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
2795
National Ranking
555

Raymond H. Chan publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Raymond H. Chan sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 237 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Raymond H. Chan D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Raymond H. Chan sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 57 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

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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