World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
57
Citations
11933
World Ranking
3446
National Ranking
1323

Shaocheng Xie 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 Shaocheng Xie 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: 269 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Shaocheng Xie 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 Shaocheng Xie 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: 57 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Shaocheng Xie is affiliated with the Lawrence Livermore National Laboratory in the United States, contributing extensively to research in Earth and Planetary Sciences as well as Environmental Science. Their work primarily focuses on Atmospheric Science and Global and Planetary Change, with additional research interests in Oceanography, Plant Science, and Environmental Engineering.

The research topics addressed by Shaocheng Xie encompass a range of climate and atmospheric phenomena. Key areas include:

  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Atmospheric and Environmental Gas Dynamics
  • Atmospheric chemistry and aerosols
  • Atmospheric aerosols and clouds
  • Atmospheric Ozone and Climate
  • Oceanographic and Atmospheric Processes

Xie has contributed to numerous publications in various scientific venues. Frequent publication outlets include:

  • Journal of Advances in Modeling Earth Systems
  • Geoscientific Model Development
  • Journal of Geophysical Research Atmospheres
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Climate

Among the recent papers featuring Xie's work are:

  • "The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation" (2022), Journal of Advances in Modeling Earth Systems
  • "Disproportionate control on aerosol burden by light rain" (2021), Nature Geoscience
  • "Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1" (2022), Geoscientific Model Development
  • "Evaluating the Diurnal and Semidiurnal Cycle of Precipitation in CMIP6 Models Using Satellite- and Ground-Based Observations" (2021), Journal of Climate
  • "Improving Convection Trigger Functions in Deep Convective Parameterization Schemes Using Machine Learning" (2021), Journal of Advances in Modeling Earth Systems

Collaborative efforts in their research have included frequent co-authorship with several scientists, notably:

  • Wuyin Lin
  • Qi Tang
  • Jean-Christophe Golaz
  • L. Ruby Leung
  • Xiaohong Liu

Best Publications

  • The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution

    Jean Christophe Golaz;Peter M. Caldwell;Luke P. Van Roekel;Mark R. Petersen

  • Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements

    M. H. Zhang;W. Y. Lin;S. A. Klein;S. A. Klein;J. T. Bacmeister

  • Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: single-layer cloud

    Stephen A. Klein;Renata B. McCoy;Hugh Morrison;Andrew S. Ackerman

  • An Overview of the Atmospheric Component of the Energy Exascale Earth System Model

    P. J. Rasch;S. Xie;P.-L. Ma;W. Lin

  • Indirect and semi-direct aerosol campaign: The impact of Arctic aerosols on clouds

    Greg M. McFarquhar;Steven Ghan;Johannes Verlinde;Alexei Korolev

  • The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation

    Unknown

  • Toward understanding of differences in current cloud retrievals of ARM ground-based measurements

    Chuanfeng Zhao;Shaocheng Xie;Stephen A. Klein;Alain Protat

  • Objective Analysis of ARM IOP Data: Method and Sensitivity

    M. H. Zhang;J. L. Lin;R. T. Cederwall;J. J. Yio

  • The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution

    Peter M. Caldwell;Azamat Mametjanov;Qi Tang;Luke P. Van Roekel

  • Evaluating Parameterizations in General Circulation Models: Climate Simulation Meets Weather Prediction

    Thomas J. Phillips;Gerald L. Potter;David L. Williamson;Richard T. Cederwall

  • CLOUDS AND MORE: ARM Climate Modeling Best Estimate Data

    Shaocheng Xie;Renata B. McCoy;Stephen A. Klein;Richard T. Cederwall

  • An intercomparison of cloud-resolving models with the atmospheric radiation measurement summer 1997 intensive observation period data

    Kuan Man Xu;Richard T. Cederwall;Leo J. Donner;Wojciech W. Grabowski

  • Aerosols in the E3SM Version 1: New Developments and Their Impacts on Radiative Forcing

    Hailong Wang;Richard C. Easter;Rudong Zhang;Po‐Lun Ma

  • Understanding Cloud and Convective Characteristics in Version 1 of the E3SM Atmosphere Model

    Shaocheng Xie;Wuyin Lin;Philip J. Rasch;Po-Lun Ma

  • The Midlatitude Continental Convective Clouds Experiment (MC3E)

    M. P. Jensen;W. A. Petersen;Aaron R. Bansemer;N. Bharadwaj

  • Developing long‐term single‐column model/cloud system–resolving model forcing data using numerical weather prediction products constrained by surface and top of the atmosphere observations

    Shaocheng Xie;Richard T. Cederwall;Minghua Zhang

  • Diagnosis of the summertime warm and dry bias over the U. S. Southern Great Plains in the GFDL climate model using a weather forecasting approach

    Stephen A. Klein;Xianan Jiang;Jim Boyle;Sergey Malyshev

  • Improved Diurnal Cycle of Precipitation in E3SM With a Revised Convective Triggering Function

    Shaocheng Xie;Yi-Chi Wang;Wuyin Lin;Hsi-Yen Ma

  • Impact of the convection triggering function on single‐column model simulations

    Shaocheng Xie;Minghua Zhang

  • Intercomparison and evaluation of cumulus parametrizations under summertime midlatitude continental conditions

    Shaocheng Xie;Kuan Man Xu;Richard T. Cederwall;Peter Bechtold

  • A Comparison of MERRA and NARR Reanalyses with the DOE ARM SGP Data

    Aaron D. Kennedy;Xiquan Dong;Baike Xi;Shaocheng Xie

  • Simulations of midlatitude frontal clouds by single-column and cloud--resolving models during the Atmospheric Radiation Measurement March 2000 cloud intensive operational period

    Shaocheng Xie;Minghua H. Zhang;Mark Branson;Richard T. Cederwall

Frequent Co-Authors

Minghua Zhang
Minghua Zhang Stony Brook University
Stephen A. Klein
Stephen A. Klein Lawrence Livermore National Laboratory
James S. Boyle
James S. Boyle Lawrence Livermore National Laboratory
Xiaohong Liu
Xiaohong Liu Texas A&M University
Jean-Christophe Golaz
Jean-Christophe Golaz Lawrence Livermore National Laboratory
Yun Qian
Yun Qian Pacific Northwest National Laboratory
Steven J. Ghan
Steven J. Ghan Pacific Northwest National Laboratory
Philip J. Rasch
Philip J. Rasch Pacific Northwest National Laboratory
Kuan-Man Xu
Kuan-Man Xu Langley Research Center
Ulrike Lohmann
Ulrike Lohmann ETH Zurich

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