| EEG classification of driver mental states by deep learning H Zeng, C Yang, G Dai, F Qin, J Zhang, W Kong Cognitive neurodynamics 12, 597-606, 2018 | 190 | 2018 |
| Fine-grained leukocyte classification with deep residual learning for microscopic images F Qin, N Gao, Y Peng, Z Wu, S Shen, A Grudtsin Computer methods and programs in biomedicine 162, 243-252, 2018 | 138 | 2018 |
| A deep learning approach to the classification of 3D CAD models F Qin, L Li, S Gao, X Yang, X Chen Journal of Zhejiang University SCIENCE C 15 (2), 91-106, 2014 | 96 | 2014 |
| White blood cells classification with deep convolutional neural networks M Jiang, L Cheng, F Qin, L Du, M Zhang International Journal of Pattern Recognition and Artificial Intelligence 32 …, 2018 | 58 | 2018 |
| A miR-135b-TAZ positive feedback loop promotes epithelial–mesenchymal transition (EMT) and tumorigenesis in osteosarcoma S Shen, K Huang, Y Wu, Y Ma, J Wang, F Qin, J Ma Cancer letters 407, 32-44, 2017 | 55 | 2017 |
| An ontology-based semantic retrieval approach for heterogeneous 3D CAD models F Qin, S Gao, X Yang, M Li, J Bai Advanced Engineering Informatics 30 (4), 751-768, 2016 | 55 | 2016 |
| GFIL: A unified framework for the importance analysis of features, frequency bands, and channels in EEG-based emotion recognition Y Peng, F Qin, W Kong, Y Ge, F Nie, A Cichocki IEEE Transactions on Cognitive and Developmental Systems 14 (3), 935-947, 2021 | 54 | 2021 |
| Design pattern modeling and extraction for CAD models J Bai, H Luo, F Qin Advances in Engineering Software 93, 30-43, 2016 | 35 | 2016 |
| A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification Y Peng, Q Li, W Kong, F Qin, J Zhang, A Cichocki Applied Soft Computing 97, 106756, 2020 | 34 | 2020 |
| Dual attention-based method for occluded person re-identification Y Xu, L Zhao, F Qin Knowledge-Based Systems 212, 106554, 2021 | 30 | 2021 |
| 3D CAD model retrieval based on sketch and unsupervised variational autoencoder F Qin, S Qiu, S Gao, J Bai Advanced Engineering Informatics 51, 101427, 2022 | 27 | 2022 |
| Self-weighted semi-supervised classification for joint EEG-based emotion recognition and affective activation patterns mining Y Peng, W Kong, F Qin, F Nie, J Fang, BL Lu, A Cichocki IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 26 | 2021 |
| Research on intelligent fault diagnosis of mechanical equipment based on sparse deep neural networks FW Qin, J Bai, WQ Yuan Journal of Vibroengineering 19 (4), 2439-2455, 2017 | 26 | 2017 |
| Recurrent neural network from adder’s perspective: Carry-lookahead RNN H Jiang, F Qin, J Cao, Y Peng, Y Shao Neural Networks 144, 297-306, 2021 | 25 | 2021 |
| MD-UNET: Multi-input dilated U-shape neural network for segmentation of bladder cancer R Ge, H Cai, X Yuan, F Qin, Y Huang, P Wang, L Lyu Computational Biology and Chemistry 93, 107510, 2021 | 25 | 2021 |
| Fine-grained pornographic image recognition with multiple feature fusion transfer learning X Lin, F Qin, Y Peng, Y Shao International Journal of Machine Learning and Cybernetics 12 (1), 73-86, 2021 | 23 | 2021 |
| A sketch-based semantic retrieval approach for 3D CAD models F Qin, S Gao, X Yang, J Bai, Q Zhao Applied Mathematics-A Journal of Chinese Universities 32 (1), 27-52, 2017 | 21 | 2017 |
| An approach for design rationale retrieval using ontology-aided indexing L Li, F Qin, S Gao, Y Liu Journal of Engineering Design 25 (7-9), 259-279, 2014 | 19 | 2014 |
| Lightweight real-time point cloud classification network LightPointNet B Jing, S Qinglong, Q Feiwei Journal of Computer-Aided Design & Computer Graphics 31 (4), 612-621, 2019 | 17 | 2019 |
| Joint analysis of shapes and images via deep domain adaptation Z Wu, Y Zhang, M Zeng, F Qin, Y Wang Computers & Graphics 70, 140-147, 2018 | 17 | 2018 |
Yong Peng （彭勇）IEEE Senior Member, Professor, Hangzhou Dianzi University在 hdu.edu.cn 的电子邮件经过验证
