World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
47
Citations
8096
World Ranking
5806
National Ranking
2114

Guoqing Sun 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 Guoqing Sun 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: 220 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Guoqing Sun 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 Guoqing Sun 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: 47 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Guoqing Sun is affiliated with the University of Maryland, College Park in the United States and specializes in environmental and earth sciences. Their work largely focuses on the analysis and modeling of environmental processes, with a particular emphasis on the Tibetan Plateau and its ecological dynamics.

The scientist has published extensively in the fields of Environmental Science and Earth and Planetary Sciences. Their research covers diverse subfields, including Global and Planetary Change, Atmospheric Science, Water Science and Technology, Ecology, and Civil and Structural Engineering.

Main topics of research include:

  • Plant Water Relations and Carbon Dynamics
  • Climate variability and models
  • Meteorological Phenomena and Simulations
  • Hydrology and Watershed Management Studies
  • Soil and Unsaturated Flow
  • Remote Sensing in Agriculture
  • Atmospheric and Environmental Gas Dynamics

Frequent publication venues for Guoqing Sun encompass journals that focus on atmospheric and environmental research, namely:

  • Journal of Geophysical Research Atmospheres
  • Agricultural and Forest Meteorology
  • Geophysical Research Letters
  • Meteorological Applications
  • arXiv (Cornell University)

Notable recent papers by Guoqing Sun include:

  • "Impacts of two types of errors on the predictability of terrestrial carbon cycle," 2021, Ecosphere
  • "Identification of Key Physical Processes and Improvements for Simulating and Predicting Net Primary Production Over the Tibetan Plateau," 2020, Journal of Geophysical Research Atmospheres
  • "Fingerprints of Anthropogenic Influences on Vegetation Change Over the Tibetan Plateau From an Ecohydrological Diagnosis," 2020, Geophysical Research Letters
  • "Weakening amplification of grassland greening to transpiration fraction of evapotranspiration over the Tibetan Plateau during 2001-2020," 2023, Agricultural and Forest Meteorology
  • "Tree trunk detection in urban scenes using a multiscale attention-based deep learning method," 2023, Ecological Informatics

Guoqing Sun collaborates frequently with a range of researchers. Frequent coauthors include:

  • Mu Mu
  • Qinglong You
  • Qiyu Zhang
  • Qiujie Ren
  • Zheng Jin

Best Publications

  • Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years

    Jingfeng Xiao;Frederic Chevallier;Cecile Gomez;Luis Guanter

  • Forest vertical structure from GLAS : An evaluation using LVIS and SRTM data

    G. Sun;K.J. Ranson;D.S. Kimes;J.B. Blair

  • Development and test of an error model for categorical data

    Michael F. Goodchild;Sun Guoqing;Yang Shiren

  • Validation of surface height from shuttle radar topography mission using shuttle laser altimeter

    G Sun;K.J Ranson;V.I Kharuk;K Kovacs

  • Mapping biomass of a northern forest using multifrequency SAR data

    K.J. Ranson;Guoqing Sun

  • Modeling lidar returns from forest canopies

    G. Sun;K.J. Ranson

  • L-Band Radar Backscatter Modeling of Forest Stands

    John A. Richards;Guo-Qing Sun;David S. Simonett

  • Forest biomass mapping from lidar and radar synergies

    Guoqing Sun;K. Jon Ranson;Z. Guo;Z. Zhang

  • Estimating Siberian timber volume using MODIS and ICESat/GLAS.

    R. Nelson;K.J. Ranson;G. Sun;D.S. Kimes

  • Assessing general relationships between aboveground biomass and vegetation structure parameters for improved carbon estimate from lidar remote sensing

    Wenge Ni-Meister;Shihyan Lee;Alan H. Strahler;Curtis E. Woodcock

  • Fusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization

    Benjamin Koetz;Guoqing Sun;Felix Morsdorf;K.J. Ranson

  • A three-dimensional radar backscatter model of forest canopies

    Guoqing Sun;K. Jon Ranson

  • Radiometric slope correction for forest biomass estimation from SAR data in the Western Sayani Mountains, Siberia

    G Sun;K.J Ranson;V.I Kharuk

  • Boreal forest ecosystem characterization with SIR-C/XSAR

    K.J. Ranson;S. Saatchi;Guoqing Sun

  • Inversion of a lidar waveform model for forest biophysical parameter estimation

    B. Koetz;F. Morsdorf;G. Sun;K.J. Ranson

  • A radar backscatter model for discontinuous coniferous forests

    G. Sun;D.S. Simonett;A.H. Strahler

  • Predicting lidar measured forest vertical structure from multi-angle spectral data

    D.S. Kimes;K.J. Ranson;G. Sun;J.B. Blair

  • Forest biomass from combined ecosystem and radar backscatter modeling

    K.J. Ranson;G. Sun;J.F. Weishampel;R.G. Knox

  • MODIS Tree Cover Validation for the Circumpolar Taiga-Tundra Transition Zone

    P. M. Montesano;R. Nelson;G. Sun;H. Margolis

  • Combining satellite lidar, airborne lidar, and ground plots to estimate the amount and distribution of aboveground biomass in the boreal forest of North America1

    Hank A. Margolis;Hank A. Margolis;Ross F. Nelson;Paul M. Montesano;André Beaudoin

  • Mapping of boreal forest biomass from spaceborne synthetic aperture radar

    K. Jon Ranson;Guoqing Sun;Roger H. Lang;Narinder S. Chauhan

  • Assessing General Relationships Between Above-Ground Biomass and Vegetation Structure Parameters for Improved Carbon Estimate from Lidar Remote Sensing

    W. Ni-Meister;S. Lee;A. H. Strahler;C. E. Woodcock

Frequent Co-Authors

Kenneth J. Ranson
Kenneth J. Ranson Goddard Space Flight Center
Jeffrey G. Masek
Jeffrey G. Masek Goddard Space Flight Center
Bruce D. Cook
Bruce D. Cook Goddard Space Flight Center
Hank A. Margolis
Hank A. Margolis National Aeronautics and Space Administration
Ross Nelson
Ross Nelson Goddard Space Flight Center
Qinhuo Liu
Qinhuo Liu Chinese Academy of Sciences
Ralph Dubayah
Ralph Dubayah University of Maryland, College Park
Alan H. Strahler
Alan H. Strahler Boston University
Chengquan Huang
Chengquan Huang University of Maryland, College Park
John F. Weishampel
John F. Weishampel University of Central Florida

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