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Computer Science
UAE
2026

D-Index & Metrics

Computer Science

D-Index
78
Citations
27044
World Ranking
1193
National Ranking
10

Li 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 Li 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: 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: 301 publications — 74th percentile

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

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

Li 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 Li Liu 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: 78 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2025 - Research.com Computer Science in United Arab Emirates Leader Award
  • 2022 - Research.com Computer Science in United Arab Emirates Leader Award

Overview

Li Liu is affiliated with Group42 in the United Arab Emirates and has a substantial presence in the field of Computer Science, with a focus on Computer Vision and Pattern Recognition as well as Artificial Intelligence. Their research portfolio comprises extensive work on advanced methodologies related to image and video analysis, multimodal machine learning, and clustering techniques.

The main topics covered in their research include:

  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Video Surveillance and Tracking Methods
  • Image Retrieval and Classification Techniques
  • Sparse and Compressive Sensing Techniques
  • Video Analysis and Summarization
  • Child and Adolescent Psychosocial and Emotional Development

Li Liu's frequent co-authors include:

  • Huaxiang Zhang
  • Lei Zhu
  • Weiguo Li
  • Wendi Bao
  • Liqiang Nie

Their research has been published predominantly in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Applied Intelligence
  • IEEE Transactions on Multimedia
  • Information Sciences

Among the recent scholarly articles authored or co-authored by Li Liu are:

  • A multi-label text classification method via dynamic semantic representation model and deep neural network, 2020, Applied Intelligence
  • Hierarchical Feature Aggregation Based on Transformer for Image-Text Matching, 2022, IEEE Transactions on Circuits and Systems for Video Technology
  • Adversarial Graph Convolutional Network for Cross-Modal Retrieval, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • Unsupervised Deep K-Means Hashing for Efficient Image Retrieval and Clustering, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-Scale Multimedia Retrieval, 2020, IEEE Transactions on Multimedia

Best Publications

  • Deep Learning for Generic Object Detection: A Survey

    Li Liu;Li Liu;Wanli Ouyang;Xiaogang Wang;Paul W. Fieguth

  • A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

    Moloud Abdar;Farhad Pourpanah;Sadiq Hussain;Dana Rezazadegan

  • Deep Learning for 3D Point Clouds: A Survey

    Yulan Guo;Hanyun Wang;Qingyong Hu;Hao Liu

  • Binary Multi-View Clustering

    Zheng Zhang;Li Liu;Fumin Shen;Heng Tao Shen

  • Median Robust Extended Local Binary Pattern for Texture Classification

    Li Liu;Songyang Lao;Paul W. Fieguth;Yulan Guo

  • STAR: A Structure and Texture Aware Retinex Model

    Jun Xu;Yingkun Hou;Dongwei Ren;Li Liu

  • Automated Visual Defect Detection for Flat Steel Surface: A Survey

    Qiwu Luo;Xiaoxin Fang;Li Liu;Chunhua Yang

  • Local binary features for texture classification

    Li Liu;Paul Fieguth;Yulan Guo;Xiaogang Wang

  • Extended local binary patterns for texture classification

    Li Liu;Lingjun Zhao;Yunli Long;Gangyao Kuang

  • Texture Classification from Random Features

    Li Liu;Paul Fieguth

  • An Adaptive and Fast CFAR Algorithm Based on Automatic Censoring for Target Detection in High-Resolution SAR Images

    Gui Gao;Li Liu;Lingjun Zhao;Gongtao Shi

  • Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization

    Fumin Shen;Yan Xu;Li Liu;Yang Yang

  • From BoW to CNN: Two Decades of Texture Representation for Texture Classification

    Li Liu;Li Liu;Jie Chen;Paul W. Fieguth;Guoying Zhao

  • Median robust extended local binary pattern for texture classification

    Li Liu;Paul Fieguth;Matti Pietikainen;Songyang Lao

  • Learning discriminative representations from RGB-D video data

    Li Liu;Ling Shao

  • Feature Learning for Image Classification Via Multiobjective Genetic Programming

    Ling Shao;Li Liu;Xuelong Li

  • An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning

    Ji Zhang;Yu Liu;Ke Zhou;Guoliang Li

  • Attentive Region Embedding Network for Zero-Shot Learning

    Guo-Sen Xie;Li Liu;Xiaobo Jin;Fan Zhu

  • Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval

    Li Liu;Fumin Shen;Yuming Shen;Xianglong Liu

  • Efficient and Effective Regularized Incomplete Multi-View Clustering

    Xinwang Liu;Miaomiao Li;Chang Tang;Jingyuan Xia

  • Collaborative Learning of Semi-Supervised Segmentation and Classification for Medical Images

    Yi Zhou;Xiaodong He;Lei Huang;Li Liu

  • Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach

    Li Liu;Ling Shao;Xuelong Li;Ke Lu

Frequent Co-Authors

Ling Shao
Ling Shao Terminus International
Fumin Shen
Fumin Shen University of Electronic Science and Technology of China
Jungong Han
Jungong Han Aberystwyth University
Yunhong Wang
Yunhong Wang Beihang University
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Xuelong Li
Xuelong Li China Telecom (China)
Jun Xu
Jun Xu University of Utah
Jingkuan Song
Jingkuan Song Columbia University
Guiguang Ding
Guiguang Ding Tsinghua University
Yang Yang
Yang Yang University of Electronic Science and Technology of China

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