| Driver fatigue detection system using electroencephalography signals based on combined entropy features Z Mu, J Hu, J Min Applied Sciences 7 (2), 150, 2017 | 109 | 2017 |
| EEG-based person authentication using a fuzzy entropy-related approach with two electrodes Z Mu, J Hu, J Min Entropy 18 (12), 432, 2016 | 74 | 2016 |
| Driving fatigue detecting based on EEG signals of forehead area Z Mu, J Hu, J Yin International Journal of Pattern Recognition and Artificial Intelligence 31 …, 2017 | 69 | 2017 |
| Application of energy entropy in motor imagery EEG classification J Hu, D Xiao, Z Mu International Journal of Digital Content Technology and its Applications 3 …, 2009 | 50 | 2009 |
| Comparison of different entropies as features for person authentication based on EEG signals Z Mu, J Hu, J Min, J Yin IET Biometrics 6 (6), 409-417, 2017 | 30 | 2017 |
| Research of EEG identification computing based on AR model Z Mu, J Hu 2009 international conference on future biomedical information engineering …, 2009 | 29 | 2009 |
| Fatigue driving recognition based on deep learning and graph neural network Z Lin, T Qiu, P Liu, L Zhang, S Zhang, Z Mu Biomedical Signal Processing and Control 68, 102598, 2021 | 28 | 2021 |
| Developing and evaluating a mobile driver fatigue detection network based on electroencephalograph signals J Yin, J Hu, Z Mu Healthcare technology letters 4 (1), 34-38, 2017 | 27 | 2017 |
| Classification of Motor Imagery EEG Signals Based on Time Frequency Analysis Z Mu, D Xiao, J Hu International Journal of Digital Content Technology and its Applications 3 …, 2009 | 25 | 2009 |
| Control method of robot detour obstacle based on eeg Q Wang, Z Mu, L Jin Neural Computing and Applications 34 (9), 6745-6752, 2022 | 13 | 2022 |
| Classifying driving fatigue by using EEG signals C Zeng, Z Mu, Q Wang Computational intelligence and neuroscience 2022, 2022 | 12 | 2022 |
| EEG authentication system based on auto-regression coefficients J Hu, Z Mu 2016 10th International Conference on Intelligent Systems and Control (ISCO …, 2016 | 11 | 2016 |
| Classification of motor imagery EEG signals based on STFTs Z Mu, D Xiao, J Hu 2009 2nd International Congress on Image and Signal Processing, 1-4, 2009 | 11 | 2009 |
| Phase locking analysis of motor imagery in brain-computer interface J Hu, Z Mu, J Wang 2008 International Conference on Biomedical Engineering and Informatics 2 …, 2008 | 11 | 2008 |
| Application of music in relief of driving fatigue based on EEG signals Q Wang, Z Mu EURASIP Journal on Advances in Signal Processing 2021, 1-15, 2021 | 10 | 2021 |
| Intelligent web information extraction model for agricultural product quality and safety system MA Tofigh, Z Mu Journal of Intelligent Systems and Internet of Things 4 (2), 99-9-110, 2021 | 8 | 2021 |
| Risk monitoring model of intelligent agriculture Internet of Things based on big data Q Wang, Z Mu Sustainable Energy Technologies and Assessments 53, 102654, 2022 | 7 | 2022 |
| Research on a driver fatigue detection model based on image processing Z Mu, L Jin, J Yin, Q Wang Human-centric Computing and Information Sciences 12, 2022 | 7 | 2022 |
| EEG identification computing based on photo stimulation Z Mu, D Jiang, J Yin International Journal of Digital Content Technology and its Applications 6 (13), 2012 | 7 | 2012 |
| Research on EEG identification computing based on photo images ZD Mu, JF Hu Advanced Materials Research 217, 1366-1371, 2011 | 7 | 2011 |
