World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
34
Citations
14588
World Ranking
9378
National Ranking
3360

Xu Liang 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 Xu Liang 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 95 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Xu Liang 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 Xu Liang 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 34 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

Xu Liang is affiliated with the University of Pittsburgh in the United States. Their research primarily spans the field of Environmental Science, focusing notably on Water Science and Technology, Global and Planetary Change, Information Systems and Management, Environmental Engineering, and Computer Networks and Communications.

Their work frequently addresses topics related to Hydrology and Watershed Management Studies, Scientific Computing and Data Management, Distributed and Parallel Computing Systems, Environmental Monitoring and Data Management, Soil Moisture and Remote Sensing, Climate Variability and Models, and Groundwater Flow and Contamination Studies.

Xu Liang has contributed to several publications, with notable papers including:

  • An open-data open-model framework for hydrological models' integration, evaluation and application (2020) published in Environmental Modelling & Software
  • A Calibration Framework for High-Resolution Hydrological Models Using a Multiresolution and Heterogeneous Strategy (2020) in Water Resources Research
  • Feasibility of Harvesting Solar Energy for Self-Powered Environmental Wireless Sensor Nodes (2020) in Electronics
  • Roles of Hydrology and Transport Processes in Denitrification at Watershed Scale (2024) in Water Resources Research
  • Coupled models of water and carbon cycles from leaf to global: A retrospective and a prospective (2024) in Agricultural and Forest Meteorology

Xu Liang's frequent co-authors include:

  • Yao Liang
  • Daniel Luna
  • Ranran Chen
  • Felipe Hernández
  • Ryan M. Young

Their work has appeared predominantly in Environmental Modelling & Software and Water Resources Research, with additional publications in arXiv (Cornell University), Electronics, and Agricultural and Forest Meteorology.

Best Publications

  • A simple hydrologically based model of land surface water and energy fluxes for general circulation models

    Xu Liang;Dennis P. Lettenmaier;Eric F. Wood;Stephen J. Burges

  • IAHS Decade on Predictions in Ungauged Basins (PUB), 2003–2012: Shaping an exciting future for the hydrological sciences

    M. Sivapalan;K. Takeuchi;S. W. Franks;V. K. Gupta

  • Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification

    Xu Liang;Eric F. Wood;Dennis P. Lettenmaier

  • 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

  • Streamflow simulation for continental-scale river basins

    Bart Nijssen;Dennis P. Lettenmaier;Xu Liang;Suzanne W. Wetzel;Suzanne W. Wetzel

  • One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer variable infiltration capacity model

    Xu Liang;Dennis P. Lettenmaier;Eric F. Wood

  • The Effect of Soil Thermal Conductivity Parameterization on Surface Energy Fluxes and Temperatures

    C. D. Peters-Lidard;E. Blackburn;X. Liang;E. F. Wood

  • Cabauw Experimental Results from the Project for Intercomparison of Land-Surface Parameterization Schemes

    T.H. Chen;A. Henderson-Sellers;P.C.D. Milly;A.J. Pitman

  • A new surface runoff parameterization with subgrid-scale soil heterogeneity for land surface models

    Xu Liang;Zhenghui Xie

  • 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

  • The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) Phase 2(c) Red–Arkansas River basin experiment:: 1. Experiment description and summary intercomparisons

    Eric F. Wood;Dennis P. Lettenmaier;Xu Liang;Dag Lohmann

  • The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) phase 2(c) Red–Arkansas River basin experiment:: 3. Spatial and temporal analysis of water fluxes

    Dag Lohmann;Dennis P. Lettenmaier;Xu Liang;Eric F. Wood

  • Hydrological modeling of continental-scale basins

    Eric F. Wood;Dennis Lettenmaier;Xu Liang;Bart Nijssen

  • Reliable, robust and realistic: the three R's of next-generation land-surface modelling

    I. C. Prentice;I. C. Prentice;X. Liang;B. E. Medlyn;B. E. Medlyn;Y.-P. Wang

  • Modeling ground heat flux in land surface parameterization schemes

    Xu Liang;Eric F. Wood;Dennis P. Lettenmaier

  • The Project for Intercomparison of Land-surface Parameterization Schemes PILPS Phase 2 c Red–Arkansas River basin experiment: 1. Experiment description and summary intercomparisons

    Unknown

  • Key results and implications from phase 1(c) of the Project for Intercomparison of Land-surface Parametrization Schemes

    A. J. Pitman;A. Henderson-Sellers;C. E. Desborough;Z.-L. Yang

  • Assessment of the effects of spatial resolutions on daily water flux simulations

    Xu Liang;Jianzhong Guo;L.Ruby Leung

  • Important factors in land-atmosphere interactions: surface runoff generations and interactions between surface and groundwater

    Xu Liang;Zhenghui Xie;Zhenghui Xie

  • On the assessment of the impact of reducing parameters and identification of parameter uncertainties for a hydrologic model with applications to ungauged basins

    Maoyi Huang;Xu Liang

  • The distributed model intercomparison project (DMIP)

    Michael B Smith;Konstantine P Georgakakos;Xu Liang

Frequent Co-Authors

Eric F. Wood
Eric F. Wood Princeton University
Dennis P. Lettenmaier
Dennis P. Lettenmaier University of California, Los Angeles
Maoyi Huang
Maoyi Huang Pacific Northwest National Laboratory
Lai-yung Ruby Leung
Lai-yung Ruby Leung Pacific Northwest National Laboratory
Yongkang Xue
Yongkang Xue University of California, Los Angeles
Zong-Liang Yang
Zong-Liang Yang The University of Texas at Austin
Robert E. Dickinson
Robert E. Dickinson The University of Texas at Austin
Yaping Shao
Yaping Shao University of Cologne
Yongjiu Dai
Yongjiu Dai Sun Yat-sen University
Florence Habets
Florence Habets École Normale Supérieure

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