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Liangpei Zhang

Liangpei Zhang

Wuhan University
China

Award Badge
Computer Science
China
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 143 55 52 8 7 856 80060

Liangpei Zhang publications per year

The chart shows the history of publications by Liangpei Zhang between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Liangpei Zhang published across 29 years, from 1997 to 2025, averaging 30.2 papers a year. Output peaked at 116 publications in 2016. 7 of the 875 publications appeared in the last two years.

No. of publications
25 50 75 100
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 116. Peak 116 publications in 2016. 1997: 1 publication 1998: 3 publications 1999: 2 publications 2000: 3 publications 2001: 5 publications 2002: 1 publication 2003: 2 publications 2004: 1 publication 2005: 9 publications 2006: 5 publications 2007: 19 publications 2008: 14 publications 2009: 20 publications 2010: 14 publications 2011: 25 publications 2012: 36 publications 2013: 44 publications 2014: 79 publications 2015: 76 publications 2016: 116 publications 2017: 86 publications 2018: 63 publications 2019: 67 publications 2020: 72 publications 2021: 104 publications 2022: 1 publication 2023: 0 publications 2024: 1 publication 2025: 6 publications
1997 2025

875 publications in total across all disciplines

View publications per year as a table
Liangpei Zhang: publications per year, 1997 to 2025
Year Publications
1997 1
1998 3
1999 2
2000 3
2001 5
2002 1
2003 2
2004 1
2005 9
2006 5
2007 19
2008 14
2009 20
2010 14
2011 25
2012 36
2013 44
2014 79
2015 76
2016 116
2017 86
2018 63
2019 67
2020 72
2021 104
2022 1
2023 0
2024 1
2025 6
Total 875
Download as CSV

Liangpei Zhang publications per year - data summary

  • Liangpei Zhang, a Computer Science scholar from Wuhan University, has 875 publications recorded across 29 years, from 1997 to 2025.
  • The oldest publication on record dates to 1997 and the most recent to 2025.
  • The most productive year is 2016, with 116 publications.
  • The least productive years with any output are 1997, 2002, 2004, 2022 and others, with 1 publication each.
  • 1 of the 29 years in the span carries no publications at all (2023).
  • The rate of publication averages 30.2 papers per year over the whole span, or 31.3 per year counting only the 28 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 112 publications, 13% of the career total.
  • Split into equal eras - 1997-2006: 32 publications (3.2 per year); 2007-2016: 443 publications (44.3 per year); 2017-2025: 400 publications (44.4 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Liangpei Zhang 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 Liangpei Zhang 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, 852–861 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: 856 publications — 99th percentile

99% 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
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 5 856
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

Liangpei Zhang publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Liangpei Zhang, a Computer Science scholar from Wuhan University, records 856 publications - the 99th percentile of the discipline.
  • 99% of ranked Computer Science scientists score the same or lower than Liangpei Zhang, and about 1% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Liangpei Zhang ranks above the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 991 publications or more, 100 scientists in all (<1% of the field).

Liangpei Zhang 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 Liangpei Zhang 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, 131+ 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: 143 D-Index — 100th percentile

100% 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
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+ 98 143
Download as CSV

Liangpei Zhang D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Liangpei Zhang, a Computer Science scholar from Wuhan University, records 143 D-Index - the 100th percentile of the discipline.
  • 100% of ranked Computer Science scientists score the same or lower than Liangpei Zhang, and about 0% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Liangpei Zhang ranks above the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 131 D-Index or more, 98 scientists in all (<1% of the field).

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2019 - IEEE Fellow For contributions to image processing of remote sensing data

Overview

Liangpei Zhang is affiliated with Wuhan University in China. Their research spans several key areas within engineering and environmental science, with primary focus on remote sensing technologies and atmospheric studies.

