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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
145
Citations
83716
World Ranking
45
National Ranking
5

Xuelong Li 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 Xuelong Li 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: 1,054 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Xuelong Li 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 Xuelong Li 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: 145 D-Index — 100th percentile

100% 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 China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2020 - ACM Fellow For contributions to computing on and learning from higher-order data
  • 2020 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2017 - Member of Academia Europaea
  • 2015 - ACM Distinguished Member
  • 2013 - OSA Fellows For achievements in image and video processing, pattern recognition and imaging.
  • 2011 - SPIE Fellow
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts
  • Member of the European Academy of Sciences and Arts

Overview

Xuelong Li is affiliated with China Telecom in China and has an extensive research portfolio spanning several fields, primarily within computer science and engineering. Their work has a significant focus on computer vision and pattern recognition, with key contributions to artificial intelligence and biomedical engineering.

Their publication record includes numerous papers in prestigious venues, with a notable presence in the following:

  • arXiv (Cornell University)
  • Neurocomputing
  • Pattern Recognition
  • SSRN Electronic Journal
  • Proceedings of the AAAI Conference on Artificial Intelligence

Xuelong Li's main fields of study include computer science, with 251 publications, and engineering, comprising 106 works. Their subfields of expertise feature:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Computational Mechanics
  • Media Technology

The core topics addressed by their research cover:

  • Face and Expression Recognition
  • Advanced Clustering Algorithms Research
  • Image Enhancement Techniques
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Advanced Vision and Imaging

Recent significant publications include:

  • RESA: Recurrent Feature-Shift Aggregator for Lane Detection, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Adversarial-Learned Loss for Domain Adaptation, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach, 2022, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Rapid colorimetric detection of COVID-19 coronavirus using a reverse transcriptional loop-mediated isothermal amplification (RT-LAMP) diagnostic platform: iLACO, 2020, bioRxiv (Cold Spring Harbor Laboratory)

The scientist has collaborated frequently with several coauthors, including:

  • Feiping Nie
  • Zhen Wang
  • Rong Wang
  • Hongyuan Zhang
  • Zhe Sun

Xuelong Li has received multiple recognitions in their career. Awards and honors include:

  • ACM Fellow (2020) for contributions to computing on and learning from higher-order data
  • Fellow of the Indian National Academy of Engineering (INAE) (2020)
  • Member of Academia Europaea (2017)
  • ACM Distinguished Member (2015)
  • OSA Fellow (2013) for achievements in image and video processing, pattern recognition and imaging
  • SPIE Fellow (2011)
  • Member of the European Academy of Sciences and Arts

Best Publications

  • Toward Scalable Systems for Big Data Analytics: A Technology Tutorial

    Han Hu;Yonggang Wen;Tat-Seng Chua;Xuelong Li

  • General Tensor Discriminant Analysis and Gabor Features for Gait Recognition

    Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank

  • Efficient kNN Classification With Different Numbers of Nearest Neighbors

    Shichao Zhang;Xuelong Li;Ming Zong;Xiaofeng Zhu

  • A Survey of Sparse Representation: Algorithms and Applications

    Zheng Zhang;Yong Xu;Jian Yang;Xuelong Li

  • Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval

    Dacheng Tao;Xiaoou Tang;Xuelong Li;Xindong Wu

  • Transfer Learning for Visual Categorization: A Survey

    Ling Shao;Fan Zhu;Xuelong Li

  • A survey of graph edit distance

    Xinbo Gao;Bing Xiao;Dacheng Tao;Xuelong Li

  • Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization

    Yao Hu;Debing Zhang;Jieping Ye;Xuelong Li

  • Exploring Models and Data for Remote Sensing Image Caption Generation

    Xiaoqiang Lu;Binqiang Wang;Xiangtao Zheng;Xuelong Li

  • Single Image Super-Resolution With Non-Local Means and Steering Kernel Regression

    Kaibing Zhang;Xinbo Gao;Dacheng Tao;Xuelong Li

  • Computer vision and pattern recognition

    Nanning Zheng;George Loizou;Xiaoyi Jiang;Xuguang Lan

  • PixelLink: Detecting Scene Text via Instance Segmentation

    Dan Deng;Haifeng Liu;Xuelong Li;Deng Cai

  • Geometric Mean for Subspace Selection

    Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank

  • Learning k for kNN Classification

    Shichao Zhang;Xuelong Li;Ming Zong;Xiaofeng Zhu

  • Scene Classification With Recurrent Attention of VHR Remote Sensing Images

    Qi Wang;Shaoteng Liu;Jocelyn Chanussot;Xuelong Li

  • Multi-view Subspace Clustering

    Hongchang Gao;Feiping Nie;Xuelong Li;Heng Huang

  • Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection

    Chenping Hou;Feiping Nie;Xuelong Li;Dongyun Yi

  • Constrained Nonnegative Matrix Factorization for Image Representation

    Haifeng Liu;Zhaohui Wu;Xuelong Li;Deng Cai

  • Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours

    Feiping Nie;Guohao Cai;Xuelong Li

  • Supervised tensor learning

    Dacheng Tao;Xuelong Li;Weiming Hu;S. Maybank

  • Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search

    Yue Gao;Meng Wang;Zheng-Jun Zha;Jialie Shen

  • Self-weighted Multiview Clustering with Multiple Graphs.

    Feiping Nie;Jing Li;Xuelong Li

  • Parameter-free auto-weighted multiple graph learning: a framework for multiview clustering and semi-supervised classification

    Feiping Nie;Jing Li;Xuelong Li

Frequent Co-Authors

Dacheng Tao
Dacheng Tao Nanyang Technological University
Feiping Nie
Feiping Nie Northwestern Polytechnical University
Xinbo Gao
Xinbo Gao Xidian University
Qi Wang
Qi Wang Northwestern Polytechnical University
Xiaoqiang Lu
Xiaoqiang Lu Chinese Academy of Sciences
Yanwei Pang
Yanwei Pang Tianjin University
Qinghua Huang
Qinghua Huang Northwestern Polytechnical University
Yuan Yuan
Yuan Yuan Huawei Technologies (China)
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
Ling Shao
Ling Shao Terminus International

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