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Huanfeng Shen

Huanfeng Shen

Wuhan University
China

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 76 1348 1306 179 177 343 21874

Huanfeng Shen publications per year

The chart shows the history of publications by Huanfeng Shen between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Huanfeng Shen published across 22 years, from 2004 to 2025, averaging 21 papers a year. Output peaked at 53 publications in 2021. 84 of the 461 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 53. Peak 53 publications in 2021. 2004: 1 publication 2005: 0 publications 2006: 0 publications 2007: 2 publications 2008: 2 publications 2009: 4 publications 2010: 3 publications 2011: 5 publications 2012: 12 publications 2013: 7 publications 2014: 28 publications 2015: 25 publications 2016: 45 publications 2017: 24 publications 2018: 30 publications 2019: 46 publications 2020: 29 publications 2021: 53 publications 2022: 29 publications 2023: 32 publications 2024: 47 publications 2025: 37 publications
2004 2025

461 publications in total across all disciplines

View publications per year as a table
Huanfeng Shen: publications per year, 2004 to 2025
Year Publications
2004 1
2005 0
2006 0
2007 2
2008 2
2009 4
2010 3
2011 5
2012 12
2013 7
2014 28
2015 25
2016 45
2017 24
2018 30
2019 46
2020 29
2021 53
2022 29
2023 32
2024 47
2025 37
Total 461
Download as CSV

Huanfeng Shen 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 Huanfeng Shen sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 342–351 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 343 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208 343
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Huanfeng Shen 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 Huanfeng Shen sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 76–77 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 76 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139 76
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Huanfeng Shen is affiliated with Wuhan University in China and has a significant body of work in the fields of Environmental Science, Engineering, and Computer Science. Their research spans several subfields including Media Technology, Atmospheric Science, Computer Vision and Pattern Recognition, Environmental Engineering, and Global and Planetary Change.

The scientist's research primarily focuses on advanced topics in remote sensing and environmental applications. Key areas of study include:

  • Advanced Image Fusion Techniques
  • Remote Sensing in Agriculture
  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Urban Heat Island Mitigation
  • Image and Signal Denoising Methods
  • Advanced Image Processing Techniques

Huanfeng Shen frequently publishes in a range of respected journals, often contributing to venues such as:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Zenodo (CERN European Organization for Nuclear Research)
  • International Journal of Applied Earth Observation and Geoinformation
  • arXiv (Cornell University)

Several recent papers illustrate the scope and impact of their research, including:

  • Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data, 2020, Remote Sensing of Environment
  • Deep learning in environmental remote sensing: Achievements and challenges, 2020, Remote Sensing of Environment
  • Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • Big Data in Earth system science and progress towards a digital twin, 2023, Nature Reviews Earth & Environment
  • Quantifying 3D building form effects on urban land surface temperature and modeling seasonal correlation patterns, 2021, Building and Environment

Collaboration is a significant part of their work, with frequent coauthors including:

  • Qiangqiang Yuan
  • Liangpei Zhang
  • Xinghua Li
  • Huifang Li
  • Xiaobin Guan

Best Publications

  • Deep learning in environmental remote sensing: Achievements and challenges

    Qiangqiang Yuan;Huanfeng Shen;Tongwen Li;Zhiwei Li

  • Hyperspectral Image Restoration Using Low-Rank Matrix Recovery

    Hongyan Zhang;Wei He;Liangpei Zhang;Huanfeng Shen

  • Land-cover classification with high-resolution remote sensing images using transferable deep models

    Xin-Yi Tong;Gui-Song Xia;Qikai Lu;Huanfeng Shen

  • Total-Variation-Regularized Low-Rank Matrix Factorization for Hyperspectral Image Restoration

    Wei He;Hongyan Zhang;Liangpei Zhang;Huanfeng Shen

  • Hyperspectral Image Denoising Employing a Spectral–Spatial Adaptive Total Variation Model

    Qiangqiang Yuan;Liangpei Zhang;Huanfeng Shen

  • Image super-resolution

    Linwei Yue;Huanfeng Shen;Jie Li;Qiangqiang Yuan

  • A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening

    Qiangqiang Yuan;Yancong Wei;Xiangchao Meng;Huanfeng Shen

  • Estimating Ground-Level PM2.5 by Fusing Satellite and Station Observations: A Geo-Intelligent Deep Learning Approach

    Tongwen Li;Huanfeng Shen;Qiangqiang Yuan;Xuechen Zhang

  • Missing Information Reconstruction of Remote Sensing Data: A Technical Review

    Huanfeng Shen;Xinghua Li;Qing Cheng;Chao Zeng

  • Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network

    Yancong Wei;Qiangqiang Yuan;Huanfeng Shen;Liangpei Zhang

  • Long-term and fine-scale satellite monitoring of the urban heat island effect by the fusion of multi-temporal and multi-sensor remote sensed data: A 26-year case study of the city of Wuhan in China

    Huanfeng Shen;Liwen Huang;Liangpei Zhang;Penghai Wu

  • A super-resolution reconstruction algorithm for surveillance images

    Liangpei Zhang;Hongyan Zhang;Huanfeng Shen;Pingxiang Li

  • A MAP Approach for Joint Motion Estimation, Segmentation, and Super Resolution

    Huanfeng Shen;Liangpei Zhang;Bo Huang;Pingxiang Li

  • Recovering missing pixels for Landsat ETM + SLC-off imagery using multi-temporal regression analysis and a regularization method

    Chao Zeng;Huanfeng Shen;Liangpei Zhang

  • An Integrated Framework for the Spatio–Temporal–Spectral Fusion of Remote Sensing Images

    Huanfeng Shen;Xiangchao Meng;Liangpei Zhang

  • A MAP-Based Algorithm for Destriping and Inpainting of Remotely Sensed Images

    Huanfeng Shen;Liangpei Zhang

  • Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges

    Xiangchao Meng;Huanfeng Shen;Huifang Li;Liangpei Zhang

  • Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors

    Zhiwei Li;Huanfeng Shen;Qing Cheng;Yuhao Liu

  • Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning

    Xinghua Li;Huanfeng Shen;Liangpei Zhang;Hongyan Zhang

  • Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network.

    Qiangqiang Yuan;Qiang Zhang;Jie Li;Huanfeng Shen

  • Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery

    Zhiwei Li;Huanfeng Shen;Huifang Li;Guisong Xia

  • Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation

    Wei He;Hongyan Zhang;Liangpei Zhang;Huanfeng Shen

  • A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video

    Michael K. Ng;Huanfeng Shen;Huanfeng Shen;Edmund Y. Lam;Liangpei Zhang

  • Integrated fusion of multi-scale polar-orbiting and geostationary satellite observations for the mapping of high spatial and temporal resolution land surface temperature

    Penghai Wu;Huanfeng Shen;Liangpei Zhang;Frank-Michael Göttsche

Frequent Co-Authors

Liangpei Zhang
Liangpei Zhang Wuhan University
Qiangqiang Yuan
Qiangqiang Yuan Wuhan University
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Zhiwei Li
Zhiwei Li Central South University
Pingxiang Li
Pingxiang Li Wuhan University
Gui-Song Xia
Gui-Song Xia Wuhan University
Wei Gong
Wei Gong Wuhan University
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Paolo Gamba
Paolo Gamba University of Pavia
Lunche Wang
Lunche Wang China University of Geosciences

External Links

Google Scholar page

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