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- Yang Wang

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
34
Citations
5,027
118
World Ranking
1504
National Ranking
74

Engineering and Technology
D-index
31
Citations
4,404
109
World Ranking
5317
National Ranking
601

- 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.

- 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)

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.

- Combinatorics (31.46%)
- Algorithm (27.23%)
- Discrete mathematics (27.23%)

- Algorithm (27.23%)
- Combinatorics (31.46%)
- Phase retrieval (13.15%)

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.

- 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)

- 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.

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.

Bounded semigroups of matrices

Marc A. Berger;Yang Wang.

Linear Algebra and its Applications **(1992)**

529 Citations

Self-affine tiles in ℝn

Jeffrey C Lagarias;Yang Wang.

Advances in Mathematics **(1996)**

286 Citations

The finiteness conjecture for the generalized spectral radius of a set of matrices

Jeffrey C. Lagarias;Yang Wang.

Linear Algebra and its Applications **(1995)**

243 Citations

On Spectral Cantor Measures

Izabella Łaba;Yang Wang.

Journal of Functional Analysis **(2002)**

240 Citations

Tiling the line with translates of one tile

Jeffrey C. Lagarias;Yang Wang.

Inventiones Mathematicae **(1996)**

235 Citations

Hausdorff Dimension of Self‐Similar Sets with Overlaps

Sze Man Ngai;Yang Wang.

Journal of The London Mathematical Society-second Series **(2001)**

201 Citations

Integral self-affine tiles in ℝn I. Standard and nonstandard digit sets

Jeffrey C. Lagarias;Yang Wang.

Journal of The London Mathematical Society-second Series **(1996)**

177 Citations

Arbitrarily smooth orthogonal nonseparable wavelets in R 2

Eugene Belogay;Yang Wang.

Siam Journal on Mathematical Analysis **(1999)**

171 Citations

ITERATIVE FILTERING AS AN ALTERNATIVE ALGORITHM FOR EMPIRICAL MODE DECOMPOSITION

Luan Lin;Yang Wang;Haomin Zhou.

Advances in Adaptive Data Analysis **(2009)**

149 Citations

Spectral Sets and Factorizations of Finite Abelian Groups

Jeffrey C. Lagarias;Yang Wang.

Journal of Functional Analysis **(1997)**

129 Citations

University of Michigan–Ann Arbor

Hong Kong University of Science and Technology

Hong Kong Baptist University

Michigan State University

University of Missouri

Duke University

Hong Kong University of Science and Technology

Rice University

Cornell University

Swinburne University of Technology

Profile was last updated on December 6th, 2021.

Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).

The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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