World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
63
Citations
17877
World Ranking
2432
National Ranking
245

Yongjiu Dai 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 Yongjiu Dai 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: 157 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Yongjiu Dai 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 Yongjiu Dai 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: 63 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Yongjiu Dai is affiliated with Sun Yat-sen University in China and has contributed extensively to environmental science and earth and planetary sciences. The research primarily focuses on environmental science, with significant work in earth and planetary sciences.

The scientist's research spans several subfields, including:

  • Global and Planetary Change
  • Atmospheric Science
  • Environmental Engineering
  • Water Science and Technology
  • Ecology

Yongjiu Dai's main topics of work cover a range of environmental and hydrological subjects:

  • Climate variability and models
  • Hydrology and Watershed Management Studies
  • Plant Water Relations and Carbon Dynamics
  • Soil Moisture and Remote Sensing
  • Meteorological Phenomena and Simulations
  • Soil and Unsaturated Flow
  • Urban Heat Island Mitigation

Among the publications associated with Yongjiu Dai, some notable recent papers include:

  • A 1 km daily soil moisture dataset over China using in situ measurement and machine learning (2022) published in Earth system science data
  • Scientific and Human Errors in a Snow Model Intercomparison (2020) published in Bulletin of the American Meteorological Society
  • Urban warming advances spring phenology but reduces the response of phenology to temperature in the conterminous United States (2020) published in Proceedings of the National Academy of Sciences
  • Reconciling disagreement on global river flood changes in a warming climate (2022) published in Nature Climate Change
  • A hybrid deep learning algorithm and its application to streamflow prediction (2021) published in Journal of Hydrology

Frequent co-authors collaborating with Yongjiu Dai include:

  • Zhongwang Wei
  • Hua Yuan
  • Xingjie Lu
  • Wei Shangguan
  • Nan Wei

The scientist publishes regularly in several journals, with multiple papers appearing in these venues:

  • SSRN Electronic Journal
  • Journal of Geophysical Research Atmospheres
  • Earth system science data
  • Journal of Hydrometeorology
  • Journal of Advances in Modeling Earth Systems

Best Publications

  • The Common Land Model

    Yongjiu Dai;Xubin Zeng;Robert E. Dickinson;Ian Baker

  • Technical Description of the Community Land Model (CLM)

    Keith Oleson;Yongjiu Dai;B. Bonan;Mike Bosilovichm

  • The land surface climatology of the community land model coupled to the NCAR community climate model

    Gordon B. Bonan;Keith W. Oleson;Mariana Vertenstein;Samuel Levis

  • A global soil data set for earth system modeling

    Wei Shangguan;Yongjiu Dai;Qingyun Duan;Baoyuan Liu

  • A China data set of soil properties for land surface modeling

    Wei Shangguan;Yongjiu Dai;Baoyuan Liu;Axing Zhu

  • Water balance creates a threshold in soil pH at the global scale

    E. W. Slessarev;Y. Lin;N. L. Bingham;J. E. Johnson;J. E. Johnson

  • A Two-Big-Leaf Model for Canopy Temperature, Photosynthesis, and Stomatal Conductance

    Yongjiu Dai;Robert E. Dickinson;Ying Ping Wang

  • Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling

    Hua Yuan;Yongjiu Dai;Zhiqiang Xiao;Duoying Ji

  • Cabauw Experimental Results from the Project for Intercomparison of Land-Surface Parameterization Schemes

    T.H. Chen;A. Henderson-Sellers;P.C.D. Milly;A.J. Pitman

  • Mapping the global depth to bedrock for land surface modeling

    Wei Shangguan;Tomislav Hengl;Jorge Mendes de Jesus;Hua Yuan

  • Coupling of the Common Land Model to the NCAR Community Climate Model

    Xubin Zeng;Muhammad Shaikh;Yongjiu Dai;Robert E. Dickinson

  • The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) Phase 2(c) Red–Arkansas River basin experiment:: 1. Experiment description and summary intercomparisons

    Eric F. Wood;Dennis P. Lettenmaier;Xu Liang;Dag Lohmann

  • Validation of the energy budget of an alpine snowpack simulated by several snow models (SnowMIP project)

    Pierre Etchevers;Eric Martin;Ross Brown;Charles Fierz

  • Development of a China Dataset of Soil Hydraulic Parameters Using Pedotransfer Functions for Land Surface Modeling

    Yongjiu Dai;Wei Shangguan;Qingyun Duan;Baoyuan Liu

  • Simulations of a boreal grassland hydrology at Valdai, Russia: PILPS phase 2(d).

    C. Adam Schlosser;Andrew G. Slater;Alan Robock;Andrew J. Pitman

  • Description and basic evaluation of Beijing Normal University Earth System Model (BNU-ESM) version 1

    D. Ji;L. Wang;J. Feng;Q. Wu

  • A land surface model (IAP94) for climate studies part I: Formulation and validation in off-line experiments

    Unknown

  • The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) phase 2(c) Red–Arkansas River basin experiment:: 3. Spatial and temporal analysis of water fluxes

    Dag Lohmann;Dennis P. Lettenmaier;Xu Liang;Eric F. Wood

  • Effects of frozen soil on soil temperature, spring infiltration, and runoff: Results from the PILPS 2(d) experiment at Valdai, Russia

    Lifeng Luo;Alan Robock;Konstantin Y. Vinnikov;C. Adam Schlosser

  • A soil particle-size distribution dataset for regional land and climate modelling in China

    Wei Shangguan;Yongjiu Dai;Baoyuan Liu;Aizhong Ye

  • ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks

    Gerhard Krinner;Chris Derksen;Richard Essery;Mark Flanner

  • A Global High-Resolution Data Set of Soil Hydraulic and Thermal Properties for Land Surface Modeling

    Yongjiu Dai;Qinchuan Xin;Nan Wei;Yonggen Zhang

  • An inventory of glacial lakes in the Third Pole region and their changes in response to global warming

    Y. Dai;G. Zhang;T. Yao;H. Xie

Frequent Co-Authors

Robert E. Dickinson
Robert E. Dickinson The University of Texas at Austin
Ying-Ping Wang
Ying-Ping Wang Commonwealth Scientific and Industrial Research Organisation
Liming Zhou
Liming Zhou University at Albany, State University of New York
Qingyun Duan
Qingyun Duan Hohai University
Jiafu Mao
Jiafu Mao Oak Ridge National Laboratory
Xubin Zeng
Xubin Zeng University of Arizona
Zong-Liang Yang
Zong-Liang Yang The University of Texas at Austin
Peng Gong
Peng Gong University of Hong Kong
Andrew J. Pitman
Andrew J. Pitman University of New South Wales
Xin-Zhong Liang
Xin-Zhong Liang University of Maryland, College Park

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