| 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 | 430 | 2021 |
| Classification of motor imagery EEG signals with support vector machines and particle swarm optimization Y Ma, X Ding, Q She, Z Luo, T Potter, Y Zhang Computational and mathematical methods in medicine 2016 (1), 4941235, 2016 | 129 | 2016 |
| Driving fatigue detection from EEG using a modified PCANet method Y Ma, B Chen, R Li, C Wang, J Wang, Q She, Z Luo, Y Zhang Computational intelligence and neuroscience 2019 (1), 4721863, 2019 | 96 | 2019 |
| A hierarchical semi-supervised extreme learning machine method for EEG recognition Q She, B Hu, Z Luo, T Nguyen, Y Zhang Medical & biological engineering & computing 57, 147-157, 2019 | 77 | 2019 |
| EMG signals based gait phases recognition using hidden Markov models M Meng, Q She, Y Gao, Z Luo The 2010 IEEE international conference on information and automation, 852-856, 2010 | 75 | 2010 |
| Improved domain adaptation network based on Wasserstein distance for motor imagery EEG classification Q She, T Chen, F Fang, J Zhang, Y Gao, Y Zhang IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 1137-1148, 2023 | 62 | 2023 |
| Research on air pollutant concentration prediction method based on self-adaptive neuro-fuzzy weighted extreme learning machine Y Li, P Jiang, Q She, G Lin Environmental Pollution 241, 1115-1127, 2018 | 58 | 2018 |
| Multisource associate domain adaptation for cross-subject and cross-session EEG emotion recognition Q She, C Zhang, F Fang, Y Ma, Y Zhang IEEE Transactions on Instrumentation and Measurement 72, 1-12, 2023 | 51 | 2023 |
| Finite-time stability analysis of discrete-time fuzzy Hopfield neural network J Bai, R Lu, A Xue, Q She, Z Shi Neurocomputing 159, 263-267, 2015 | 45 | 2015 |
| Motor imagery EEG decoding using manifold embedded transfer learning Y Cai, Q She, J Ji, Y Ma, J Zhang, Y Zhang Journal of Neuroscience Methods 370, 109489, 2022 | 39 | 2022 |
| Sparse Representation‐Based Extreme Learning Machine for Motor Imagery EEG Classification Q She, K Chen, Y Ma, T Nguyen, Y Zhang Computational intelligence and neuroscience 2018 (1), 9593682, 2018 | 38 | 2018 |
| Multi-source manifold feature transfer learning with domain selection for brain-computer interfaces Q She, Y Cai, S Du, Y Chen Neurocomputing 514, 313-327, 2022 | 35 | 2022 |
| Cross-subject EEG emotion recognition using multi-source domain manifold feature selection Q She, X Shi, F Fang, Y Ma, Y Zhang Computers in Biology and Medicine 159, 106860, 2023 | 32 | 2023 |
| Safe semi-supervised extreme learning machine for EEG signal classification Q She, B Hu, H Gan, Y Fan, T Nguyen, T Potter, Y Zhang IEEE Access 6, 49399-49407, 2018 | 31 | 2018 |
| Automatic recognition of gait mode from EMG signals of lower limb M Meng, Z Luo, Q She, Y Ma 2010 The 2nd International Conference on Industrial Mechatronics and …, 2010 | 29 | 2010 |
| Multiple kernel learning SVM-based EMG pattern classification for lower limb control Q She, Z Luo, M Meng, P Xu 2010 11th International Conference on Control Automation Robotics & Vision …, 2010 | 27 | 2010 |
| Cross-subject emotion recognition based on domain similarity of EEG signal transfer learning Y Ma, W Zhao, M Meng, Q Zhang, Q She, J Zhang IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 936-943, 2023 | 25 | 2023 |
| Pulmonary nodule detection based on IR-UNet++ J Lin, Q She, Y Chen Medical & Biological Engineering & Computing 61 (2), 485-495, 2023 | 23 | 2023 |
| Multiclass posterior probability twin SVM for motor imagery EEG classification Q She, Y Ma, M Meng, Z Luo Computational Intelligence and Neuroscience 2015 (1), 251945, 2015 | 23 | 2015 |
| Denoising of surface electromyogram based on complementary ensemble empirical mode decomposition and improved interval thresholding X Xi, Y Zhang, Y Zhao, Q She, Z Luo Review of Scientific Instruments 90 (3), 2019 | 21 | 2019 |
Yingchun ZhangProfessor in Biomedical Engineering, University of MiamiE-mail megerősítve itt: miami.edu