Ming Lau mostly deals with Pure mathematics, Discrete mathematics, Locally compact group, Locally compact space and Algebra.
His work carried out in the field of Pure mathematics brings together such families of science as Topological group and Mathematical analysis.
His research in Discrete mathematics intersects with topics in Bounded function and Invariant.
In his study, Zonal spherical function and Group ring is strongly linked to Group algebra, which falls under the umbrella field of Locally compact group.
Anthony To-Ming Lau has included themes like Homomorphism, Compactification, Topology and Compact group in his Locally compact space study.
The study incorporates disciplines such as Approximation property, C*-algebra, Banach *-algebra and Filtered algebra in addition to Algebra.
He most often published in these fields:
- Pure mathematics (41.56%)
- Discrete mathematics (37.01%)
- Locally compact group (34.42%)
What were the highlights of his more recent work (between 2015-2021)?
- Pure mathematics (41.56%)
- Waste management (4.55%)
- Locally compact space (32.47%)
In recent papers he was focusing on the following fields of study:
His main research concerns Pure mathematics, Waste management, Locally compact space, Particle and Particle size.
His Pure mathematics research focuses on Metric and how it connects with Special classes of semigroups.
His studies in Locally compact space integrate themes in fields like Class, Stone space, Fourier transform and Unit interval.
His study in Particle size is interdisciplinary in nature, drawing from both Updraft gasifier, Boiler and Pulp and paper industry.
His Topology study frequently links to adjacent areas such as Locally compact group.
His biological study focuses on Fourier algebra.
Between 2015 and 2021, his most popular works were:
- Fourier and Fourier-stieltjes Algebras on Locally Compact Groups (27 citations)
- Impact of the biorefinery size on the logistics of corn stover supply – A scenario analysis (24 citations)
- Banach Spaces of Continuous Functions as Dual Spaces (18 citations)
In his most recent research, the most cited papers focused on:
- Vector space
- Pure mathematics
- Mathematical analysis
Anthony To-Ming Lau focuses on Particle size, Range, Environmental engineering, Thermal treatment and Composite material.
Environmental engineering is closely attributed to Fuel efficiency in his research.
His Thermal treatment research is multidisciplinary, incorporating elements of Thermal, Thermodynamics, Heat transfer model and Pyrolysis.
His work on Pellets and Pellet as part of general Composite material study is frequently linked to Particle, therefore connecting diverse disciplines of science.
He interconnects Moisture, Mass transfer and Volume in the investigation of issues within Pellets.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
