144 citations as recorded by crossref.

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2. Spatiotemporal evolution and driving forces of landscape structure and habitat quality in river corridors with ceased flow: A case study of the Yongding River corridor in Beijing, China X. Du et al. 10.1016/j.jenvman.2024.123861
3. PREPRINT Machine Learning for the Sensitivity Analysis of a Model of the Cellular Uptake of Nanoparticles for the Treatment of Cancer S. Iaquinta et al. 10.1002/cnm.3878
4. Comprehensive sensitivity analysis and process risk assessment of large scale pharmaceutical crystallization processes M. Öner et al. 10.1016/j.compchemeng.2020.106746
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17. Estimation of water provision service for monsoon catchments of South China: Applicability of the InVEST model D. Yang et al. 10.1016/j.landurbplan.2018.10.011
18. Sensitivity analysis of machining accuracy of multi-axis machine tool based on POE screw theory and Morris method Q. Cheng et al. 10.1007/s00170-015-7791-x
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21. Sensitivity Analysis for Modeling of Cr(VI) Transfer From Soil to Surface Runoff X. Wu et al. 10.3389/fenvs.2022.917103
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27. Evaluation of the ecological sensitivity and security of tidal flats in Shanghai Y. Shi et al. 10.1016/j.ecolind.2017.11.033
28. Investigating the potential of Morris algorithm for improving the computational constraints of global sensitivity analysis S. Nabi et al. 10.1007/s11356-021-14994-0
29. Geospatial understanding of climate parameters within watershed boundaries of India F. Ahmad & L. Goparaju 10.1007/s41324-020-00323-z
30. Uncertainty Decomposition to Understand the Influence of Water Systems Model Error in Climate Vulnerability Assessments S. Steinschneider et al. 10.1029/2022WR032349
31. Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method Y. Fan et al. 10.1016/j.envsoft.2016.09.012
32. Combining the Morris method and multiple error metrics to assess aquifer characteristics and recharge in the lower Ticino Basin, in Italy E. Baker et al. 10.1016/j.jhydrol.2022.128536
33. The temporal variations in runoff-generation parameters of the Xinanjiang model due to human activities: A case study in the upper Yangtze River Basin, China X. Zhang et al. 10.1016/j.ejrh.2021.100910
34. Parameter Sensitivity Analysis for Computationally Intensive Spatially Distributed Dynamical Environmental Systems Models X. Huo et al. 10.1029/2018MS001573
35. Index System of Water Resources Development and Utilization Level Based on Water-Saving Society C. Dai et al. 10.3390/w14050802
36. Modelling and control of magnetorheological hydro-pneumatic suspension system based on multibody system transfer matrix method M. Jiang et al. 10.1080/00423114.2025.2488952
37. Sensitivity analysis of simulated Lycium barbarum L. yield in the WOFOST model under different climate conditions Z. Wang et al. 10.1016/j.ecolmodel.2023.110602
38. Identifying Dominant Processes in Time and Space: Time‐Varying Spatial Sensitivity Analysis for a Grid‐Based Nitrate Model S. Wu et al. 10.1029/2021WR031149
39. Parameter space exploration for the probabilistic damage stability method for dry cargo ships B. Milatz et al. 10.1016/j.ijnaoe.2023.100549
40. Inversion of hydrogeological parameters based on an adaptive dynamic surrogate model Y. Liu et al. 10.1007/s10040-022-02493-6
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45. Site-specific herbicide spraying can control weeds as well as full spraying in the long-term. A simulation study T. Maillot et al. 10.1016/j.compag.2023.108338
46. A Deep Neural Network Approach to Predict Overlay Thickness of Asphalt Pavements Using Deflection Parameters and Estimated Traffic A. Haridas et al. 10.1061/JPEODX.0000388
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48. Modelling the performance of an integrated fixed-film activated sludge (IFAS) system: a systematic approach to automated calibration D. Pryce et al. 10.1038/s41598-022-13779-w
49. Global sensitivity analysis of a three-dimensional nutrients-algae dynamic model for a large shallow lake X. Yi et al. 10.1016/j.ecolmodel.2016.01.005
50. Prediction of atmospheric pollutants in urban environment based on coupled deep learning model and sensitivity analysis S. Wang et al. 10.1016/j.chemosphere.2023.138830
51. Fast assimilation of frequently acquired 4D seismic data for reservoir history matching Z. Yin et al. 10.1016/j.cageo.2019.04.001
52. Guidance on evaluating parametric model uncertainty at decision-relevant scales J. Smith et al. 10.5194/hess-26-2519-2022
53. Sensitivity of hydrologic and geologic parameters on recharge processes in a highly heterogeneous, semi-confined aquifer system S. Maples et al. 10.5194/hess-24-2437-2020
54. Assessment of the suitability of rainfall–runoff models by coupling performance statistics and sensitivity analysis M. Shin & C. Kim 10.2166/nh.2016.129
55. Comprehensive multivariate sensitivity analysis of CFD-DEM simulations: Critical model parameters and their impact on fluidization hydrodynamics A. Bakshi et al. 10.1016/j.powtec.2018.06.049
56. Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates G. Ceriotti et al. 10.1007/s00477-020-01868-z
