D-Index & Metrics Best Publications

D-Index & Metrics 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.

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
Engineering and Technology D-index 40 Citations 6,557 481 World Ranking 3636 National Ranking 534

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mathematical analysis
  • Eigenvalues and eigenvectors

Ting-Zhu Huang mainly investigates Algorithm, Artificial intelligence, Combinatorics, Mathematical optimization and Multi-agent system. His Algorithm research is multidisciplinary, relying on both Hilbert space, Numerical analysis and Heaviside step function. His research integrates issues of Rate of convergence, Computer vision and Pattern recognition in his study of Artificial intelligence.

Ting-Zhu Huang has included themes like Hadamard's inequality, Hadamard matrix, Pure mathematics, Upper and lower bounds and Eigenvalues and eigenvectors in his Combinatorics study. His Mathematical optimization research includes themes of Image resolution, Total variation denoising and Image restoration. His work investigates the relationship between Linear system and topics such as Complex system that intersect with problems in Applied mathematics.

His most cited work include:

  • Deblurring and Sparse Unmixing for Hyperspectral Images (118 citations)
  • Image restoration using total variation with overlapping group sparsity (96 citations)
  • Tensor completion using total variation and low-rank matrix factorization (89 citations)

What are the main themes of his work throughout his whole career to date?

Ting-Zhu Huang spends much of his time researching Algorithm, Applied mathematics, Linear system, Matrix and Mathematical analysis. Ting-Zhu Huang studies Regularization which is a part of Algorithm. His study in Applied mathematics is interdisciplinary in nature, drawing from both Iterative method, Krylov subspace, Mathematical optimization, System of linear equations and Discretization.

The various areas that Ting-Zhu Huang examines in his Iterative method study include Numerical analysis, Toeplitz matrix and Coefficient matrix. His Linear system study integrates concerns from other disciplines, such as Rate of convergence and Residual. His research investigates the link between Matrix and topics such as Combinatorics that cross with problems in Eigenvalues and eigenvectors, Upper and lower bounds, Diagonally dominant matrix and Spectral radius.

He most often published in these fields:

  • Algorithm (26.54%)
  • Applied mathematics (26.11%)
  • Linear system (20.38%)

What were the highlights of his more recent work (between 2017-2021)?

  • Algorithm (26.54%)
  • Applied mathematics (26.11%)
  • Rank (6.58%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Algorithm, Applied mathematics, Rank, Regularization and Artificial intelligence. His Algorithm research integrates issues from Tucker decomposition, Hyperspectral imaging, Matrix decomposition, Norm and Image restoration. He has researched Applied mathematics in several fields, including Krylov subspace, Residual, Generalized minimal residual method, Discretization and Discontinuous Galerkin method.

His study looks at the intersection of Generalized minimal residual method and topics like Eigenvalues and eigenvectors with Linear system, Saddle point and Iterative method. His study in the field of Total variation denoising also crosses realms of Ultrasound. His Artificial intelligence research is multidisciplinary, incorporating elements of Computer vision and Pattern recognition.

Between 2017 and 2021, his most popular works were:

  • FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors (63 citations)
  • On Leader–Follower Consensus With Switching Topologies: An Analysis Inspired by Pigeon Hierarchies (48 citations)
  • Cauchy Noise Removal by Nonconvex ADMM with Convergence Guarantees (46 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Mathematical analysis
  • Algorithm

His primary areas of study are Algorithm, Rank, Regularization, Artificial intelligence and Matrix decomposition. His biological study spans a wide range of topics, including Hyperspectral imaging, Streak, Tensor, Norm and Image restoration. Ting-Zhu Huang works mostly in the field of Rank, limiting it down to topics relating to Tensor and, in certain cases, Applied mathematics and Minification, as a part of the same area of interest.

His work on Total variation denoising as part of his general Regularization study is frequently connected to High order, thereby bridging the divide between different branches of science. The concepts of his Artificial intelligence study are interwoven with issues in Computer vision and Pattern recognition. The various areas that Ting-Zhu Huang examines in his Matrix decomposition study include Tucker decomposition and Tensor completion.

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.

