World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
61
Citations
16221
World Ranking
2732
National Ranking
275

Le Yu publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Le Yu sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 282 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 198 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Le Yu D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Le Yu sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 198 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 20 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125 D-Index: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 61 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

Le Yu is affiliated with Tsinghua University in China and specializes in Environmental Science, with a particular focus on global and planetary change. Their research spans several subfields, including ecology, environmental engineering, atmospheric science, and health, toxicology, and mutagenesis.

The scientist's work covers a variety of main topics, including:

  • Land Use and Ecosystem Services
  • Remote Sensing in Agriculture
  • Remote Sensing and Land Use
  • Conservation, Biodiversity, and Resource Management
  • Remote Sensing and LiDAR Applications
  • Oil Palm Production and Sustainability
  • Urban Heat Island Mitigation

Le Yu has contributed to several frequent publication venues. These include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing
  • Earth system science data
  • Scientific Data
  • The Lancet Public Health

Among notable recent papers are:

  • "Mapping global urban boundaries from the global artificial impervious area (GAIA) data," 2020, Environmental Research Letters
  • "Progress and Trends in the Application of Google Earth and Google Earth Engine," 2021, Remote Sensing
  • "Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data," 2021, Journal of Cleaner Production
  • "The 2020 China report of the Lancet Countdown on health and climate change," 2020, The Lancet Public Health
  • "Warming reduces global agricultural production by decreasing cropping frequency and yields," 2022, Nature Climate Change

Le Yu collaborates frequently with a number of co-authors, including:

  • Peng Gong
  • Dailiang Peng
  • Zhenrong Du
  • Yidi Xu
  • Wei Li

Best Publications

  • Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

    Peng Gong;Jie Wang;Le Yu;Yongchao Zhao

  • Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017

    Peng Gong;Han Liu;Meinan Zhang;Congcong Li

  • Managing nitrogen to restore water quality in China

    ChaoQing Yu;Xiao Huang;Han Chen;H. Charles J. Godfray

  • Mapping global urban boundaries from the global artificial impervious area (GAIA) data

    Xuecao Li;Peng Gong;Yuyu Zhou;Jie Wang;Jie Wang

  • Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images

    Weijia Li;Haohuan Fu;Le Yu;Arthur P. Cracknell

  • Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives

    Le Yu;Peng Gong

  • China’s urban expansion from 1990 to 2010 determined with satellite remote sensing

    Lei Wang;Lei Wang;CongCong Li;Qing Ying;Xiao Cheng;Xiao Cheng

  • Global urban expansion offsets climate-driven increases in terrestrial net primary productivity

    Xiaoping Liu;Fengsong Pei;Youyue Wen;Xia Li;Xia Li;Xia Li

  • Spatial multi-objective land use optimization: extensions to the non-dominated sorting genetic algorithm-II

    Kai Cao;Michael Batty;Bo Huang;Yan Liu

  • Progress and Trends in the Application of Google Earth and Google Earth Engine

    Qiang Zhao;Le Yu;Xuecao Li;Dailiang Peng

  • Detailed dynamic land cover mapping of Chile: Accuracy improvement by integrating multi-temporal data

    Yuanyuan Zhao;Duole Feng;Le Yu;Xiaoyi Wang;Xiaoyi Wang

  • Towards automatic lithological classification from remote sensing data using support vector machines

    Le Yu;Alok Porwal;Eun-Jung Holden;Michael C. Dentith

  • Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data

    Weijia Li;Conghui He;Jiarui Fang;Juepeng Zheng

  • Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data

    Dong Xu;Feng Yang;Le Yu;Yuyu Zhou

  • Automated mapping of soybean and corn using phenology

    Liheng Zhong;Lina Hu;Le Yu;Peng Gong;Peng Gong

  • Towards a common validation sample set for global land-cover mapping

    Yuanyuan Zhao;Peng Gong;Le Yu;Luanyun Hu

  • A fast and fully automatic registration approach based on point features for multi-source remote-sensing images

    Le Yu;Dengrong Zhang;Eun-Jung Holden

  • Improving 30 m global land-cover map FROM-GLC with time series MODIS and auxiliary data sets: a segmentation-based approach

    Le Yu;Jie Wang;Peng Gong

  • The 2020 China report of the Lancet Countdown on health and climate change.

    Wenjia Cai;Chi Zhang;Hoi Ping Suen;Siqi Ai

  • The first all-season sample set for mapping global land cover with Landsat-8 data

    Congcong Li;Congcong Li;Peng Gong;Jie Wang;Zhiliang Zhu

  • Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping

    Weijia Li;Haohuan Fu;Le Yu;Peng Gong

  • Meta-discoveries from a synthesis of satellite-based land-cover mapping research

    Le Yu;Lu Liang;Jie Wang;Yuanyuan Zhao

  • FROM-GC: 30 m global cropland extent derived through multisource data integration

    Le Yu;Jie Wang;Nicholas Clinton;Qinchuan Xin

Frequent Co-Authors

Peng Gong
Peng Gong University of Hong Kong
Xuecao Li
Xuecao Li China Agricultural University
Hui Lu
Hui Lu Tsinghua University
Nicholas Clinton
Nicholas Clinton Google (United States)
Bing Xu
Bing Xu Tsinghua University
Zhiliang Zhu
Zhiliang Zhu United States Geological Survey
Xiaoping Liu
Xiaoping Liu Sun Yat-sen University
Bin Chen
Bin Chen Beijing Normal University
Wei Li
Wei Li Tsinghua University
Arthur P. Cracknell
Arthur P. Cracknell University of Dundee

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Related Online Degrees & Career Pathways

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