World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
11350
World Ranking
3682
National Ranking
491

Peijun 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 Peijun 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: 268 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Peijun 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 Peijun 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Peijun Du is affiliated with Nanjing Normal University in China and conducts research primarily in the fields of Environmental Science and Engineering. Their work spans multiple subfields including Media Technology, Atmospheric Science, Global and Planetary Change, Environmental Engineering, and Ecology.

Their research topics cover a range of applications within remote sensing and environmental studies, notably:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Land Use and Ecosystem Services
  • Remote Sensing in Agriculture
  • Urban Heat Island Mitigation
  • Urban Green Space and Health
  • Remote Sensing and LiDAR Applications

Peijun Du has a publication record that includes research in several well-regarded venues. Frequent publication venues are:

  • IEEE Transactions on Geoscience and Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation
  • SSRN Electronic Journal
  • IEEE Geoscience and Remote Sensing Letters
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Recent papers authored or coauthored by Peijun Du include:

  • "A global record of annual terrestrial Human Footprint dataset from 2000 to 2018" (2022), published in Scientific Data
  • "Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning" (2020), published in Journal of Hazardous Materials
  • "Advances of Four Machine Learning Methods for Spatial Data Handling: a Review" (2020), published in Journal of Geovisualization and Spatial Analysis
  • "Ensemble Learning for Hyperspectral Image Classification Using Tangent Collaborative Representation" (2020), published in IEEE Transactions on Geoscience and Remote Sensing
  • "S3Net: Spectral-Spatial Siamese Network for Few-Shot Hyperspectral Image Classification" (2022), published in IEEE Transactions on Geoscience and Remote Sensing

The scientist regularly collaborates with several frequent coauthors. These include:

  • Shanchuan Guo
  • Hong Fang
  • Zilong Xia
  • Xin Wang
  • Pengfei Tang

Best Publications

  • A review of supervised object-based land-cover image classification

    Lei Ma;Manchun Li;Xiaoxue Ma;Xiaoxue Ma;Liang Cheng

  • Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features

    Peijun Du;Alim Samat;Björn Waske;Sicong Liu

  • Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging

    Jaime Zabalza;Jinchang Ren;Jiangbin Zheng;Huimin Zhao

  • Multiple Classifier System for Remote Sensing Image Classification: A Review

    Peijun Du;Junshi Xia;Wei Zhang;Kun Tan

  • Integrating Multilayer Features of Convolutional Neural Networks for Remote Sensing Scene Classification

    Erzhu Li;Junshi Xia;Peijun Du;Cong Lin

  • ${{ m E}^{2}}{ m LMs}$ : Ensemble Extreme Learning Machines for Hyperspectral Image Classification

    Alim Samat;Peijun Du;Sicong Liu;Jun Li

  • Hyperspectral Remote Sensing Image Classification Based on Rotation Forest

    Junshi Xia;Peijun Du;Xiyan He;Jocelyn Chanussot

  • Information fusion techniques for change detection from multi-temporal remote sensing images

    Peijun Du;Sicong Liu;Junshi Xia;Yindi Zhao

  • Estimation of the spatial distribution of heavy metal in agricultural soils using airborne hyperspectral imaging and random forest.

    Kun Tan;Kun Tan;Huimin Wang;Lihan Chen;Qian Du

  • Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning

    Kun Tan;Kun Tan;Weibo Ma;Lihan Chen;Huimin Wang

  • Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images

    Sicong Liu;Lorenzo Bruzzone;Francesca Bovolo;Massimo Zanetti

  • Fusion of Difference Images for Change Detection Over Urban Areas

    Peijun Du;Sicong Liu;P. Gamba;Kun Tan

  • Optimized Hyperspectral Band Selection Using Particle Swarm Optimization

    Hongjun Su;Qian Du;Genshe Chen;Peijun Du

  • Spatiotemporal Pattern of PM 2.5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression

    Jieqiong Luo;Peijun Du;Alim Samat;Junshi Xia

  • Advances of Four Machine Learning Methods for Spatial Data Handling: a Review

    Peijun Du;Peijun Du;Xuyu Bai;Xuyu Bai;Kun Tan;Zhaohui Xue

  • Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images

    Sicong Liu;Lorenzo Bruzzone;Francesca Bovolo;Peijun Du

  • Random Subspace Ensembles for Hyperspectral Image Classification With Extended Morphological Attribute Profiles

    Junshi Xia;Mauro Dalla Mura;Jocelyn Chanussot;Peijun Du

  • Spectral–Spatial Classification for Hyperspectral Data Using Rotation Forests With Local Feature Extraction and Markov Random Fields

    Junshi Xia;Jocelyn Chanussot;Peijun Du;Xiyan He

  • Hyperspectral Image Classification With Rotation Random Forest Via KPCA

    Junshi Xia;Nicola Falco;Jon Atli Benediktsson;Peijun Du

  • Caps-TripleGAN: GAN-Assisted CapsNet for Hyperspectral Image Classification

    Xue Wang;Kun Tan;Qian Du;Yu Chen

Frequent Co-Authors

Qian Du
Qian Du Mississippi State University
Hongjun Su
Hongjun Su Hohai University
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Paolo Gamba
Paolo Gamba University of Pavia
Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Francesca Bovolo
Francesca Bovolo Fondazione Bruno Kessler
Yifang Ban
Yifang Ban Royal Institute of Technology
Antonio Plaza
Antonio Plaza University of Extremadura
Jinchang Ren
Jinchang Ren Robert Gordon University
Peng Gong
Peng Gong University of Hong Kong

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