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D-Index & Metrics

Earth Science

D-Index
56
Citations
10949
World Ranking
2428
National Ranking
1019

Maoyi Huang publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Maoyi Huang sits on this spectrum.

38–42 publications: 1 scientists 43–47 publications: 0 scientists 48–52 publications: 3 scientists 53–57 publications: 8 scientists 58–62 publications: 11 scientists 63–67 publications: 16 scientists 68–72 publications: 24 scientists 73–77 publications: 31 scientists 78–82 publications: 49 scientists 83–87 publications: 77 scientists 88–92 publications: 86 scientists 93–97 publications: 88 scientists 98–102 publications: 92 scientists 103–107 publications: 84 scientists 108–112 publications: 102 scientists 113–117 publications: 108 scientists 118–122 publications: 117 scientists 123–127 publications: 126 scientists 128–132 publications: 146 scientists 133–137 publications: 114 scientists 138–142 publications: 102 scientists 143–147 publications: 127 scientists 148–152 publications: 102 scientists 153–157 publications: 112 scientists 158–162 publications: 102 scientists 163–167 publications: 127 scientists 168–172 publications: 121 scientists 173–177 publications: 112 scientists 178–182 publications: 109 scientists 183–187 publications: 98 scientists 188–192 publications: 92 scientists 193–197 publications: 105 scientists 198–202 publications: 77 scientists 203–207 publications: 80 scientists 208–212 publications: 89 scientists 213–217 publications: 70 scientists 218–222 publications: 74 scientists 223–227 publications: 74 scientists 228–232 publications: 70 scientists 233–237 publications: 67 scientists 238–242 publications: 59 scientists 243–247 publications: 67 scientists 248–252 publications: 51 scientists 253–257 publications: 46 scientists 258–262 publications: 41 scientists 263–267 publications: 39 scientists 268–272 publications: 34 scientists 273–277 publications: 39 scientists 278–282 publications: 35 scientists 283–287 publications: 36 scientists 288–292 publications: 35 scientists 293–297 publications: 29 scientists 298–302 publications: 23 scientists 303–307 publications: 39 scientists 308–312 publications: 34 scientists 313–317 publications: 23 scientists 318–322 publications: 18 scientists 323–327 publications: 18 scientists 328–332 publications: 21 scientists 333–337 publications: 20 scientists 338–342 publications: 15 scientists 343–347 publications: 13 scientists 348–352 publications: 24 scientists 353–357 publications: 25 scientists 358–362 publications: 10 scientists 363–367 publications: 20 scientists 368–372 publications: 17 scientists 373–377 publications: 18 scientists 378–382 publications: 15 scientists 383–387 publications: 7 scientists 388–392 publications: 22 scientists 393–397 publications: 9 scientists 398–402 publications: 11 scientists 403–407 publications: 16 scientists 408–412 publications: 4 scientists 413–417 publications: 5 scientists 418–422 publications: 14 scientists 423–427 publications: 8 scientists 428–432 publications: 7 scientists 433–437 publications: 7 scientists 438–442 publications: 10 scientists 443–447 publications: 10 scientists 448–452 publications: 3 scientists 453–457 publications: 9 scientists 458–462 publications: 11 scientists 463–467 publications: 4 scientists 468–472 publications: 6 scientists 473–477 publications: 11 scientists 478–482 publications: 8 scientists 483–487 publications: 2 scientists 488–492 publications: 3 scientists 493–497 publications: 4 scientists 498–502 publications: 4 scientists 503–507 publications: 4 scientists 508–509 publications: 4 scientists 510+ publications: 100 scientists
38 publications 510+

This scientist: 173 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 510 publications or more.

Maoyi Huang D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Maoyi Huang sits on this spectrum.

