Topic · Face and Expression Recognition
Most cited papers in Face and Expression Recognition
What are the most cited papers in Face and Expression Recognition?
The most cited paper in Face and Expression Recognition is "Random Forests" (Leo Breiman, 2001), with 132,956 citations. Next come "LIBSVM" (41,500) and "Support-vector networks" (41,211).
Showing 50 of 99 papers. Every paper with more than 2,831 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Random Forests Leo Breiman · Machine Learning | Oct 2001 | 132,956 |
| 2 | LIBSVM Chih-Chung Chang, Chih‐Jen Lin · ACM Transactions on Intelligent Systems and Technology | Apr 2011 | 41,500 |
| 3 | Support-vector networks Corinna Cortes, Vladimir N. Vapnik · Machine Learning | Sep 1995 | 41,211 |
| 4 | Regularization and Variable Selection Via the Elastic Net Hui Jun Zou, Trevor Hastie · Journal of the Royal Statistical Society Series B (Statistical Methodology) | 9 Mar 2005 | 21,757 |
| 5 | Rapid object detection using a boosted cascade of simple features Paul A. Viola, Michael Jones | 24 Aug 2005 | 18,370 |
| 6 | A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Whitney K. Newey, Kenneth D. West · Econometrica | May 1987 | 17,610 |
| 7 | A Tutorial on Support Vector Machines for Pattern Recognition Christopher J. C. Burges · Data Mining and Knowledge Discovery | Jun 1998 | 16,499 |
| 8 | Nonlinear Dimensionality Reduction by Locally Linear Embedding Sam T. Roweis, Lawrence K. Saul · Science | 22 Dec 2000 | 15,156 |
| 9 | Robust Real-Time Face Detection Paul A. Viola, Michael Jones · International Journal of Computer Vision | 22 Jan 2004 | 14,253 |
| 10 | Regularization Paths for Generalized Linear Models via Coordinate Descent. Jerome H. Friedman, Trevor Hastie, Rob Tibshirani · PubMed | 2010 | 14,024 |
| 11 | Eigenfaces for Recognition Matthew Turk, Alex Pentland · Journal of Cognitive Neuroscience | 1991 | 13,806 |
| 12 | A tutorial on support vector regression Alex J. Smola, Bernhard Schölkopf · Statistics and Computing | 19 Jul 2004 | 13,458 |
| 13 | Representation Learning: A Review and New Perspectives Yoshua Bengio, Aaron C. Courville, P. M. Durai Raj Vincent · IEEE Transactions on Pattern Analysis and Machine Intelligence | 31 May 2013 | 13,351 |
| 14 | The Elements of Statistical Learning: Data Mining, Inference, and Prediction Zigang Lu · Journal of the Royal Statistical Society Series A (Statistics in Society) | 17 Jun 2010 | 12,808 |
| 15 | Eigenfaces vs. Fisherfaces: recognition using class specific linear projection Peter N. Belhumeur, João P. Hespanha, David Kriegman · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jul 1997 | 11,777 |
| 16 | FaceNet: A unified embedding for face recognition and clustering Florian Schroff, Dmitry Kalenichenko, James Philbin | Jun 2015 | 11,581 |
| 17 | Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy Hanchuan Peng, Fuhui Long, Chen Ding · IEEE Transactions on Pattern Analysis and Machine Intelligence | 22 Jun 2005 | 10,690 |
| 18 | Robust Face Recognition via Sparse Representation John N. Wright, A. Yang, Arvind Ganesh et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 14 Jan 2009 | 9,546 |
| 19 | Least Squares Support Vector Machine Classifiers Johan A. K. Suykens, Joos P. L. Vandewalle · Neural Processing Letters | Jun 1999 | 9,454 |
| 20 | Extremely randomized trees Pierre Geurts, Damien Ernst, Louis A. Wehenkel · Machine Learning | 2 Mar 2006 | 9,239 |
| 21 | Wrappers for feature subset selection Ron Kohavi, George H. John · Artificial Intelligence | Dec 1997 | 9,026 |
| 22 | Ensemble Methods in Machine Learning Thomas G. Dietterich · Lecture notes in computer science | 2000 | 8,132 |
| 23 | Deep Learning Face Attributes in the Wild Ziwei Liu, Ping Luo, Xiaogang Wang et al. | Dec 2015 | 7,841 |
