World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
59
Citations
16170
World Ranking
3048
National Ranking
311

Kaicun Wang 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 Kaicun Wang 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: 167 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Kaicun Wang 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 Kaicun Wang 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: 59 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Kaicun Wang is affiliated with Beijing Normal University in China and has a significant research presence in Environmental Science and Earth and Planetary Sciences. Their work extensively covers subfields such as Global and Planetary Change, Atmospheric Science, Environmental Engineering, Artificial Intelligence, and Oceanography.

The scientist's research focuses on key topics including Climate variability and models, Meteorological Phenomena and Simulations, Precipitation Measurement and Analysis, Atmospheric aerosols and clouds, Urban Heat Island Mitigation, Cryospheric studies and observations, and Solar Radiation and Photovoltaics.

Kaicun Wang has contributed to several recent publications that include:

  • "Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism" (2020) in Environment International
  • "Provincial and gridded population projection for China under shared socioeconomic pathways from 2010 to 2100" (2020) in Scientific Data
  • "Carbon mitigation potential afforded by rooftop photovoltaic in China" (2023) in Nature Communications
  • "Mitigation of China's carbon neutrality to global warming" (2022) in Nature Communications
  • "Stilling and Recovery of the Surface Wind Speed Based on Observation, Reanalysis, and Geostrophic Wind Theory over China from 1960 to 2017" (2020) in Journal of Climate

The scientist frequently publishes in prominent journals such as:

  • Journal of Geophysical Research Atmospheres
  • Geophysical Research Letters
  • Journal of Climate
  • Bulletin of the American Meteorological Society
  • Environmental Research Letters

Kaicun Wang collaborates regularly with a set of frequent co-authors, which include Guocan Wu, Yuna Mao, Zhengtai Zhang, Yanyi He, and Dan Qi. These collaborations highlight a network of researchers engaged in related scientific domains.

Best Publications

  • A REVIEW OF GLOBAL TERRESTRIAL EVAPOTRANSPIRATION: OBSERVATION, MODELING, CLIMATOLOGY, AND CLIMATIC VARIABILITY

    Kaicun Wang;Robert Earl Dickinson

  • Aerosol and monsoon climate interactions over Asia

    Zhanqing Li;Zhanqing Li;W. K.M. Lau;V. Ramanathan;G. Wu

  • Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism.

    Ziyue Chen;Danlu Chen;Chuanfeng Zhao;Mei po Kwan

  • Quantitative assessment of atmospheric emissions of toxic heavy metals from anthropogenic sources in China: historical trend, spatial distribution, uncertainties, and control policies

    H. Z. Tian;C. Y. Zhu;J. J. Gao;K. Cheng;K. Cheng

  • Provincial and gridded population projection for China under shared socioeconomic pathways from 2010 to 2100

    Yidan Chen;Fang Guo;Jiachen Wang;Wenjia Cai

  • Global intercomparison of 12 land surface heat flux estimates

    C. Jiménez;C. Prigent;B. Mueller;S. I. Seneviratne

  • Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis

    Brigitte Mueller;Martin Hirschi;Carlos Jimenez;Philippe Ciais

  • Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations

    Brigitte Mueller;S. I. Seneviratne;C. Jimenez;T. Corti

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

    Kaicun Wang;Robert E. Dickinson;Shunlin Liang

  • Estimation of evaporative fraction from a combination of day and night land surface temperatures and NDVI: A new method to determine the Priestley-Taylor parameter

    Kaicun Wang;Kaicun Wang;Zhanqing Li;M. Cribb

  • 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

  • Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China

    Yang Chen;Jiangzhou Xia;Shunlin Liang;Shunlin Liang;Jinming Feng;Jinming Feng

  • Evaluation of ASTER and MODIS land surface temperature and emissivity products using long-term surface longwave radiation observations at SURFRAD sites

    Kaicun Wang;Shunlin Liang

  • PM2.5 Pollution in China and How It Has Been Exacerbated by Terrain and Meteorological Conditions

    Xiaoyan Wang;Robert E. Dickinson;Liangyuan Su;Chunlüe Zhou

  • A simple method to estimate actual evapotranspiration from a combination of net radiation, vegetation index, and temperature

    Kaicun Wang;Pucai Wang;Zhanqing Li;M. Cribb

  • Estimation of surface long wave radiation and broadband emissivity using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature//emissivity products

    Kaicun Wang;Zhengming Wan;Pucai Wang;Michael Sparrow

  • Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations

    Yunjun Yao;Shunlin Liang;Shunlin Liang;Xianglan Li;Yang Hong;Yang Hong

  • An improved method for estimating global evapotranspiration based on satellite determination of surface net radiation, vegetation index, temperature, and soil moisture

    Kaicun Wang;Shunlin Liang

  • Evidence for decadal variation in global terrestrial evapotranspiration between 1982 and 2002: 1. Model development

    Kaicun Wang;Kaicun Wang;Kaicun Wang;Robert E. Dickinson;Martin Wild;Shunlin Liang

  • Developed and developing world responsibilities for historical climate change and CO2 mitigation

    Ting Wei;Shili Yang;John C. Moore;John C. Moore;John C. Moore;Peijun Shi

  • 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

Frequent Co-Authors

Shunlin Liang
Shunlin Liang University of Hong Kong
Robert E. Dickinson
Robert E. Dickinson The University of Texas at Austin
Joshua B. Fisher
Joshua B. Fisher Chapman University
Martin Wild
Martin Wild ETH Zurich
Chuanfeng Zhao
Chuanfeng Zhao Beijing Normal University
Cheng Sun
Cheng Sun Northwestern University
Pucai Wang
Pucai Wang Chinese Academy of Sciences
Zhanqing Li
Zhanqing Li University of Maryland, College Park
Xuhui Lee
Xuhui Lee Yale University
Qiaozhen Mu
Qiaozhen Mu Science Systems & Applications, Inc.

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