Topic · Emotion and Mood Recognition
Most cited papers in Emotion and Mood Recognition
What are the most cited papers in Emotion and Mood Recognition?
The most cited paper in Emotion and Mood Recognition is "DEAP: A Database for Emotion Analysis ;Using Physiological Signals" (Sander Koelstra, Christian Mühl, Mohammad Soleymani et al., 2011), with 5,075 citations. Next come "The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression" (4,216) and "Patterns of cognitive appraisal in emotion." (3,889).
Showing 50 of 100 papers. Every paper with more than 726 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | DEAP: A Database for Emotion Analysis ;Using Physiological Signals Sander Koelstra, Christian Mühl, Mohammad Soleymani et al. · IEEE Transactions on Affective Computing | 17 Jun 2011 | 5,075 |
| 2 | 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 |
| 3 | Patterns of cognitive appraisal in emotion. Craig A. Smith, Phoebe C. Ellsworth · Journal of Personality and Social Psychology | 1985 | 3,889 |
| 4 | IEMOCAP: interactive emotional dyadic motion capture database Carlos Busso, Murtaza Bulut, Chi-Chun Lee et al. · Language Resources and Evaluation | 4 Nov 2008 | 3,844 |
| 5 | A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions Zhihong Zeng, Maja Pantić, Glenn I. Roisman et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 6 Nov 2008 | 2,807 |
| 6 | Comprehensive database for facial expression analysis Takeo Kanade, Jeffrey F. Cohn, Yingli Tian | 7 Nov 2002 | 2,615 |
| 7 | Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks Wei‐Long Zheng, Bao‐Liang Lu · IEEE Transactions on Autonomous Mental Development | 8 May 2015 | 2,614 |
| 8 | Emotion recognition in human-computer interaction Roddy Cowie, Ellen Douglas‐Cowie, Nicolas Tsapatsoulis et al. · IEEE Signal Processing Magazine | 2001 | 2,602 |
| 9 | Toward machine emotional intelligence: analysis of affective physiological state Rosalind W. Picard, Elias Vyzas, Jennifer A. Healey · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2001 | 2,331 |
| 10 | 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 |
| 11 | AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild Ali Mollahosseini, Behzad Hasani, Mohammad H. Mahoor · IEEE Transactions on Affective Computing | 21 Aug 2017 | 2,302 |
| 12 | A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update Fabien Lotte, Laurent Bougrain, Andrzej S Cichocki et al. · Journal of Neural Engineering | 28 Feb 2018 | 2,262 |
| 13 | Survey on speech emotion recognition: Features, classification schemes, and databases Moataz El Ayadi, Mohamed S. Kamel, Fakhri Karray · Pattern Recognition | 14 Oct 2010 | 2,095 |
| 14 | Measures of emotion: A review Iris B. Mauss, Michael D. Robinson · Cognition & Emotion | Feb 2009 | 2,095 |
| 15 | Vocal communication of emotion: A review of research paradigms Klaus R. Scherer · Speech Communication | 30 Jan 2003 | 2,033 |
| 16 | The Neural Bases of Emotion Regulation: Reappraisal and Suppression of Negative Emotion Philippe R. Goldin, Kateri McRae, Wiveka Ramel et al. · Biological Psychiatry | 2 Oct 2007 | 1,907 |
| 17 | The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English Steven Robert Livingstone, Frank Russo · PLoS ONE | 16 May 2018 | 1,904 |
| 18 | OpenFace 2.0: Facial Behavior Analysis Toolkit Tadas Baltrušaitis, Amir Zadeh, Yao Chong Lim et al. | May 2018 | 1,878 |
| 19 | Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications Rafael A. Calvo, Sidney K. D’Mello · IEEE Transactions on Affective Computing | 2010 | 1,874 |
| 20 | Automatic facial expression analysis: a survey Beat Fasel, Juergen Luettin · Pattern Recognition | 7 Oct 2002 | 1,816 |
| 21 | Unconscious Facial Reactions to Emotional Facial Expressions Ulf Dimberg, Monika Thunberg, Kurt Elmehed · Psychological Science | 2000 | 1,794 |
| 22 | Deep learning for electroencephalogram (EEG) classification tasks: a review Alexander Craik, Yongtian He, Jose Luis Contreras-Vidal · Journal of Neural Engineering | 26 Feb 2019 | 1,779 |
| 23 | OpenFace: An open source facial behavior analysis toolkit Tadas Baltrušaitis, Peter Robinson, Louis‐Philippe Morency | Mar 2016 | 1,778 |
| 24 | Emotional Expressions Reconsidered: Challenges to Inferring Emotion From Human Facial Movements Lisa Feldman Barrett, Ralph Adolphs, Stacy Marsella et al. · Psychological Science in the Public Interest | Jul 2019 | 1,766 |
