Topic · Face recognition and analysis
Most cited papers in Face recognition and analysis
What are the most cited papers in Face recognition and analysis?
The most cited paper in Face recognition and analysis is "Eigenfaces for Recognition" (Matthew Turk, Alex Pentland, 1991), with 13,806 citations. Next come "Rectified Linear Units Improve Restricted Boltzmann Machines" (13,220) and "Eigenfaces vs. Fisherfaces: recognition using class specific linear projection" (11,777).
Showing 50 of 99 papers. Every paper with more than 1,262 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Eigenfaces for Recognition Matthew Turk, Alex Pentland · Journal of Cognitive Neuroscience | 1991 | 13,806 |
| 2 | Rectified Linear Units Improve Restricted Boltzmann Machines Vinod B Nair, Geoffrey E. Hinton · International Conference on Machine Learning | 21 Jun 2010 | 13,220 |
| 3 | 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 |
| 4 | FaceNet: A unified embedding for face recognition and clustering Florian Schroff, Dmitry Kalenichenko, James Philbin | Jun 2015 | 11,581 |
| 5 | The Fusiform Face Area: A Module in Human Extrastriate Cortex Specialized for Face Perception Nancy Kanwisher, Josh H. McDermott, Marvin M. Chun · Journal of Neuroscience | Jun 1997 | 8,016 |
| 6 | Deep Learning Face Attributes in the Wild Ziwei Liu, Ping Luo, Xiaogang Wang et al. | Dec 2015 | 7,841 |
| 7 | Extracting and composing robust features with denoising autoencoders Pascal Vincent, Hugo Larochelle, Yoshua Bengio et al. | 2008 | 7,452 |
| 8 | 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 |
| 9 | Face recognition Wenyi Zhao, Rama Chellappa, P. Jonathon Phillips et al. · ACM Computing Surveys | Dec 2003 | 6,199 |
| 10 | 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 |
| 11 | Face recognition using eigenfaces Matthew Turk, Alex Pentland | 10 Dec 2002 | 5,228 |
| 12 | Deep Face Recognition Omkar Parkhi, Andrea Vedaldi, Andrew Zisserman | 2015 | 5,143 |
| 13 | From few to many: illumination cone models for face recognition under variable lighting and pose Athinodoros S. Georghiades, Peter N. Belhumeur, David Kriegman · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jun 2001 | 4,998 |
| 14 | Simple online and realtime tracking with a deep association metric Nicolai Wojke, Alex Bewley, Dietrich W. R. Paulus | Sep 2017 | 4,989 |
| 15 | A morphable model for the synthesis of 3D faces Volker Blanz, Thomas R. Vetter | 1999 | 4,858 |
| 16 | The FERET evaluation methodology for face-recognition algorithms P. Jonathon Phillips, Hyeonjoon Moon, Syed A. Rizvi et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2000 | 4,725 |
| 17 | Scalable Person Re-identification: A Benchmark Liang Zheng, Liyue Shen, Lu Tian et al. | Dec 2015 | 4,710 |
| 18 | Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments Gary B. Huang, Marwan Mattar, Tamara L. Berg et al. · HAL (Le Centre pour la Communication Scientifique Directe) | Oct 2008 | 4,502 |
| 19 | The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression Patrick J. Lucey, Jeffrey F. Cohn, Takeo Kanade et al. | Jun 2010 | 4,216 |
| 20 | A Discriminative Feature Learning Approach for Deep Face Recognition Yandong Wen, Kaipeng Zhang, Zhifeng Li et al. · Lecture notes in computer science | 2016 | 4,085 |
| 21 | Learning a Similarity Metric Discriminatively, with Application to Face Verification Sumit Chopra, Raia T. Hadsell, Yann LeCun | 27 Jul 2005 | 3,993 |
| 22 | Understanding face recognition Vicki Bruce, Andy Young · British Journal of Psychology | Aug 1986 | 3,987 |
| 23 | Neural network-based face detection Henry A. Rowley, Shumeet Baluja, Takeo Kanade · IEEE Transactions on Pattern Analysis and Machine Intelligence | 1998 | 3,534 |
| 24 | Detecting faces in images: a survey Shuicheng Yan, David Kriegman, Narendra Ahuja · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2002 | 3,449 |
