| Independent Component Analysis A Hyvärinen, J Karhunen, E Oja John Wiley & Sons, inc., 2001 | 28461* | 2001 |
| A fast fixed-point algorithm for independent component analysis A Hyvärinen, E Oja Neural computation 9 (7), 1483-1492, 1997 | 4110 | 1997 |
| Simplified neuron model as a principal component analyzer E Oja Journal of mathematical biology 15 (3), 267-273, 1982 | 2683 | 1982 |
| Survey on independent component analysis A Hyvarinen Neural computing surveys 2 (4), 94-128, 1999 | 1791 | 1999 |
| A new curve detection method: randomized Hough transform (RHT) L Xu, E Oja, P Kultanen Pattern recognition letters 11 (5), 331-338, 1990 | 1325 | 1990 |
| Subspace methods of pattern recognition E Oja Research Studies Press, 1983 | 1130 | 1983 |
| Neural networks, principal components, and subspaces E Oja International journal of neural systems 1 (01), 61-68, 1989 | 1094 | 1989 |
| Principal components, minor components, and linear neural networks E Oja Neural networks 5 (6), 927-935, 1992 | 1026 | 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 | 985 | 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 | 804 | 2000 |
| 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 | 799 | 1993 |
| Randomized Hough transform (RHT): basic mechanisms, algorithms, and computational complexities L Xu, E Oja CVGIP: Image understanding 57 (2), 131-154, 1993 | 781 | 1993 |
| Topographic independent component analysis A Hyvärinen, PO Hoyer, M Inki Neural computation 13 (7), 1527-1558, 2001 | 652* | 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 | 633 | 1985 |
| 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 | 591 | 1997 |
| Sparse code shrinkage: Denoising by nonlinear maximum likelihood estimation A Hyvärinen, PO Hoyer, E Oja Advances in Neural Information Processing Systems, 473-479, 1999 | 551 | 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 | 367 | 2006 |
| Independent component analysis for identification of artifacts in magnetoencephalographic recordings R Vigário, V Jousmäki, M Hämäläinen, R Hari, E Oja Advances in neural information processing systems, 229-235, 1998 | 325 | 1998 |
| 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 | 311 | 2001 |
| Independent component analysis by general nonlinear Hebbian-like learning rules A Hyvärinen, E Oja signal processing 64 (3), 301-313, 1998 | 306 | 1998 |
