World's Best Scientists 2026 revealed!
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Environmental Sciences
USA
2023

D-Index & Metrics

Environmental Sciences

D-Index
110
Citations
49116
World Ranking
200
National Ranking
23

Shunlin Liang 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 Shunlin Liang 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: 637 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Shunlin Liang 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 Shunlin Liang 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: 110 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in United States Leader Award
  • 2013 - IEEE Fellow For contributions to remote sensing from satellite observations

Overview

Shunlin Liang is affiliated with the University of Hong Kong in China. Their research focuses primarily on environmental science and earth and planetary sciences, with particular attention to global and planetary change, atmospheric science, environmental engineering, ecology, and nature and landscape conservation.

Their work covers key topics including remote sensing in agriculture, urban heat island mitigation, climate variability and models, atmospheric aerosols and clouds, cryospheric studies and observations, remote sensing and LiDAR applications, and meteorological phenomena and simulations.

Frequently, Shunlin Liang collaborates with several researchers, notably Tao He, Dongdong Wang, Han Ma, Aolin Jia, and Jianglei Xu. Their frequent publication venues reflect a strong emphasis on remote sensing and geoscience, including:

  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing of Environment
  • Remote Sensing
  • SSRN Electronic Journal

Their recent published papers include:

  • The Global Land Surface Satellite (GLASS) Product Suite, 2020, Bulletin of the American Meteorological Society
  • Annual dynamics of global land cover and its long-term changes from 1982 to 2015, 2020, Earth System Science Data
  • Improved estimate of global gross primary production for reproducing its long-term variation, 1982-2017, 2020, Earth System Science Data
  • A practical reanalysis data and thermal infrared remote sensing data merging (RTM) method for reconstruction of a 1-km all-weather land surface temperature, 2021, Remote Sensing of Environment
  • Development of the GLASS 250-m leaf area index product (version 6) from MODIS data using the bidirectional LSTM deep learning model, 2022, Remote Sensing of Environment

Shunlin Liang was recognized as an IEEE Fellow in 2013 for contributions to remote sensing from satellite observations.

Best Publications

  • First operational BRDF, albedo nadir reflectance products from MODIS

    Crystal B Schaaf;Feng Gao;Alan H Strahler;Wolfgang Lucht

  • Narrowband to broadband conversions of land surface albedo I Algorithms

    Shunlin Liang

  • Quantitative Remote Sensing of Land Surfaces

    Shunlin Liang

  • Recent Third Pole’s Rapid Warming Accompanies Cryospheric Melt and Water Cycle Intensification and Interactions between Monsoon and Environment: Multidisciplinary Approach with Observations, Modeling, and Analysis

    Tandong Yao;Yongkang Xue;Deliang Chen;Fahu Chen

  • Time‐lag effects of global vegetation responses to climate change

    Donghai Wu;Xiang Zhao;Shunlin Liang;Shunlin Liang;Tao Zhou;Tao Zhou

  • Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance

    Zhiqiang Xiao;Shunlin Liang;Jindi Wang;Ping Chen

  • The role of satellite remote sensing in climate change studies

    Jun Yang;Peng Gong;Peng Gong;Peng Gong;Rong Fu;Minghua Zhang

  • A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies

    Shunlin Liang;Xiang Zhao;Suhong Liu;Wenping Yuan

  • Atmospheric correction of Landsat ETM+ land surface imagery. I. Methods

    S. Liang;H. Fang;M. Chen

  • The Global Land Surface Satellite (GLASS) Product Suite

    Shunlin Liang;Jie Cheng;Kun Jia;Bo Jiang

  • Assimilation of remote sensing into crop growth models: Current status and perspectives

    Jianxi Huang;Jose L. Gómez-Dans;Hai Huang;Hongyuan Ma

  • Validating MODIS land surface reflectance and albedo products: methods and preliminary results

    Shunlin Liang;Hongliang Fang;Mingzhen Chen;Chad J Shuey

  • The altitudinal dependence of recent rapid warming over the Tibetan Plateau

    Jun Qin;Kun Yang;Shunlin Liang;Xiaofeng Guo

  • Long-Time-Series Global Land Surface Satellite Leaf Area Index Product Derived From MODIS and AVHRR Surface Reflectance

    Zhiqiang Xiao;Shunlin Liang;Jindi Wang;Yang Xiang

  • Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model

    Jianxi Huang;Liyan Tian;Shunlin Liang;Shunlin Liang;Hongyuan Ma

  • Clear sky visibility has decreased over land globally from 1973 to 2007.

    Kaicun Wang;Robert E. Dickinson;Shunlin Liang

  • Earth system science related imaging spectroscopy — an assessment

    Michael E. Schaepman;Michael E. Schaepman;Susan L. Ustin;Antonio J. Plaza;Thomas H. Painter

  • Advanced remote sensing : terrestrial information extraction and applications

    Shunlin Liang;Xiaowen Li;Jindi Wang

  • Review on Estimation of Land Surface Radiation and Energy Budgets From Ground Measurement, Remote Sensing and Model Simulations

    Shunlin Liang;Kaicun Wang;Xiaotong Zhang;M Wild

  • Narrowband to broadband conversions of land surface albedo: II. Validation

    Shunlin Liang;Chad J Shuey;Andrew L Russ;Hongliang Fang

  • Annual dynamics of global land cover and its long-term changes from 1982 to 2015

    Han Liu;Peng Gong;Jie Wang;Jie Wang;Nicholas Clinton

Frequent Co-Authors

Kaicun Wang
Kaicun Wang Beijing Normal University
Hongliang Fang
Hongliang Fang Chinese Academy of Sciences
Alan H. Strahler
Alan H. Strahler Boston University
Wenping Yuan
Wenping Yuan Sun Yat-sen University
Yunyue Yu
Yunyue Yu National Oceanic and Atmospheric Administration
Xiaowen Li
Xiaowen Li Tsinghua University
Shaomin Liu
Shaomin Liu Beijing Normal University
John R. Townshend
John R. Townshend University of Maryland, College Park
Jun Qin
Jun Qin Baylor College of Medicine
Jiquan Chen
Jiquan Chen Michigan State University

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