| 25 | Face recognition using Laplacianfaces Xiaofei He, Shuicheng Yan, Yuxiao Hu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 31 Jan 2005 | 3,300 |
| 26 | PCA versus LDA Aleix M. Martı́nez, A.C. Kak · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2001 | 3,242 |
| 27 | Incremental Learning for Robust Visual Tracking David A. Ross, Jongwoo Lim, Ruei-Sung Lin et al. · International Journal of Computer Vision | 16 Aug 2007 | 3,114 |
| 28 | SphereFace: Deep Hypersphere Embedding for Face Recognition Weiyang Liu, Yandong Wen, Zhiding Yu et al. | Jul 2017 | 3,022 |
| 29 | VGGFace2: A Dataset for Recognising Faces across Pose and Age Qiong Cao, Li Shen, Weidi Xie et al. | May 2018 | 2,964 |
| 30 | CosFace: Large Margin Cosine Loss for Deep Face Recognition Hao Wang, Yitong Wang, Zheng Zhou et al. | Jun 2018 | 2,962 |
| 31 | Graph Embedding and Extensions: A General Framework for Dimensionality Reduction Shuicheng Yan, Dong Xu, Benyu Zhang et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | Dec 2006 | 2,893 |
| 32 | One millisecond face alignment with an ensemble of regression trees Vahid Kazemi, Josephine Sullivan | Jun 2014 | 2,870 |
| 33 | Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions Xiaoyang Tan, Bill Triggs · IEEE Transactions on Image Processing | 17 Feb 2010 | 2,853 |
| 34 | Parameterisation of a stochastic model for human face identification Ferdinando Samaria, Augustin Harter | 17 Dec 2002 | 2,633 |
| 35 | Presentation and validation of the Radboud Faces Database Oliver Langner, Ron Dotsch, Gijsbert Bijlstra et al. · Cognition & Emotion | 8 Apr 2010 | 2,514 |
| 36 | Human and machine recognition of faces: a survey Rama Chellappa, Charles L. Wilson, Saad A. Sirohey · Proceedings of the IEEE | May 1995 | 2,504 |
| 37 | Overview of the Face Recognition Grand Challenge P. Jonathon Phillips, Patrick J. Flynn, Thomas E. Scruggs et al. | 27 Jul 2005 | 2,466 |
| 38 | The FERET database and evaluation procedure for face-recognition algorithms P. Jonathon Phillips, Harry Wechsler, Jeffery Huang et al. · Image and Vision Computing | Apr 1998 | 2,465 |
| 39 | Face Recognition with Local Binary Patterns Timo P. S. Ahonen, Abdenour Hadid, Matti Pietikäinen · Lecture notes in computer science | 2004 | 2,445 |
| 40 | A Bayesian model of shape and appearance for subcortical brain segmentation Brian Patenaude, Stephen M. Smith, David N. Kennedy et al. · NeuroImage | 24 Feb 2011 | 2,411 |
| 41 | Low-dimensional procedure for the characterization of human faces L. Sirovich, Michael J. L. Kirby · Journal of the Optical Society of America A | Mar 1987 | 2,327 |
| 42 | Facial expression recognition based on Local Binary Patterns: A comprehensive study Caifeng Shan, Shaogang Gong, Peter William McOwan · Image and Vision Computing | 27 Aug 2008 | 2,323 |
| 43 | Active appearance models Tim F. Cootes, G. Edwards, Chris Taylor · Lecture notes in computer science | 1998 | 2,206 |
| 44 | Face detection, pose estimation, and landmark localization in the wild Xiangxin Zhu, Deva Ramanan | Jun 2012 | 2,206 |
| 45 | Deep Learning Face Representation from Predicting 10,000 Classes Yi Jie Sun, Xiaogang Wang, Xiaoou Tang | Jun 2014 | 2,103 |
| 46 | Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in Vitro Zhedong Zheng, Liang Zheng, Yi Ping Yang | Oct 2017 | 2,093 |
| 47 | Person Transfer GAN to Bridge Domain Gap for Person Re-identification Longhui Wei, Shiliang Steven Zhang, Wen Gao et al. | Jun 2018 | 2,062 |
| 48 | MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition Yandong Guo, Lei Zhang, Yuxiao Hu et al. · Lecture notes in computer science | 2016 | 2,054 |
| 49 | Face recognition based on fitting a 3D morphable model Volker Blanz, Thomas R. Vetter · IEEE Transactions on Pattern Analysis and Machine Intelligence | Sep 2003 | 2,029 |
| 50 | Sparse representation or collaborative representation: Which helps face recognition? Lei Zhang, Meng Yang, Xiangchu Feng | Nov 2011 | 1,985 |
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.