William W. Hsieh

Overview

Best Publications

• Applying Neural Network Models to Prediction and Data Analysis in Meteorology and Oceanography

  William W. Hsieh;Benyang Tang

  575
  Citations

• Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

  William W. Hsieh

  369
  Citations

• Daily streamflow forecasting by machine learning methods with weather and climate inputs

  Kabir Rasouli;William W. Hsieh;Alex J. Cannon

  316
  Citations

• Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods

  Michael D. Johnson;William W. Hsieh;Alex J. Cannon;Andrew Davidson

  295
  Citations

• Nonlinear principal component analysis by neural networks

  William W. Hsieh

  206
  Citations

• Machine Learning Methods in the Environmental Sciences: Contents

  Unknown

  195
  Citations

• Nonlinear multivariate and time series analysis by neural network methods

  William W. Hsieh

  191
  Citations

• Nonlinear canonical correlation analysis by neural networks

  W. W. Hsieh

  183
  Citations

• Forecasting ENSO Events: A Neural Network–Extended EOF Approach.

  Fredolin T. Tangang;Benyang Tang;Adam H. Monahan;William W. Hsieh

  156
  Citations

• 2006 Special issue: Neural network forecasts of the tropical Pacific sea surface temperatures

  Aiming Wu;William W. Hsieh;Benyang Tang

  147
  Citations

• Forecasting the equatorial Pacific sea surface temperatures by neural network models

  F. T. Tangang;W. W. Hsieh;B. Tang

  136
  Citations

• The Free Kelvin Wave in Finite-Difference Numerical Models

  William W. Hsieh;Michael K. Davey;Roxana C. Wajsowicz

  128
  Citations

• Forecasting daily streamflow using online sequential extreme learning machines

  Aranildo R. Lima;Alex J. Cannon;William W. Hsieh

  123
  Citations

• Nonlinear Canonical Correlation Analysis of the Tropical Pacific Climate Variability Using a Neural Network Approach

  William W. Hsieh

  122
  Citations

• Nonlinear regression in environmental sciences using extreme learning machines

  Aranildo R. Lima;Alex J. Cannon;William W. Hsieh

  113
  Citations

• Skill Comparisons between Neural Networks and Canonical Correlation Analysis in Predicting the Equatorial Pacific Sea Surface Temperatures

  Benyang Tang;William W. Hsieh;Adam H. Monahan;Fredolin T. Tangang

  108
  Citations

• Maize yield forecasting by linear regression and artificial neural networks in Jilin, China

  K. Matsumura;C. F. Gaitan;K. Sugimoto;A. J. Cannon

  92
  Citations

• Interactive Feedback between the Tropical Pacific Decadal Oscillation and ENSO in a Coupled General Circulation Model

  Jung Choi;Soon Il An;Boris Dewitte;William W. Hsieh

  77
  Citations

• Global climate change and ocean upwelling

  William W. Hsieh;George J. Boer

  77
  Citations

• The Nonlinear Patterns of North American Winter Temperature and Precipitation Associated with ENSO

  Aiming Wu;William W. Hsieh;Amir Shabbar

  76
  Citations

• Forecasting regional sea surface temperatures in the tropical Pacific by neural network models, with wind stress and sea level pressure as predictors

  Fredolin T. Tangang;William W. Hsieh;Benyang Tang

  71
  Citations