Their main fields of study include:

  • Engineering
  • Environmental Science

Subfields of study prominently featured in their work are:

  • Media Technology
  • Global and Planetary Change
  • Mechanical Engineering
  • Health, Toxicology and Mutagenesis
  • Atmospheric Science

The major topics explored by Liangpei Zhang cover:

  • Remote-Sensing Image Classification
  • Atmospheric and Environmental Gas Dynamics
  • Advanced Image Fusion Techniques
  • Remote Sensing and Land Use
  • Remote Sensing in Agriculture
  • Phase Change Materials Research
  • Solar Thermal and Photovoltaic Systems

Liangpei Zhang's recent papers include:

  • Polyethylene glycol/modified carbon foam composites for efficient light-thermal conversion and storage, 2021, Polymer
  • Substantially underestimated global health risks of current ozone pollution, 2025, Nature Communications
  • Dual selective fusion transformer network for hyperspectral image classification, 2025, Neural Networks
  • Research progress and challenges of data-driven quantitative remote sensing, 2022, National Remote Sensing Bulletin
  • Ada4DIR: An adaptive model-driven all-in-one image restoration network for remote sensing images, 2025, Information Fusion

Frequent co-authors collaborating with Liangpei Zhang are:

  • Tongwen Li
  • Qiangqiang Yuan
  • Yichu Xu
  • Di Wang
  • Lefei Zhang

The scholar has published multiple papers in venues such as:

  • arXiv (Cornell University)
  • Polymer
  • Nature Communications
  • Neural Networks
  • National Remote Sensing Bulletin

Award recognition includes being named an IEEE Fellow in 2019 for contributions to image processing of remote sensing data.

Best Publications

  • DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

    Gui-Song Xia;Xiang Bai;Jian Ding;Zhen Zhu

  • Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • Deep learning in remote sensing: a review

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

    Liangpei Zhang;Lefei Zhang;Bo Du

  • AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

    Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi

  • AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification

    Gui-Song Xia;Jingwen Hu;Fan Hu;Baoguang Shi

  • Deep learning in environmental remote sensing: Achievements and challenges

    Qiangqiang Yuan;Huanfeng Shen;Tongwen Li;Zhiwei Li

  • Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

    Fan Hu;Gui-Song Xia;Jingwen Hu;Liangpei Zhang

  • 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

  • Artificial Intelligence for Remote Sensing Data Analysis: A review of challenges and opportunities

    Unknown

  • Image super-resolution

    Linwei Yue;Huanfeng Shen;Jie Li;Qiangqiang Yuan

  • Saliency-Guided Unsupervised Feature Learning for Scene Classification

    Fan Zhang;Bo Du;Liangpei Zhang

  • A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection

    Qian Shi;Mengxi Liu;Shengchen Li;Xiaoping Liu

  • 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

  • An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery

    Xin Huang;Liangpei Zhang

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

    Yancong Wei;Qiangqiang Yuan;Huanfeng Shen;Liangpei Zhang

  • On Combining Multiple Features for Hyperspectral Remote Sensing Image Classification

    Lefei Zhang;Liangpei Zhang;Dacheng Tao;Xin Huang

  • Scene Classification via a Gradient Boosting Random Convolutional Network Framework

    Fan Zhang;Bo Du;Liangpei Zhang

  • Stacked Convolutional Denoising Auto-Encoders for Feature Representation

    Bo Du;Wei Xiong;Jia Wu;Lefei Zhang

Frequent Co-Authors

Huanfeng Shen
Huanfeng Shen Wuhan University
Bo Du
Bo Du Wuhan University
Yanfei Zhong
Yanfei Zhong Wuhan University
Qiangqiang Yuan
Qiangqiang Yuan Wuhan University
Pingxiang Li
Pingxiang Li Wuhan University
Gui-Song Xia
Gui-Song Xia Wuhan University
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Lefei Zhang
Lefei Zhang Wuhan University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Wei Gong
Wei Gong Wuhan University

External Links

Personal website of Liangpei Zhang Google Scholar page

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