2026 Guoqing Sun: Environmental Sciences Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Environmental Sciences	47	5806	5567	2114	1957	220	8096

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

583
Citations
Forest vertical structure from GLAS : An evaluation using LVIS and SRTM data

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

386
Citations
Development and test of an error model for categorical data

Michael F. Goodchild;Sun Guoqing;Yang Shiren

325
Citations
Validation of surface height from shuttle radar topography mission using shuttle laser altimeter

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

322
Citations
Mapping biomass of a northern forest using multifrequency SAR data

K.J. Ranson;Guoqing Sun

312
Citations
Modeling lidar returns from forest canopies

G. Sun;K.J. Ranson

293
Citations
L-Band Radar Backscatter Modeling of Forest Stands

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

265
Citations
Forest biomass mapping from lidar and radar synergies

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

201
Citations
Estimating Siberian timber volume using MODIS and ICESat/GLAS.

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

197
Citations
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

185
Citations
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

163
Citations
A three-dimensional radar backscatter model of forest canopies

Guoqing Sun;K. Jon Ranson

163
Citations
Radiometric slope correction for forest biomass estimation from SAR data in the Western Sayani Mountains, Siberia

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

161
Citations
Boreal forest ecosystem characterization with SIR-C/XSAR

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

159
Citations
Inversion of a lidar waveform model for forest biophysical parameter estimation

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

146
Citations
A radar backscatter model for discontinuous coniferous forests

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

146
Citations
Predicting lidar measured forest vertical structure from multi-angle spectral data

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

137
Citations
Forest biomass from combined ecosystem and radar backscatter modeling

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

131
Citations
MODIS Tree Cover Validation for the Circumpolar Taiga-Tundra Transition Zone

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

130
Citations
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

123
Citations
Mapping of boreal forest biomass from spaceborne synthetic aperture radar

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

118
Citations
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

2
Citations

Frequent Co-Authors

Kenneth J. Ranson Goddard Space Flight Center

Jeffrey G. Masek Goddard Space Flight Center

Bruce D. Cook Goddard Space Flight Center

Hank A. Margolis National Aeronautics and Space Administration

Ross Nelson Goddard Space Flight Center

Qinhuo Liu Chinese Academy of Sciences

Ralph Dubayah University of Maryland, College Park

Alan H. Strahler Boston University

Chengquan Huang University of Maryland, College Park

John F. Weishampel University of Central Florida

External Links

Personal website of Guoqing Sun

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