21 citations as recorded by crossref.

1. Applying neural network Poisson regression to predict cognitive score changes N. Fallah et al. https://doi.org/10.1080/02664763.2010.545112
2. Origins and Levels of Seasonal Forecast Skill for Sea Ice in Hudson Bay Using Canonical Correlation Analysis A. Tivy et al. https://doi.org/10.1175/2010JCLI3527.1
3. Model Tuning with Canonical Correlation Analysis C. Marzban et al. https://doi.org/10.1175/MWR-D-13-00245.1
4. Comparing observations and process‐based simulations of biosphere‐atmosphere exchanges on multiple timescales M. Mahecha et al. https://doi.org/10.1029/2009JG001016
5. Investigating Nonlinear Dependence between Climate Fields M. Fischer https://doi.org/10.1175/JCLI-D-16-0563.1
6. Forecasts of Tropical Pacific Sea Surface Temperatures by Neural Networks and Support Vector Regression S. Aguilar-Martinez & W. Hsieh https://doi.org/10.1155/2009/167239
7. Large correlation analysis X. Chen et al. https://doi.org/10.1016/j.amc.2011.03.117
8. Investigation of the differences between factors affecting vandalism in urban green areas T. Yilmaz & R. Olgun https://doi.org/10.1177/1420326X15573275
9. An Approach to Canonical Correlation Analysis Based on Rényi’s Pseudodistances M. Jaenada et al. https://doi.org/10.3390/e25050713
10. Watershed-Based Evaluation of Automatic Sensor Data: Water Quality and Hydroclimatic Relationships J. Cantoni et al. https://doi.org/10.3390/su12010396
11. Nonlinear estimation of El Niño impact on the North Atlantic winter M. OrtizBeviá et al. https://doi.org/10.1029/2009JD013387
12. Robust multivariate association and dimension reduction using density divergences R. Iaci & T. Sriram https://doi.org/10.1016/j.jmva.2013.03.004
13. Negative ridge regression parameters for improving the covariance structure of multivariate linear downscaling models A. Cannon https://doi.org/10.1002/joc.1737
14. Estimation of rainfall intensity–duration–frequency curves at ungauged locations using quantile regression methods D. Ouali & A. Cannon https://doi.org/10.1007/s00477-018-1564-7
15. Application of Entropy Ensemble Filter in Neural Network Forecasts of Tropical Pacific Sea Surface Temperatures H. Foroozand et al. https://doi.org/10.3390/e20030207
16. Solving the SSVEP Paradigm Using the Nonlinear Canonical Correlation Analysis Approach D. De la Cruz-Guevara et al. https://doi.org/10.3390/s21165308
17. Reconstruction of regional mean sea level anomalies from tide gauges using neural networks M. Wenzel & J. Schröter https://doi.org/10.1029/2009JC005630
18. Seasonal prediction of winter extreme precipitation over Canada by support vector regression Z. Zeng et al. https://doi.org/10.5194/hess-15-65-2011
19. A comparative study for robust canonical correlation methods A. Alkenani & K. Yu https://doi.org/10.1080/00949655.2011.632775
20. Dimensionality reduction for regional flood frequency analysis: Linear versus nonlinear methods K. Haddad & A. Rahman https://doi.org/10.1002/hyp.14864
21. A robust method for canonical correlation analysis S. T. A https://doi.org/10.1080/03610918.2024.2418449