What is he best known for?
The fields of study he is best known for:
- Mathematical analysis
- Algebra
- Real number
His primary scientific interests are in Combinatorics, Discrete mathematics, Affine transformation, Algorithm and Artificial intelligence.
Yang Wang has included themes like Spectral radius, Joint spectral radius, Operator norm, Bounded function and Lattice in his Combinatorics study.
His Bounded function research is multidisciplinary, incorporating perspectives in Lebesgue measure and Spectral set.
The Discrete mathematics study combines topics in areas such as Class, Measure and Spectrum.
His Affine transformation research is multidisciplinary, relying on both Convex hull and Numerical digit, Arithmetic.
His Algorithm research integrates issues from Hilbert spectrum, Phase retrieval, Fourier transform, Toeplitz matrix and Nonlinear system.
His most cited work include:
- Bounded semigroups of matrices (345 citations)
- The finiteness conjecture for the generalized spectral radius of a set of matrices (182 citations)
- Self-affine tiles in ℝn (172 citations)
What are the main themes of his work throughout his whole career to date?
Yang Wang mainly focuses on Combinatorics, Algorithm, Discrete mathematics, Phase retrieval and Mathematical analysis.
The concepts of his Combinatorics study are interwoven with issues in Matrix, Bounded function, Pure mathematics and Contraction ratio.
His research in Algorithm intersects with topics in Hilbert space, Robustness, Control theory and Fourier transform.
His Fourier transform research is multidisciplinary, incorporating elements of Sampling and Sublinear function.
His studies deal with areas such as Orthonormal basis, Affine transformation, Lebesgue measure, Measure and Refinable function as well as Discrete mathematics.
His Phase retrieval study incorporates themes from Flow, Quadratic equation and Order.
He most often published in these fields:
- Combinatorics (31.46%)
- Algorithm (27.23%)
- Discrete mathematics (27.23%)
What were the highlights of his more recent work (between 2017-2021)?
- Algorithm (27.23%)
- Combinatorics (31.46%)
- Phase retrieval (13.15%)
In recent papers he was focusing on the following fields of study:
His main research concerns Algorithm, Combinatorics, Phase retrieval, Matrix and Rank.
Yang Wang interconnects Noise and Fourier transform in the investigation of issues within Algorithm.
Yang Wang is studying Conjecture, which is a component of Combinatorics.
His work carried out in the field of Phase retrieval brings together such families of science as Flow, Quadratic equation and Function.
His study focuses on the intersection of Matrix and fields such as Almost everywhere with connections in the field of Variety, Orthogonal matrix, Algebraic geometry and Algebraic variety.
His Rank research incorporates themes from Matrix decomposition, Class, Diagonally dominant matrix and Positive-definite matrix.
Between 2017 and 2021, his most popular works were:
- Fast Rank-One Alternating Minimization Algorithm for Phase Retrieval (11 citations)
- Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function (8 citations)
- Multiscale High-Dimensional Sparse Fourier Algorithms for Noisy Data (7 citations)
In his most recent research, the most cited papers focused on:
- Mathematical analysis
- Algebra
- Real number
Yang Wang focuses on Phase retrieval, Combinatorics, Algorithm, Artificial intelligence and Algebraic variety.
His Phase retrieval research includes themes of Gradient descent, Open set, Flow and Affine transformation.
His Combinatorics study integrates concerns from other disciplines, such as Singular value, Discrete mathematics, Random matrix, Redundancy and Constant.
His Algorithm research includes elements of Sampling, Partial differential equation, Sublinear function, Boundary value problem and Fourier transform.
His work in the fields of Noise reduction, Tight frame and Dictionary learning overlaps with other areas such as Molecular conformation.
His research integrates issues of Almost everywhere, Algebraic geometry, Unimodular matrix, Pure mathematics and Matrix in his study of Algebraic variety.
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