21 citations as recorded by crossref.

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