73 citations as recorded by crossref.

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51. Multi-Objective Sensitivity Analysis of a Fully Distributed Hydrologic Model WetSpa J. Yang et al. https://doi.org/10.1007/s11269-011-9908-9
52. Comparison of the Calibrated Objective Functions for Low Flow Simulation in a Semi-Arid Catchment X. Yang et al. https://doi.org/10.3390/w14172591
53. A method of optimization for the distorted model of star map based on improved genetic algorithm Q. Wei et al. https://doi.org/10.1016/j.ast.2010.06.004
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55. Comparing multi-objective optimization techniques to calibrate a conceptual hydrological model using in situ runoff and daily GRACE data A. Mostafaie et al. https://doi.org/10.1007/s10596-018-9726-8
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57. Improving flood forecasting capability of physically based distributed hydrological models by parameter optimization Y. Chen et al. https://doi.org/10.5194/hess-20-375-2016
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60. Multi-objective calibration of the physically based, spatially distributed SHETRAN hydrological model R. Zhang et al. https://doi.org/10.2166/hydro.2015.219
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69. Identifying Key Hydrological Processes in Highly Urbanized Watersheds for Flood Forecasting with a Distributed Hydrological Model H. Wang & Y. Chen https://doi.org/10.3390/w11081641
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71. Exploring the multiscale hydrologic regulation of multipond systems in a humid agricultural catchment W. Chen et al. https://doi.org/10.1016/j.watres.2020.115987
72. Modeling the spatiotemporal variability in subsurface thermal regimes across a low-relief polygonal tundra landscape J. Kumar et al. https://doi.org/10.5194/tc-10-2241-2016
73. New objective functions for streamflow calibrations to specific model applications H. Il Choi https://doi.org/10.1016/j.jhydrol.2024.132109