| Applying neural network models to prediction and data analysis in meteorology and oceanography WW Hsieh, B Tang Bulletin of the American Meteorological Society 79 (9), 1855-1870, 1998 | 576 | 1998 |
| Machine learning methods in the environmental sciences: Neural networks and kernels WW Hsieh Cambridge university press, 2009 | 442 | 2009 |
| Crop yield forecasting on the Canadian Prairies by remotely sensed vegetation indices and machine learning methods MD Johnson, WW Hsieh, AJ Cannon, A Davidson, F Bédard Agricultural and forest meteorology 218, 74-84, 2016 | 291 | 2016 |
| Daily streamflow forecasting by machine learning methods with weather and climate inputs K Rasouli, WW Hsieh, AJ Cannon Journal of Hydrology 414, 284-293, 2012 | 272 | 2012 |
| Nonlinear principal component analysis by neural networks WW Hsieh Tellus A 53 (5), 599-615, 2001 | 215 | 2001 |
| Nonlinear canonical correlation analysis by neural networks WW Hsieh Neural Networks 13 (10), 1095-1105, 2000 | 187 | 2000 |
| Nonlinear multivariate and time series analysis by neural network methods WW Hsieh Reviews of Geophysics 42 (1), 2004 | 182 | 2004 |
| Forecasting ENSO events: A neural network–extended EOF approach FT Tangang, B Tang, AH Monahan, WW Hsieh Journal of Climate 11 (1), 29-41, 1998 | 156 | 1998 |
| Forecasting the equatorial Pacific sea surface temperatures by neural network models FT Tangang, WW Hsieh, B Tang Climate Dynamics 13, 135-147, 1997 | 140 | 1997 |
| Neural network forecasts of the tropical Pacific sea surface temperatures A Wu, WW Hsieh, B Tang Neural networks 19 (2), 145-154, 2006 | 138 | 2006 |
| The free Kelvin wave in finite-difference numerical models WW Hsieh, MK Davey, RC Wajsowicz Journal of Physical Oceanography 13 (8), 1383-1397, 1983 | 129 | 1983 |
| Nonlinear canonical correlation analysis of the tropical Pacific climate variability using a neural network approach WW Hsieh Journal of Climate 14 (12), 2528-2539, 2001 | 123 | 2001 |
| Skill comparisons between neural networks and canonical correlation analysis in predicting the equatorial Pacific sea surface temperatures B Tang, WW Hsieh, AH Monahan, FT Tangang Journal of Climate 13 (1), 287-293, 2000 | 109 | 2000 |
| Forecasting daily streamflow using online sequential extreme learning machines AR Lima, AJ Cannon, WW Hsieh Journal of hydrology 537, 431-443, 2016 | 108 | 2016 |
| Maize yield forecasting by linear regression and artificial neural networks in Jilin, China K Matsumura, CF Gaitan, K Sugimoto, AJ Cannon, WW Hsieh The Journal of Agricultural Science 153 (3), 399-410, 2015 | 98 | 2015 |
| Nonlinear regression in environmental sciences using extreme learning machines: a comparative evaluation AR Lima, AJ Cannon, WW Hsieh Environmental Modelling & Software 73, 175-188, 2015 | 84 | 2015 |
| Interactive feedback between the tropical Pacific decadal oscillation and ENSO in a coupled general circulation model J Choi, SI An, B Dewitte, WW Hsieh Journal of Climate 22 (24), 6597-6611, 2009 | 76 | 2009 |
| Global climate change and ocean upwelling WW Hsieh, GJ Boer Fisheries Oceanography 1 (4), 333-338, 1992 | 76 | 1992 |
| The nonlinear patterns of North American winter temperature and precipitation associated with ENSO A Wu, WW Hsieh, A Shabbar Journal of Climate 18 (11), 1736-1752, 2005 | 72 | 2005 |
| Forecasting regional sea surface temperatures in the tropical Pacific by neural network models, with wind stress and sea level pressure as predictors FT Tangang, WW Hsieh, B Tang Journal of Geophysical Research: Oceans 103 (C4), 7511-7522, 1998 | 72 | 1998 |
