Environmental Modelling & Software高引用文章

• Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices

  引用次数：46

• A review of catchment-scale water quality and erosion models and a synthesis of future prospects

  引用次数：35

• A review of artificial neural network models for ambient air pollution prediction

  引用次数：33

• A new synergistic approach for monitoring wetlands using Sentinels-1 and 2 data with object-based machine learning algorithms

  引用次数：31

• Tools and methods in participatory modeling: Selecting the right tool for the job

  引用次数：30

• The Environmental Benefits Mapping and Analysis Program - Community Edition (BenMAP-CE): A tool to estimate the health and economic benefits of reducing air pollution

  引用次数：25

• Improving performance of spatio-temporal machine learning models using forward feature selection and target-oriented validation

  引用次数：25

• Advances in Bayesian network modelling: Integration of modelling technologies

  引用次数：24

• APSIM Next Generation: Overcoming challenges in modernising a farming systems model

  引用次数：24

• A multi-lake comparative analysis of the General Lake Model (GLM): Stress-testing across a global observatory network

  引用次数：24