World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
60
Citations
11439
World Ranking
3296
National Ranking
1596

Guijun Yang 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 Guijun Yang 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: 232 publications — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Guijun Yang 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 Guijun Yang 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: 60 D-Index — 78th percentile

78% of scientists in this discipline score the same or lower.

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

Overview

Guijun Yang is affiliated with the Center for Information Technology in the United States and has contributed extensively to research in environmental science and agricultural and biological sciences. Their work frequently addresses topics intersecting remote sensing technologies with agriculture and environmental monitoring.

The main fields of study for Yang include:

  • Environmental Science
  • Agricultural and Biological Sciences

Their research spans several subfields, notably:

  • Ecology
  • Plant Science
  • Environmental Engineering
  • Global and Planetary Change
  • Analytical Chemistry

The primary topics of Yang's research focus on:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Spectroscopy and Chemometric Analyses
  • Smart Agriculture and AI
  • Leaf Properties and Growth Measurement
  • Remote Sensing and Land Use
  • Land Use and Ecosystem Services

Yang has published prolifically in venues that are prominent in the fields of remote sensing and agricultural technology. Frequent publication venues include:

  • Computers and Electronics in Agriculture
  • Remote Sensing
  • SSRN Electronic Journal
  • European Journal of Agronomy
  • Frontiers in Plant Science

Recent notable papers authored by Guijun Yang include:

  • A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades (2020, Remote Sensing)
  • An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives (2021, European Journal of Agronomy)
  • Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data (2020, Sensors)
  • Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images (2020, Sensors)
  • Remote-sensing estimation of potato above-ground biomass based on spectral and spatial features extracted from high-definition digital camera images (2022, Computers and Electronics in Agriculture)

Yang often collaborates with a consistent group of co-authors, including:

  • Haikuan Feng
  • Hao Yang
  • Chunjiang Zhao
  • Riqiang Chen
  • Zhenhai Li

Best Publications

  • Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives

    Guijun Yang;Jiangang Liu;Chunjiang Zhao;Zhenhong Li

  • A review of data assimilation of remote sensing and crop models

    Xiuliang Jin;Lalit Kumar;Zhenhai Li;Haikuan Feng

  • Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data

    Liang Han;Liang Han;Liang Han;Guijun Yang;Huayang Dai;Bo Xu

  • Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices

    Jibo Yue;Jibo Yue;Jibo Yue;Guijun Yang;Qingjiu Tian;Qingjiu Tian;Haikuan Feng

  • Estimation of Winter Wheat Above-Ground Biomass Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models

    Jibo Yue;Guijun Yang;Changchun Li;Zhenhai Li

  • Retrieving Soybean Leaf Area Index from Unmanned Aerial Vehicle Hyperspectral Remote Sensing: Analysis of RF, ANN, and SVM Regression Models

    Huanhuan Yuan;Guijun Yang;Changchun Li;Yanjie Wang

  • Winter wheat biomass estimation based on spectral indices, band depth analysis and partial least squares regression using hyperspectral measurements

    Yuanyuan Fu;Guijun Yang;Jihua Wang;Xiaoyu Song

  • A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades

    Ning Zhang;Guijun Yang;Yuchun Pan;Xiaodong Yang

  • A comparison of regression techniques for estimation of above-ground winter wheat biomass using near-surface spectroscopy

    Jibo Yue;Haikuan Feng;Guijun Yang;Zhenhai Li

  • A Comparison of Crop Parameters Estimation Using Images from UAV-Mounted Snapshot Hyperspectral Sensor and High-Definition Digital Camera

    Jibo Yue;Haikuan Feng;Xiuliang Jin;Huanhuan Yuan

  • Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression

    Xinchuan Li;Youjing Zhang;Yansong Bao;Juhua Luo

  • An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives

    Yuanyuan Fu;Guijun Yang;Ruiliang Pu;Zhenhai Li

  • Combined Multi-Temporal Optical and Radar Parameters for Estimating LAI and Biomass in Winter Wheat Using HJ and RADARSAR-2 Data

    Xiuliang Jin;Guijun Yang;Xingang Xu;Hao Yang

  • Winter wheat yield estimation based on multi-source medium resolution optical and radar imaging data and the AquaCrop model using the particle swarm optimization algorithm

    Xiuliang Jin;Xiuliang Jin;Zhenhai Li;Guijun Yang;Hao Yang

  • Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data.

    Huilin Tao;Haikuan Feng;Liangji Xu;Mengke Miao

  • Multi-GNSS precise point positioning for precision agriculture

    Jing Guo;Jing Guo;Xingxing Li;Zhenhong Li;Leyin Hu

  • Assessment of defoliation during the Dendrolimus tabulaeformis Tsai et Liu disaster outbreak using UAV-based hyperspectral images

    Ning Zhang;Xiaoli Zhang;Guijun Yang;Chenghao Zhu

  • Comparison between wavelet spectral features and conventional spectral features in detecting yellow rust for winter wheat

    Jingcheng Zhang;Lin yuan;Ruiliang Pu;Rebecca W. Loraamm

  • Estimation of the Yield and Plant Height of Winter Wheat Using UAV-Based Hyperspectral Images.

    Huilin Tao;Haikuan Feng;Liangji Xu;Mengke Miao

  • A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems

    Wenjing Li;Beth Clark;James A. Taylor;James A. Taylor;Helen Kendall

  • Estimation of Winter Wheat Biomass and Yield by Combining the AquaCrop Model and Field Hyperspectral Data

    Xiuliang Jin;Lalit Kumar;Zhenhai Li;Xingang Xu

  • Wheat lodging monitoring using polarimetric index from RADARSAT-2 data

    Hao Yang;Hao Yang;Erxue Chen;Zengyuan Li;Chunjiang Zhao

Frequent Co-Authors

Wenjiang Huang
Wenjiang Huang Chinese Academy of Sciences
Zhenhong Li
Zhenhong Li Chang'an University
Ruiliang Pu
Ruiliang Pu University of South Florida
Lynn J. Frewer
Lynn J. Frewer Newcastle University
Qinhuo Liu
Qinhuo Liu Chinese Academy of Sciences
Xiaowen Li
Xiaowen Li Tsinghua University
Lalit Kumar
Lalit Kumar University of New England
Liangyun Liu
Liangyun Liu Chinese Academy of Sciences
Zhonghu He
Zhonghu He Chinese Academy of Agricultural Sciences
Dewei Zhao
Dewei Zhao Sichuan University

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