World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
6145
World Ranking
12037
National Ranking
1489

Shihong Du 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 Shihong Du 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: 122 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Shihong Du 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 Shihong Du 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Shihong Du is affiliated with Peking University in China and contributes to the field of Environmental Science, with a focus on remote sensing and urban studies. Their research spans several subfields including Global and Planetary Change, Media Technology, Transportation, Atmospheric Science, and Environmental Engineering.

The main topics covered in Shihong Du's research include Remote-Sensing Image Classification, Land Use and Ecosystem Services, Remote Sensing and Land Use, Impact of Light on Environment and Health, Urban Transport and Accessibility, Human Mobility and Location-Based Analysis, and Remote Sensing in Agriculture.

Notable recent publications by Shihong Du include:

  • Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach, 2021, Remote Sensing of Environment
  • Incorporating DeepLabv3+ and object-based image analysis for semantic segmentation of very high resolution remote sensing images, 2020, International Journal of Digital Earth
  • Large-scale urban functional zone mapping by integrating remote sensing images and open social data, 2020, GIScience & Remote Sensing

In addition to these, collaborative works include research on spatiotemporal perspectives of COVID-19 in the International Journal of Digital Earth (2020), and studies estimating carbon emissions in urban functional zones in Building and Environment (2022).

Frequent coauthors in Shihong Du's publications are:

  • Xiuyuan Zhang
  • Lubin Bai
  • Shouhang Du
  • Shuping Xiong
  • Bo Liu

Shihong Du's research has been published extensively in venues such as SSRN Electronic Journal, Remote Sensing of Environment, GIScience & Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, and Remote Sensing.

Best Publications

  • Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

    Wenzhi Zhao;Shihong Du

  • Learning multiscale and deep representations for classifying remotely sensed imagery

    Wenzhi Zhao;Shihong Du

  • Hierarchical semantic cognition for urban functional zones with VHR satellite images and POI data

    Xiuyuan Zhang;Shihong Du;Qiao Wang

  • The relationships between landscape compositions and land surface temperature: Quantifying their resolution sensitivity with spatial regression models

    Juer Song;Juer Song;Shihong Du;Xin Feng;Luo Guo

  • Object-Based Convolutional Neural Network for High-Resolution Imagery Classification

    Wenzhi Zhao;Shihong Du;William J. Emery

  • A Linear Dirichlet Mixture Model for decomposing scenes: Application to analyzing urban functional zonings

    Xiuyuan Zhang;Shihong Du

  • Multi-Scale Dense Networks for Hyperspectral Remote Sensing Image Classification

    Chunju Zhang;Guandong Li;Shihong Du

  • Semantic classification of urban buildings combining VHR image and GIS data: An improved random forest approach

    Shihong Du;Fangli Zhang;Xiuyuan Zhang

  • Quantifying the multilevel effects of landscape composition and configuration on land surface temperature

    Shihong Du;Ziqian Xiong;Yi-Chen Wang;Luo Guo

  • Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach

    Shouhang Du;Shihong Du;Shihong Du;Bo Liu;Xiuyuan Zhang

  • Incorporating DeepLabv3+ and object-based image analysis for semantic segmentation of very high resolution remote sensing images

    Shouji Du;Shihong Du;Bo Liu;Xiuyuan Zhang

  • Contextually guided very-high-resolution imagery classification with semantic segments

    Wenzhi Zhao;Shihong Du;Qiao Wang;William J. Emery

  • Taking the pulse of COVID-19: a spatiotemporal perspective

    Chaowei Yang;Dexuan Sha;Qian Liu;Yun Li

  • Large-scale urban functional zone mapping by integrating remote sensing images and open social data

    Shouji Du;Shihong Du;Bo Liu;Xiuyuan Zhang

  • Integrating bottom-up classification and top-down feedback for improving urban land-cover and functional-zone mapping

    Xiuyuan Zhang;Shihong Du;Qiao Wang

  • Scene classification using multi-scale deeply described visual words

    Wenzhi Zhao;Shihong Du

  • Mining parameter information for building extraction and change detection with very high-resolution imagery and GIS data

    Zhou Guo;Shihong Du

  • Learning selfhood scales for urban land cover mapping with very-high-resolution satellite images

    Xiuyuan Zhang;Shihong Du

  • Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification

    Unknown

  • Multiscale Geoscene Segmentation for Extracting Urban Functional Zones from VHR Satellite Images

    Xiuyuan Zhang;Shihong Du;Qiao Wang;Weiqi Zhou

  • Fuzzy description of topological relations I: a unified fuzzy 9-intersection model

    Shihong Du;Qiming Qin;Qiao Wang;Bin Li

  • Extracting building patterns with multilevel graph partition and building grouping

    Shihong Du;Liqun Luo;Kai Cao;Mi Shu

Frequent Co-Authors

William J. Emery
William J. Emery University of Colorado Boulder
Ayman Habib
Ayman Habib Purdue University West Lafayette
Shaowen Wang
Shaowen Wang University of Illinois at Urbana-Champaign

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