| 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 | 209 | 2018 |
| EEG-based emotion recognition using 4D convolutional recurrent neural network F Shen, G Dai, G Lin, J Zhang, W Kong, H Zeng Cognitive Neurodynamics 14, 815-828, 2020 | 173 | 2020 |
| ComplexContact: a web server for inter-protein contact prediction using deep learning H Zeng, S Wang, T Zhou, F Zhao, X Li, Q Wu, J Xu Nucleic acids research 46 (W1), W432-W437, 2018 | 144 | 2018 |
| A LightGBM‐based EEG analysis method for driver mental states classification H Zeng, C Yang, H Zhang, Z Wu, J Zhang, G Dai, F Babiloni, W Kong Computational intelligence and neuroscience 2019 (1), 3761203, 2019 | 128 | 2019 |
| EEG emotion classification using an improved SincNet-based deep learning model H Zeng, Z Wu, J Zhang, C Yang, H Zhang, G Dai, W Kong Brain sciences 9 (11), 326, 2019 | 82 | 2019 |
| An EEG-based transfer learning method for cross-subject fatigue mental state prediction H Zeng, X Li, G Borghini, Y Zhao, P Aricò, G Di Flumeri, N Sciaraffa, ... Sensors 21 (7), 2369, 2021 | 53 | 2021 |
| Fuzzy control of LED tunnel lighting and energy conservation H Zeng, J Qiu, X Shen, G Dai, P Liu, S Le Tsinghua science & technology 16 (6), 576-582, 2011 | 49 | 2011 |
| Siam-GCAN: A Siamese graph convolutional attention network for EEG emotion recognition H Zeng, Q Wu, Y Jin, H Zheng, M Li, Y Zhao, H Hu, W Kong IEEE Transactions on Instrumentation and Measurement 71, 1-9, 2022 | 36 | 2022 |
| EESCN: A novel spiking neural network method for EEG-based emotion recognition FF Xu, D Pan, H Zheng, Y Ouyang, Z Jia, H Zeng Computer methods and programs in biomedicine 243, 107927, 2024 | 30 | 2024 |
| MSFR-GCN: A multi-scale feature reconstruction graph convolutional network for EEG emotion and cognition recognition D Pan, H Zheng, F Xu, Y Ouyang, Z Jia, C Wang, H Zeng IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 | 28 | 2023 |
| InstanceEasyTL: An improved transfer-learning method for EEG-based cross-subject fatigue detection H Zeng, J Zhang, W Zakaria, F Babiloni, B Gianluca, X Li, W Kong Sensors 20 (24), 7251, 2020 | 26 | 2020 |
| Weighted extreme learning machine for P300 detection with application to brain computer interface W Kong, S Guo, Y Long, Y Peng, H Zeng, X Zhang, J Zhang Journal of Ambient Intelligence and Humanized Computing, 1-11, 2023 | 25 | 2023 |
| EEG-based index for timely detecting user’s drowsiness occurrence in automotive applications G Di Flumeri, V Ronca, A Giorgi, A Vozzi, P Aricò, N Sciaraffa, H Zeng, ... Frontiers in Human Neuroscience 16, 866118, 2022 | 23 | 2022 |
| A Novel Nonlinear Dynamic Method for Stroke Rehabilitation Effect Evaluation Using EEG WL Zeng Hong, Dai Guojun, Kong Wanzeng, Chen Fangyue IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (12 …, 2017 | 21 | 2017 |
| DM-RE2I: A framework based on diffusion model for the reconstruction from EEG to image H Zeng, N Xia, D Qian, M Hattori, C Wang, W Kong Biomedical Signal Processing and Control 86, 105125, 2023 | 17 | 2023 |
| Label-based alignment multi-source domain adaptation for cross-subject EEG fatigue mental state evaluation Y Zhao, G Dai, G Borghini, J Zhang, X Li, Z Zhang, P Aricò, G Di Flumeri, ... Frontiers in Human Neuroscience 15, 706270, 2021 | 14 | 2021 |
| DCAE: A dual conditional autoencoder framework for the reconstruction from EEG into image H Zeng, N Xia, M Tao, D Pan, H Zheng, C Wang, F Xu, W Zakaria, G Dai Biomedical Signal Processing and Control 81, 104440, 2023 | 12 | 2023 |
| A web-based protocol for interprotein contact prediction by deep learning X Jing, H Zeng, S Wang, J Xu Protein-Protein Interaction Networks: Methods and Protocols, 67-80, 2020 | 12 | 2020 |
| EMCI: a novel EEG-based mental workload assessment index of mild cognitive impairment H Zeng, X Fang, Y Zhao, J Wu, M Li, H Zheng, F Xu, D Pan, G Dai IEEE Transactions on Biomedical Circuits and Systems 16 (5), 902-914, 2022 | 11 | 2022 |
| EEG-FCV: an EEG-based functional connectivity visualization framework for cognitive state evaluation H Zeng, Y Jin, Q Wu, D Pan, F Xu, Y Zhao, H Hu, W Kong Frontiers in Psychiatry 13, 928781, 2022 | 10 | 2022 |
wanzeng kongProf. College of Computer Science, Hangzhou Dianzi UniversityVerified email at hdu.edu.cn