World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
12710
World Ranking
4775
National Ranking
638

Zhenwei Shi 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 Zhenwei Shi 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: 218 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Zhenwei Shi 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 Zhenwei Shi 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: 53 D-Index — 67th percentile

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

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

Overview

Zhenwei Shi is affiliated with Beihang University in China and has an extensive research portfolio predominantly in the fields of Computer Science and Engineering. Their work covers a wide range of subfields, most notably Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Atmospheric Science, and Aerospace Engineering.

Their research centers on advanced methodologies and applications in remote sensing and image analysis. The main topics of their work include:

  • Remote-Sensing Image Classification
  • Advanced Image and Video Retrieval Techniques
  • Advanced Image Fusion Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques

Zhenwei Shi has contributed significantly to various reputable publication venues. The frequent venues where their research appears include:

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

Recent notable publications by Zhenwei Shi encompass a range of topics within remote sensing and computer vision:

  • "Object Detection in 20 Years: A Survey," 2023, Proceedings of the IEEE
  • "A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection," 2020, Remote Sensing
  • "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation Based on Visual Foundation Model," 2024, IEEE Transactions on Geoscience and Remote Sensing
  • "RSMamba: Remote Sensing Image Classification With State Space Model," 2024, IEEE Geoscience and Remote Sensing Letters
  • "Transformer-Based Multistage Enhancement for Remote Sensing Image Super-Resolution," 2021, IEEE Transactions on Geoscience and Remote Sensing

Collaborations form a significant part of Zhenwei Shi's work. Frequent coauthors include:

  • Zhengxia Zou
  • Keyan Chen
  • Bin Pan
  • Hao Chen
  • Chenyang Liu

Their research output demonstrates substantial involvement in interdisciplinary work combining computer vision techniques with remote sensing and geoscience, supported by a broad coauthor network and a strong presence in leading journals within these domains.

Best Publications

  • A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

    Hao Chen;Zhenwei Shi

  • Remote Sensing Image Change Detection With Transformers

    Hao Chen;Zipeng Qi;Zhenwei Shi

  • Object Detection in 20 Years: A Survey

    Zhengxia Zou;Zhenwei Shi;Yuhong Guo;Jieping Ye

  • Super-Resolution for Remote Sensing Images via Local–Global Combined Network

    Sen Lei;Zhenwei Shi;Zhengxia Zou

  • Ship Detection in Spaceborne Optical Image With SVD Networks

    Zhengxia Zou;Zhenwei Shi

  • Multilevel Cloud Detection in Remote Sensing Images Based on Deep Learning

    Fengying Xie;Mengyun Shi;Zhenwei Shi;Jihao Yin

  • MugNet: Deep learning for hyperspectral image classification using limited samples

    Bin Pan;Zhenwei Shi;Xia Xu

  • Ship Detection in High-Resolution Optical Imagery Based on Anomaly Detector and Local Shape Feature

    Zhenwei Shi;Xinran Yu;Zhiguo Jiang;Bo Li

  • Can a Machine Generate Humanlike Language Descriptions for a Remote Sensing Image

    Zhenwei Shi;Zhengxia Zou

  • Random Access Memories: A New Paradigm for Target Detection in High Resolution Aerial Remote Sensing Images

    Zhengxia Zou;Zhenwei Shi

  • Transformer-based Multi-Stage Enhancement for Remote Sensing Image Super-Resolution

    Unknown

  • R-VCANet: A New Deep-Learning-Based Hyperspectral Image Classification Method

    Bin Pan;Zhenwei Shi;Xia Xu

  • Single Remote Sensing Image Dehazing

    Jiao Long;Zhenwei Shi;Wei Tang;Changshui Zhang

  • Hierarchical Suppression Method for Hyperspectral Target Detection

    Zhengxia Zou;Zhenwei Shi

  • Building Extraction from Remote Sensing Images with Sparse Token Transformers

    Keyan Chen;Zhengxia Zou;Zhenwei Shi

  • Blind Separation of Superimposed Moving Images Using Image Statistics

    Kun Gai;Zhenwei Shi;Changshui Zhang

  • Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images

    Hao Chen;Wenyuan Li;Zhenwei Shi

  • Sparse Unmixing of Hyperspectral Data Using Spectral A Priori Information

    Wei Tang;Zhenwei Shi;Ying Wu;Changshui Zhang

  • Fully Convolutional Network With Task Partitioning for Inshore Ship Detection in Optical Remote Sensing Images

    Haoning Lin;Zhenwei Shi;Zhengxia Zou

  • Hybrid-Scale Self-Similarity Exploitation for Remote Sensing Image Super-Resolution

    Sen Lei;Zhenwei Shi

  • Coupled Adversarial Training for Remote Sensing Image Super-Resolution

    Sen Lei;Zhenwei Shi;Zhengxia Zou

  • Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling

    Zhiyao Duan;Yungang Zhang;Changshui Zhang;Zhenwei Shi

  • Subspace Matching Pursuit for Sparse Unmixing of Hyperspectral Data

    Zhenwei Shi;Wei Tang;Zhana Duren;Zhiguo Jiang

  • A Hierarchical Oil Tank Detector With Deep Surrounding Features for High-Resolution Optical Satellite Imagery

    Lu Zhang;Zhenwei Shi;Jun Wu

Frequent Co-Authors

Zhengxia Zou
Zhengxia Zou Beihang University
Changshui Zhang
Changshui Zhang Tsinghua University
Yi-Yuan Tang
Yi-Yuan Tang Arizona State University
Jie Meng
Jie Meng Peking University
Ying Wu
Ying Wu Northwestern University
Yangqiu Song
Yangqiu Song Hong Kong University of Science and Technology
Quan Chen
Quan Chen Alibaba Group (China)
Yun Zhang
Yun Zhang University of New Brunswick
Yuhong Guo
Yuhong Guo Carleton University
Xuelong Li
Xuelong Li China Telecom (China)

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