| Deep neural networks-based rolling bearing fault diagnosis Z Chen, S Deng, X Chen, C Li, RV Sanchez, H Qin Microelectronics Reliability 75, 327-333, 2017 | 259 | 2017 |
| Deep representation-based feature extraction and recovering for finger-vein verification H Qin, MA El-Yacoubi IEEE Transactions on Information Forensics and Security 12 (8), 1816-1829, 2017 | 236 | 2017 |
| Finger-vein image recognition combining modified hausdorff distance with minutiae feature matching CB Yu, HF Qin, YZ Cui, XQ Hu Interdisciplinary Sciences: Computational Life Sciences 1, 280-289, 2009 | 191 | 2009 |
| Region growth–based feature extraction method for finger-vein recognition H Qin, L Qin, C Yu Optical Engineering 50 (5), 057208-057208-8, 2011 | 93 | 2011 |
| Deep representation for finger-vein image-quality assessment H Qin, MA El-Yacoubi IEEE Transactions on Circuits and Systems for Video Technology 28 (8), 1677-1693, 2017 | 87 | 2017 |
| Finger-vein verification based on the curvature in Radon space H Qin, X He, X Yao, H Li Expert Systems with Applications 82, 151-161, 2017 | 78 | 2017 |
| Finger-vein verification based on multi-features fusion H Qin, L Qin, L Xue, X He, C Yu, X Liang Sensors 13 (11), 15048-15067, 2013 | 68 | 2013 |
| Multi-scale and multi-direction GAN for CNN-based single palm-vein identification H Qin, MA El-Yacoubi, Y Li, C Liu IEEE Transactions on Information Forensics and Security 16, 2652-2666, 2021 | 54 | 2021 |
| An iterative deep neural network for hand-vein verification H Qin, MA El Yacoubi, J Lin, B Liu IEEE Access 7, 34823-34837, 2019 | 51 | 2019 |
| Finger-vein quality assessment by representation learning from binary images H Qin, MA El-Yacoubi Neural Information Processing: 22nd International Conference, ICONIP 2015 …, 2015 | 34 | 2015 |
| Vibration-based gearbox fault diagnosis using deep neural networks Z Chen, X Chen, C Li, RV Sanchez, H Qin Journal of Vibroengineering 19 (4), 2475-2496, 2017 | 31 | 2017 |
| Finger-vein verification based on LSTM recurrent neural networks H Qin, P Wang Applied Sciences 9 (8), 1687, 2019 | 29 | 2019 |
| Quality assessment of finger-vein image H Qin, S Li, AC Kot, L Qin Proceedings of the 2012 Asia Pacific signal and information processing …, 2012 | 25 | 2012 |
| Gabor-based weighted region covariance matrix for face recognition HF Qin, L Qin, L Xue, CB Yu Electronics letters 48 (16), 992-993, 2012 | 22 | 2012 |
| Local attention transformer-based full-view finger-vein identification H Qin, R Hu, MA El-Yacoubi, Y Li, X Gao IEEE Transactions on Circuits and Systems for Video Technology 33 (6), 2767-2782, 2022 | 19 | 2022 |
| Normal force of magnetorheological fluids with foam metal under oscillatory shear modes X Yao, C Liu, H Liang, H Qin, Q Yu, C Li Journal of Magnetism and Magnetic Materials 403, 161-166, 2016 | 18 | 2016 |
| A parallel recurrence method for the fast computation of Zernike moments H Qin, L Qin, L Xue, C Yu Applied Mathematics and Computation 219 (4), 1549-1561, 2012 | 18 | 2012 |
| A kernel Gabor-based weighted region covariance matrix for face recognition H Qin, L Qin, L Xue, Y Li Sensors 12 (6), 7410-7422, 2012 | 17 | 2012 |
| Adaptive deep feature fusion for continuous authentication with data augmentation Y Li, L Liu, H Qin, S Deng, MA El-Yacoubi, G Zhou IEEE Transactions on Mobile Computing 22 (10), 5690-5705, 2022 | 14 | 2022 |
| Finger-vein quality assessment based on deep features from grayscale and binary images H Qin, MA El-Yacoubi International Journal of Pattern Recognition and Artificial Intelligence 33 …, 2019 | 14 | 2019 |
Mounim A. El YacoubiInstitut Mines Telecom / Institut Polytechnique de Paris在 telecom-sudparis.eu 的电子邮件经过验证
