World's Best Scientists 2026 revealed!
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Qiangqiang Yuan

Qiangqiang Yuan

Wuhan University
China

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 59 3431 3335 461 458 235 13690

Qiangqiang Yuan publications per year

The chart shows the history of publications by Qiangqiang Yuan between 2010 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Qiangqiang Yuan published across 17 years, from 2010 to 2026, averaging 20.6 papers a year. Output peaked at 66 publications in 2022. 47 of the 350 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 2010 to 2026. Vertical axis: number of publications, 0 to 66. Peak 66 publications in 2022. 2010: 1 publication 2011: 3 publications 2012: 3 publications 2013: 3 publications 2014: 9 publications 2015: 5 publications 2016: 11 publications 2017: 15 publications 2018: 16 publications 2019: 20 publications 2020: 31 publications 2021: 41 publications 2022: 66 publications 2023: 34 publications 2024: 45 publications 2025: 45 publications 2026: 2 publications
2010 2026

350 publications in total across all disciplines

View publications per year as a table
Qiangqiang Yuan: publications per year, 2010 to 2026
Year Publications
2010 1
2011 3
2012 3
2013 3
2014 9
2015 5
2016 11
2017 15
2018 16
2019 20
2020 31
2021 41
2022 66
2023 34
2024 45
2025 45
2026 2
Total 350
Download as CSV

Qiangqiang Yuan publications per year - data summary

  • Qiangqiang Yuan, a Computer Science scholar from Wuhan University, has 350 publications recorded across 17 years, from 2010 to 2026.
  • The oldest publication on record dates to 2010 and the most recent to 2026.
  • The most productive year is 2022, with 66 publications.
  • The least productive year with any output is 2010, with 1 publication.
  • The rate of publication averages 20.6 papers per year over the whole span, or 20.6 per year counting only the 17 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 192 publications, 55% of the career total.
  • Split into equal eras - 2010-2015: 24 publications (4.0 per year); 2016-2021: 134 publications (22.3 per year); 2022-2026: 192 publications (38.4 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Qiangqiang Yuan 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 Qiangqiang Yuan 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, 232–241 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: 235 publications — 58th percentile

58% 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
232–241 423 235
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
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

Qiangqiang Yuan 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.
  • Qiangqiang Yuan, a Computer Science scholar from Wuhan University, records 235 publications - the 58th percentile of the discipline.
  • 58% of ranked Computer Science scientists score the same or lower than Qiangqiang Yuan, and about 42% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Qiangqiang Yuan 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).

Qiangqiang Yuan 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 Qiangqiang Yuan 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, 58–59 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: 59 D-Index — 77th percentile

77% 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 59
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
Download as CSV

Qiangqiang Yuan 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.
  • Qiangqiang Yuan, a Computer Science scholar from Wuhan University, records 59 D-Index - the 77th percentile of the discipline.
  • 77% of ranked Computer Science scientists score the same or lower than Qiangqiang Yuan, and about 23% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Qiangqiang Yuan 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).

Overview

Qiangqiang Yuan is affiliated with Wuhan University in China. Their research primarily focuses on environmental science, engineering, and computer science, with significant contributions in subfields including computer vision and pattern recognition, media technology, atmospheric science, environmental engineering, and global and planetary change.

The main topics covered in Yuan's work involve advanced image fusion techniques, image and signal denoising methods, advanced image processing techniques, remote-sensing image classification, air quality monitoring and forecasting, atmospheric and environmental gas dynamics, and atmospheric chemistry and aerosols.

Yuan has authored several recent notable papers, such as:

  • Deep learning in environmental remote sensing: Achievements and challenges (2020), published in Remote Sensing of Environment
  • TTST: A Top-k Token Selective Transformer for Remote Sensing Image Super-Resolution (2024), published in IEEE Transactions on Image Processing
  • EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution (2023), published in IEEE Transactions on Geoscience and Remote Sensing
  • From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution (2023), published in Information Fusion
  • Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning (2020), published in ISPRS Journal of Photogrammetry and Remote Sensing

Throughout their career, Yuan has collaborated frequently with:

  • Liangpei Zhang
  • Huanfeng Shen
  • Jie Li
  • Jiang He
  • Yuan Wang

Yuan's work has been published extensively in venues such as:

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

The research output reflects a continuous focus on remote sensing and advanced computational methods applied to environmental and atmospheric data. Yuan's work demonstrates engagement with image super-resolution, deep learning approaches, and spatio-temporal analysis techniques aimed at addressing challenges in environmental monitoring and data processing.

