World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
14679
World Ranking
6681
National Ranking
898

Jing 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 Jing 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: 214 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Jing 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 Jing 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Jing Liu is affiliated with the Chinese Academy of Sciences in China and has contributed extensively to the field of Computer Science, with a particular focus on Computer Vision and Pattern Recognition. Their work spans over 206 publications, which include significant research in Artificial Intelligence, Biomedical Engineering, Media Technology, and Cognitive Neuroscience.

Their research prominently covers several main topics including:

  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Domain Adaptation and Few-Shot Learning
  • Topic Modeling

Jing Liu's frequent collaboration network includes coauthors such as Xinxin Zhu, Xingjian He, Longteng Guo, Hanqing Lu, and Weining Wang, each contributing to multiple joint works.

The scientist has published research in a variety of notable venues, with recurring publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Neural Networks and Learning Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Pattern Recognition

Some of the recent papers authored or co-authored by Jing Liu include:

  • "Unsupervised Feature Selection Using Nonnegative Spectral Analysis" (2021), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Scene Segmentation With Dual Relation-Aware Attention Network" (2020), IEEE Transactions on Neural Networks and Learning Systems
  • "AAformer: Auto-Aligned Transformer for Person Re-Identification" (2023), IEEE Transactions on Neural Networks and Learning Systems
  • "Scalable Vision Transformers with Hierarchical Pooling" (2021), 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "CPTR: Full Transformer Network for Image Captioning" (2021), arXiv (Cornell University)

Jing Liu's research focus includes the development and application of advanced neural network techniques, including transformers and attention mechanisms, which appear in studies related to scene segmentation, person re-identification, and image captioning.

Best Publications

  • Dual Attention Network for Scene Segmentation

    Jun Fu;Jing Liu;Haijie Tian;Yong Li

  • Unsupervised feature selection using nonnegative spectral analysis

    Zechao Li;Yi Yang;Jing Liu;Xiaofang Zhou

  • Robust Structured Subspace Learning for Data Representation

    Zechao Li;Jing Liu;Jinhui Tang;Hanqing Lu

  • Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection

    Zechao Li;Jing Liu;Yi Yang;Xiaofang Zhou

  • Image annotation via graph learning

    Jing Liu;Mingjing Li;Qingshan Liu;Hanqing Lu

  • Scene Segmentation With Dual Relation-Aware Attention Network

    Jun Fu;Jing Liu;Jie Jiang;Yong Li

  • Normalized and Geometry-Aware Self-Attention Network for Image Captioning

    Longteng Guo;Jing Liu;Xinxin Zhu;Peng Yao

  • Stacked Deconvolutional Network for Semantic Segmentation

    Jun Fu;Jing Liu;Yuhang Wang;Jin Zhou

  • Image classification by non-negative sparse coding, low-rank and sparse decomposition

    Chunjie Zhang;Jing Liu;Qi Tian;Changsheng Xu

  • Dual cross-media relevance model for image annotation

    Jing Liu;Bin Wang;Mingjing Li;Zhiwei Li

  • Learning ordinal discriminative features for age estimation

    Changsheng Li;Qingshan Liu;Jing Liu;Hanqing Lu

  • AAformer: Auto-Aligned Transformer for Person Re-Identification.

    Kuan Zhu;Haiyun Guo;Shiliang Zhang;Yaowei Wang

  • Aligning Linguistic Words and Visual Semantic Units for Image Captioning

    Longteng Guo;Jing Liu;Jinhui Tang;Jiangwei Li

  • Adaptive sliding mode current control with sliding mode disturbance observer for PMSM drives

    Yongting Deng;Jianli Wang;Hongwen Li;Jing Liu

  • Adaptive Context Network for Scene Parsing

    Jun Fu;Jing Liu;Yuhang Wang;Yong Li

  • User-Aware Image Tag Refinement via Ternary Semantic Analysis

    Jitao Sang;Changsheng Xu;Jing Liu

  • Partially Shared Latent Factor Learning With Multiview Data

    Jing Liu;Yu Jiang;Zechao Li;Zhi-Hua Zhou

  • Sparse representation for robust abnormality detection in crowded scenes

    Xiaobin Zhu;Xiaobin Zhu;Jing Liu;Jinqiao Wang;Changsheng Li

  • An adaptive graph model for automatic image annotation

    Jing Liu;Mingjing Li;Wei-Ying Ma;Qingshan Liu

  • MSCap: Multi-Style Image Captioning With Unpaired Stylized Text

    Longteng Guo;Jing Liu;Peng Yao;Jiangwei Li

  • CPTR: Full Transformer Network for Image Captioning

    Wei Liu;Sihan Chen;Longteng Guo;Xinxin Zhu

  • Stacked Deconvolutional Network for Semantic Segmentation

    Jun Fu;Jing Liu;Yuhang Wang;Hanqing Lu

Frequent Co-Authors

Hanqing Lu
Hanqing Lu Chinese Academy of Sciences
Zechao Li
Zechao Li Nanjing University of Science and Technology
Jinqiao Wang
Jinqiao Wang Chinese Academy of Sciences
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Qi Tian
Qi Tian Huawei Technologies (China)
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
Qingshan Liu
Qingshan Liu Nanjing University of Information Science and Technology
Jinhui Tang
Jinhui Tang Nanjing University of Science and Technology
Jian Cheng
Jian Cheng Chinese Academy of Sciences
Mingjing Li
Mingjing Li Microsoft (United States)

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