Best Publications

Deblurring and Sparse Unmixing for Hyperspectral Images

Xi-Le Zhao;Fan Wang;Ting-Zhu Huang;M. K. Ng.
IEEE Transactions on Geoscience and Remote Sensing (2013)

159 Citations

A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors

Tai-Xiang Jiang;Ting-Zhu Huang;Xi-Le Zhao;Liang-Jian Deng.
computer vision and pattern recognition (2017)

139 Citations

Image restoration using total variation with overlapping group sparsity

Jun Liu;Ting-Zhu Huang;Ivan W. Selesnick;Xiao-Guang Lv.
Information Sciences (2015)

136 Citations

Tensor completion using total variation and low-rank matrix factorization

Teng-Yu Ji;Ting-Zhu Huang;Xi-Le Zhao;Tian-Hui Ma.
Information Sciences (2016)

127 Citations

Simple criteria for nonsingular H-matrices

Tai-Bin Gan;Ting-Zhu Huang.
Linear Algebra and its Applications (2003)

126 Citations

FastDeRain: A Novel Video Rain Streak Removal Method Using Directional Gradient Priors

Tai-Xiang Jiang;Ting-Zhu Huang;Xi-Le Zhao;Liang-Jian Deng.
IEEE Transactions on Image Processing (2019)

123 Citations

An active contour model and its algorithms with local and global Gaussian distribution fitting energies

Hui Wang;Ting-Zhu Huang;Zongben Xu;Yilun Wang.
Information Sciences (2014)

99 Citations

Fast Iterative Method with a Second-Order Implicit Difference Scheme for Time-Space Fractional Convection–Diffusion Equation

Xian-Ming Gu;Xian-Ming Gu;Ting-Zhu Huang;Cui-Cui Ji;Bruno Carpentieri.
Journal of Scientific Computing (2017)

92 Citations

A directional global sparse model for single image rain removal

Liang-Jian Deng;Ting-Zhu Huang;Xi-Le Zhao;Tai-Xiang Jiang.
Applied Mathematical Modelling (2018)

91 Citations

Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization

Yu-Bang Zheng;Ting-Zhu Huang;Xi-Le Zhao;Tai-Xiang Jiang.
IEEE Transactions on Geoscience and Remote Sensing (2020)

88 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Ting-Zhu Huang

Michael K. Ng

Michael K. Ng

University of Hong Kong

Publications: 30

Deyu Meng

Deyu Meng

Xi'an Jiaotong University

Publications: 23

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 20

Wei Xing Zheng

Wei Xing Zheng

Western Sydney University

Publications: 16

Ching-Shyang Chen

Ching-Shyang Chen

University of Southern Mississippi

Publications: 15

Jocelyn Chanussot

Jocelyn Chanussot

Grenoble Alpes University

Publications: 15

Sabri Arik

Sabri Arik

Istanbul University

Publications: 14

Liqun Qi

Liqun Qi

Hong Kong Polytechnic University

Publications: 12

Jiaying Liu

Jiaying Liu

Peking University

Publications: 11

Zongben Xu

Zongben Xu

Xi'an Jiaotong University

Publications: 10

Hong Wang

Hong Wang

Chinese Academy of Sciences

Publications: 10

Zeshui Xu

Zeshui Xu

Sichuan University

Publications: 9

Ivan Gutman

Ivan Gutman

University of Kragujevac

Publications: 9

Yanfei Zhong

Yanfei Zhong

Wuhan University

Publications: 9

Housheng Su

Housheng Su

Huazhong University of Science and Technology

Publications: 9

Quanxin Zhu

Quanxin Zhu

Hunan Normal University

Publications: 9

Trending Scientists

Wei Wang

Wei Wang

Beijing Jiaotong University

Roberto Lamberts

Roberto Lamberts

Universidade Federal de Santa Catarina

Raymond D. Mindlin

Raymond D. Mindlin

Columbia University

W. Wallace Covington

W. Wallace Covington

Northern Arizona University

Tilman M. Hackeng

Tilman M. Hackeng

Maastricht University

Alicja Jozkowicz

Alicja Jozkowicz

Jagiellonian University

Anne Krug

Anne Krug

Ludwig-Maximilians-Universität München

Christel Prudhomme

Christel Prudhomme

European Centre for Medium-Range Weather Forecasts

Massimo Pasqualetti

Massimo Pasqualetti

University of Pisa

Edwin D. Kilbourne

Edwin D. Kilbourne

New York Medical College

Gianni Marone

Gianni Marone

University of Naples Federico II

Erick Janssen

Erick Janssen

KU Leuven

Robert A. C. Ruiter

Robert A. C. Ruiter

Maastricht University

Marcel Kinsbourne

Marcel Kinsbourne

New School

John F.R. Robertson

John F.R. Robertson

University of Nottingham

Jerry A. Katzmann

Jerry A. Katzmann

Mayo Clinic

Something went wrong. Please try again later.