| Independent Component Analysis A Hyvärinen, J Karhunen, E Oja John Wiley & Sons, inc., 2001 | 40208* | 2001 |
| Simplified neuron model as a principal component analyzer E Oja Journal of mathematical biology 15 (3), 267-273, 1982 | 3633 | 1982 |
| A new curve detection method: randomized Hough transform (RHT) L Xu, E Oja, P Kultanen Pattern recognition letters 11 (5), 331-338, 1990 | 1664 | 1990 |
| Subspace methods of pattern recognition E Oja (No Title), 1983 | 1319 | 1983 |
| 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, 2002 | 1281 | 2002 |
| Neural networks, principal components, and subspaces E Oja International journal of neural systems 1 (01), 61-68, 1989 | 1257 | 1989 |
| Principal components, minor components, and linear neural networks E Oja Neural networks 5 (6), 927-935, 1992 | 1215 | 1992 |
| 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, 2002 | 1062 | 2002 |
| Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities L Xu, E Oja CVGIP: Image understanding 57 (2), 131-154, 1993 | 913 | 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 | 876 | 1993 |
| 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 | 777 | 1985 |
| Independent component analysis A Hyvrinen, J Karhunen, E Oja Wiley, 2004 | 650 | 2004 |
| 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 | 644 | 1997 |
| Sparse code shrinkage: Denoising by nonlinear maximum likelihood estimation A Hyvärinen, P Hoyer, E Oja Advances in Neural Information Processing Systems 11, 1998 | 606 | 1998 |
| 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 | 443 | 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 | 378 | 2001 |
| Probabilistic and non-probabilistic Hough transforms: overview and comparisons H Kälviäinen, P Hirvonen, L Xu, E Oja Image and vision computing 13 (4), 239-252, 1995 | 368 | 1995 |
| Clustering properties of hierarchical self-organizing maps J Lampinen, E Oja Journal of Mathematical Imaging and vision 2 (2), 261-272, 1992 | 361 | 1992 |
| Classification with learning k-nearest neighbors J Laaksonen, E Oja Proceedings of international conference on neural networks (ICNN'96) 3, 1480 …, 1996 | 360 | 1996 |
| The nonlinear PCA learning rule in independent component analysis E Oja Neurocomputing 17 (1), 25-45, 1997 | 349 | 1997 |