30 D-Index: 15 scientists 31 D-Index: 42 scientists 32 D-Index: 60 scientists 33 D-Index: 90 scientists 34 D-Index: 103 scientists 35 D-Index: 108 scientists 36 D-Index: 142 scientists 37 D-Index: 147 scientists 38 D-Index: 147 scientists 39 D-Index: 152 scientists 40 D-Index: 143 scientists 41 D-Index: 157 scientists 42 D-Index: 141 scientists 43 D-Index: 151 scientists 44 D-Index: 140 scientists 45 D-Index: 135 scientists 46 D-Index: 121 scientists 47 D-Index: 108 scientists 48 D-Index: 128 scientists 49 D-Index: 111 scientists 50 D-Index: 106 scientists 51 D-Index: 112 scientists 52 D-Index: 102 scientists 53 D-Index: 103 scientists 54 D-Index: 94 scientists 55 D-Index: 61 scientists 56 D-Index: 101 scientists 57 D-Index: 71 scientists 58 D-Index: 65 scientists 59 D-Index: 78 scientists 60 D-Index: 93 scientists 61 D-Index: 56 scientists 62 D-Index: 58 scientists 63 D-Index: 52 scientists 64 D-Index: 63 scientists 65 D-Index: 49 scientists 66 D-Index: 53 scientists 67 D-Index: 57 scientists 68 D-Index: 50 scientists 69 D-Index: 44 scientists 70 D-Index: 44 scientists 71 D-Index: 31 scientists 72 D-Index: 33 scientists 73 D-Index: 33 scientists 74 D-Index: 23 scientists 75 D-Index: 32 scientists 76 D-Index: 24 scientists 77 D-Index: 17 scientists 78 D-Index: 19 scientists 79 D-Index: 9 scientists 80 D-Index: 21 scientists 81 D-Index: 20 scientists 82 D-Index: 17 scientists 83 D-Index: 19 scientists 84 D-Index: 19 scientists 85 D-Index: 14 scientists 86 D-Index: 6 scientists 87 D-Index: 14 scientists 88 D-Index: 17 scientists 89 D-Index: 10 scientists 90 D-Index: 8 scientists 91 D-Index: 8 scientists 92 D-Index: 9 scientists 93 D-Index: 6 scientists 94+ D-Index: 98 scientists
30 D-Index 94+

This scientist: 56 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 94 D-Index or more.

Overview

Maoyi Huang is affiliated with the Pacific Northwest National Laboratory in the United States. Their research primarily spans Environmental Science, with significant contributions in the subfields of Global and Planetary Change, Atmospheric Science, Water Science and Technology, Environmental Engineering, and Nature and Landscape Conservation.

Their work covers a variety of main topics including Plant Water Relations and Carbon Dynamics, Climate variability and models, Hydrology and Watershed Management Studies, Meteorological Phenomena and Simulations, Water-Energy-Food Nexus Studies, Atmospheric and Environmental Gas Dynamics, and Ecology and Vegetation Dynamics Studies.

Maoyi Huang's publication record includes contributions to multiple scientific journals and venues. They have published extensively in:

  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • Journal of Geophysical Research Atmospheres
  • Journal of Advances in Modeling Earth Systems
  • Environmental Research Letters
  • Biogeosciences

Notable recent papers by Maoyi Huang include:

  • Global land use for 2015-2100 at 0.05° resolution under diverse socioeconomic and climate scenarios, 2020, Scientific Data
  • Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado Island, Panama, 2020, Biogeosciences
  • Biophysical impacts of Earth greening largely controlled by aerodynamic resistance, 2020, Science Advances
  • A substantial role of soil erosion in the land carbon sink and its future changes, 2020, Global Change Biology
  • Neglecting irrigation contributes to the simulated summertime warm-and-dry bias in the central United States, 2020, npj Climate and Atmospheric Science

Frequent collaborators in Maoyi Huang's research include:

  • Xingyuan Chen
  • Zhao Yang
  • Xuehang Song
  • Zhangshuan Hou
  • Yanyan Cheng

Best Publications

  • Technical description of version 4.5 of the Community Land Model (CLM)

    Keith Oleson;M. Lawrence;B. Bonan;Beth Drewniak

  • Global patterns of drought recovery

    Christopher R. Schwalm;Christopher R. Schwalm;William R. L. Anderegg;Anna M. Michalak;Joshua B. Fisher

  • Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops

    Q. Duan;J. Schaake;V. Andréassian;S. Franks

  • Hillslope Hydrology in Global Change Research and Earth System Modeling

    Ying Fan;M. Clark;D. M. Lawrence;S. Swenson

  • A new parameterization for surface and groundwater interactions and its impact on water budgets with the variable infiltration capacity (VIC) land surface model

    Xu Liang;Zhenghui Xie;Zhenghui Xie;Maoyi Huang

  • A Physically Based Runoff Routing Model for Land Surface and Earth System Models

    Hongyi Li;Mark S. Wigmosta;Huan Wu;Maoyi Huang

  • Global patterns and controls of soil organic carbon dynamics as simulated by multiple terrestrial biosphere models: Current status and future directions.

