World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7761
World Ranking
7987
National Ranking
1048

Tieyong Zeng publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Tieyong Zeng sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 194 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Tieyong Zeng D-index placement in Computer Science in 2026

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

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Tieyong Zeng is affiliated with the Chinese University of Hong Kong in China. Their research primarily spans the fields of Computer Science and Engineering, with a focus on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, and Computational Mechanics.

The scientist's work extensively covers several main topics, including:

  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Sparse and Compressive Sensing Techniques
  • Advanced Image Fusion Techniques
  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • Image Processing Techniques and Applications

Tieyong Zeng has contributed more than 331 publications in Computer Science and 165 in Engineering. Frequent publication venues include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Inverse Problems and Imaging
  • Journal of Scientific Computing
  • Pattern Recognition

The scientist has collaborated frequently with several co-authors, including:

  • Juncheng Li (31 joint works)
  • Fenglei Fan (23 joint works)
  • Tingting Wu (20 joint works)
  • Raymond H. Chan (17 joint works)
  • Chaoyan Huang (15 joint works)

Among notable recent papers are:

  • "Transformer for Single Image Super-Resolution", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Soft-Edge Assisted Network for Single Image Super-Resolution", 2020, IEEE Transactions on Image Processing
  • "CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution", 2023, IEEE Transactions on Image Processing
  • "Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer", 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • "Rank-One Prior: Real-Time Scene Recovery", 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection

    Xiaolong Li;Bin Yang;Tieyong Zeng

  • Transformer for Single Image Super-Resolution

    Unknown

  • General Framework to Histogram-Shifting-Based Reversible Data Hiding

    Xiaolong Li;Bin Li;Bin Yang;Tieyong Zeng

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

    Xiaohao Cai;Raymond H. Chan;Tieyong Zeng

  • Restoration of images corrupted by mixed Gaussian-impulse noise via l1-l0 minimization

    Yu Xiao;Tieyong Zeng;Jian Yu;Michael K. Ng

  • A Weighted Difference of Anisotropic and Isotropic Total Variation Model for Image Processing

    Yifei Lou;Tieyong Zeng;Stanley J. Osher;Jack Xin

  • Reducing Artifacts in JPEG Decompression Via a Learned Dictionary

    Huibin Chang;Michael K. Ng;Tieyong Zeng

  • CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution

    Unknown

  • Soft-Edge Assisted Network for Single Image Super-Resolution

    Faming Fang;Juncheng Li;Tieyong Zeng

  • A Convex Variational Model for Restoring Blurred Images with Multiplicative Noise

    Yiqiu Dong;Tieyong Zeng

  • A Multiphase Image Segmentation Method Based on Fuzzy Region Competition

    Fang Li;Michael K. Ng;Tie Yong Zeng;Chunli Shen

  • Rank-One Prior: Real-Time Scene Recovery

    Unknown

  • A Dictionary Learning Approach for Poisson Image Deblurring

    Liyan Ma;L. Moisan;Jian Yu;Tieyong Zeng

  • Multilevel Edge Features Guided Network for Image Denoising

    Unknown

  • Multiplicative Noise Removal via a Learned Dictionary

    Yu-Mei Huang;L. Moisan;M. K. Ng;Tieyong Zeng

  • Surface-Aware Blind Image Deblurring

    Jun Liu;Ming Yan;Tieyong Zeng

  • A Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise

    Raymond H. Chan;Hongfei Yang;Tieyong Zeng

  • Quaternion-based weighted nuclear norm minimization for color image restoration

    Unknown

  • Total variation structured total least squares method for image restoration

    Xi-Le Zhao;Xi-Le Zhao;Wei Wang;Tie-Yong Zeng;Ting-Zhu Huang

  • Variational Approach for Restoring Blurred Images with Cauchy Noise

    Federica Sciacchitano;Yiqiu Dong;Tieyong Zeng

  • Detecting LSB matching by applying calibration technique for difference image

    Xiaolong Li;Tieyong Zeng;Bin Yang

  • Phase Retrieval from Incomplete Magnitude Information via Total Variation Regularization

    Huibin Chang;Yifei Lou;Michael K. Ng;Tieyong Zeng

  • Weighted variational model for selective image segmentation with application to medical images

    Chunxiao Liu;Michael Kwok Po Ng;Tieyong Zeng

  • Low Rank Prior and Total Variation Regularization for Image Deblurring

    Liyan Ma;Li Xu;Tieyong Zeng

  • Local distribution-based adaptive minority oversampling for imbalanced data classification

    Xinyue Wang;Jian Xu;Tieyong Zeng;Liping Jing

Frequent Co-Authors

Raymond H. Chan
Raymond H. Chan Lingnan University
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Yifei Lou
Yifei Lou University of North Carolina at Chapel Hill
Jian Yu
Jian Yu Beijing Jiaotong University
Li Wang
Li Wang National Cheng Kung University
Yaonan Wang
Yaonan Wang Hunan University
Mila Nikolova
Mila Nikolova École Normale Supérieure Paris-Saclay
Yang Wang
Yang Wang Hong Kong University of Science and Technology
Gabriele Steidl
Gabriele Steidl Technical University of Berlin
Qi Ying
Qi Ying Hong Kong University of Science and Technology

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