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Huanfeng Shen

Huanfeng Shen

Wuhan University
China

D-Index & Metrics

Computer Science

D-Index
76
Citations
21874
World Ranking
1348
National Ranking
179

Huanfeng Shen 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 Huanfeng Shen 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: 343 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Huanfeng Shen 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 Huanfeng Shen 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: 76 D-Index — 91st percentile

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

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

Overview

Huanfeng Shen is affiliated with Wuhan University in China and has a significant body of work in the fields of Environmental Science, Engineering, and Computer Science. Their research spans several subfields including Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Environmental Engineering, and Global and Planetary Change.

The scientist's research primarily focuses on advanced topics in remote sensing and environmental applications. Key areas of study include:

  • Advanced Image Fusion Techniques
  • Remote Sensing in Agriculture
  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Urban Heat Island Mitigation
  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques

Huanfeng Shen frequently publishes in a range of respected journals, often contributing to venues such as:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • International Journal of Applied Earth Observation and Geoinformation
  • arXiv (Cornell University)

Several recent papers illustrate the scope and impact of their research, including:

  • Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data, 2020, Remote Sensing of Environment
  • Deep learning in environmental remote sensing: Achievements and challenges, 2020, Remote Sensing of Environment
  • Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Big Data in Earth system science and progress towards a digital twin, 2023, Nature Reviews Earth & Environment
  • Quantifying 3D building form effects on urban land surface temperature and modeling seasonal correlation patterns, 2021, Building and Environment

Collaboration is a significant part of their work, with frequent coauthors including:

  • Qiangqiang Yuan
  • Liangpei Zhang
  • Xinghua Li
  • Huifang Li
  • Xiaobin Guan

Best Publications

  • Deep learning in environmental remote sensing: Achievements and challenges

    Qiangqiang Yuan;Huanfeng Shen;Tongwen Li;Zhiwei Li

  • Hyperspectral Image Restoration Using Low-Rank Matrix Recovery

    Hongyan Zhang;Wei He;Liangpei Zhang;Huanfeng Shen

  • Land-cover classification with high-resolution remote sensing images using transferable deep models

    Xin-Yi Tong;Gui-Song Xia;Qikai Lu;Huanfeng Shen

  • Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration

    Wei He;Hongyan Zhang;Liangpei Zhang;Huanfeng Shen

  • Hyperspectral Image Denoising Employing a Spectral–Spatial Adaptive Total Variation Model

    Qiangqiang Yuan;Liangpei Zhang;Huanfeng Shen

  • Image super-resolution

    Linwei Yue;Huanfeng Shen;Jie Li;Qiangqiang Yuan

  • A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening

    Qiangqiang Yuan;Yancong Wei;Xiangchao Meng;Huanfeng Shen

  • Estimating Ground-Level PM2.5 by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach

    Tongwen Li;Huanfeng Shen;Qiangqiang Yuan;Xuechen Zhang

  • Missing Information Reconstruction of Remote Sensing Data: A Technical Review

    Huanfeng Shen;Xinghua Li;Qing Cheng;Chao Zeng

  • Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network

    Yancong Wei;Qiangqiang Yuan;Huanfeng Shen;Liangpei Zhang

  • Long-term and fine-scale satellite monitoring of the urban heat island effect by the fusion of multi-temporal and multi-sensor remote sensed data: A 26-year case study of the city of Wuhan in China

    Huanfeng Shen;Liwen Huang;Liangpei Zhang;Penghai Wu

  • A super-resolution reconstruction algorithm for surveillance images

    Liangpei Zhang;Hongyan Zhang;Huanfeng Shen;Pingxiang Li

  • A MAP Approach for Joint Motion Estimation, Segmentation, and Super Resolution

    Huanfeng Shen;Liangpei Zhang;Bo Huang;Pingxiang Li

  • Recovering missing pixels for Landsat ETM + SLC-off imagery using multi-temporal regression analysis and a regularization method

    Chao Zeng;Huanfeng Shen;Liangpei Zhang

  • An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images

    Huanfeng Shen;Xiangchao Meng;Liangpei Zhang

  • A MAP-Based Algorithm for Destriping and Inpainting of Remotely Sensed Images

    Huanfeng Shen;Liangpei Zhang

  • Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges

    Xiangchao Meng;Huanfeng Shen;Huifang Li;Liangpei Zhang

  • Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors

    Zhiwei Li;Huanfeng Shen;Qing Cheng;Yuhao Liu

  • Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning

    Xinghua Li;Huanfeng Shen;Liangpei Zhang;Hongyan Zhang

  • Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network.

    Qiangqiang Yuan;Qiang Zhang;Jie Li;Huanfeng Shen

  • Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery

    Zhiwei Li;Huanfeng Shen;Huifang Li;Guisong Xia

  • Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation

    Wei He;Hongyan Zhang;Liangpei Zhang;Huanfeng Shen

  • A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video

    Michael K. Ng;Huanfeng Shen;Huanfeng Shen;Edmund Y. Lam;Liangpei Zhang

  • Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the mapping of high spatial and temporal resolution land surface temperature

    Penghai Wu;Huanfeng Shen;Liangpei Zhang;Frank-Michael Göttsche

Frequent Co-Authors

Liangpei Zhang
Liangpei Zhang Wuhan University
Qiangqiang Yuan
Qiangqiang Yuan Wuhan University
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Zhiwei Li
Zhiwei Li Central South University
Pingxiang Li
Pingxiang Li Wuhan University
Gui-Song Xia
Gui-Song Xia Wuhan University
Wei Gong
Wei Gong Wuhan University
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Paolo Gamba
Paolo Gamba University of Pavia
Lunche Wang
Lunche Wang China University of Geosciences

External Links

Google Scholar page

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