World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
51
Citations
10540
World Ranking
4706
National Ranking
1740

Guang J. Zhang 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 Guang J. Zhang 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: 148 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Guang J. Zhang 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 Guang J. Zhang 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: 51 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Guang J. Zhang is affiliated with the Scripps Institution of Oceanography in the United States. Their research primarily spans the fields of Earth and Planetary Sciences as well as Environmental Science, with a substantial output in both areas.

Their work is focused on several key subfields, including Atmospheric Science, Global and Planetary Change, Environmental Engineering, Oceanography, and Mechanical Engineering. The main topics covered in their research include:

  • Meteorological Phenomena and Simulations
  • Climate variability and models
  • Atmospheric aerosols and clouds
  • Atmospheric chemistry and aerosols
  • Tropical and Extratropical Cyclones Research
  • Atmospheric Ozone and Climate
  • Atmospheric and Environmental Gas Dynamics

Zhang's frequent publication venues reflect a strong presence in interdisciplinary atmospheric and environmental science journals. These venues consist of:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Advances in Modeling Earth Systems
  • Geophysical Research Letters
  • Journal of Geophysical Research Atmospheres
  • Atmospheric chemistry and physics

Their recent published papers illustrate a focus on climate metrics, atmospheric physics, and earth system modeling. Selected publications include:

  • "Trends in surface equivalent potential temperature: A more comprehensive metric for global warming and weather extremes," 2022, Proceedings of the National Academy of Sciences
  • "A Moist Physics Parameterization Based on Deep Learning," 2020, Journal of Advances in Modeling Earth Systems
  • "Community Integrated Earth System Model (CIESM): Description and Evaluation," 2020, Journal of Advances in Modeling Earth Systems
  • "Disproportionate control on aerosol burden by light rain," 2021, Nature Geoscience
  • "Stable climate simulations using a realistic general circulation model with neural network parameterizations for atmospheric moist physics and radiation processes," 2022, Geoscientific Model Development

Guang J. Zhang has collaborated extensively with other researchers in related atmospheric and climate fields. Their frequent co-authors include Yong Wang, Yilun Han, Shaocheng Xie, Wuyin Lin, and Xiaoliang Song.

Best Publications

  • Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian climate centre general circulation model

    G.J. Zhang;Norman A. McFarlane

  • Warm Pool Heat Budget and Shortwave Cloud Forcing: A Missing Physics?

    V. Ramanathan;B. Subasilar;G. J. Zhang;W. Conant

  • Application of MJO Simulation Diagnostics to Climate Models

    D. Kim;K. Sperber;W. Stern;D. Waliser

  • Vertical structure and physical processes of the Madden-Julian oscillation: exploring key model physics in climate simulations

    Xianan Jiang;Xianan Jiang;Duane E. Waliser;Duane E. Waliser;Prince K. Xavier;Jon Petch

  • A Decomposition of Feedback Contributions to Polar Warming Amplification

    Patrick C. Taylor;Ming Cai;Aixue Hu;Jerry Meehl

  • The Relationship between Sea Surface Temperature and Latent Heat Flux in the Equatorial Pacific

    Guang Jun Zhang;Michael J. Mcphaden

  • Trends in surface equivalent potential temperature: A more comprehensive metric for global warming and weather extremes

    Unknown

  • Convective quasi-equilibrium in midlatitude continental environment and its effect on convective parameterization

    Guang J. Zhang

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

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

  • Performance of the New NCAR CAM3.5 in East Asian Summer Monsoon Simulations: Sensitivity to Modifications of the Convection Scheme

    Haoming Chen;Tianjun Zhou;Richard B. Neale;Xiaoqing Wu

  • Effects of modifications to the Zhang-McFarlane convection parameterization on the simulation of the tropical precipitation in the National Center for Atmospheric Research Community Climate Model, version 3

    Guang J. Zhang;Mingquan Mu

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

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

  • A Moist Physics Parameterization Based on Deep Learning

    Yilun Han;Guang J. Zhang;Xiaomeng Huang;Yong Wang

  • Energy consumption and the unexplained winter warming over northern Asia and North America

    Guang J. Zhang;Ming Cai;Aixue Hu

  • Uncertainty quantification and parameter tuning in the CAM5 Zhang‐McFarlane convection scheme and impact of improved convection on the global circulation and climate

    Ben Yang;Ben Yang;Yun Qian;Guang Lin;L. Ruby Leung

  • Microphysics parameterization for convective clouds in a global climate model: Description and single-column model tests

    Xiaoliang Song;Guang J. Zhang

  • Role of convective scale momentum transport in climate simulation

    Guang Jun Zhang;Norman A. McFarlane

  • Toward mitigating the double ITCZ problem in NCAR CCSM3

    Guang J. Zhang;Houjun Wang

  • Community Integrated Earth System Model (CIESM): Description and Evaluation

    Yanluan Lin;Xiaomeng Huang;Yishuang Liang;Yi Qin

  • 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

  • Interaction of deep and shallow convection is key to Madden-Julian Oscillation simulation

    Guang J. Zhang;Xiaoliang Song

  • Response of Climate Simulation to a New Convective Parameterization in the National Center for Atmospheric Research Community Climate Model (CCM3)

    Guang J. Zhang;Jeffrey T. Kiehl;Philip J. Rasch

Frequent Co-Authors

Bin Wang
Bin Wang University of Hawaii at Manoa
Jiwen Fan
Jiwen Fan Pacific Northwest National Laboratory
Kuan-Man Xu
Kuan-Man Xu Langley Research Center
Duane E. Waliser
Duane E. Waliser Jet Propulsion Lab
Shaocheng Xie
Shaocheng Xie Lawrence Livermore National Laboratory
Steven J. Ghan
Steven J. Ghan Pacific Northwest National Laboratory
Minghuai Wang
Minghuai Wang Nanjing University
Xiaohong Liu
Xiaohong Liu Texas A&M University
Daehyun Kim
Daehyun Kim University of Washington
Yun Qian
Yun Qian Pacific Northwest National Laboratory

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