World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
48
Citations
18212
World Ranking
5393
National Ranking
1974

Guo-Yue Niu 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 Guo-Yue Niu 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: 129 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Guo-Yue Niu 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 Guo-Yue Niu 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: 48 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Overview

Guo-Yue Niu is affiliated with the University of Arizona in the United States. Their research primarily spans environmental science and earth and planetary sciences, with a focus on several subfields including global and planetary change, atmospheric science, water science and technology, environmental engineering, and soil science.

Niu's work centers around key topics such as hydrology and watershed management studies, plant water relations and carbon dynamics, climate variability and models, cryospheric studies and observations, meteorological phenomena and simulations, soil moisture and remote sensing, and flood risk assessment and management.

They have contributed to numerous publications over the years. Some recent papers include:

  • Enhancing the Noah-MP Ecosystem Response to Droughts With an Explicit Representation of Plant Water Storage Supplied by Dynamic Root Water Uptake (2020), Journal of Advances in Modeling Earth Systems
  • Why Is the Terrestrial Water Storage in Dryland Regions Declining? A Perspective Based on Gravity Recovery and Climate Experiment Satellite Observations and Noah Land Surface Model With Multiparameterization Schemes Model Simulations (2020), Water Resources Research
  • Modernizing the open-source community Noah with multi-parameterization options (Noah-MP) land surface model (version 5.0) with enhanced modularity, interoperability, and applicability (2023), Geoscientific Model Development
  • Global Evaluation of the Noah-MP Land Surface Model and Suggestions for Selecting Parameterization Schemes (2022), Journal of Geophysical Research Atmospheres
  • High-resolution simulations of mean and extreme precipitation with WRF for the soil-erosive Loess Plateau (2020), Climate Dynamics

Niu frequently collaborates with several researchers, including:

  • S. A. Papuga
  • Kumud Acharya
  • Newsha Ajami
  • Christophe Ancey
  • Holly Barnard

Their work has appeared in multiple publication venues, notably:

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

Best Publications

  • The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements

    Guo ‐ Yue Niu;Guo ‐ Yue Niu;Zong ‐ Liang Yang;Kenneth E. Mitchell;Fei Chen

  • Technical Description of version 4.0 of the Community Land Model (CLM)

    W. Oleson;M. Lawrence;B. Bonan;G. Flanner

  • The Common Land Model

    Yongjiu Dai;Xubin Zeng;Robert E. Dickinson;Ian Baker

  • Technical Description of the Community Land Model (CLM)

    Keith Oleson;Yongjiu Dai;B. Bonan;Mike Bosilovichm

  • Improvements to the Community Land Model and their impact on the hydrological cycle

    K. W. Oleson;G. Y. Niu;Zong-Liang Yang;D. M. Lawrence

  • The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins

    Zong Liang Yang;Guo Yue Niu;Guo Yue Niu;Kenneth E. Mitchell;Fei Chen

  • Development of a simple groundwater model for use in climate models and evaluation with Gravity Recovery and Climate Experiment data

    Guo Yue Niu;Zong-Liang Yang;Robert Earl Dickinson;Lindsey E. Gulden

  • A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models

    Guo Yue Niu;Zong Liang Yang;Robert E. Dickinson;Lindsey E. Gulden

  • 2005 drought event in the Amazon River basin as measured by GRACE and estimated by climate models

    Jianli Chen;Clark R Wilson;Byron D Tapley;Zong-Liang Yang

  • Development of a China Dataset of Soil Hydraulic Parameters Using Pedotransfer Functions for Land Surface Modeling

    Yongjiu Dai;Wei Shangguan;Qingyun Duan;Baoyuan Liu

  • A gridded global data set of soil, intact regolith, and sedimentary deposit thicknesses for regional and global land surface modeling

    Jon D. Pelletier;Patrick D. Broxton;Pieter Hazenberg;Xubin Zeng

  • The Rhône-Aggregation Land Surface Scheme Intercomparison Project: An Overview

    Aaron A. Boone;F. Habets;J. Noilhan;D. Clark

  • River Network Routing on the NHDPlus Dataset

    Cédric H. David;David R Maidment;Guo Yue Niu;Guo Yue Niu;Zong-Liang Yang

  • Effects of vegetation canopy processes on snow surface energy and mass balances

    Guo Yue Niu;Zong Liang Yang

  • An observation-based formulation of snow cover fraction and its evaluation over large North American river basins

    Guo Yue Niu;Zong Liang Yang

  • Simulation of high-latitude hydrological processes in the Torne-Kalix basin: PILPS phase 2(e) - 1: Experiment description and summary intercomparisons

    Laura C. Bowling;Dennis P. Lettenmaier;Bart Nijssen;Bart Nijssen;L. Phil Graham

  • Hydrological evaluation of the Noah‐MP land surface model for the Mississippi River Basin

    Xitian Cai;Zong Liang Yang;Cédric H. David;Cédric H. David;Guo Yue Niu

  • Quantifying parameter sensitivity, interaction, and transferability in hydrologically enhanced versions of the Noah land surface model over transition zones during the warm season

    Enrique Rosero;Enrique Rosero;Zong Liang Yang;Thorsten Wagener;Lindsey E. Gulden;Lindsey E. Gulden

  • Simulation of high latitude hydrological processes in the Torne-Kalix basin : PILPS phase 2(e) - 2: Comparison of model results with observations

    Bart Nijssen;Bart Nijssen;Laura C. Bowling;Dennis P. Lettenmaier;Douglas B. Clark

  • The effect of groundwater interaction in North American regional climate simulations with WRF/Noah-MP

    Michael Barlage;Mukul Tewari;Fei Chen;Gonzalo Miguez-Macho

  • A Systematic Evaluation of Noah-MP in Simulating Land-Atmosphere Energy, Water, and Carbon Exchanges Over the Continental United States

    Ning Ma;Ning Ma;Guo Yue Niu;Youlong Xia;Xitian Cai

Frequent Co-Authors

Zong-Liang Yang
Zong-Liang Yang The University of Texas at Austin
Peter Troch
Peter Troch University of Arizona
Xubin Zeng
Xubin Zeng University of Arizona
Greg A. Barron-Gafford
Greg A. Barron-Gafford University of Arizona
Jon D. Pelletier
Jon D. Pelletier University of Arizona
Jiming Jin
Jiming Jin Utah State University
Robert E. Dickinson
Robert E. Dickinson The University of Texas at Austin
Claudio Paniconi
Claudio Paniconi Institut National de la Recherche Scientifique
Jon Chorover
Jon Chorover University of Arizona
David Gochis
David Gochis National Center for Atmospheric Research

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