Most cited papers in Blind Source Separation Techniques
What are the most cited papers in Blind Source Separation Techniques?
The most cited paper in Blind Source Separation Techniques is "Support-Vector Networks" (Corinna Cortes, Vladimir N. Vapnik, 1995), with 34,309 citations. Next come "Learning representations by back-propagating errors" (32,003) and "EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis" (25,692).
Showing 50 of 100 papers. Every paper with more than 1,929 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Support-Vector Networks Corinna Cortes, Vladimir N. Vapnik · Machine Learning | Sep 1995 | 34,309 |
| 2 | Learning representations by back-propagating errors David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature | Oct 1986 | 32,003 |
| 3 | EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis Arnaud Delorme, Scott Makeig · Journal of Neuroscience Methods | 5 Feb 2004 | 25,692 |
| 4 | Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers Stephen Boyd, Neal Parikh, Eric Chu et al. · Foundations and Trends® in Machine Learning | 26 Jul 2011 | 16,474 |
| 5 | A Global Geometric Framework for Nonlinear Dimensionality Reduction Joshua B. Tenenbaum, Vin de Silva, John C. Langford · Science | 22 Dec 2000 | 13,882 |
| 6 | The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms P. D. Welch · IEEE Transactions on Audio and Electroacoustics | Jun 1967 | 12,413 |
| 7 | A training algorithm for optimal margin classifiers Bernhard E. Boser, Isabelle Guyon, Vladimir N. Vapnik | Jul 1992 | 11,724 |
| 8 | SExtractor: Software for source extraction E. Bertin, Stéphane Arnouts · Astronomy & Astrophysics Supplement Series | Jun 1996 | 11,111 |
| 9 | Tensor Decompositions and Applications Tamara G. Kolda, Brett W. Bader · SIAM Review | 5 Aug 2009 | 10,717 |
| 10 | Bidirectional recurrent neural networks Mike Schuster, Kuldip K. Paliwal · IEEE Transactions on Signal Processing | 1997 | 10,411 |
| 11 | An Introduction To Compressive Sampling Emmanuel J. Candès, Michael B. Wakin · IEEE Signal Processing Magazine | Mar 2008 | 10,167 |
| 12 | Principal component analysis: a review and recent developments Ian T. Jolliffe, Jorge F. C. L. Cadima · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences | 7 Mar 2016 | 10,078 |
| 13 | Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit Joel A. Tropp, Anna C. Gilbert · IEEE Transactions on Information Theory | Dec 2007 | 9,832 |
| 14 | $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation Michal Aharon, Michael Elad, Alfred Marcel Bruckstein · IEEE Transactions on Signal Processing | 18 Oct 2006 | 9,612 |
| 15 | Nonparametric statistical testing of EEG- and MEG-data Eric Maris, Robert Oostenveld · Journal of Neuroscience Methods | 11 Apr 2007 | 9,461 |
| 16 | An Information-Maximization Approach to Blind Separation and Blind Deconvolution Anthony J. Bell, Terrence J. Sejnowski · Neural Computation | Nov 1995 | 9,265 |
| 17 | Independent component analysis: algorithms and applications Aapo Hyvärinen, Erkki Oja · Neural Networks | Jun 2000 | 8,914 |
| 18 | ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD Zhaohua Wu, Norden Eh Huang · Advances in Adaptive Data Analysis | 17 Oct 2008 | 8,819 |
| 19 | Independent component analysis, A new concept? Pierre Comon · Signal Processing | Apr 1994 | 8,300 |
| 20 | Nonlinear Component Analysis as a Kernel Eigenvalue Problem Bernhard Schölkopf, Alexander Johannes Smola, Klaus‐Robert Müller · Neural Computation | Jul 1998 | 8,164 |
| 21 | Identification and control of dynamical systems using neural networks Kumpati S. Narendra, Kavya Parthasarathy · IEEE Transactions on Neural Networks | Mar 1990 | 8,035 |
| 22 | Independent Component Analysis Aapo Hyvärinen, Patrik O. Hoyer, Mika Inki · The MIT Press eBooks | 3 Sep 2004 | 7,998 |
| 23 | An introduction to computing with neural nets Richard P. Lippmann · IEEE ASSP Magazine | 1987 | 7,859 |
| 24 | On Spectral Clustering: Analysis and an algorithm Andrew Y. Ng, Michael I. Jordan, Yair Weiss | 3 Jan 2001 | 7,762 |