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

  • 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

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

    Yancong Wei;Qiangqiang Yuan;Huanfeng Shen;Liangpei Zhang

  • Missing Data Reconstruction in Remote Sensing Image With a Unified Spatial–Temporal–Spectral Deep Convolutional Neural Network

    Qiang Zhang;Qiangqiang Yuan;Chao Zeng;Xinghua Li

  • TTST: A Top-k Token Selective Transformer for Remote Sensing Image Super-Resolution

    Unknown

  • 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

  • From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution

    Unknown

  • Learning a Dilated Residual Network for SAR Image Despeckling

    Qiang Zhang;Qiangqiang Yuan;Jie Li;Zhen Yang

  • An effective thin cloud removal procedure for visible remote sensing images

    Huanfeng Shen;Huifang Li;Yan Qian;Liangpei Zhang

  • Point-surface fusion of station measurements and satellite observations for mapping PM2.5 distribution in China: Methods and assessment

    Tongwen Li;Huanfeng Shen;Chao Zeng;Qiangqiang Yuan

  • EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution

    Unknown

  • Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model

    Qing Cheng;Huanfeng Shen;Liangpei Zhang;Qiangqiang Yuan

  • Multiframe Super-Resolution Employing a Spatially Weighted Total Variation Model

    Qiangqiang Yuan;Liangpei Zhang;Huanfeng Shen

  • Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten $p$ -Norm Minimization

    Yuan Xie;Yanyun Qu;Dacheng Tao;Weiwei Wu

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

    Qiangqiang Yuan;Qiang Zhang;Jie Li;Huanfeng Shen

  • Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning

    Qiang Zhang;Qiangqiang Yuan;Jie Li;Zhiwei Li

  • Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks

    Jianhao Gao;Qiangqiang Yuan;Jie Li;Hai Zhang

  • Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer

    Unknown

  • NTIRE 2022 Spectral Recovery Challenge and Data Set

    Unknown

  • A Large-Scale Benchmark Data Set for Evaluating Pansharpening Performance: Overview and Implementation

    Xiangchao Meng;Yiming Xiong;Feng Shao;Huanfeng Shen

  • Hybrid Noise Removal in Hyperspectral Imagery With a Spatial–Spectral Gradient Network

    Qiang Zhang;Qiangqiang Yuan;Jie Li;Xinxin Liu

  • High-quality seamless DEM generation blending SRTM-1, ASTER GDEM v2 and ICESat/GLAS observations

    Linwei Yue;Huanfeng Shen;Liangpei Zhang;Xianwei Zheng

  • Satellite Video Super-Resolution via Multiscale Deformable Convolution Alignment and Temporal Grouping Projection

    Yi Xiao;Xin Su;Qiangqiang Yuan;Denghong Liu

Frequent Co-Authors

Huanfeng Shen
Huanfeng Shen Wuhan University
Liangpei Zhang
Liangpei Zhang Wuhan University
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Michael K. Ng
Michael K. Ng Hong Kong Baptist University
Zhiwei Li
Zhiwei Li Central South University
Pingxiang Li
Pingxiang Li Wuhan University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Zhanqing Li
Zhanqing Li University of Maryland, College Park
Maureen Cribb
Maureen Cribb University of Maryland, College Park
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology

External Links

Personal website of Qiangqiang Yuan Google Scholar page

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2027 Career Paths with a Theology Master's Degree Explained

2027 Career Paths with a Theology Master's Degree Explained
2027 Fastest Accredited Online School Counseling Programs: Accelerated Degrees and Completion Times

2027 Fastest Accredited Online School Counseling Programs: Accelerated Degrees and Completion Times
2027 Animal Science Degree Programs With Rolling Admissions

2027 Animal Science Degree Programs With Rolling Admissions
2027 Best Accredited Online Interior Design Master's Programs With Asynchronous Classes: No Set Class Times

2027 Best Accredited Online Interior Design Master's Programs With Asynchronous Classes: No Set Class Times