| Speech emotion recognition using deep 1D & 2D CNN LSTM networks J Zhao, X Mao, L Chen Biomedical signal processing and control 47, 312-323, 2019 | 1001 | 2019 |
| Speech emotion recognition: Features and classification models L Chen, X Mao, Y Xue, LL Cheng Digital signal processing 22 (6), 1154-1160, 2012 | 284 | 2012 |
| SQR: a simple quantum representation of infrared images S Yuan, X Mao, Y Xue, L Chen, Q Xiong, A Compare Quantum Information Processing 13, 1353-1379, 2014 | 119 | 2014 |
| Learning deep features to recognise speech emotion using merged deep CNN J Zhao, X Mao, L Chen IET Signal Processing 12 (6), 713-721, 2018 | 112 | 2018 |
| Agent based affective tutoring systems: A pilot study X Mao, Z Li Computers & Education 55 (1), 202-208, 2010 | 108 | 2010 |
| Multi-level speech emotion recognition based on HMM and ANN X Mao, L Chen, L Fu 2009 WRI World congress on computer science and information engineering 7 …, 2009 | 102 | 2009 |
| Learning deep facial expression features from image and optical flow sequences using 3D CNN J Zhao, X Mao, J Zhang The Visual Computer 34, 1461-1475, 2018 | 91 | 2018 |
| Implementing emotion-based user-aware e-learning X Mao, Z Li CHI'09 extended abstracts on human factors in computing systems, 3787-3792, 2009 | 67 | 2009 |
| Prominence features: Effective emotional features for speech emotion recognition S Jing, X Mao, L Chen Digital Signal Processing 72, 216-231, 2018 | 66 | 2018 |
| Quantum digital image processing algorithms based on quantum measurement S Yuan, X Mao, L Chen, Y Xue Optik 124 (23), 6386-6390, 2013 | 54 | 2013 |
| Speaker independent emotion recognition based on SVM/HMMs fusion system L Fu, X Mao, L Chen 2008 international conference on audio, language and image processing, 61-65, 2008 | 53 | 2008 |
| Detectability of infrared small targets K Huang, X Mao Infrared Physics & Technology 53 (3), 208-217, 2010 | 50 | 2010 |
| Beihang university facial expression database and multiple facial expression recognition Y Xue, X Mao, F Zhang 2006 International conference on machine learning and cybernetics, 3282-3287, 2006 | 37 | 2006 |
| Facial expression recognition considering individual differences in facial structure and texture J Yi, X Mao, L Chen, Y Xue, A Compare IET Computer Vision 8 (5), 429-440, 2014 | 35 | 2014 |
| Criterion to evaluate the quality of infrared small target images X Mao, W Diao Journal of Infrared, Millimeter, and Terahertz Waves 30, 56-64, 2009 | 35 | 2009 |
| Affective property of image and fractal dimension X Mao, B Chen, I Muta Chaos, Solitons & Fractals 15 (5), 905-910, 2003 | 35 | 2003 |
| Multilinear spatial discriminant analysis for dimensionality reduction S Yuan, X Mao, L Chen IEEE Transactions on Image Processing 26 (6), 2669-2681, 2017 | 34 | 2017 |
| Quantum morphology operations based on quantum representation model S Yuan, X Mao, T Li, Y Xue, L Chen, Q Xiong Quantum Information Processing 14, 1625-1645, 2015 | 33 | 2015 |
| Speech emotion recognition based on a hybrid of HMM/ANN X Mao, B Zhang, YI Luo Proceedings of the 7th Conference on 7th WSEAS International Conference on …, 2007 | 33 | 2007 |
| Robust facial expression recognition based on RPCA and AdaBoost X Mao, YL Xue, Z Li, K Huang, SW Lv 2009 10th Workshop on Image Analysis for Multimedia Interactive Services …, 2009 | 31 | 2009 |
