| A deep learning approach to patch-based image inpainting forensics X Zhu, Y Qian, X Zhao, B Sun, Y Sun Signal Processing: Image Communication 67, 90-99, 2018 | 136 | 2018 |
| Photoplethysmography-based heart rate monitoring using asymmetric least squares spectrum subtraction and bayesian decision theory B Sun, Z Zhang IEEE Sensors Journal 15 (12), 7161-7168, 2015 | 111 | 2015 |
| A deep learning framework of quantized compressed sensing for wireless neural recording B Sun, H Feng, K Chen, X Zhu IEEE Access 4, 5169-5178, 2016 | 66 | 2016 |
| Motor imagery recognition with automatic EEG channel selection and deep learning H Zhang, X Zhao, Z Wu, B Sun, T Li Journal of Neural Engineering 18 (1), 016004, 2021 | 53 | 2021 |
| EEG motor imagery classification with sparse spectrotemporal decomposition and deep learning B Sun, X Zhao, H Zhang, R Bai, T Li IEEE Transactions on Automation Science and Engineering 18 (2), 541-551, 2020 | 43 | 2020 |
| On-Chip Neural Data Compression Based On Compressed Sensing With Sparse Sensing Matrices W Zhao, B Sun, T Wu, Z Yang IEEE Transactions on Biomedical Circuits and Systems 12 (1), 242-254, 2018 | 43 | 2018 |
| Improving classification of slow cortical potential signals for BCI systems with polynomial fitting and voting support vector machine HR Hou, QH Meng, M Zeng, B Sun IEEE Signal Processing Letters 25 (2), 283-287, 2017 | 36 | 2017 |
| Three-dimensional gas distribution mapping with a micro-drone L Bing, M Qing-Hao, W Jia-Ying, S Biao, W Ying 2015 34th Chinese Control Conference (CCC), 6011-6015, 2015 | 31 | 2015 |
| Adaptive spatiotemporal graph convolutional networks for motor imagery classification B Sun, H Zhang, Z Wu, Y Zhang, T Li IEEE Signal Processing Letters 28, 219-223, 2021 | 27 | 2021 |
| Efficient compressed sensing for wireless neural recording: A deep learning approach B Sun, H Feng IEEE Signal Processing Letters 24 (6), 863-867, 2017 | 26 | 2017 |
| Deep learning-based quantitative optoacoustic tomography of deep tissues in the absence of labeled experimental data J Li, C Wang, T Chen, T Lu, S Li, B Sun, F Gao, V Ntziachristos Optica 9 (1), 32-41, 2022 | 24 | 2022 |
| An efficient ensemble method for missing value imputation in microarray gene expression data X Zhu, J Wang, B Sun, C Ren, T Yang, J Ding BMC bioinformatics 22 (1), 1-25, 2021 | 23 | 2021 |
| Golden subject is everyone: A subject transfer neural network for motor imagery-based brain computer interfaces B Sun, Z Wu, Y Hu, T Li Neural Networks 151, 111-120, 2022 | 22 | 2022 |
| Raman spectrum classification based on transfer learning by a convolutional neural network: Application to pesticide detection J Hu, Y Zou, B Sun, X Yu, Z Shang, J Huang, S Jin, P Liang Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 265, 120366, 2022 | 22 | 2022 |
| LV‐GAN: A deep learning approach for limited‐view optoacoustic imaging based on hybrid datasets T Lu, T Chen, F Gao, B Sun, V Ntziachristos, J Li Journal of Biophotonics, e2627, 2020 | 22 | 2020 |
| Training-free compressed sensing for wireless neural recording using analysis model and group weighted-minimization B Sun, W Zhao, X Zhu Journal of neural engineering 14 (3), 036018, 2017 | 22 | 2017 |
| Permuted&filtered spectrum compressive sensing B Sun, Q Chen, X Xu, Y He, J Jiang IEEE Signal Processing Letters 20 (7), 685-688, 2013 | 18 | 2013 |
| Seizure prediction in scalp EEG based channel attention dual-input convolutional neural network B Sun, JJ Lv, LG Rui, YX Yang, YG Chen, C Ma, ZK Gao Physica A: Statistical Mechanics and its Applications 584, 126376, 2021 | 15 | 2021 |
| Distributed least-squares estimation of a remote chemical source via convex combination in wireless sensor networks ML Cao, QH Meng, M Zeng, B Sun, W Li, CJ Ding Sensors 14 (7), 11444-11466, 2014 | 15 | 2014 |
| Design of a portable electronic nose for real-fake detection of liquors PF Qi, M Zeng, ZH Li, B Sun, QH Meng Review of Scientific Instruments 88 (9), 2017 | 14 | 2017 |
Qing-Hao Meng or Qinghao Meng or...Tianjin UniversityVerified email at tju.edu.cn