| 24 | Laplacian Eigenmaps for Dimensionality Reduction and Data Representation Mikhail Belkin, Partha Niyogi · Neural Computation | 21 May 2003 | 7,818 |
| 25 | On Spectral Clustering: Analysis and an algorithm Andrew Y. Ng, Michael I. Jordan, Yair Weiss | 3 Jan 2001 | 7,762 |
| 26 | Support vector machines Marti A. Hearst, Susan Dumais, E. Osuna et al. · IEEE Intelligent Systems and their Applications | Jul 1998 | 7,152 |
| 27 | Robust principal component analysis? Emmanuel J. Candès, Xiaodong Li, Yi Ma et al. · Journal of the ACM | May 2011 | 6,962 |
| 28 | The random subspace method for constructing decision forests Tin Kam Ho · IEEE Transactions on Pattern Analysis and Machine Intelligence | 1998 | 6,940 |
| 29 | Statistical pattern recognition: a review Anil Kumar Jain, Peter Duin, Jianchang Mao · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2000 | 6,802 |
| 30 | DeepFace: Closing the Gap to Human-Level Performance in Face Verification Yaniv Taigman, Ming Juan Yang, Marc’Aurelio Ranzato et al. | Jun 2014 | 6,691 |
| 31 | LIBLINEAR: A Library for Large Linear Classification Rong-En Fan, Kai‐Wei Chang, Cho‐Jui Hsieh et al. | Jun 2008 | 6,609 |
| 32 | An overview of statistical learning theory Vladimir N. Vapnik · IEEE Transactions on Neural Networks | 1999 | 6,335 |
| 33 | k-means++: the advantages of careful seeding David Arthur, Sergei Vassilvitskii | 7 Jan 2007 | 6,293 |
| 34 | Approximation capabilities of multilayer feedforward networks Kurt Hornik · Neural Networks | 1991 | 6,251 |
| 35 | Survey of Clustering Algorithms Rui Xu, D. WunschII · IEEE Transactions on Neural Networks | May 2005 | 6,241 |
| 36 | Face recognition Wenyi Zhao, Rama Chellappa, P. Jonathon Phillips et al. · ACM Computing Surveys | Dec 2003 | 6,199 |
| 37 | Estimating the Support of a High-Dimensional Distribution Bernhard Schölkopf, John C. Platt, John S. Shawe-Taylor et al. · Neural Computation | Jul 2001 | 6,166 |
| 38 | Objective Criteria for the Evaluation of Clustering Methods William M. Rand · Journal of the American Statistical Association | Dec 1971 | 6,021 |
| 39 | Top 10 algorithms in data mining Xindong Wu, Vipin Kumar, J. R. Quinlan et al. · Knowledge and Information Systems | 3 Dec 2007 | 5,723 |
| 40 | Face Description with Local Binary Patterns: Application to Face Recognition T. Ahonen, Abdenour Hadid, Matti Pietikäinen · IEEE Transactions on Pattern Analysis and Machine Intelligence | 30 Oct 2006 | 5,640 |
| 41 | Extreme Learning Machine for Regression and Multiclass Classification Guang-Bin Huang, Hongming Zhou, Xiaojian Ding et al. · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) | 11 Oct 2011 | 5,594 |
| 42 | Fast Training of Support Vector Machines Using Sequential Minimal Optimization John C. Platt · The MIT Press eBooks | Dec 1998 | 5,489 |
| 43 | Algorithms for Non-negative Matrix Factorization Daniel D. Lee, H. Sebastian Seung | 2000 | 5,466 |
| 44 | Dimensionality Reduction by Learning an Invariant Mapping Raia T. Hadsell, Sumit Chopra, Yann LeCun | 10 Jul 2006 | 5,318 |
| 45 | 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 |
| 46 | Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li et al. · IEEE Signal Processing Letters | 26 Aug 2016 | 5,251 |
| 47 | A survey on feature selection methods Girish Chandrashekar, Ferat Sahin · Computers & Electrical Engineering | 6 Dec 2013 | 5,248 |
| 48 | Face recognition using eigenfaces Matthew Turk, Alex Pentland | 10 Dec 2002 | 5,228 |
| 49 | Deep Face Recognition Omkar Parkhi, Andrea Vedaldi, Andrew Zisserman | 2015 | 5,143 |
| 50 | An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression Naomi Altman · The American Statistician | Aug 1992 | 5,092 |
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.