| Sub-band target alignment common spatial pattern in brain-computer interface X Zhang, Q She, Y Chen, W Kong, C Mei Computer Methods and Programs in Biomedicine 207, 106150, 2021 | 422 | 2021 |
| On the use of EEG or MEG brain imaging tools in neuromarketing research G Vecchiato, L Astolfi, F De Vico Fallani, J Toppi, F Aloise, F Bez, D Wei, ... Computational intelligence and neuroscience 2011 (1), 643489, 2011 | 297 | 2011 |
| Assessment of mental fatigue during car driving by using high resolution EEG activity and neurophysiologic indices G Borghini, G Vecchiato, J Toppi, L Astolfi, A Maglione, R Isabella, ... 2012 annual international conference of the IEEE engineering in medicine and …, 2012 | 226 | 2012 |
| EEG classification of driver mental states by deep learning H Zeng, C Yang, G Dai, F Qin, J Zhang, W Kong Cognitive neurodynamics 12, 597-606, 2018 | 207 | 2018 |
| EEG-based emotion recognition using 4D convolutional recurrent neural network F Shen, G Dai, G Lin, J Zhang, W Kong, H Zeng Cognitive Neurodynamics 14, 815-828, 2020 | 156 | 2020 |
| A LightGBM‐based EEG analysis method for driver mental states classification H Zeng, C Yang, H Zhang, Z Wu, J Zhang, G Dai, F Babiloni, W Kong Computational intelligence and neuroscience 2019 (1), 3761203, 2019 | 122 | 2019 |
| Deep multimodal multilinear fusion with high-order polynomial pooling M Hou, J Tang, J Zhang, W Kong, Q Zhao Advances in Neural Information Processing Systems 32, 2019 | 118 | 2019 |
| Assessment of driving fatigue based on intra/inter-region phase synchronization W Kong, Z Zhou, B Jiang, F Babiloni, G Borghini Neurocomputing 219, 474-482, 2017 | 118 | 2017 |
| Investigating Driver Fatigue versus Alertness Using the Granger Causality Network W Kong, W Lin, F Babiloni, S Hu, G Borghini Sensors 15 (8), 19181-19198, 2015 | 91 | 2015 |
| YOLOv3-DPFIN: A dual-path feature fusion neural network for robust real-time sonar target detection W Kong, J Hong, M Jia, J Yao, W Cong, H Hu, H Zhang IEEE Sensors Journal 20 (7), 3745-3756, 2019 | 87 | 2019 |
| Simulation of retinal ganglion cell response using fast independent component analysis G Wang, R Wang, W Kong, J Zhang Cognitive Neurodynamics 12, 615-624, 2018 | 83 | 2018 |
| Understanding the impact of TV commercials G Vecchiato, W Kong, A Giulio Maglione, D Wei IEEE pulse 3 (3), 42, 2012 | 81 | 2012 |
| EEG emotion classification using an improved SincNet-based deep learning model H Zeng, Z Wu, J Zhang, C Yang, H Zhang, G Dai, W Kong Brain sciences 9 (11), 326, 2019 | 77 | 2019 |
| Electronic evaluation for video commercials by impression index W Kong, X Zhao, S Hu, G Vecchiato, F Babiloni Cognitive neurodynamics 7, 531-535, 2013 | 73 | 2013 |
| A system of driving fatigue detection based on machine vision and its application on smart device W Kong, L Zhou, Y Wang, J Zhang, J Liu, S Gao Journal of Sensors 2015 (1), 548602, 2015 | 70 | 2015 |
| CTFN: Hierarchical learning for multimodal sentiment analysis using coupled-translation fusion network J Tang, K Li, X Jin, A Cichocki, Q Zhao, W Kong Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 63 | 2021 |
| Evaluation of the workload and drowsiness during car driving by using high resolution EEG activity and neurophysiologic indices A Maglione, G Borghini, P Aricò, F Borgia, I Graziani, A Colosimo, W Kong, ... 2014 36th annual international conference of the IEEE engineering in …, 2014 | 60 | 2014 |
| GFIL: A unified framework for the importance analysis of features, frequency bands, and channels in EEG-based emotion recognition Y Peng, F Qin, W Kong, Y Ge, F Nie, A Cichocki IEEE Transactions on Cognitive and Developmental Systems 14 (3), 935-947, 2021 | 59 | 2021 |
| Enhance of theta EEG spectral activity related to the memorization of commercial advertisings in Chinese and Italian subjects G Vecchiato, F Babiloni, L Astolfi, J Toppi, P Cherubino, J Dai, W Kong, ... 2011 4th international conference on biomedical engineering and informatics …, 2011 | 54 | 2011 |
| Automatic and direct identification of blink components from scalp EEG W Kong, Z Zhou, S Hu, J Zhang, F Babiloni, G Dai Sensors 13 (8), 10783-10801, 2013 | 53 | 2013 |
