World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
13242
World Ranking
6058
National Ranking
802

Guangjian Yan 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 Guangjian Yan 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: 212 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Guangjian Yan 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 Guangjian Yan 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Guangjian Yan is affiliated with Beijing Normal University in China and is active in the field of environmental science, with a particular focus on remote sensing and its applications. Their work spans multiple subfields including environmental engineering, ecology, global and planetary change, atmospheric science, and nature and landscape conservation.

The primary topics of Guangjian Yan's research highlight an emphasis on remote sensing technologies and their applications in various environmental contexts. These include:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Remote Sensing and Land Use
  • Forest Ecology and Management
  • Land Use and Ecosystem Services
  • Plant Water Relations and Carbon Dynamics
  • 3D Surveying and Cultural Heritage

Guangjian Yan has contributed significantly to several notable scientific venues. Frequent publication outlets include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing of Environment
  • National Remote Sensing Bulletin
  • Journal of Remote Sensing
  • Remote Sensing

Among their recent published papers are:

  • "Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications" (2022) in Reviews of Geophysics
  • "Soil moisture experiment in the Luan River supporting new satellite mission opportunities" (2020) in Remote Sensing of Environment
  • "Evaluation of the Vegetation-Index-Based Dimidiate Pixel Model for Fractional Vegetation Cover Estimation" (2021) in IEEE Transactions on Geoscience and Remote Sensing
  • "Design of supercontinuum laser hyperspectral light detection and ranging (LiDAR) (SCLaHS LiDAR)" (2021) in International Journal of Remote Sensing
  • "Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future perspectives" (2023) in ISPRS Journal of Photogrammetry and Remote Sensing

Frequent collaborators include:

  • Xihan Mu
  • Donghui Xie
  • Wuming Zhang
  • Jianbo Qi
  • Linyuan Li

Best Publications

  • Satellite-derived land surface temperature: Current status and perspectives

    Zhao-Liang Li;Bo-Hui Tang;Hua Wu;Huazhong Ren

  • An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation

    Wuming Zhang;Jianbo Qi;Peng Wan;Hongtao Wang

  • A Review of Current Methodologies for Regional Evapotranspiration Estimation from Remotely Sensed Data

    Zhao-Liang Li;Ronglin Tang;Zhengming Wan;Yuyun Bi

  • Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction

    Zhangyan Jiang;Alfredo R. Huete;Jin Chen;Yunhao Chen

  • Land surface emissivity retrieval from satellite data

    Zhao-Liang Li;Hua Wu;Ning Wang;Shi Qiu

  • Watershed Allied Telemetry Experimental Research

    Xin Li;Xiaowen Li;Xiaowen Li;Zengyuan Li;Mingguo Ma

  • Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives

    Guangjian Yan;Ronghai Hu;Ronghai Hu;Jinghui Luo;Marie Weiss

  • Evaluation of MODIS LAI/FPAR product Collection 6. Part 2: Validation and intercomparison

    Kai Yan;Taejin Park;Guangjian Yan;Zhao Liu

  • LESS: LargE-Scale remote sensing data and image simulation framework over heterogeneous 3D scenes

    Jianbo Qi;Donghui Xie;Tiangang Yin;Tiangang Yin;Guangjian Yan

  • Radiation Transfer Model Intercomparison (RAMI) exercise: Results from the second phase

    B. Pinty;J.-L. Widlowski;M. Taberner;N. Gobron

  • Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements

    Kai Yan;Taejin Park;Guangjian Yan;Chi Chen

  • Automatic Extraction of Power Lines From Aerial Images

    Guangjian Yan;Chaoyang Li;Guoqing Zhou;Wuming Zhang

  • Soil moisture experiment in the Luan River supporting new satellite mission opportunities

    Tianjie Zhao;Jiancheng Shi;Liqing Lv;Hongxin Xu

  • Estimating fractional vegetation cover and the vegetation index of bare soil and highly dense vegetation with a physically based method

    Wanjuan Song;Xihan Mu;Gaiyan Ruan;Zhan Gao

  • A novel method for extracting green fractional vegetation cover from digital images

    Yaokai Liu;Yaokai Liu;Xihan Mu;Haoxing Wang;Guangjian Yan

  • Generating Global Products of LAI and FPAR From SNPP-VIIRS Data: Theoretical Background and Implementation

    Kai Yan;Taejin Park;Chi Chen;Baodong Xu

  • Atmospheric water vapor retrieval from Landsat 8 thermal infrared images

    Huazhong Ren;Chen Du;Rongyuan Liu;Qiming Qin

  • The delineation of agricultural management zones with high resolution remotely sensed data

    Xiaoyu J. Song;Xiaoyu J. Song;Jihua Wang;Wenjiang Huang;Liangyun Liu

  • Evaluation of the Vegetation-Index-Based Dimidiate Pixel Model for Fractional Vegetation Cover Estimation

    Kai Yan;Si Gao;Haojing Chi;Jianbo Qi

  • A Novel Approach for the Detection of Standing Tree Stems from Plot-Level Terrestrial Laser Scanning Data

    Wuming Zhang;Peng Wan;Tiejun Wang;Shangshu Cai

  • Consistent retrieval methods to estimate land surface shortwave and longwave radiative flux components under clear-sky conditions

    Tianxing Wang;Guangjian Yan;Ling Chen

Frequent Co-Authors

Zhao-Liang Li
Zhao-Liang Li University of Strasbourg
Xiaowen Li
Xiaowen Li Tsinghua University
Ranga B. Myneni
Ranga B. Myneni Boston University
Jiancheng Shi
Jiancheng Shi Chinese Academy of Sciences
Yuri Knyazikhin
Yuri Knyazikhin Boston University
Shunlin Liang
Shunlin Liang University of Hong Kong
Qinhuo Liu
Qinhuo Liu Chinese Academy of Sciences
Tiejun Wang
Tiejun Wang University of Twente
José A. Sobrino
José A. Sobrino University of Valencia
Tim R. McVicar
Tim R. McVicar Commonwealth Scientific and Industrial Research Organisation

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