World's Best Scientists 2026 revealed!
Zhenfeng Shao

Zhenfeng Shao

D-Index & Metrics

Computer Science

D-Index
52
Citations
10284
World Ranking
5110
National Ranking
693

Zhenfeng Shao 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 Zhenfeng Shao 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: 214 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Zhenfeng Shao 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 Zhenfeng Shao 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Zhenfeng Shao is affiliated with Wuhan University in China and has contributed extensively to research in environmental science, computer science, and engineering. Their work spans several subfields, including computer vision and pattern recognition, global and planetary change, media technology, environmental engineering, and ecology.

The scientist has focused mainly on topics related to land use and ecosystem services, remote-sensing image classification, remote sensing in agriculture, urban heat island mitigation, remote sensing and land use, advanced image fusion techniques, and advanced image and video retrieval techniques.

Some of Zhenfeng Shao's recent publications include:

  • "GANMcC: A Generative Adversarial Network With Multiclassification Constraints for Infrared and Visible Image Fusion," 2020, IEEE Transactions on Instrumentation and Measurement
  • "A review of multimodal image matching: Methods and applications," 2021, Information Fusion
  • "MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion," 2020, Information Fusion
  • "Smart city based on digital twins," 2021, Computational Urban Science
  • "BRRNet: A Fully Convolutional Neural Network for Automatic Building Extraction From High-Resolution Remote Sensing Images," 2020, Remote Sensing

They have published notably in the following venues:

  • Remote Sensing
  • Geo-spatial Information Science
  • Photogrammetric Engineering & Remote Sensing
  • International Journal of Applied Earth Observation and Geoinformation
  • IEEE Transactions on Geoscience and Remote Sensing

Zhenfeng Shao collaborates frequently with a group of co-authors including Xiao Huang, Jiaming Wang, Deren Li, Qingwei Zhuang, and Bowen Cai.

They also have a contribution in book publications, notably with the publisher WSPC/HEP eBooks for the book entitled "Urban Remote Sensing" published in 2022.

Best Publications

  • GANMcC: A Generative Adversarial Network With Multiclassification Constraints for Infrared and Visible Image Fusion

    Jiayi Ma;Hao Zhang;Zhenfeng Shao;Pengwei Liang

  • PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval

    Weixun Zhou;Shawn D. Newsam;Congmin Li;Zhenfeng Shao

  • A review of multimodal image matching: Methods and applications

    Xingyu Jiang;Jiayi Ma;Guobao Xiao;Zhenfeng Shao

  • SeaShips: A Large-Scale Precisely Annotated Dataset for Ship Detection

    Zhenfeng Shao;Wenjing Wu;Zhongyuan Wang;Wan Du

  • Remote Sensing Image Fusion With Deep Convolutional Neural Network

    Zhenfeng Shao;Jiajun Cai

  • MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion

    Hao Zhang;Zhuliang Le;Zhenfeng Shao;Han Xu

  • ‘Big data’ for pedestrian volume: Exploring the use of Google Street View images for pedestrian counts

    Li Yin;Qimin Cheng;Zhenxin Wang;Zhenfeng Shao

  • Urban sprawl and its impact on sustainable urban development: a combination of remote sensing and social media data

    Zhenfeng Shao;Neema S. Sumari;Aleksei Portnov;Fanan Ujoh

  • BRRNet: A Fully Convolutional Neural Network for Automatic Building Extraction From High-Resolution Remote Sensing Images

    Zhenfeng Shao;Penghao Tang;Zhongyuan Wang;Nayyer Saleem

  • Deep learning-based fusion of Landsat-8 and Sentinel-2 images for a harmonized surface reflectance product

    Zhenfeng Shao;Jiajun Cai;Jiajun Cai;Peng Fu;Leiqiu Hu

  • Cloud Detection in Remote Sensing Images Based on Multiscale Features-Convolutional Neural Network

    Zhenfeng Shao;Yin Pan;Chunyuan Diao;Jiajun Cai

  • Saliency-Aware Convolution Neural Network for Ship Detection in Surveillance Video

    Zhenfeng Shao;Linggang Wang;Zhongyuan Wang;Wan Du

  • Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network

    Zhenfeng Shao;Weixun Zhou;Xueqing Deng;Maoding Zhang

  • Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval

    Weixun Zhou;Shawn D. Newsam;Congmin Li;Zhenfeng Shao

  • Remote sensing monitoring of multi-scale watersheds impermeability for urban hydrological evaluation

    Zhenfeng Shao;Huyan Fu;Deren Li;Orhan Altan

  • Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China

    Zhenfeng Shao;Md. Enamul Huq;Bowen Cai;Orhan Altan

  • Performance Evaluation of Single-Label and Multi-Label Remote Sensing Image Retrieval Using a Dense Labeling Dataset

    Zhenfeng Shao;Ke Yang;Weixun Zhou

  • Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data

    Linjing Zhang;Zhenfeng Shao;Jianchen Liu;Qimin Cheng

  • Smart Monitoring Cameras Driven Intelligent Processing to Big Surveillance Video Data

    Zhenfeng Shao;Jiajun Cai;Zhongyuan Wang

  • Real-time and Accurate UAV Pedestrian Detection for Social Distancing Monitoring in COVID-19 Pandemic

    Zhenfeng Shao;Gui Cheng;Jiayi Ma;Zhongyuan Wang

  • Multi-Temporal Ultra Dense Memory Network for Video Super-Resolution

    Peng Yi;Zhongyuan Wang;Kui Jiang;Zhenfeng Shao

Frequent Co-Authors

Deren Li
Deren Li Wuhan University
Jiayi Ma
Jiayi Ma Wuhan University
Lin Ding
Lin Ding Chinese Academy of Sciences
Shawn Newsam
Shawn Newsam University of California, Merced
Junjun Jiang
Junjun Jiang Harbin Institute of Technology
Xiaojie Guo
Xiaojie Guo Tianjin University
Qihao Weng
Qihao Weng Hong Kong Polytechnic University
Le Wang
Le Wang University at Buffalo, State University of New York
Shah Fahad
Shah Fahad University of Swabi
Manzer H. Siddiqui
Manzer H. Siddiqui King Saud University

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