World's Best Scientists 2026 revealed!
Raymond H. Chan

Raymond H. Chan

D-Index & Metrics

Mathematics

D-Index
57
Citations
12966
World Ranking
691
National Ranking
36

Engineering and Technology

D-Index
56
Citations
12843
World Ranking
2793
National Ranking
556

Research.com Recognitions

  • 2021 - Fellow of the American Mathematical Society For contributions to computational mathematics, in particular to numerical linear algebra and applications to imaging sciences.
  • 2013 - SIAM Fellow For advances in numerical linear algebra and imaging science, including the theory of Toeplitz solvers.

Overview

Raymond H. Chan is affiliated with the City University of Hong Kong in China. Their research spans the intersecting fields of computer science and medicine, with a particular focus on cardiology, cardiovascular medicine, and advanced computational methods.

The scientist's recent publications cover a variety of topics and venues, illustrating a multidisciplinary approach. Notable recent papers include:

  • A new method to compute the blood flow equations using the physics-informed neural operator, 2024, Journal of Computational Physics
  • Arrhythmogenic risk of late gadolinium enhancement in patients with hypertrophic cardiomyopathy: Burden and location?, 2020, Revista Portuguesa de Cardiologia (English Edition)
  • Cartoon-Texture Image Decomposition Using Least Squares and Low-Rank Regularization, 2024, Journal of Mathematical Imaging and Vision
  • Radiomics of late gadolinium enhancement in pediatric hypertrophic cardiomyopathy with ventricular arrhythmia, 2025, Journal of Cardiovascular Magnetic Resonance
  • Proceedings of NORA's annual conference 2025, 2025, Nordic Machine Intelligence

Frequent publication venues reflect the breadth of the scientist's work and include:

  • Journal of Computational Physics
  • Revista Portuguesa de Cardiologia (English Edition)
  • Journal of Mathematical Imaging and Vision
  • Journal of Cardiovascular Magnetic Resonance
  • Nordic Machine Intelligence

The topics Raymond H. Chan addresses include:

  • Cardiomyopathy and Myosin Studies
  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Model Reduction and Neural Networks
  • Control Systems and Identification
  • Neural Networks and Applications
  • Cardiovascular Effects of Exercise

Within their fields of study, the following subfields are prominent in their research output:

  • Cardiology and Cardiovascular Medicine
  • Computer Vision and Pattern Recognition
  • Statistical and Nonlinear Physics
  • Control and Systems Engineering
  • Artificial Intelligence

Raymond H. Chan collaborates frequently with several co-authors, including:

  • Xue-Cheng Tai
  • Lingfeng Li
  • Mahdi Montazeri
  • Kexin Li
  • You-Wei Wen

Recognition of their contributions includes being named a Fellow of the American Mathematical Society in 2021, with a citation highlighting work in computational mathematics, numerical linear algebra, and imaging sciences.

They were also named a SIAM Fellow in 2013 for advances in numerical linear algebra and imaging science, particularly related to the theory of Toeplitz solvers.

Best Publications

  • Salt-and-pepper noise removal by median-type noise detectors and detail-preserving regularization

    R.H. Chan;Chung-Wa Ho;M. Nikolova

  • Conjugate Gradient Methods for Toeplitz Systems

    Raymond H. Chan;Michael K. Ng

  • A Fast Algorithm for Deblurring Models with Neumann Boundary Conditions

    Michael K. Ng;Raymond H. Chan;Wun-Cheung Tang

  • An Introduction to Iterative Toeplitz Solvers

    Raymond Hon-Fu Chan;Xiao-Qing Jin

  • A framelet-based image inpainting algorithm

    Jian-Feng Cai;Raymond H. Chan;Zuowei Shen

  • Toeplitz equations by conjugate gradients with circulant preconditioner

    Raymond H. Chan;Gilbert Strang

  • A Detection Statistic for Random-Valued Impulse Noise

    Yiqiu Dong;R.H. Chan;Shufang Xu

  • Wavelet Algorithms for High-Resolution Image Reconstruction

    Raymond H. Chan;Tony F. Chan;Lixin Shen;Zuowei Shen

  • An iterative procedure for removing random-valued impulse noise

    R.H. Chan;Chen Hu;M. Nikolova

  • Constrained Total Variation Deblurring Models and Fast Algorithms Based on Alternating Direction Method of Multipliers

    Raymond H. Chan;Min Tao;Xiaoming Yuan

  • Two-phase approach for deblurring images corrupted by impulse plus gaussian noise

    Jian-Feng Cai;Raymond H. Chan;Mila Nikolova

  • A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding ∗

    Xiaohao Cai;Raymond H. Chan;Tieyong Zeng

  • Tight frame: an efficient way for high-resolution image reconstruction

    Raymond H Chan;Sherman D Riemenschneider;Lixin Shen;Zuowei Shen

  • Parameter selection for total-variation-based image restoration using discrepancy principle

    You-Wei Wen;R. H. Chan

  • Fast Two-Phase Image Deblurring Under Impulse Noise

    Jian-Feng Cai;Raymond H. Chan;Mila Nikolova

  • An Introduction to Iterative Toeplitz Solvers (Fundamentals of Algorithms)

    Raymond Hon-Fu Chan;Xiao-Qing Jin

  • Circulant Preconditioners for Hermitian Toeplitz Systems

    R. H. Chan

  • Toeplitz Preconditioners for Toeplitz Systems with Nonnegative Generating Functions

    Raymond H. Chan

  • Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization

    Caihua Chen;Raymond H. Chan;Shiqian Ma;Junfeng Yang

  • A family of block preconditioners for block systems

    Raymond H. Chan;Xiao-Qing Jin

Frequent Co-Authors

Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Mila Nikolova
Mila Nikolova École Normale Supérieure Paris-Saclay
Zuowei Shen
Zuowei Shen National University of Singapore
Tony F. Chan
Tony F. Chan University of California, Los Angeles
Tieyong Zeng
Tieyong Zeng Chinese University of Hong Kong
Wai-Ki Ching
Wai-Ki Ching University of Hong Kong
Robert J. Plemmons
Robert J. Plemmons Wake Forest University
Jian-Feng Cai
Jian-Feng Cai Hong Kong University of Science and Technology
Gabriele Steidl
Gabriele Steidl Technical University of Berlin
Wing-Keung Wong
Wing-Keung Wong Asian University

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