World's Best Scientists 2026 revealed!
Lefei Zhang

Lefei Zhang

D-Index & Metrics

Computer Science

D-Index
51
Citations
12850
World Ranking
5265
National Ranking
710

Lefei Zhang 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 Lefei Zhang 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: 168 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Lefei Zhang 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 Lefei Zhang 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Lefei Zhang is affiliated with Wuhan University in China and has a significant body of research focused on computer science and engineering, particularly in the fields of computer vision, pattern recognition, and remote sensing. Their work spans numerous topics related to artificial intelligence and advanced image analysis, with a particular emphasis on remote sensing data and domain adaptation.

The main fields of study for Lefei Zhang include:

  • Computer Science
  • Engineering

Within these broad areas, their subfields of expertise cover:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Media Technology
  • Atmospheric Science
  • Ocean Engineering

The scientist's primary research topics encompass:

  • Remote-Sensing Image Classification
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Advanced Image Fusion Techniques
  • Advanced Image and Video Retrieval Techniques
  • Advanced Image Processing Techniques

Frequent collaborators include:

  • Zuchao Li (29 joint publications)
  • Bo Du (26 joint publications)
  • Dacheng Tao (22 joint publications)
  • Liangpei Zhang (15 joint publications)
  • Meng Lan (9 joint publications)

Lefei Zhang has published extensively in several scientific venues. The most frequent publication platforms are:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Image Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Pattern Recognition

Notable recent papers authored or coauthored by Lefei Zhang include:

  • Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities (2022), IEEE Geoscience and Remote Sensing Magazine
  • Stagewise Unsupervised Domain Adaptation With Adversarial Self-Training for Road Segmentation of Remote-Sensing Images (2021), IEEE Transactions on Geoscience and Remote Sensing

Additional related recent papers, although not solely authored by Zhang, appear relevant to the research focus:

  • Unsupervised domain adaptive re-identification: Theory and practice (2020), Pattern Recognition
  • Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification (2020), IEEE Transactions on Geoscience and Remote Sensing
  • MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification (2024), IEEE Transactions on Geoscience and Remote Sensing

Best Publications

  • Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

    Liangpei Zhang;Lefei Zhang;Bo Du

  • Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities

    Unknown

  • Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification

    Sheng Wan;Chen Gong;Ping Zhong;Bo Du

  • On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification

    Lefei Zhang;Liangpei Zhang;Dacheng Tao;Xin Huang

  • Stacked Convolutional Denoising Auto-Encoders for Feature Representation

    Bo Du;Wei Xiong;Jia Wu;Lefei Zhang

  • Recurrent Feature Reasoning for Image Inpainting

    Jingyuan Li;Ning Wang;Lefei Zhang;Bo Du

  • Unsupervised Domain Adaptive Re-Identification: Theory and Practice

    Liangchen Song;Cheng Wang;Lefei Zhang;Bo Du

  • Tensor Discriminative Locality Alignment for Hyperspectral Image Spectral–Spatial Feature Extraction

    Liangpei Zhang;Lefei Zhang;Dacheng Tao;Xin Huang

  • Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding

    Lefei Zhang;Qian Zhang;Liangpei Zhang;Dacheng Tao

  • Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image

    Fulin Luo;Bo Du;Liangpei Zhang;Lefei Zhang

  • Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images.

    Lefei Zhang;Qian Zhang;Bo Du;Xin Huang

  • Hyperspectral image unsupervised classification by robust manifold matrix factorization

    Lefei Zhang;Liangpei Zhang;Bo Du;Jane You

  • Hyperspectral Remote Sensing Image Subpixel Target Detection Based on Supervised Metric Learning

    Lefei Zhang;Liangpei Zhang;Dacheng Tao;Xin Huang

  • Dimensionality Reduction With Enhanced Hybrid-Graph Discriminant Learning for Hyperspectral Image Classification

    Fulin Luo;Liangpei Zhang;Bo Du;Lefei Zhang

  • Exploring Representativeness and Informativeness for Active Learning

    Bo Du;Zengmao Wang;Lefei Zhang;Liangpei Zhang

  • Sparse Transfer Manifold Embedding for Hyperspectral Target Detection

    Lefei Zhang;Liangpei Zhang;Dacheng Tao;Xin Huang

  • Nonlocal Low-Rank Tensor Completion for Visual Data

    Lefei Zhang;Liangchen Song;Bo Du;Yipeng Zhang

  • PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images

    Bo Du;Mengfei Zhang;Lefei Zhang;Ruimin Hu

  • Progressive Reconstruction of Visual Structure for Image Inpainting

    Jingyuan Li;Fengxiang He;Lefei Zhang;Bo Du

  • Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery

    Xian Guo;Xin Huang;Lefei Zhang;Liangpei Zhang

  • Compression of hyperspectral remote sensing images by tensor approach

    Lefei Zhang;Liangpei Zhang;Dacheng Tao;Xin Huang

Frequent Co-Authors

Bo Du
Bo Du Wuhan University
Liangpei Zhang
Liangpei Zhang Wuhan University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Jane You
Jane You Hong Kong Polytechnic University
Jia Wu
Jia Wu Macquarie University
Xuelong Li
Xuelong Li China Telecom (China)
Chang Xu
Chang Xu University of Sydney
Xinggang Wang
Xinggang Wang Huazhong University of Science and Technology
Jialie Shen
Jialie Shen City, University of London
Jing-Hao Xue
Jing-Hao Xue University College London

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