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Xuesong Zhang
Xuesong Zhang
ARS-HRSL
Verified email at usda.gov
Title
Cited by
Cited by
Year
Sustainable bioenergy production from marginal lands in the US Midwest
I Gelfand, R Sahajpal, X Zhang, RC Izaurralde, KL Gross, GP Robertson
Nature, 2013
8172013
SWAT ungauged: hydrological budget and crop yield predictions in the Upper Mississippi River Basin
R Srinivasan, X Zhang, J Arnold
Transactions of the ASABE 53 (5), 1533-1546, 2010
4882010
A global map of urban extent from nightlights
Y Zhou, SJ Smith, K Zhao, M Imhoff, A Thomson, B Bond-Lamberty, ...
Environmental Research Letters 10 (5), 054011, 2015
3242015
Modeling urban building energy use: A review of modeling approaches and procedures
W Li, Y Zhou, K Cetin, J Eom, Y Wang, G Chen, X Zhang
Energy 141, 2445-2457, 2017
3232017
Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm
K Zhao, MA Wulder, T Hu, R Bright, Q Wu, H Qin, Y Li, E Toman, B Mallick, ...
Remote sensing of Environment 232, 111181, 2019
3072019
Calibration and uncertainty analysis of the SWAT model using Genetic Algorithms and Bayesian Model Averaging
X Zhang, R Srinivasan, D Bosch
Journal of Hydrology 374 (3-4), 307-317, 2009
2652009
Predicting hydrologic response to climate change in the Luohe River basin using the SWAT model
X Zhang, R Srinivasan, F Hao
Transactions of the ASABE 50 (3), 901-910, 2007
2352007
Evaluation of global optimization algorithms for parameter calibration of a computationally intensive hydrologic model
X Zhang, R Srinivasan, K Zhao, MV Liew
Hydrological Processes: An International Journal 23 (3), 430-441, 2009
2272009
Multi-site calibration of the SWAT model for hydrologic modeling
X Zhang, R Srinivasan, M Van Liew
Transactions of the ASABE 51 (6), 2039-2049, 2008
2092008
Runoff Simulation of the Headwaters of the Yellow River Using The SWAT Model With Three Snowmelt Algorithms1
X Zhang, R Srinivasan, B Debele, F Hao
JAWRA Journal of the American Water Resources Association 44 (1), 48-61, 2008
1892008
On the use of multi‐algorithm, genetically adaptive multi‐objective method for multi‐site calibration of the SWAT model
X Zhang, R Srinivasan, MV Liew
Hydrological Processes: An International Journal 24 (8), 955-969, 2010
1642010
Approximating SWAT Model Using Artificial Neural Network and Support Vector Machine1
X Zhang, R Srinivasan, M Van Liew
JAWRA Journal of the American Water Resources Association 45 (2), 460-474, 2009
1552009
GIS‐Based Spatial Precipitation Estimation: A Comparison of Geostatistical Approaches1
X Zhang, R Srinivasan
JAWRA Journal of the American Water Resources Association 45 (4), 894-906, 2009
1532009
Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection
K Zhao, D Valle, S Popescu, X Zhang, B Mallick
Remote Sensing of Environment 132, 102-119, 2013
1512013
A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018
Q Wang, J Zeng, J Qi, X Zhang, Y Zeng, W Shui, Z Xu, R Zhang, X Wu, ...
Earth System Science Data 13 (2), 331-341, 2021
1442021
An integrative modeling framework to evaluate the productivity and sustainability of biofuel crop production systems
X Zhang, RC Izaurralde, D Manowitz, TO West, WM Post, AM Thomson, ...
Gcb Bioenergy 2 (5), 258-277, 2010
1442010
Evaluating the SWAT model for hydrological modeling in the Xixian watershed and a comparison with the XAJ model
P Shi, C Chen, R Srinivasan, X Zhang, T Cai, X Fang, S Qu, X Chen, Q Li
Water resources management 25, 2595-2612, 2011
1362011
Bioenergy crop models: descriptions, data requirements, and future challenges
S Surendran Nair, S Kang, X Zhang, FE Miguez, RC Izaurralde, WM Post, ...
GCB Bioenergy, 2012
1272012
Using NEXRAD and rain gauge precipitation data for hydrologic calibration of SWAT in a northeastern watershed
AM Sexton, AM Sadeghi, X Zhang, R Srinivasan, A Shirmohammadi
Transactions of the ASABE 53 (5), 1501-1510, 2010
1082010
Efficient multi-objective calibration of a computationally intensive hydrologic model with parallel computing software in Python
X Zhang, P Beeson, R Link, D Manowitz, RC Izaurralde, A Sadeghi, ...
Environmental modelling & software 46, 208-218, 2013
1072013
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