| Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model J Hu, J Min Cognitive neurodynamics 12, 431-440, 2018 | 132 | 2018 |
| Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system J Min, P Wang, J Hu PLoS one 12 (12), e0188756, 2017 | 115 | 2017 |
| Driver fatigue detection system using electroencephalography signals based on combined entropy features Z Mu, J Hu, J Min Applied Sciences 7 (2), 150, 2017 | 108 | 2017 |
| Comparison of different features and classifiers for driver fatigue detection based on a single EEG channel J Hu Computational and mathematical methods in medicine 2017, 2017 | 94 | 2017 |
| Real‐time eye tracking for the assessment of driver fatigue J Xu, J Min, J Hu Healthcare technology letters 5 (2), 54-58, 2018 | 89 | 2018 |
| Automated detection of driver fatigue based on AdaBoost classifier with EEG signals J Hu Frontiers in computational neuroscience 11, 72, 2017 | 88 | 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 | 67 | 2017 |
| New biometric approach based on motor imagery EEG signals J Hu 2009 International Conference on Future BioMedical Information Engineering …, 2009 | 52 | 2009 |
| Method of individual identification based on electroencephalogram analysis X Bao, J Wang, J Hu 2009 international conference on new trends in information and service …, 2009 | 50 | 2009 |
| 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 |
| An approach to EEG-based gender recognition using entropy measurement methods J Hu Knowledge-Based Systems 140, 134-141, 2018 | 48 | 2018 |
| First-principles study the phase stability and mechanical properties of binary W-Mo alloys D Jiang, Q Zhou, L Xue, T Wang, J Hu Fusion Engineering and Design 130, 56-61, 2018 | 43 | 2018 |
| Design and application of brain-computer interface web browser based on VEP J Yin, D Jiang, J Hu 2009 International Conference on Future BioMedical Information Engineering …, 2009 | 39 | 2009 |
| Ensemble classifier for driver's fatigue detection based on a single EEG channel P Wang, J Min, J Hu IET Intelligent Transport Systems 12 (10), 1322-1328, 2018 | 38 | 2018 |
| Classification of motor imagery EEG signals based on energy entropy D Xiao, Z Mu, J Hu 2009 International Symposium on Intelligent Ubiquitous Computing and …, 2009 | 38 | 2009 |
| Biometric system based on EEG signals by feature combination J Hu 2010 International Conference on Measuring Technology and Mechatronics …, 2010 | 35 | 2010 |
| 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 |
| A hybrid model for EEG-based gender recognition P Wang, J Hu Cognitive neurodynamics 13 (6), 541-554, 2019 | 29 | 2019 |
| Research of EEG identification computing based on AR model Z Mu, J Hu 2009 international conference on future biomedical information engineering …, 2009 | 29 | 2009 |
Shiyong HuangUniversity of Maryland, College ParkVerified email at umd.edu
