World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 67 2197 2130 298 295 314 17685

Wei Li publications per year

The chart shows the history of publications by Wei Li between 2008 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Wei Li published across 19 years, from 2008 to 2026, averaging 44.2 papers a year. Output peaked at 131 publications in 2024. 152 of the 840 publications appeared in the last two years.

No. of publications
25 50 75 100 125
Bar chart. Horizontal axis: year, 2008 to 2026. Vertical axis: number of publications, 0 to 131. Peak 131 publications in 2024. 2008: 1 publication 2009: 1 publication 2010: 0 publications 2011: 6 publications 2012: 8 publications 2013: 6 publications 2014: 27 publications 2015: 30 publications 2016: 33 publications 2017: 36 publications 2018: 45 publications 2019: 36 publications 2020: 37 publications 2021: 53 publications 2022: 120 publications 2023: 118 publications 2024: 131 publications 2025: 129 publications 2026: 23 publications
2008 2026

840 publications in total across all disciplines

View publications per year as a table
Wei Li: publications per year, 2008 to 2026
Year Publications
2008 1
2009 1
2010 0
2011 6
2012 8
2013 6
2014 27
2015 30
2016 33
2017 36
2018 45
2019 36
2020 37
2021 53
2022 120
2023 118
2024 131
2025 129
2026 23
Total 840
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Wei Li 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 Wei Li 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, 312–321 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: 314 publications — 76th percentile

76% 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
312–321 238 314
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
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Wei Li 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 Wei Li 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, 66–67 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: 67 D-Index — 85th percentile

85% 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 67
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
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Overview

Wei Li is affiliated with the Beijing Institute of Technology in China. Their research spans multiple fields, primarily within engineering and computer science, with a strong focus on subfields such as computer vision and pattern recognition, media technology, artificial intelligence, aerospace engineering, and atmospheric science.

Wei Li's work extensively covers topics including remote-sensing image classification, advanced image fusion techniques, remote sensing and land use, advanced neural network applications, domain adaptation and few-shot learning, infrared target detection methodologies, and image and signal denoising methods.

The scientist has contributed to a significant number of publications in prominent venues, including:

  • IEEE Transactions on Geoscience and Remote Sensing
  • arXiv (Cornell University)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Transactions on Neural Networks and Learning Systems
  • Remote Sensing

Wei Li's recent papers demonstrate contributions to advanced remote sensing and hyperspectral image classification research. Selected works include:

  • Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey, 2021, IEEE Geoscience and Remote Sensing Magazine
  • Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification, 2022, IEEE Transactions on Neural Networks and Learning Systems
  • Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Single-Source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification, 2023, IEEE Transactions on Image Processing

Wei Li frequently collaborates with other researchers whose names appear in multiple co-authored works. Frequent co-authors include Ran Tao, Mengmeng Zhang, Qian Du, Xiang-Gen Xia, and Shou Feng.

Best Publications

  • Hyperspectral Image Classification Using Deep Pixel-Pair Features

    Wei Li;Guodong Wu;Fan Zhang;Qian Du

  • Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification

    Wei Li;Chen Chen;Hongjun Su;Qian Du

  • Collaborative Representation for Hyperspectral Anomaly Detection

    Wei Li;Qian Du

  • Multisource Remote Sensing Data Classification Based on Convolutional Neural Network

    Xiaodong Xu;Wei Li;Qiong Ran;Qian Du

  • Diverse Region-Based CNN for Hyperspectral Image Classification

    Mengmeng Zhang;Wei Li;Qian Du

  • Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis

    Wei Li;S. Prasad;J. E. Fowler;L. M. Bruce

  • DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation

    Ruirui Li;Wenjie Liu;Lei Yang;Shihao Sun

  • Graph Information Aggregation Cross-Domain Few-Shot Learning for Hyperspectral Image Classification.

    Unknown

  • ORSIm Detector: A Novel Object Detection Framework in Optical Remote Sensing Imagery Using Spatial-Frequency Channel Features

    Xin Wu;Danfeng Hong;Jiaojiao Tian;Jocelyn Chanussot

  • HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers

    Ji He;Lina Zhao;Hongwei Yang;Mengmeng Zhang

  • Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery

    Wei Li;Guodong Wu;Qian Du

  • Combined sparse and collaborative representation for hyperspectral target detection

    Wei Li;Qian Du;Bing Zhang

  • Deep Cross-Domain Few-Shot Learning for Hyperspectral Image Classification

    Zhaokui Li;Ming Liu;Yushi Chen;Yimin Xu

  • Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification.

    Yuxiang Zhang;Wei Li;Mengmeng Zhang;Ying Qu

  • Feature Extraction for Classification of Hyperspectral and LiDAR Data Using Patch-to-Patch CNN

    Mengmeng Zhang;Wei Li;Qian Du;Lianru Gao

  • Spectral-Spatial Classification of Hyperspectral Image Based on Kernel Extreme Learning Machine

    Chen Chen;Wei Li;Hongjun Su;Kui Liu

  • Nearest Regularized Subspace for Hyperspectral Classification

    Wei Li;Eric W. Tramel;Saurabh Prasad;James E. Fowler

  • Hyperspectral Anomaly Detection by Fractional Fourier Entropy

    Ran Tao;Xudong Zhao;Wei Li;Heng-Chao Li

  • Low-Rank and Sparse Representation for Hyperspectral Image Processing: A Review

    Jiangtao Peng;Weiwei Sun;Heng-Chao Li;Wei Li

  • Gabor-Filtering-Based Nearest Regularized Subspace for Hyperspectral Image Classification

    Wei Li;Qian Du

  • Land-use scene classification using multi-scale completed local binary patterns

    Chen Chen;Baochang Zhang;Hongjun Su;Wei Li

  • Joint Within-Class Collaborative Representation for Hyperspectral Image Classification

    Wei Li;Qian Du

  • Scene classification using local and global features with collaborative representation fusion

    Jinyi Zou;Wei Li;Chen Chen;Qian Du

Frequent Co-Authors

Qian Du
Qian Du Mississippi State University
Ran Tao
Ran Tao Beijing Institute of Technology
James E. Fowler
James E. Fowler Mississippi State University
Saurabh Prasad
Saurabh Prasad University of Houston
Heng-Chao Li
Heng-Chao Li Southwest Jiaotong University
Lianru Gao
Lianru Gao Aerospace Information Research Institute
Danfeng Hong
Danfeng Hong Chinese Academy of Sciences
Hongjun Su
Hongjun Su Hohai University
Gottfried Kirchengast
Gottfried Kirchengast University of Graz
Juha Hyyppä
Juha Hyyppä Finnish Geospatial Research Institute

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