| 25 | Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm Yuntang Zhang, Michael Brady, Stephen M. Smith · IEEE Transactions on Medical Imaging | 2001 | 7,426 |
| 26 | ESPRIT-estimation of signal parameters via rotational invariance techniques R. Roy, T. Kailath · IEEE Transactions on Acoustics Speech and Signal Processing | Jul 1989 | 7,295 |
| 27 | The wavelet transform, time-frequency localization and signal analysis Ingrid C. Daubechies · IEEE Transactions on Information Theory | 1990 | 6,510 |
| 28 | Fast and robust fixed-point algorithms for independent component analysis Aapo Hyvärinen · IEEE Transactions on Neural Networks | May 1999 | 6,400 |
| 29 | Least-squares frequency analysis of unequally spaced data Nick Lomb · Astrophysics and Space Science | Feb 1976 | 5,834 |
| 30 | Algorithms for Non-negative Matrix Factorization Daniel D. Lee, H. Sebastian Seung | 2000 | 5,466 |
| 31 | Principal component analysis in linear systems: Controllability, observability, and model reduction B. C. Moore · IEEE Transactions on Automatic Control | Feb 1981 | 5,320 |
| 32 | On combining classifiers Josef Kittler, M. Hatef, Robert P. W. Duin et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | Mar 1998 | 5,316 |
| 33 | Exact Matrix Completion via Convex Optimization Emmanuel J. Candès, Benjamin Recht · Foundations of Computational Mathematics | 2 Apr 2009 | 5,176 |
| 34 | Suppression of acoustic noise in speech using spectral subtraction S. Boll · IEEE Transactions on Acoustics Speech and Signal Processing | Apr 1979 | 4,674 |
| 35 | CoSaMP: Iterative signal recovery from incomplete and inaccurate samples Deanna Needell, Joel A. Tropp · Applied and Computational Harmonic Analysis | 23 Jul 2008 | 4,457 |
| 36 | Some Mathematical Notes on Three-Mode Factor Analysis Ledyard R Tucker · Psychometrika | Sep 1966 | 4,345 |
| 37 | Estimating mutual information Alexander Kraskov, Harald Stögbauer, Peter Grassberger · Physical Review E | 23 Jun 2004 | 4,237 |
| 38 | Fast Learning in Networks of Locally-Tuned Processing Units John E. Moody, Christian J. Darken · Neural Computation | Jun 1989 | 4,226 |
| 39 | MEG and EEG data analysis with MNE-Python Alexandre Gramfort · Frontiers in Neuroscience | 2013 | 4,188 |
| 40 | The unscented Kalman filter for nonlinear estimation Eric A. Wan, Rudolph van der Merwe | 7 Nov 2002 | 4,024 |
| 41 | A direct adaptive method for faster backpropagation learning: the RPROP algorithm Martin Riedmiller, Heinrich Braun | 30 Dec 2002 | 3,938 |
| 42 | The JPEG still picture compression standard Gregory K. Wallace · Communications of the ACM | Apr 1991 | 3,800 |
| 43 | Probabilistic Principal Component Analysis Michael E. Tipping, Chris Bishop · Journal of the Royal Statistical Society Series B (Statistical Methodology) | Sep 1999 | 3,779 |
| 44 | Greed is Good: Algorithmic Results for Sparse Approximation Joel A. Tropp · IEEE Transactions on Information Theory | 28 Sep 2004 | 3,747 |
| 45 | Time-frequency distributions-a review Leon W. Cohen · Proceedings of the IEEE | Jul 1989 | 3,593 |
| 46 | Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems Mário A. T. Figueiredo, Robert D. Nowak, Stephen J. Wright · IEEE Journal of Selected Topics in Signal Processing | Dec 2007 | 3,573 |
| 47 | Detection of signals by information theoretic criteria M. Wax, T. Kailath · IEEE Transactions on Acoustics Speech and Signal Processing | Apr 1985 | 3,443 |
| 48 | A Fast Fixed-Point Algorithm for Independent Component Analysis Aapo Hyvärinen, Erkki Oja · Neural Computation | Oct 1997 | 3,427 |
| 49 | Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory Claes Fornell, Fred L. Bookstein · Journal of Marketing Research | Nov 1982 | 3,390 |
| 50 | Canonical Correlation Analysis: An Overview with Application to Learning Methods David Roi Hardoon, Sándor Szedmák, John S. Shawe-Taylor · Neural Computation | 26 Oct 2004 | 3,334 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.