Independent Component Analysis A Hyvärinen, J Karhunen, E Oja John Wiley & Sons, inc., 2001 | 31135* | 2001 |

A fast fixed-point algorithm for independent component analysis A Hyvärinen, E Oja Neural computation 9 (7), 1483-1492, 1997 | 4408 | 1997 |

Simplified neuron model as a principal component analyzer E Oja Journal of mathematical biology 15 (3), 267-273, 1982 | 2925 | 1982 |

Survey on independent component analysis A Hyvärinen | 1864 | 1999 |

A new curve detection method: randomized Hough transform (RHT) L Xu, E Oja, P Kultanen Pattern recognition letters 11 (5), 331-338, 1990 | 1449 | 1990 |

Subspace methods of pattern recognition E Oja John Wiley & Sons, 1983 | 1188 | 1983 |

Neural networks, principal components, and subspaces E Oja International journal of neural systems 1 (01), 61-68, 1989 | 1149 | 1989 |

Principal components, minor components, and linear neural networks E Oja Neural networks 5 (6), 927-935, 1992 | 1083 | 1992 |

Engineering applications of the self-organizing map T Kohonen, E Oja, O Simula, A Visa, J Kangas Proceedings of the IEEE 84 (10), 1358-1384, 1996 | 1082 | 1996 |

Independent component approach to the analysis of EEG and MEG recordings R Vigário, J Sarela, V Jousmiki, M Hamalainen, E Oja IEEE transactions on biomedical engineering 47 (5), 589-593, 2000 | 867 | 2000 |

Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities L Xu, E Oja CVGIP: Image understanding 57 (2), 131-154, 1993 | 835 | 1993 |

Rival penalized competitive learning for clustering analysis, RBF net, and curve detection L Xu, A Krzyzak, E Oja IEEE Transactions on Neural networks 4 (4), 636-649, 1993 | 834 | 1993 |

Topographic independent component analysis A Hyvärinen, PO Hoyer, M Inki Neural computation 13 (7), 1527-1558, 2001 | 749* | 2001 |

On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix E Oja, J Karhunen Journal of mathematical analysis and applications 106 (1), 69-84, 1985 | 669 | 1985 |

Independent component analysis: algorithms and applications A Hyvrinen, E Oja Neural networks 13 (4-5), 411-430, 2000 | 633 | 2000 |

A class of neural networks for independent component analysis J Karhunen, E Oja, L Wang, R Vigario, J Joutsensalo IEEE Transactions on neural networks 8 (3), 486-504, 1997 | 612 | 1997 |

Sparse code shrinkage: Denoising of nongaussian data by maximum likelihood estimation A Hyvärinen Neural computation 11 (7), 1739-1768, 1999 | 529 | 1999 |

Efficient variant of algorithm FastICA for independent component analysis attaining the Cramér-Rao lower bound Z Koldovsky, P Tichavsky, E Oja IEEE Transactions on neural networks 17 (5), 1265-1277, 2006 | 404 | 2006 |

Texture discrimination with multidimensional distributions of signed gray-level differences T Ojala, K Valkealahti, E Oja, M Pietikäinen Pattern Recognition 34 (3), 727-739, 2001 | 339 | 2001 |

Clustering properties of hierarchical self-organizing maps J Lampinen, E Oja Journal of Mathematical Imaging and vision 2 (2), 261-272, 1992 | 331 | 1992 |