    Hanqin Tian;Chaoqun Lu;Jia Yang;Kamaljit Banger

  • Impact of large‐scale climate extremes on biospheric carbon fluxes: An intercomparison based on MsTMIP data

    Jakob Zscheischler;Jakob Zscheischler;Anna M. Michalak;Christopher Schwalm;Miguel D. Mahecha

  • The North American Carbon Program Multi-Scale Synthesis and Terrestrial Model Intercomparison Project – Part 1: Overview and experimental design

    D. N. Huntzinger;C. Schwalm;A. M. Michalak;K. Schaefer

  • Impacts of Climate Change on Energy Consumption and Peak Demand in Buildings: A Detailed Regional Approach

    James A. Dirks;Willy J. Gorrissen;John H. Hathaway;Daniel C. Skorski

  • Uncertainty in the response of terrestrial carbon sink to environmental drivers undermines carbon-climate feedback predictions.

    D. N. Huntzinger;A. M. Michalak;C. Schwalm;C. Schwalm;P. Ciais

  • A new global river network database for macroscale hydrologic modeling

    Huan Wu;Huan Wu;John S. Kimball;Hongyi Li;Maoyi Huang

  • A Modeling Study of Irrigation Effects on Surface Fluxes and Land–Air–Cloud Interactions in the Southern Great Plains

    Yun Qian;Maoyi Huang;Ben Yang;Larry K. Berg

  • Global land use for 2015–2100 at 0.05° resolution under diverse socioeconomic and climate scenarios

    Min Chen;Chris R. Vernon;Neal T. Graham;Mohamad Hejazi

  • 21st century United States emissions mitigation could increase water stress more than the climate change it is mitigating

    Mohamad I. Hejazi;Nathalie Voisin;Lu Liu;Lisa M. Bramer

  • Assessment of simulated water balance from Noah, Noah‐MP, CLM, and VIC over CONUS using the NLDAS test bed

    Xitian Cai;Zong-Liang Yang;Youlong Xia;Maoyi Huang

  • Investigating the Nexus of Climate, Energy, Water, and Land at Decision-Relevant Scales: The Platform for Regional Integrated Modeling and Analysis (PRIMA)

    Ian Kraucunas;Leon Clarke;James Dirks;John Hathaway

  • The critical role of the routing scheme in simulating peak river discharge in global hydrological models

    Fang Zhao;Ted I. E. Veldkamp;Katja Frieler;Jacob Schewe

  • On an improved sub-regional water resources management representation for integration into earth system models

    Nathalie Voisin;Hongyi Li;Duane L. Ward;Maoyi Huang

  • Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado Island, Panama

    Charles D. Koven;Ryan G. Knox;Rosie A. Fisher;Jeffrey Q. Chambers;Jeffrey Q. Chambers

  • Crop yield response to climate change varies with crop spatial distribution pattern.

    Guoyong Leng;Maoyi Huang

  • Disentangling climatic and anthropogenic controls on global terrestrial evapotranspiration trends

    Jiafu Mao;Wenting Fu;Xiaoying Shi;Daniel M. Ricciuto

  • Modeling the Effects of Groundwater-Fed Irrigation on Terrestrial Hydrology over the Conterminous United States

    Guoyong Leng;Maoyi Huang;Qiuhong Tang;Huilin Gao

  • Sensitivity of surface flux simulations to hydrologic parameters based on an uncertainty quantification framework applied to the Community Land Model

    Zhangshuan Hou;Maoyi Huang;L. Ruby Leung;Guang Lin

  • Disentangling climatic and anthropogenic controls on global terrestrial evapotranspiration trends

    J. Mao;W. Fu;X. Shi;D. M. Ricciuto

Frequent Co-Authors

Lai-yung Ruby Leung
Lai-yung Ruby Leung Pacific Northwest National Laboratory
Guoyong Leng
Guoyong Leng Chinese Academy of Sciences
Christopher R. Schwalm
Christopher R. Schwalm Woodwell Climate Research Center
Yun Qian
Yun Qian Pacific Northwest National Laboratory
Atul K. Jain
Atul K. Jain University of Illinois at Urbana-Champaign
Hongyi Li
Hongyi Li University of Houston
Anna M. Michalak
Anna M. Michalak Stanford University
Xiaoying Shi
Xiaoying Shi Oak Ridge National Laboratory
Deborah N. Huntzinger
Deborah N. Huntzinger Northern Arizona University
Daniel J. Hayes
Daniel J. Hayes University of Maine

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