| Speech emotion recognition using deep convolutional neural network and discriminant temporal pyramid matching S Zhang, S Zhang, T Huang, W Gao IEEE transactions on multimedia 20 (6), 1576-1590, 2017 | 479 | 2017 |
| Learning affective features with a hybrid deep model for audio–visual emotion recognition S Zhang, S Zhang, T Huang, W Gao, Q Tian IEEE transactions on circuits and systems for video technology 28 (10), 3030 …, 2017 | 361 | 2017 |
| Facial expression recognition via deep learning X Zhao, X Shi, S Zhang IETE technical review 32 (5), 347-355, 2015 | 275 | 2015 |
| Learning affective video features for facial expression recognition via hybrid deep learning S Zhang, X Pan, Y Cui, X Zhao, L Liu IEEE Access 7, 32297-32304, 2019 | 158 | 2019 |
| Facial expression recognition based on local binary patterns and kernel discriminant isomap X Zhao, S Zhang Sensors 11 (10), 9573-9588, 2011 | 130 | 2011 |
| Multimodal deep convolutional neural network for audio-visual emotion recognition S Zhang, S Zhang, T Huang, W Gao Proceedings of the 2016 ACM on International Conference on Multimedia …, 2016 | 124 | 2016 |
| Spontaneous speech emotion recognition using multiscale deep convolutional LSTM S Zhang, X Zhao, Q Tian IEEE Transactions on Affective Computing 13 (2), 680-688, 2019 | 115 | 2019 |
| Facial expression recognition based on local binary patterns and local fisher discriminant analysis S Zhang, X Zhao, B Lei WSEAS transactions on signal processing 8 (1), 21-31, 2012 | 104 | 2012 |
| Robust facial expression recognition via compressive sensing S Zhang, X Zhao, B Lei Sensors 12 (3), 3747-3761, 2012 | 102 | 2012 |
| Enhanced supervised locally linear embedding S Zhang Pattern Recognition Letters 30 (13), 1208-1218, 2009 | 101 | 2009 |
| Facial expression recognition using local binary patterns and discriminant kernel locally linear embedding X Zhao, S Zhang EURASIP journal on Advances in signal processing 2012, 1-9, 2012 | 98 | 2012 |
| A review on facial expression recognition: feature extraction and classification X Zhao, S Zhang IETE Technical Review 33 (5), 505-517, 2016 | 93 | 2016 |
| Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects S Zhang, Y Yang, C Chen, X Zhang, Q Leng, X Zhao Expert Systems with Applications 237, 121692, 2024 | 90 | 2024 |
| Learning deep multimodal affective features for spontaneous speech emotion recognition S Zhang, X Tao, Y Chuang, X Zhao Speech Communication 127, 73-81, 2021 | 84 | 2021 |
| Emotion recognition in Chinese natural speech by combining prosody and voice quality features S Zhang Advances in Neural Networks-ISNN 2008: 5th International Symposium on Neural …, 2008 | 68 | 2008 |
| Robust emotion recognition in noisy speech via sparse representation X Zhao, S Zhang, B Lei Neural Computing and Applications 24, 1539-1553, 2014 | 60 | 2014 |
| A review on design parameters and specifications of parabolic solar dish Stirling systems and their applications MZ Malik, PH Shaikh, S Zhang, AA Lashari, ZH Leghari, MH Baloch, ... Energy Reports 8, 4128-4154, 2022 | 54 | 2022 |
| Facial expression recognition based on Gabor wavelets and sparse representation S Zhang, L Li, Z Zhao 2012 IEEE 11th international conference on signal processing 2, 816-819, 2012 | 50 | 2012 |
| Transformer-based multimodal feature enhancement networks for multimodal depression detection integrating video, audio and remote photoplethysmograph signals H Fan, X Zhang, Y Xu, J Fang, S Zhang, X Zhao, J Yu Information Fusion 104, 102161, 2024 | 45 | 2024 |
| Speech emotion recognition using an enhanced kernel isomap for human-robot interaction S Zhang, X Zhao, B Lei International Journal of Advanced Robotic Systems 10 (2), 114, 2013 | 41 | 2013 |
