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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
109
Citations
56609
World Ranking
239
National Ranking
28

Huchuan Lu 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 Huchuan Lu 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: 458 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Huchuan Lu 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 Huchuan Lu 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: 109 D-Index — 98th percentile

98% 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

Overview

Huchuan Lu is a researcher affiliated with Dalian University of Technology in China, focusing primarily on the field of computer science. Their work extensively covers subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biomedical Engineering, and Cognitive Neuroscience.

The scientist has made significant contributions in several main topics within their domain. These include:

  • Visual Attention and Saliency Detection
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Multimodal Machine Learning Applications

Their recent publications highlight a focus on both foundational and applied aspects of image and video analysis. Notable papers include:

  • "Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection" (2022), published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Similarity Reasoning and Filtration for Image-Text Matching" (2021), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Reverse Attention-Based Residual Network for Salient Object Detection" (2020), published in IEEE Transactions on Image Processing
  • "Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline" (2022), published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking" (2021), published in IEEE Transactions on Image Processing

The scientist frequently collaborates with several co-authors, including:

  • Lihe Zhang
  • Dong Wang
  • Pingping Zhang
  • Xiaoqi Zhao
  • Youwei Pang

Their work has been published in a range of venues with repeated contributions to:

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

In addition to research articles, Huchuan Lu has authored multiple books published by Springer Science+Business Media, including the titles:

  • "Pattern Recognition and Computer Vision" (2020)
  • "Image and Graphics" (2023) [multiple editions]

Best Publications

  • Saliency Detection via Graph-Based Manifold Ranking

    Chuan Yang;Lihe Zhang;Huchuan Lu;Xiang Ruan

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • Deep Mutual Learning

    Ying Zhang;Tao Xiang;Timothy M. Hospedales;Huchuan Lu

  • Visual tracking via adaptive structural local sparse appearance model

    Xu Jia;Huchuan Lu;Ming-Hsuan Yang

  • Robust object tracking via sparsity-based collaborative model

    Wei Zhong;Huchuan Lu;Ming-Hsuan Yang

  • Learning to Detect Salient Objects with Image-Level Supervision

    Lijun Wang;Huchuan Lu;Yifan Wang;Mengyang Feng

  • Visual Tracking with Fully Convolutional Networks

    Lijun Wang;Wanli Ouyang;Xiaogang Wang;Huchuan Lu

  • Transformer Tracking

    Xin Chen;Bin Yan;Jiawen Zhu;Dong Wang

  • Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection

    Pingping Zhang;Dong Wang;Huchuan Lu;Hongyu Wang

  • Multi-Scale Interactive Network for Salient Object Detection

    Youwei Pang;Xiaoqi Zhao;Lihe Zhang;Huchuan Lu

  • Saliency Detection via Dense and Sparse Reconstruction

    Xiaohui Li;Huchuan Lu;Lihe Zhang;Xiang Ruan

  • Deep networks for saliency detection via local estimation and global search

    Lijun Wang;Huchuan Lu;Xiang Ruan;Ming-Hsuan Yang

  • Saliency Detection via Absorbing Markov Chain

    Bowen Jiang;Lihe Zhang;Huchuan Lu;Chuan Yang

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Superpixel tracking

    Shu Wang;Huchuan Lu;Fan Yang;Ming-Hsuan Yang

  • Progressive Attention Guided Recurrent Network for Salient Object Detection

    Xiaoning Zhang;Tiantian Wang;Jinqing Qi;Huchuan Lu

  • Pose-Invariant Embedding for Deep Person Re-Identification

    Liang Zheng;Yujia Huang;Huchuan Lu;Yi Yang

  • Saliency Detection with Recurrent Fully Convolutional Networks

    Linzhao Wang;Lijun Wang;Huchuan Lu;Pingping Zhang

  • Saliency detection via Cellular Automata

    Yao Qin;Huchuan Lu;Yiqun Xu;He Wang

Frequent Co-Authors

Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Yen-Wei Chen
Yen-Wei Chen Ritsumeikan University
Zhe Lin
Zhe Lin Adobe Systems (United States)
Ali Borji
Ali Borji Quintic AI
Chunhua Shen
Chunhua Shen Zhejiang University
Xiaohui Shen
Xiaohui Shen ByteDance
Michael Felsberg
Michael Felsberg Linköping University
Dawei Du
Dawei Du ByteDance
Longyin Wen
Longyin Wen ByteDance

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