World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
14384
World Ranking
2634
National Ranking
362

Wenzhong 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 Wenzhong 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: 488 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Wenzhong 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 Wenzhong 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Wenzhong Shi is affiliated with Hong Kong Polytechnic University in China and specializes primarily in the fields of Engineering and Environmental Science. Their research contributions span various subfields including Transportation, Media Technology, Global and Planetary Change, Environmental Engineering, and Atmospheric Science.

The main topics of their work address a range of applications related to remote sensing and urban studies, such as:

  • Remote-Sensing Image Classification
  • Human Mobility and Location-Based Analysis
  • Remote Sensing and LiDAR Applications
  • Remote Sensing in Agriculture
  • 3D Surveying and Cultural Heritage
  • Remote Sensing and Land Use
  • Urban Transport and Accessibility

Among recent scientific articles to which Wenzhong Shi has contributed, the following papers stand out:

  • Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges, 2020, Remote Sensing
  • Landslide Recognition by Deep Convolutional Neural Network and Change Detection, 2020, IEEE Transactions on Geoscience and Remote Sensing

Frequent coauthors with whom Wenzhong Shi has collaborated include Anshu Zhang, Min Zhang, Chengzhuo Tong, Zhewei Liu, and Zhicheng Shi. These collaborations have contributed significantly to their joint research output.

The most common publication venues where Wenzhong Shi's work appears are:

  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • ISPRS International Journal of Geo-Information
  • International Journal of Applied Earth Observation and Geoinformation
  • SSRN Electronic Journal
  • Remote Sensing

Wenzhong Shi has also authored a book titled Urban Informatics, published in 2021 by Springer International Publishing.

Best Publications

  • Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges

    Wenzhong Shi;Min Zhang;Min Zhang;Rui Zhang;Shanxiong Chen;Shanxiong Chen

  • Wavelet-based image fusion and quality assessment

    Wen Zhong Shi;Chang Qing Zhu;Yan Tian;Janet Elizabeth Nichol

  • A Feature Difference Convolutional Neural Network-Based Change Detection Method

    Min Zhang;Wenzhong Shi

  • Confidence Analysis of Standard Deviational Ellipse and Its Extension into Higher Dimensional Euclidean Space

    Bin Wang;Wen Zhong Shi;Zelang Miao

  • Quality assessment for geo‐spatial objects derived from remotely sensed data

    Qingming Zhan;Martien Molenaar;Klaus Tempfli;Wenzhong Shi

  • Fusion of Sentinel-2 images

    Qunming Wang;Wenzhong Shi;Zhongbin Li;Peter Michael Atkinson;Peter Michael Atkinson;Peter Michael Atkinson

  • Topological models and frameworks for 3D spatial objects

    Unknown

  • An Integrated Method for Urban Main-Road Centerline Extraction From Optical Remotely Sensed Imagery

    Wenzhong Shi;Zelang Miao;Johan Debayle

  • Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

    Wen Zhong Shi

  • Assessing the effects of land use spatial structure on urban heat islands using HJ-1B remote sensing imagery in Wuhan, China

    Hao Wu;Hao Wu;Lu Ping Ye;Wen Zhong Shi;Keith C. Clarke

  • Performance Evaluation of Line Simplification Algorithms for Vector Generalization

    Wen Zhong Shi;Chui Kwan Cheung

  • Spatial Data Quality

    Wenzhong Shi;F. Peter Fisher;Michael F. Goodchild

  • Multisource Image Fusion Method Using Support Value Transform

    Zheng Sheng;Shi Wen-Zhong;Jian Liu;Guang-Xi Zhu

  • A stochastic process-based model for the positional error of line segments in GIS

    Wenzhong Shi;Wenbao Liu

  • Downscaling MODIS images with area-to-point regression kriging

    Qunming Wang;Wenzhong Shi;Peter Michael Atkinson;Peter Michael Atkinson;Peter Michael Atkinson;Yuanling Zhao

  • Land-use/land-cover change and its influence on surface temperature: a case study in Beijing City

    Haiyong Ding;Wenzhong Shi

  • Development of Voronoi-based cellular automata -an integrated dynamic model for Geographical Information Systems

    Wenzhong Shi;Matthew Yick Cheung Pang

  • Landslide mapping from aerial photographs using change detection-based Markov random field

    Zhongbin Li;Zhongbin Li;Wenzhong Shi;Ping Lu;Lin Yan

  • Road Centerline Extraction From High-Resolution Imagery Based on Shape Features and Multivariate Adaptive Regression Splines

    Zelang Miao;Wenzhong Shi;Hua Zhang;Xinxin Wang

  • The line segment match method for extracting road network from high-resolution satellite images

    Wenzhong Shi;Changqing Zhu

  • Remote Sensing Image Fusion Using Multiscale Mapped LS-SVM

    Sheng Zheng;Wen-zhong Shi;Jian Liu;Jinwen Tian

  • Thirty years of research on spatial data quality : achievements, failures and opportunities

    Rodolphe Devillers;Alfred Stein;Yvan Bédard;Nicholas Chrisman

  • A generic statistical approach for modelling error of geometric features in gis

    Wenzhong Shi

Frequent Co-Authors

Qunming Wang
Qunming Wang Tongji University
Peter M. Atkinson
Peter M. Atkinson Lancaster University
Xiaohua Tong
Xiaohua Tong Tongji University
Zhanqing Li
Zhanqing Li University of Maryland, College Park
Michael F. Goodchild
Michael F. Goodchild University of California, Santa Barbara
Keith C. Clarke
Keith C. Clarke University of California, Santa Barbara
Alfred Stein
Alfred Stein University of Twente
Bisheng Yang
Bisheng Yang Wuhan University
Man Sing Wong
Man Sing Wong Hong Kong Polytechnic University
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland

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