On the use of EEG or MEG brain imaging tools in neuromarketing research G Vecchiato, L Astolfi, FDV Fallani, J Toppi, F Aloise, F Bez, D Wei, ... Computational intelligence and neuroscience 2011, 2011 | 252 | 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 | 196 | 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 | 151 | 2018 |
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 | 99 | 2017 |
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, 2019 | 85 | 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 | 83 | 2019 |
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 | 78 | 2020 |
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 | 75 | 2015 |
Understanding the impact of TV commercials G Vecchiato, W Kong, A Giulio Maglione, D Wei IEEE pulse 3 (3), 42, 2012 | 71 | 2012 |
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 | 66 | 2018 |
Electronic evaluation for video commercials by impression index W Kong, X Zhao, S Hu, G Vecchiato, F Babiloni Cognitive neurodynamics 7, 531-535, 2013 | 61 | 2013 |
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 | 60 | 2019 |
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 | 58 | 2019 |
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, 2015 | 57 | 2015 |
Towards a multimodal bioelectrical framework for the online mental workload evaluation P Aricò, G Borghini, I Graziani, F Taya, Y Sun, A Bezerianos, NV Thakor, ... 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 51 | 2014 |
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 | 51 | 2014 |
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 | 50 | 2013 |
On the use of cognitive neurometric indexes in aeronautic and air traffic management environments G Di Flumeri, G Borghini, P Aricò, A Colosimo, S Pozzi, S Bonelli, ... Symbiotic Interaction: 4th International Workshop, Symbiotic 2015, Berlin …, 2015 | 46 | 2015 |
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 | 44 | 2011 |
Comparison analysis: Granger causality and new causality and their applications to motor imagery S Hu, H Wang, J Zhang, W Kong, Y Cao, R Kozma IEEE transactions on neural networks and learning systems 27 (7), 1429-1444, 2015 | 42 | 2015 |