| Emotion recognition from multimodal physiological signals using a regularized deep fusion of kernel machine X Zhang, J Liu, J Shen, S Li, K Hou, B Hu, J Gao, T Zhang IEEE transactions on cybernetics 51 (9), 4386-4399, 2020 | 156 | 2020 |
| An improved empirical mode decomposition of electroencephalogram signals for depression detection J Shen, X Zhang, G Wang, Z Ding, B Hu IEEE transactions on affective computing 13 (1), 262-271, 2019 | 111 | 2019 |
| An optimal channel selection for EEG-based depression detection via kernel-target alignment J Shen, X Zhang, X Huang, M Wu, J Gao, D Lu, Z Ding, B Hu IEEE Journal of Biomedical and Health Informatics 25 (7), 2545-2556, 2020 | 101 | 2020 |
| Fusing of electroencephalogram and eye movement with group sparse canonical correlation analysis for anxiety detection X Zhang, J Pan, J Shen, Z Ud Din, J Li, D Lu, M Wu, B Hu IEEE Transactions on Affective Computing 13 (2), 958-971, 2020 | 70 | 2020 |
| A novel depression detection method based on pervasive EEG and EEG splitting criterion J Shen, S Zhao, Y Yao, Y Wang, L Feng 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 70 | 2017 |
| Multimodal depression detection: Fusion of electroencephalography and paralinguistic behaviors using a novel strategy for classifier ensemble X Zhang, J Shen, Z ud Din, J Liu, G Wang, B Hu IEEE journal of biomedical and health informatics 23 (6), 2265-2275, 2019 | 60 | 2019 |
| Depression recognition from EEG signals using an adaptive channel fusion method via improved focal loss J Shen, Y Zhang, H Liang, Z Zhao, K Zhu, K Qian, Q Dong, X Zhang, B Hu IEEE Journal of Biomedical and Health Informatics 27 (7), 3234-3245, 2023 | 47 | 2023 |
| Exploring the intrinsic features of EEG signals via empirical mode decomposition for depression recognition J Shen, Y Zhang, H Liang, Z Zhao, Q Dong, K Qian, X Zhang, B Hu IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 356-365, 2022 | 44 | 2022 |
| Effective brain network analysis with resting-state EEG data: a comparison between heroin abstinent and non-addicted subjects B Hu, Q Dong, Y Hao, Q Zhao, J Shen, F Zheng Journal of neural engineering 14 (4), 046002, 2017 | 41 | 2017 |
| Fatigue detection with covariance manifolds of electroencephalography in transportation industry X Zhang, D Lu, J Pan, J Shen, M Wu, X Hu, B Hu IEEE Transactions on Industrial Informatics 17 (5), 3497-3507, 2020 | 38 | 2020 |
| EEG-based depression detection using convolutional neural network with demographic attention mechanism X Zhang, J Li, K Hou, B Hu, J Shen, J Pan 2020 42nd annual international conference of the ieee engineering in …, 2020 | 38 | 2020 |
| Individual similarity guided transfer modeling for EEG-based emotion recognition X Zhang, W Liang, T Ding, J Pan, J Shen, X Huang, J Gao 2019 ieee international conference on bioinformatics and biomedicine (bibm …, 2019 | 30 | 2019 |
| Fundamentals of computational psychophysiology: Theory and methodology B Hu, J Shen, L Zhu, Q Dong, H Cai, K Qian IEEE Transactions on Computational Social Systems 9 (2), 349-355, 2022 | 21 | 2022 |
| Depression detection using resting state three-channel EEG signal Q Shi, A Liu, R Chen, J Shen, Q Zhao, B Hu arXiv preprint arXiv:2002.09175, 2020 | 18 | 2020 |
| Network representation learning via improved random walk with restart Y Zhang, J Shen, R Zhang, Z Zhao Knowledge-Based Systems 263, 110255, 2023 | 15 | 2023 |
| A novel intelligence evaluation framework: exploring the psychophysiological patterns of gifted students J Shen, K Zhu, Z Zhao, H Liang, Y Ma, K Qian, Y Zhang, Q Dong IEEE Transactions on Computational Social Systems, 2023 | 13 | 2023 |
| Wearable EEG-based real-time system for depression monitoring S Zhao, Q Zhao, X Zhang, H Peng, Z Yao, J Shen, Y Yao, H Jiang, B Hu Brain Informatics: International Conference, BI 2017, Beijing, China …, 2017 | 13 | 2017 |
| The inverse problems for computational psychophysiology: Opinions and insights B Hu, K Qian, Y Zhang, J Shen, BW Schuller Cyborg and Bionic Systems, 2022 | 10 | 2022 |
| Emotion recognition from multimodal physiological signals via discriminative correlation fusion with a temporal alignment mechanism K Hou, X Zhang, Y Yang, Q Zhao, W Yuan, Z Zhou, S Zhang, C Li, J Shen, ... IEEE Transactions on Cybernetics, 2023 | 9 | 2023 |
| Risk prediction of Alzheimer’s disease conversion in mild cognitive impaired population based on brain age estimation W Liu, Q Dong, S Sun, J Shen, K Qian, B Hu IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 2468-2476, 2023 | 9 | 2023 |
Bin HuLan Zhou UniversityVerified email at lzu.edu.cn