World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
6069
World Ranking
10243
National Ranking
1270

Liquan Shen 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 Liquan Shen 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: 247 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Liquan Shen 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 Liquan Shen 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Liquan Shen is affiliated with Shanghai University in China and has contributed extensively to the field of computer science, particularly within the subfields of computer vision and pattern recognition, media technology, and signal processing. Their research output comprises over 200 publications, focusing on advanced topics in image and video processing technologies.

The main areas of study include:

  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Image and Video Quality Assessment
  • Video Coding and Compression Technologies
  • Image and Signal Denoising Methods
  • Advanced Image Fusion Techniques

Prominent publication venues frequently featuring their work are:

  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Multimedia
  • arXiv (Cornell University)
  • IEEE Journal of Oceanic Engineering
  • IEEE Signal Processing Letters

Recent significant papers by Liquan Shen include:

  • "Domain Adaptation for Underwater Image Enhancement" (2023), published in IEEE Transactions on Image Processing
  • "Fast Intra Mode Decision Algorithm for Versatile Video Coding" (2021), published in IEEE Transactions on Multimedia
  • "TMSO-Net: Texture adaptive multi-scale observation for light field image depth estimation" (2022), published in Journal of Visual Communication and Image Representation
  • "Attenuation Coefficient Guided Two-Stage Network for Underwater Image Restoration" (2020), published in IEEE Signal Processing Letters
  • "Underwater Forward-Looking Sonar Images Target Detection via Speckle Reduction and Scene Prior" (2023), published in IEEE Transactions on Geoscience and Remote Sensing

Liquan Shen has collaborated frequently with several coauthors, including:

  • Zhengyong Wang
  • Ping An
  • Mengyao Li
  • Xinpeng Huang
  • Chao Yang

The research contributions of Liquan Shen cover multiple aspects of image and video analysis technology, including enhancement techniques tailored to underwater imagery, texture adaptive observations for depth estimation, and algorithms advancing video coding efficiency. Their work also addresses challenges in sonar image processing and restoration under complex conditions.

Best Publications

  • An Effective CU Size Decision Method for HEVC Encoders

    Liquan Shen;Zhi Liu;Xinpeng Zhang;Wenqiang Zhao

  • Fast CU size decision and mode decision algorithm for HEVC intra coding

    Liquan Shen;Zhaoyang Zhang;Ping An

  • Effective CU Size Decision for HEVC Intracoding

    Liquan Shen;Zhaoyang Zhang;Zhi Liu

  • Low-Complexity CTU Partition Structure Decision and Fast Intra Mode Decision for Versatile Video Coding

    Hao Yang;Liquan Shen;Xinchao Dong;Qing Ding

  • Adaptive Inter-Mode Decision for HEVC Jointly Utilizing Inter-Level and Spatiotemporal Correlations

    Liquan Shen;Zhaoyang Zhang;Zhi Liu

  • Saliency Detection for Unconstrained Videos Using Superpixel-Level Graph and Spatiotemporal Propagation

    Zhi Liu;Junhao Li;Linwei Ye;Guangling Sun

  • Co-Saliency Detection Based on Hierarchical Segmentation

    Zhi Liu;Wenbin Zou;Lina Li;Liquan Shen

  • Domain Adaptation for Underwater Image Enhancement.

    Zhengyong Wang;Liquan Shen;Mei Yu;Kun Wang

  • Unsupervised Salient Object Segmentation Based on Kernel Density Estimation and Two-Phase Graph Cut

    Zhi Liu;Ran Shi;Liquan Shen;Yinzhu Xue

  • View-Adaptive Motion Estimation and Disparity Estimation for Low Complexity Multiview Video Coding

    Liquan Shen;Zhi Liu;Tao Yan;Zhaoyang Zhang

  • TMSO-Net: Texture adaptive multi-scale observation for light field image depth estimation

    Unknown

  • Selective Disparity Estimation and Variable Size Motion Estimation Based on Motion Homogeneity for Multi-View Coding

    Liquan Shen;Zhi Liu;Suxing Liu;Zhaoyang Zhang

  • Fast Intra Mode Decision Algorithm for Versatile Video Coding

    Xinchao Dong;Liquan Shen;Mei Yu;Hao Yang

  • Salient Object Segmentation via Effective Integration of Saliency and Objectness

    Linwei Ye;Zhi Liu;Lina Li;Liquan Shen

  • Fast Inter Mode Decision Using Spatial Property of Motion Field

    Liquan Shen;Zhi Liu;Zhaoyang Zhang;Xuli Shi

  • An Efficient Intermode Decision Algorithm Based on Motion Homogeneity for H.264/AVC

    Zhi Liu;Liquan Shen;Zhaoyang Zhang

  • Low-Complexity Mode Decision for MVC

    Liquan Shen;Zhi Liu;Ping An;Ran Ma

  • Co-Saliency Detection via Co-Salient Object Discovery and Recovery

    Linwei Ye;Zhi Liu;Junhao Li;Wan-Lei Zhao

  • An Adaptive and Fast Multiframe Selection Algorithm for H.264 Video Coding

    Liquan Shen;Zhi Liu;Zhaoyang Zhang;Guozhong Wang

  • Low complexity multiview video plus depth coding

    Qiuwen Zhang;Ping An;Yan Zhang;Liquan Shen

  • A No-Reference Image Quality Assessment Metric by Multiple Characteristics of Light Field Images

    Liang Shan;Ping An;Chunli Meng;Xinpeng Huang

  • Compressing Encrypted Images With Auxiliary Information

    Xinpeng Zhang;Yanli Ren;Liquan Shen;Zhenxing Qian

Frequent Co-Authors

Zhi Liu
Zhi Liu Shanghai University
Xinpeng Zhang
Xinpeng Zhang Fudan University
Dapeng Wu
Dapeng Wu City University of Hong Kong
Mai Xu
Mai Xu Beihang University
Olivier Le Meur
Olivier Le Meur InterDigital (United States)
Huaping Liu
Huaping Liu Tsinghua University
Weiyao Lin
Weiyao Lin Shanghai Jiao Tong University
King Ngi Ngan
King Ngi Ngan University of Electronic Science and Technology of China
Jian Zhang
Jian Zhang University of Technology Sydney
C.-C. Jay Kuo
C.-C. Jay Kuo University of Southern California

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