World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
10967
World Ranking
5077
National Ranking
688

Zhi Liu 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 Zhi Liu 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 360 publications — 83rd percentile

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

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

Zhi Liu 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 Zhi Liu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Zhi Liu is affiliated with Shanghai University in China and works primarily within the field of Computer Science, having contributed to 259 publications in this area. Their research encompasses several subfields, notably Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Neurology, and Cognitive Neuroscience.

Their main research topics focus on Visual Attention and Saliency Detection, Advanced Neural Network Applications, Advanced Image and Video Retrieval Techniques, Human Pose and Action Recognition, Image and Video Quality Assessment, Industrial Vision Systems and Defect Detection, and Advanced Image Fusion Techniques.

Zhi Liu has published research extensively in notable venues, with a frequent presence in:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Image and Vision Computing
  • IEEE Transactions on Circuits and Systems for Video Technology

Recent papers include:

  • Hierarchical Alternate Interaction Network for RGB-D Salient Object Detection, 2021, IEEE Transactions on Image Processing
  • ICNet: Information Conversion Network for RGB-D Based Salient Object Detection, 2020, IEEE Transactions on Image Processing
  • Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images, 2022, IEEE Transactions on Cybernetics
  • RGB-T Semantic Segmentation With Location, Activation, and Sharpening, 2022, IEEE Transactions on Circuits and Systems for Video Technology
  • Edge-Aware Multiscale Feature Integration Network for Salient Object Detection in Optical Remote Sensing Images, 2021, IEEE Transactions on Geoscience and Remote Sensing

Frequent coauthors in Zhi Liu's work include Enrique Herrera-Viedma, Gongyang Li, Karen Panetta, Giancarlo Fortino, and David Mendonça. The collaborations with these researchers reflect a network of partnerships across various studies related to image processing and computer vision.

Best Publications

  • Cross-Modal Self-Attention Network for Referring Image Segmentation

    Linwei Ye;Mrigank Rochan;Zhi Liu;Yang Wang

  • An Effective CU Size Decision Method for HEVC Encoders

    Liquan Shen;Zhi Liu;Xinpeng Zhang;Wenqiang Zhao

  • Hierarchical Alternate Interaction Network for RGB-D Salient Object Detection

    Gongyang Li;Zhi Liu;Minyu Chen;Zhen Bai

  • Saliency Tree: A Novel Saliency Detection Framework

    Zhi Liu;Wenbin Zou;Olivier Le Meur

  • Effective CU Size Decision for HEVC Intracoding

    Liquan Shen;Zhaoyang Zhang;Zhi Liu

  • Superpixel-Based Spatiotemporal Saliency Detection

    Zhi Liu;Xiang Zhang;Shuhua Luo;Olivier Le Meur

  • ICNet: Information Conversion Network for RGB-D Based Salient Object Detection

    Gongyang Li;Zhi Liu;Haibin Ling

  • Depth-Aware Salient Object Detection and Segmentation via Multiscale Discriminative Saliency Fusion and Bootstrap Learning

    Hangke Song;Zhi Liu;Huan Du;Guangling Sun

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

    Liquan Shen;Zhaoyang Zhang;Zhi Liu

  • Finger vein recognition with manifold learning

    Zhi Liu;Yilong Yin;Hongjun Wang;Shangling Song

  • Saccadic model of eye movements for free-viewing condition.

    Olivier Le Meur;Zhi Liu

  • Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images

    Unknown

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

    Zhi Liu;Junhao Li;Linwei Ye;Guangling Sun

  • Adaptive Neural Control for a Class of Nonlinear Time-Varying Delay Systems With Unknown Hysteresis

    Zhi Liu;Guanyu Lai;Yun Zhang;Xin Chen

  • Co-Saliency Detection Based on Hierarchical Segmentation

    Zhi Liu;Wenbin Zou;Lina Li;Liquan Shen

  • 3D-based Deep Convolutional Neural Network for action recognition with depth sequences

    Zhi Liu;Chenyang Zhang;Yingli Tian

  • Mean shift blob tracking with kernel histogram filtering and hypothesis testing

    Ning Song Peng;Jie Yang;Zhi Liu

  • Dense Attention-Guided Cascaded Network for Salient Object Detection of Strip Steel Surface Defects

    Unknown

  • Cross-Modal Weighting Network for RGB-D Salient Object Detection

    Gongyang Li;Zhi Liu;Linwei Ye;Yang Wang

  • Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlation

    Unknown

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

    Zhi Liu;Ran Shi;Liquan Shen;Yinzhu Xue

  • Segmentation Driven Low-rank Matrix Recovery for Saliency Detection

    Wenbin Zou;Kidiyo Kpalma;Zhi Liu;Joseph Ronsin

  • Efficient Saliency-Model-Guided Visual Co-Saliency Detection

    Yijun Li;Keren Fu;Zhi Liu;Jie Yang

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

    Liquan Shen;Zhi Liu;Tao Yan;Zhaoyang Zhang

  • Salient region detection for stereoscopic images

    Xingxing Fan;Zhi Liu;Guangling Sun

  • Automated tongue segmentation in hyperspectral images for medicine

    Zhi Liu;Jingqi Yan;David D. Zhang;Qing-Li Li

Frequent Co-Authors

Liquan Shen
Liquan Shen Shanghai University
Olivier Le Meur
Olivier Le Meur InterDigital (United States)
Haibin Ling
Haibin Ling Westlake University
Jie Yang
Jie Yang RMIT University
Jian Zhang
Jian Zhang University of Technology Sydney
Shengyong Chen
Shengyong Chen Tianjin University of Technology
Weisi Lin
Weisi Lin Nanyang Technological University
Xinpeng Zhang
Xinpeng Zhang Fudan University
King Ngi Ngan
King Ngi Ngan University of Electronic Science and Technology of China
Xiaogang Chen
Xiaogang Chen University of Manchester

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