World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
55
Citations
12613
World Ranking
3814
National Ranking
411

Shaomin Liu 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 Shaomin Liu 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: 283 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: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 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 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 195 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Shaomin Liu 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 Shaomin Liu 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: 199 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: 19 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: 99 scientists
30 D-Index 125+

This scientist: 55 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Shaomin Liu is affiliated with Beijing Normal University in China and focuses research primarily in the field of Environmental Science. Their work spans several subfields, including Global and Planetary Change, Atmospheric Science, Environmental Engineering, Water Science and Technology, and Ecology.

The research topics that dominate Shaomin Liu's publications include:

  • Plant Water Relations and Carbon Dynamics
  • Climate variability and models
  • Hydrology and Watershed Management Studies
  • Urban Heat Island Mitigation
  • Soil Moisture and Remote Sensing
  • Climate change and permafrost
  • Remote Sensing in Agriculture

Frequent co-authors collaborating with Shaomin Liu include:

  • Tongren Xu
  • Lisheng Song
  • Ziwei Xu
  • Xinlei He
  • Xiaofan Yang

Preferred publication venues for Shaomin Liu's work are:

  • Agricultural and Forest Meteorology
  • Remote Sensing
  • Remote Sensing of Environment
  • SSRN Electronic Journal
  • Journal of Hydrology

Recent papers authored or co-authored by Shaomin Liu include:

  • "Physiological and environmental control on ecosystem water use efficiency in response to drought across the northern hemisphere," 2020, The Science of The Total Environment
  • "Responses of Water Use Efficiency to Drought in Southwest China," 2020, Remote Sensing
  • "Improve the Performance of the Noah-MP-Crop Model by Jointly Assimilating Soil Moisture and Vegetation Phenology Data," 2021, Journal of Advances in Modeling Earth Systems
  • "Exploring evapotranspiration changes in a typical endorheic basin through the integrated observatory network," 2020, Agricultural and Forest Meteorology
  • "A dataset of energy, water vapor, and carbon exchange observations in oasis-desert areas from 2012 to 2021 in a typical endorheic basin," 2023, Earth system science data

Best Publications

  • Heihe Watershed Allied Telemetry Experimental Research (HiWATER): Scientific Objectives and Experimental Design

    Xin Li;Guodong Cheng;Shaomin Liu;Qing Xiao

  • A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem

    S. M. Liu;Z. W. Xu;W. Z. Wang;Z. Z. Jia

  • Watershed Allied Telemetry Experimental Research

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

  • Measurements of evapotranspiration from eddy-covariance systems and large aperture scintillometers in the Hai River Basin, China

    S.M. Liu;Z.W. Xu;Z.L. Zhu;Z.Z. Jia

  • The Heihe Integrated Observatory Network: A Basin-Scale Land Surface Processes Observatory in China

    Shaomin Liu;Xin Li;Ziwei Xu;Tao Che

  • Differentiating drought legacy effects on vegetation growth over the temperate Northern Hemisphere

    Xiuchen Wu;Hongyan Liu;Xiaoyan Li;Philippe Ciais

  • Intercomparison of surface energy flux measurement systems used during the HiWATER-MUSOEXE

    Ziwei Xu;Shaomin Liu;Xin Li;Shengjin Shi

  • MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley-Taylor algorithm

    Yunjun Yao;Shunlin Liang;Shunlin Liang;Jie Cheng;Shaomin Liu

  • Hydrological Cycle in the Heihe River Basin and Its Implication for Water Resource Management in Endorheic Basins

    Xin Li;Guodong Cheng;Guodong Cheng;Yingchun Ge;Hongyi Li

  • Validation of remotely sensed evapotranspiration over the Hai River Basin, China

    Zhenzhen Jia;Shaomin Liu;Ziwei Xu;Yujie Chen

  • Upscaling evapotranspiration measurements from multi-site to the satellite pixel scale over heterogeneous land surfaces

    Shaomin Liu;Ziwei Xu;Lisheng Song;Qianyi Zhao

  • Turbulent flux transfer over bare-soil surfaces: Characteristics and parameterization

    Kun Yang;Kun Yang;Toshio Koike;Hirohiko Ishikawa;Joon Kim

  • Severe summer heatwave and drought strongly reduced carbon uptake in Southern China.

    Wenping Yuan;Wenping Yuan;Wenwen Cai;Yang Chen;Shuguang Liu

  • Evaluating Different Machine Learning Methods for Upscaling Evapotranspiration from Flux Towers to the Regional Scale

    Tongren Xu;Zhixia Guo;Shaomin Liu;Xinlei He

  • Evaluating parameterizations of aerodynamic resistance to heat transfer using field measurements

    Shaomin Liu;L. Lu;D. Mao;L. Jia

  • Evaluation of twelve evapotranspiration products from machine learning, remote sensing and land surface models over conterminous United States

    Tongren Xu;Zhixia Guo;Youlong Xia;Vagner G. Ferreira

  • Sediment loads response to climate change: A preliminary study of eight large Chinese rivers

    X.X. Lu;X.X. Lu;L.S. Ran;S. Liu;T. Jiang

  • Estimation of daily evapotranspiration and irrigation water efficiency at a Landsat-like scale for an arid irrigation area using multi-source remote sensing data

    Yanfei Ma;Yanfei Ma;Shaomin Liu;Lisheng Song;Ziwei Xu

  • Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China

    Tao Che;Xin Li;Shaomin Liu;Hongyi Li

  • A Method Based on Temporal Component Decomposition for Estimating 1-km All-Weather Land Surface Temperature by Merging Satellite Thermal Infrared and Passive Microwave Observations

    Xiaodong Zhang;Ji Zhou;Frank-Michael Gottsche;Wenfeng Zhan

  • A multiscale dataset for understanding complex eco-hydrological processes in a heterogeneous oasis system

    Xin Li;Shaomin Liu;Qin Xiao;Mingguo Ma

Frequent Co-Authors

Shunlin Liang
Shunlin Liang University of Hong Kong
Mingguo Ma
Mingguo Ma Southwest University
Jiquan Chen
Jiquan Chen Michigan State University
Xiuchen Wu
Xiuchen Wu Beijing Normal University
Joshua B. Fisher
Joshua B. Fisher Chapman University
Jinming Feng
Jinming Feng Chinese Academy of Sciences
Kun Yang
Kun Yang Tsinghua University
Xiaowen Li
Xiaowen Li Tsinghua University
Qinhuo Liu
Qinhuo Liu Chinese Academy of Sciences
William P. Kustas
William P. Kustas Agricultural Research Service

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