World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
96
Citations
38044
World Ranking
435
National Ranking
240

Qian 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 Qian 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: 598 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Qian 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 Qian 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: 96 D-Index — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2015 - SPIE Fellow

Overview

Qian Du is affiliated with Mississippi State University in the United States. Their research spans broadly across engineering and computer science fields, with a focus on media technology, computer vision and pattern recognition, atmospheric science, artificial intelligence, and aerospace engineering.

The primary areas of study include remote-sensing image classification, advanced image fusion techniques, remote sensing and land use, image and signal denoising methods, domain adaptation and few-shot learning, advanced image and video retrieval techniques, and advanced chemical sensor technologies.

The scientist has published extensively in several venues, particularly in:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Geoscience and Remote Sensing Letters
  • IEEE Transactions on Neural Networks and Learning Systems

Frequent coauthors collaborating with Qian Du include:

  • Yunsong Li
  • Wei Li
  • Junyu Dong
  • Heng-Chao Li
  • Jiaojiao Li

Notable recent papers authored or coauthored by Qian Du include:

  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey, 2021, IEEE Geoscience and Remote Sensing Magazine
  • Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • Spectral-Spatial Morphological Attention Transformer for Hyperspectral Image Classification, 2023, IEEE Transactions on Geoscience and Remote Sensing
  • Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification, 2021, IEEE Transactions on Geoscience and Remote Sensing

Qian Du has been recognized as a SPIE Fellow since 2015, reflecting a level of professional distinction within the scientific community.

Best Publications

  • Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

    J. M. Bioucas-Dias;A. Plaza;N. Dobigeon;M. Parente

  • Estimation of number of spectrally distinct signal sources in hyperspectral imagery

    Chein-I Chang;Qian Du

  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

    Danfeng Hong;Lianru Gao;Naoto Yokoya;Jing Yao

  • Hyperspectral Image Classification Using Deep Pixel-Pair Features

    Wei Li;Guodong Wu;Fan Zhang;Qian Du

  • A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification

    Chein-I Chang;Qian Du;Tzu-Lung Sun;M.L.G. Althouse

  • Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification

    Wei Li;Chen Chen;Hongjun Su;Qian Du

  • Collaborative Representation for Hyperspectral Anomaly Detection

    Wei Li;Qian Du

  • An improved box-counting method for image fractal dimension estimation

    Jian Li;Qian Du;Caixin Sun

  • Multisource Remote Sensing Data Classification Based on Convolutional Neural Network

    Xiaodong Xu;Wei Li;Qiong Ran;Qian Du

  • Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest

    Christian Debes;Andreas Merentitis;Roel Heremans;Jürgen T. Hahn

  • Diverse Region-Based CNN for Hyperspectral Image Classification

    Mengmeng Zhang;Wei Li;Qian Du

  • Hyperspectral Image Compression Using JPEG2000 and Principal Component Analysis

    Qian Du;J.E. Fowler

  • GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection.

    Qi Wang;Zhenghang Yuan;Qian Du;Xuelong Li

  • GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection

    Qi Wang;Zhenghang Yuan;Qian Du;Xuelong Li

  • Similarity-Based Unsupervised Band Selection for Hyperspectral Image Analysis

    Qian Du;He Yang

  • Hyperspectral Band Selection: A Review

    Weiwei Sun;Qian Du

  • Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery

    Wei Li;Guodong Wu;Qian Du

  • Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network

    Shaohui Mei;Xin Yuan;Jingyu Ji;Yifan Zhang

  • Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks

    Shaohui Mei;Jingyu Ji;Junhui Hou;Xu Li

  • An Efficient Method for Supervised Hyperspectral Band Selection

    He Yang;Qian Du;Hongjun Su;Yehua Sheng

  • Unsupervised Spatial–Spectral Feature Learning by 3D Convolutional Autoencoder for Hyperspectral Classification

    Shaohui Mei;Jingyu Ji;Yunhao Geng;Zhi Zhang

Frequent Co-Authors

Wei Li
Wei Li Beijing Institute of Technology
James E. Fowler
James E. Fowler Mississippi State University
Peijun Du
Peijun Du Nanjing University
Heng-Chao Li
Heng-Chao Li Southwest Jiaotong University
Hongjun Su
Hongjun Su Hohai University
Chein-I Chang
Chein-I Chang University of Maryland, Baltimore County
Junhui Hou
Junhui Hou City University of Hong Kong
Jiangtao Peng
Jiangtao Peng Hubei University
Lianru Gao
Lianru Gao Aerospace Information Research Institute
Antonio Plaza
Antonio Plaza University of Extremadura

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