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Ting-Zhu Huang

D-Index & Metrics

Engineering and Technology

D-Index
63
Citations
12839
World Ranking
1808
National Ranking
363

Ting-Zhu Huang publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Ting-Zhu Huang sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 557 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Ting-Zhu Huang D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Ting-Zhu Huang sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 63 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Ting-Zhu Huang is affiliated with the University of Electronic Science and Technology of China. Their research primarily spans the fields of Engineering and Computer Science, with a particular focus on areas such as Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Computational Mathematics, and Numerical Analysis.

The main research topics covered by Ting-Zhu Huang include:

  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques
  • Sparse and Compressive Sensing Techniques
  • Remote-Sensing Image Classification
  • Tensor Decomposition and Applications
  • Advanced Image Processing Techniques
  • Advanced Neuroimaging Techniques and Applications

Recent publications highlight Ting-Zhu Huang's work in hyperspectral imaging and tensor methods. Key papers include:

  • "Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial-Spectral Prior," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks," 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "Fusformer: A Transformer-Based Fusion Network for Hyperspectral Image Super-Resolution," 2022, IEEE Geoscience and Remote Sensing Letters
  • "Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image," 2020, IEEE Transactions on Geoscience and Remote Sensing

Frequent co-authors working closely with Ting-Zhu Huang include:

  • Xi-Le Zhao
  • Liang-Jian Deng
  • Gemine Vivone
  • Yu-Bang Zheng
  • Jie Huang

Ting-Zhu Huang has contributed extensively to several publication venues, particularly in geoscience and remote sensing as well as applied mathematics, including:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Journal of Scientific Computing
  • arXiv (Cornell University)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Applied Mathematics and Computation

Best Publications

  • Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion

    Tai-Xiang Jiang;Michael K. Ng;Xi-Le Zhao;Ting-Zhu Huang

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

    Yu-Bang Zheng;Ting-Zhu Huang;Xi-Le Zhao;Tai-Xiang Jiang

  • Fusformer: A Transformer-Based Fusion Network for Hyperspectral Image Super-Resolution

    Unknown

  • Hyperspectral Image Restoration Using Weighted Group Sparsity-Regularized Low-Rank Tensor Decomposition

    Yong Chen;Wei He;Naoto Yokoya;Ting-Zhu Huang

  • Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks.

    Jin-Fan Hu;Ting-Zhu Huang;Liang-Jian Deng;Tai-Xiang Jiang

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

    Tai-Xiang Jiang;Ting-Zhu Huang;Xi-Le Zhao;Liang-Jian Deng

  • Image restoration using total variation with overlapping group sparsity

    Jun Liu;Ting-Zhu Huang;Ivan W. Selesnick;Xiao-Guang Lv

  • Deblurring and Sparse Unmixing for Hyperspectral Images

    Xi-Le Zhao;Fan Wang;Ting-Zhu Huang;M. K. Ng

  • 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

  • Tensor completion using total variation and low-rank matrix factorization

    Teng-Yu Ji;Ting-Zhu Huang;Xi-Le Zhao;Tian-Hui Ma

  • A directional global sparse model for single image rain removal

    Liang-Jian Deng;Ting-Zhu Huang;Xi-Le Zhao;Tai-Xiang Jiang

  • Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion

    Yu-Bang Zheng;Ting-Zhu Huang;Xi-Le Zhao;Qibin Zhao

  • Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization

    Jing-Hua Yang;Xi-Le Zhao;Tian-Hui Ma;Yong Chen

  • Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm

    Tai-Xiang Jiang;Tai-Xiang Jiang;Ting-Zhu Huang;Xi-Le Zhao;Liang-Jian Deng

  • Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image

    Yu-Bang Zheng;Ting-Zhu Huang;Xi-Le Zhao;Yong Chen

  • 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

  • Fast iterative method with a second order implicit difference scheme for time-space fractional convection-diffusion equations

    Xian-Ming Gu;Ting-Zhu Huang;Cui-Cui Ji;Bruno Carpentieri

  • A Triple-Double Convolutional Neural Network for Panchromatic Sharpening

    Unknown

  • Low-rank tensor train for tensor robust principal component analysis

    Jing-Hua Yang;Xi-Le Zhao;Teng-Yu Ji;Tian-Hui Ma

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

    Hui Wang;Ting-Zhu Huang;Zongben Xu;Yilun Wang

  • A non-convex tensor rank approximation for tensor completion

    Teng-Yu Ji;Ting-Zhu Huang;Xi-Le Zhao;Tian-Hui Ma

  • Nonlocal Tensor-Ring Decomposition for Hyperspectral Image Denoising

    Yong Chen;Wei He;Naoto Yokoya;Ting-Zhu Huang

  • Leader-following consensus for multi-agent systems via sampled-data control

    Z.-J. Tang;T.-Z. Huang;J.-L. Shao;J.-P. Hu

  • On Leader–Follower Consensus With Switching Topologies: An Analysis Inspired by Pigeon Hierarchies

    Jinliang Shao;Wei Xing Zheng;Ting-Zhu Huang;Adrian N. Bishop

  • Cauchy Noise Removal by Nonconvex ADMM with Convergence Guarantees

    Jin Jin Mei;Yiqiu Dong;Ting Zhu Huang;Wotao Yin

  • Low-rank tensor completion via smooth matrix factorization

    Yu-Bang Zheng;Ting-Zhu Huang;Teng-Yu Ji;Xi-Le Zhao

Frequent Co-Authors

Xi-Le Zhao
Xi-Le Zhao University of Electronic Science and Technology of China
Liang-Jian Deng
Liang-Jian Deng University of Electronic Science and Technology of China
Naoto Yokoya
Naoto Yokoya University of Tokyo
Zongben Xu
Zongben Xu Xi'an Jiaotong University
Gemine Vivone
Gemine Vivone National Research Council (CNR)
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Jun He
Jun He University of Nottingham Ningbo China
Guo-Cheng Wu
Guo-Cheng Wu Chongqing University of Posts and Telecommunications
David J. Evans
David J. Evans Loughborough University

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Best Scientists Citing Ting-Zhu Huang

Michael K. Ng

Michael K. Ng

Hong Kong Baptist University

Publications: 30

Xi-Le Zhao

Xi-Le Zhao

University of Electronic Science and Technology of China

Publications: 29

Masoud Hajarian

Masoud Hajarian

Shahid Beheshti University

Publications: 24

Deyu Meng

Deyu Meng

Xi'an Jiaotong University

Publications: 23

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 20

Qian Zhao

Qian Zhao

Xi'an Jiaotong University

Publications: 17

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

Risheng Liu

Risheng Liu

Dalian University of Technology

Publications: 14

Sabri Arik

Sabri Arik

Istanbul University

Publications: 14

Liqun Qi

Liqun Qi

Hong Kong Polytechnic University

Publications: 12

Wenhan Yang

Wenhan Yang

Peking University

Publications: 12

Jiaying Liu

Jiaying Liu

Peking University

Publications: 11

Xin Fan

Xin Fan

Dalian University of Technology

Publications: 10

Zongben Xu

Zongben Xu

Xi'an Jiaotong University

Publications: 10

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