World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
52
Citations
9099
World Ranking
4522
National Ranking
1682

Xuesong Zhang 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 Xuesong Zhang 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: 142 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Xuesong Zhang 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 Xuesong Zhang 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: 52 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Overview

Xuesong Zhang is affiliated with the Agricultural Research Service in the United States. Their research primarily focuses on environmental science, with contributions spanning several interconnected subfields including global and planetary change, water science and technology, environmental engineering, environmental chemistry, and ecology.

The scientist's work covers multiple main topics that include hydrology and watershed management studies, soil and water nutrient dynamics, plant water relations and carbon dynamics, land use and ecosystem services, environmental impact and sustainability, climate variability and models, and flood risk assessment and management.

Xuesong Zhang has coauthored publications frequently with several researchers, indicating collaborative work in diverse areas. The most common coauthors are Junyu Qi, Gregory W. McCarty, Glenn E. Moglen, Hongjie Peng, and Yuyu Zhou.

They have published in various scientific journals with repeated contributions in key venues such as the Journal of Hydrology, The Science of The Total Environment, Environmental Modelling & Software, Environmental Research Letters, and Environmental Science & Technology.

Significant recent publications by Xuesong Zhang include:

  • "Urban land use change simulation and spatial responses of ecosystem service value under multiple scenarios: A case study of Wuhan, China" (2022) in Ecological Indicators
  • "A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018" (2021) in Earth System Science Data
  • "The spatial spillover effect and nonlinear relationship analysis between land resource misallocation and environmental pollution: Evidence from China" (2022) in Journal of Environmental Management
  • "Understanding climate change impacts on drought in China over the 21st century: a multi-model assessment from CMIP6" (2024) in npj Climate and Atmospheric Science
  • "Freeze-Thaw cycle representation alters response of watershed hydrology to future climate change" (2020) in CATENA

Best Publications

  • Sustainable bioenergy production from marginal lands in the US Midwest.

    Ilya Gelfand;Ilya Gelfand;Ritvik Sahajpal;Ritvik Sahajpal;Ritvik Sahajpal;Xuesong Zhang;Xuesong Zhang;R. César Izaurralde;R. César Izaurralde;R. César Izaurralde

  • SWAT Ungauged: Hydrological Budget and Crop Yield Predictions in the Upper Mississippi River Basin

    R. Srinivasan;X. Zhang;J. Arnold

  • Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm

    Kaiguang Zhao;Kaiguang Zhao;Michael A. Wulder;Tongxi Hu;Ryan Bright

  • A global map of urban extent from nightlights

    Yuyu Zhou;Steven J. Smith;Kaiguang Zhao;Marc L. Imhoff

  • Modeling urban building energy use: A review of modeling approaches and procedures

    Wenliang Li;Yuyu Zhou;Kristen Cetin;Jiyong Eom

  • Calibration and uncertainty analysis of the SWAT model using Genetic Algorithms and Bayesian Model Averaging

    Xuesong Zhang;Raghavan Srinivasan;David Bosch

  • Predicting hydrologic response to climate change in the Luohe River Basin using the SWAT model

    X. Zhang;R. Srinivasan;F. Hao

  • A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018

    Qianfeng Wang;Qianfeng Wang;Jingyu Zeng;Junyu Qi;Xuesong Zhang;Xuesong Zhang

  • Evaluation of global optimization algorithms for parameter calibration of a computationally intensive hydrologic model

    Xuesong Zhang;Raghavan Srinivasan;Kaiguang Zhao;Mike Van Liew

  • Multi-Site Calibration of the SWAT Model for Hydrologic Modeling

    X. Zhang;R. Srinivasan;M. Van Liew

  • Runoff Simulation of the Headwaters of the Yellow River Using The SWAT Model With Three Snowmelt Algorithms1

    Xuesong Zhang;Raghavan Srinivasan;Bekele Debele;Fanghua Hao

  • On the use of multi-algorithm, genetically adaptive multi-objective method for multi-site calibration of the SWAT model

    Xuesong Zhang;Raghavan Srinivasan;Michael Van Liew

  • Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection

    Kaiguang Zhao;Denis Valle;Sorin Popescu;Xuesong Zhang

  • Approximating SWAT model using Artificial Neural Network and support vector machine.

    Xuesong Zhang;Raghavan Srinivasan;Michael Van Liew

  • An integrative modeling framework to evaluate the productivity and sustainability of biofuel crop production systems

    Xuesong Zhang;Roberto C. Izaurralde;David H. Manowitz;T. O. West

  • Evaluating the SWAT Model for Hydrological Modeling in the Xixian Watershed and a Comparison with the XAJ Model

    Peng Shi;Peng Shi;Chao Chen;Ragahavan Srinivasan;Xuesong Zhang

  • GIS-based spatial precipitation estimation: a comparison of geostatistical approaches.

    Xuesong Zhang;Raghavan Srinivasan

  • Bioenergy crop models: descriptions, data requirements, and future challenges

    Sujithkumar Surendran Nair;Shujiang Kang;Xuesong Zhang;Fernando E. Miguez

  • Terrestrial lidar remote sensing of forests: Maximum likelihood estimates of canopy profile, leaf area index, and leaf angle distribution

    Kaiguang Zhao;Mariano García;Shu Liu;Qinghua Guo

  • Using NEXRAD and rain gauge precipitation data for hydrologic calibration of SWAT in a Northeastern watershed.

    A. M. Sexton;A. M. Sadeghi;X. Zhang;R. Srinivasan

  • Efficient multi-objective calibration of a computationally intensive hydrologic model with parallel computing software in Python

    Xuesong Zhang;Peter Beeson;Robert Link;David Manowitz

Frequent Co-Authors

R. Cesar Izaurralde
R. Cesar Izaurralde University of Maryland, College Park
Roberto C. Izaurralde
Roberto C. Izaurralde University of Maryland, College Park
Raghavan Srinivasan
Raghavan Srinivasan Texas A&M University
Kaiguang Zhao
Kaiguang Zhao The Ohio State University
Maoyi Huang
Maoyi Huang Pacific Northwest National Laboratory
Allison M. Thomson
Allison M. Thomson University of Maryland, College Park
Guoyong Leng
Guoyong Leng Chinese Academy of Sciences
Gregory W. McCarty
Gregory W. McCarty Agricultural Research Service
Yuyu Zhou
Yuyu Zhou Iowa State University
Bruce E. Dale
Bruce E. Dale Michigan State University

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Related Online Degrees & Career Pathways

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Finally, students looking for a broad, interdisciplinary approach might consider a budget friendly online general studies degree. This option allows for customizable learning paths that can integrate environmental themes with other areas of interest.

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