World's Best Scientists 2026 revealed!
Yanfei Zhong

Yanfei Zhong

D-Index & Metrics

Computer Science

D-Index
75
Citations
17725
World Ranking
1435
National Ranking
194

Yanfei Zhong 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 Yanfei Zhong 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: 415 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Yanfei Zhong 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 Yanfei Zhong 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: 75 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Yanfei Zhong is affiliated with Wuhan University in China, contributing extensively to research in engineering, computer science, and environmental science. Their work primarily focuses on media technology, computer vision and pattern recognition, atmospheric science, ecology, and artificial intelligence.

Their research spans several key topics, including:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Remote Sensing in Agriculture
  • Advanced Image Fusion Techniques
  • Advanced Image and Video Retrieval Techniques
  • Automated Road and Building Extraction
  • Remote Sensing and LiDAR Applications

Yanfei Zhong has published in a range of high-impact venues. The most frequent publication outlets include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • arXiv (Cornell University)
  • Remote Sensing of Environment
  • International Journal of Applied Earth Observation and Geoinformation

Among notable recent papers credited to Yanfei Zhong is the 2020 publication "WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF" in Remote Sensing of Environment. This work is documented with substantial citations.

Yanfei Zhong frequently collaborates with several researchers, including:

  • Liangpei Zhang
  • Ailong Ma
  • Xinyu Wang
  • Zhuo Zheng
  • Junjue Wang

Frequent co-author Zhuo Zheng has independently published works relevant to the field, such as the 2021 paper "Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters" in Remote Sensing of Environment. Other notable contributions by associated researchers include work on land-use change detection and road extraction from very high-resolution satellite imagery.

Yanfei Zhong's research intersects domains that leverage advanced computational methods and remote sensing technologies for applications in agriculture, environmental monitoring, and urban infrastructure assessment. Their profile demonstrates an integration of engineering and computer science approaches to address spatial and spectral data interpretation challenges posed by remote sensing imagery.

Best Publications

  • AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

    Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi

  • AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification

    Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi

  • WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets and classifier for precise crop identification based on deep convolutional neural network with CRF

    Yanfei Zhong;Xin Hu;Chang Luo;Xinyu Wang

  • Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters

    Zhuo Zheng;Yanfei Zhong;Junjue Wang;Ailong Ma

  • Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery

    Qiqi Zhu;Yanfei Zhong;Bei Zhao;Gui-Song Xia

  • Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery

    Unknown

  • Pre-Trained AlexNet Architecture with Pyramid Pooling and Supervision for High Spatial Resolution Remote Sensing Image Scene Classification

    Xiaobing Han;Yanfei Zhong;Liqin Cao;Liangpei Zhang

  • Dirichlet-Derived Multiple Topic Scene Classification Model for High Spatial Resolution Remote Sensing Imagery

    Bei Zhao;Yanfei Zhong;Gui-Song Xia;Liangpei Zhang

  • Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery

    Zhuo Zheng;Yanfei Zhong;Junjue Wang;Ailong Ma

  • Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications

    Yanfei Zhong;Xinyu Wang;Yao Xu;Shaoyu Wang

  • A Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery

    Qiqi Zhu;Yanan Zhang;Lizeng Wang;Yanfei Zhong

  • Scene Classification Based on the Multifeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery

    Yanfei Zhong;Qiqi Zhu;Liangpei Zhang

  • Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing

    Xinyu Wang;Yanfei Zhong;Liangpei Zhang;Yanyan Xu

  • An Adaptive Artificial Immune Network for Supervised Classification of Multi-/Hyperspectral Remote Sensing Imagery

    Yanfei Zhong;Liangpei Zhang

  • Auto-AD: Autonomous Hyperspectral Anomaly Detection Network Based on Fully Convolutional Autoencoder

    Shaoyu Wang;Xinyu Wang;Liangpei Zhang;Yanfei Zhong

  • An unsupervised artificial immune classifier for multi/hyperspectral remote sensing imagery

    Yanfei Zhong;Liangpei Zhang;Bo Huang;Pingxiang Li

  • ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection

    Zhuo Zheng;Yanfei Zhong;Shiqi Tian;Ailong Ma

  • Dimensionality Reduction Based on Clonal Selection for Hyperspectral Imagery

    Liangpei Zhang;Yanfei Zhong;Bo Huang;Jianya Gong

  • SCViT: A Spatial-Channel Feature Preserving Vision Transformer for Remote Sensing Image Scene Classification

    Unknown

  • A new sub-pixel mapping algorithm based on a BP neural network with an observation model

    Liangpei Zhang;Ke Wu;Yanfei Zhong;Pingxiang Li

  • LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

    Junjue Wang;Zhuo Zheng;Ailong Ma;Xiaoyan Lu

  • Computational intelligence in optical remote sensing image processing

    Yanfei Zhong;Ailong Ma;Yew soon Ong;Zexuan Zhu

  • An Efficient and Robust Integrated Geospatial Object Detection Framework for High Spatial Resolution Remote Sensing Imagery

    Xiaobing Han;Yanfei Zhong;Liangpei Zhang

  • FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

    Zhuo Zheng;Yanfei Zhong;Ailong Ma;Liangpei Zhang

Frequent Co-Authors

Liangpei Zhang
Liangpei Zhang Wuhan University
Gui-Song Xia
Gui-Song Xia Wuhan University
Lizhe Wang
Lizhe Wang China University of Geosciences
Xiaohua Tong
Xiaohua Tong Tongji University
Deren Li
Deren Li Wuhan University
Antonio Plaza
Antonio Plaza University of Extremadura
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Huanfeng Shen
Huanfeng Shen Wuhan University
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Petri Pellikka
Petri Pellikka University of Helsinki

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