| Sustainable bioenergy production from marginal lands in the US Midwest I Gelfand, R Sahajpal, X Zhang, RC Izaurralde, KL Gross, GP Robertson Nature, 2013 | 809 | 2013 |
| 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 | 481 | 2010 |
| 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 | 319 | 2015 |
| 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 | 316 | 2017 |
| 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 | 286 | 2019 |
| 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 | 262 | 2009 |
| 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 | 231 | 2007 |
| 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 | 223 | 2009 |
| 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 | 208 | 2008 |
| 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 | 188 | 2008 |
| 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 | 163 | 2010 |
| 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 | 154 | 2009 |
| 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 | 153 | 2009 |
| 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 | 149 | 2013 |
| 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 | 143 | 2010 |
| 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 | 135 | 2011 |
| 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 | 127 | 2021 |
| 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 | 124 | 2012 |
| 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 | 107 | 2010 |
| 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 | 104 | 2013 |
Roberto Cesar IzaurraldeProfessor, Department of Geographical Sciences, University of MarylandVerified email at umd.edu