57. An Agent-Based Model of a Sustainable Forest Operation in a Theoretical Lowland Dipterocarp Forest Modeled after Mount Makiling Forest Reserve, Philippines Z. Arnejo et al. 10.3390/f14020428
58. Calculator to Estimate Annual Infiltration Performance of Roadside Swales M. García-Serrana et al. 10.1061/(ASCE)HE.1943-5584.0001650
59. Sensitivity of seismic response of pile-supported, multi-span viaduct bridges to interaction between soil-foundation and structural parameters M. Chaudhary 10.1007/s41062-023-01145-2
60. ADDI-Spraydrift: A comprehensive model of pesticide spray drift with an assessment in vineyards M. Djouhri et al. 10.1016/j.biosystemseng.2023.05.008
61. Global sensitivity analysis of parameter uncertainty in landscape evolution models C. Skinner et al. 10.5194/gmd-11-4873-2018
62. Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models O. Rakovec et al. 10.1002/2013WR014063
63. Global evaluation and sensitivity analysis of a physically based flow and reactive transport model on a laboratory experiment L. Gatel et al. 10.1016/j.envsoft.2018.12.006
64. Temporal and spatial scaling effects of parameter sensitivity in relation to non-point source pollution simulation L. Chen et al. 10.1016/j.jhydrol.2019.01.045
65. Sub-Watershed Parameter Transplantation Method for Non-Point Source Pollution Estimation in Complex Underlying Surface Environment X. Chen et al. 10.3390/land10121387
66. Insights on geologic and vegetative controls over hydrologic behavior of a large complex basin – Global Sensitivity Analysis of an integrated parallel hydrologic model V. Srivastava et al. 10.1016/j.jhydrol.2014.10.020
67. Sensitivity analysis in a radiological impact assessment of a nuclear power plant discharge. A comparison of the Morris, Spearman and Sobol’ approaches V. Nicoulaud-Gouin et al. 10.1016/j.jenvrad.2021.106770
68. Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications X. Song et al. 10.1016/j.jhydrol.2015.02.013
69. A dual-continuum model (TOUGH2) for characterizing flow and discharge in a mechanically disrupted sandstone overburden D. Bedoya-Gonzalez et al. 10.1007/s10040-022-02507-3
70. High-risk nuclide screening and parameter sensitivity analysis based on numerical simulation and machine learning X. Zhang et al. 10.1016/j.jhazmat.2024.136002
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73. Techniques for Multilevel Design Optimization of Permanent Magnet Motors G. Lei et al. 10.1109/TEC.2015.2444434
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75. Portfolio optimization for seed selection in diverse weather scenarios O. Marko et al. 10.1371/journal.pone.0184198
76. Stable expression and control parameters in the numerical simulation of unsaturated flow Z. Zhang et al. 10.1007/s11709-022-0893-2
77. Global sensitivity study of non-reactive and sorptive solute dispersivity in multiscale heterogeneous sediments W. Ren et al. 10.1016/j.jhydrol.2023.129274
78. Applying a Global Sensitivity Analysis Workflow to Improve the Computational Efficiencies in Physiologically-Based Pharmacokinetic Modeling N. Hsieh et al. 10.3389/fphar.2018.00588
79. Parametric sensitivity analysis as an essential ingredient of spectroscopic ellipsometry data modeling: An application of the Morris screening method D. Likhachev 10.1063/1.5126074
80. Rainstorm Magnitude Likely Regulates Event Water Fraction and Its Transit Time in Mesoscale Mountainous Catchments: Implication for Modelling Parameterization J. Lee et al. 10.3390/w12041169
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82. Anchor-based ontology partitioning and Genetic Programming with Relevance Reasoning for large-scale biomedical ontology matching D. Sun et al. 10.1016/j.eswa.2025.126445
83. Understanding the effects of revegetated shrubs on fluxes of energy, water, and gross primary productivity in a desert steppe ecosystem using the STEMMUS–SCOPE model E. Tang et al. 10.5194/bg-21-893-2024
84. From maps to movies: high-resolution time-varying sensitivity analysis for spatially distributed watershed models J. Herman et al. 10.5194/hess-17-5109-2013
85. A comprehensive approach to conducting multi-criteria sensitivity analysis of computationally expensive multidimensional hydrodynamic-ecology models (MHEs) S. Gebremariam 10.1080/02626667.2025.2497883
86. A user-friendly software package for VIC hydrologic model development S. Wi et al. 10.1016/j.envsoft.2017.09.006
87. PITCH: A model simulating the transfer and retention of pesticides in infiltrating ditches and channel networks for management design purposes C. Dagès et al. 10.1016/j.scitotenv.2023.164602
88. Parameter Sensitivity of the Noah-MP Land Surface Model with Dynamic Vegetation K. Arsenault et al. 10.1175/jhm-d-17-0205.1
89. Many-objective optimization of energy conservation and emission reduction under uncertainty: A case study in China's cement industry C. Doh Dinga & Z. Wen 10.1016/j.energy.2022.124168
90. Quantifying the impacts of land cover change on hydrological responses in the Mahanadi river basin in India S. Naha et al. 10.5194/hess-25-6339-2021
91. Uncertainty of canopy interception modeling in high-altitude Picea crassifolia forests of Semi-arid regions J. Yang et al. 10.1016/j.agrformet.2024.110190
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