| 25 | Deep Facial Expression Recognition: A Survey Shan Li, Weihong Deng · IEEE Transactions on Affective Computing | 17 Mar 2020 | 1,762 |
| 26 | Guidelines for Human Electromyographic Research Alan J. Fridlund, John T. Cacioppo · Psychophysiology | Sep 1986 | 1,762 |
| 27 | Recognizing action units for facial expression analysis Yingli Tian, Takeo Kanade, Jeffrey F. Cohn · IEEE Transactions on Pattern Analysis and Machine Intelligence | 2001 | 1,758 |
| 28 | A Multimodal Database for Affect Recognition and Implicit Tagging Mohammad Soleymani, Jeroen F. Lichtenauer, Thierry Pun et al. · IEEE Transactions on Affective Computing | 15 Aug 2011 | 1,677 |
| 29 | A review of affective computing: From unimodal analysis to multimodal fusion Soujanya Poria, Erik Cambria, Rajiv Bajpai et al. · Information Fusion | 3 Feb 2017 | 1,644 |
| 30 | EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks Tengfei Song, Wenming Zheng, Peng Song et al. · IEEE Transactions on Affective Computing | 21 Mar 2018 | 1,593 |
| 31 | Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild Shan Li, Weihong Deng, Junping Du | Jul 2017 | 1,404 |
| 32 | Feelings and phenomenal experiences Norbert Schwarz, Gerald L. Clore, A. Kruglanski et al. | 2007 | 1,370 |
| 33 | Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection Philip Schmidt, Attila Reiss, Robert Duerichen et al. | 2 Oct 2018 | 1,278 |
| 34 | EmotionMeter: A Multimodal Framework for Recognizing Human Emotions Wei‐Long Zheng, Wei Liu, Yifei Lu et al. · IEEE Transactions on Cybernetics | 7 Feb 2018 | 1,276 |
| 35 | Facial Expression Analysis under Partial Occlusion Ligang Zhang, Brijesh Verma, Dian Tjondronegoro et al. · ACM Computing Surveys | 18 Apr 2018 | 1,252 |
| 36 | Emotions Recognition Using EEG Signals: A Survey Soraia M. Alarcão, Manuel J. Fonseca · IEEE Transactions on Affective Computing | 12 Jun 2017 | 1,204 |
| 37 | A 3D Facial Expression Database For Facial Behavior Research Lijun Yin, Xiaozhou Wei, Yi Sun et al. | 28 Apr 2006 | 1,201 |
| 38 | DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices Stamos Katsigiannis, Naeem Ramzan · IEEE Journal of Biomedical and Health Informatics | 27 Mar 2017 | 1,117 |
| 39 | EEG differences between eyes-closed and eyes-open resting conditions Robert J. Barry, Adam R. Clarke, Stuart John Johnstone et al. · Clinical Neurophysiology | 3 Oct 2007 | 1,111 |
| 40 | Differential entropy feature for EEG-based emotion classification Ruo-Nan Duan, Jiayi Zhu, Bao‐Liang Lu | Nov 2013 | 1,106 |
| 41 | Feature Extraction and Selection for Emotion Recognition from EEG Robert Jenke, Angelika Peer, MARTIN J. BUSS · IEEE Transactions on Affective Computing | Jul 2014 | 1,099 |
| 42 | Going deeper in facial expression recognition using deep neural networks Ali Mollahosseini, David Wing Keung Chan, Mohammad H. Mahoor | Mar 2016 | 1,095 |
| 43 | Emotion recognition based on physiological changes in music listening Jonghwa Kim, Elisabeth André · IEEE Transactions on Pattern Analysis and Machine Intelligence | 29 Sep 2008 | 1,090 |
| 44 | Web-Based Database for Facial Expression Analysis Maja Pantić, Michel Valstar, Richard M. Rademaker et al. | 24 Oct 2005 | 1,066 |
| 45 | Emotion and Motivation Margaret M. Bradley, Peter J. Lang · Cambridge University Press eBooks | 22 Dec 2009 | 1,048 |
| 46 | Machine learning in mental health: a scoping review of methods and applications Adrian B. R. Shatte, Delyse M. Hutchinson, Samantha J. Teague · Psychological Medicine | 12 Feb 2019 | 1,045 |
| 47 | Speech emotion recognition using deep 1D & 2D CNN LSTM networks Jianfeng Zhao, Xia Mao, Lijiang Chen · Biomedical Signal Processing and Control | 11 Sep 2018 | 1,042 |
| 48 | EEG-Based Emotion Recognition in Music Listening Yuan‐Pin Lin, Chi‐Hong Wang, Tzyy‐Ping Jung et al. · IEEE Transactions on Biomedical Engineering | 12 May 2010 | 1,038 |
| 49 | CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation Wen‐Jing Yan, Xiaobai Li, Sujing Wang et al. · PLoS ONE | 27 Jan 2014 | 1,008 |
| 50 | Identifying Stable Patterns over Time for Emotion Recognition from EEG Wei‐Long Zheng, Jiayi Zhu, Bao‐Liang Lu · IEEE Transactions on Affective Computing | 5 Jun 2017 | 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.