| Multi-class arrhythmia detection from 12-lead varied-length ECG using attention-based time-incremental convolutional neural network Q Yao, R Wang, X Fan, J Liu, Y Li Information Fusion 53, 174-182, 2020 | 437 | 2020 |
| Multiscaled fusion of deep convolutional neural networks for screening atrial fibrillation from single lead short ECG recordings X Fan, Q Yao, Y Cai, F Miao, F Sun, Y Li IEEE journal of biomedical and health informatics 22 (6), 1744-1753, 2018 | 319 | 2018 |
| Toward ubiquitous healthcare services with a novel efficient cloud platform C He, X Fan, Y Li IEEE Transactions on biomedical engineering 60 (1), 230-234, 2012 | 244 | 2012 |
| Accelerometer-based speed-adaptive gait authentication method for wearable IoT devices F Sun, C Mao, X Fan, Y Li IEEE Internet of Things Journal 6 (1), 820-830, 2018 | 121 | 2018 |
| Predictive modeling of hospital mortality for patients with heart failure by using an improved random survival forest F Miao, YP Cai, YX Zhang, XM Fan, Y Li Ieee Access 6, 7244-7253, 2018 | 93 | 2018 |
| Time-incremental convolutional neural network for arrhythmia detection in varied-length electrocardiogram Q Yao, X Fan, Y Cai, R Wang, L Yin, Y Li 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th …, 2018 | 41 | 2018 |
| Homecare-oriented Intelligent Long-term Monitoring of Blood Pressure Using Electrocardiogram Signals X Fan, H Wang, F Xu, Y Zhao, KL Tsui IEEE Transactions on Industrial Informatics, 2019 | 38 | 2019 |
| Extracting a degradation curve for roller bearings by using a moving-average stacked auto-encoder and a novel exponent function with a slope local minimum point model to … KL Xu, Fan and Yang, Fangfang and Fan, Xiaomao and Huang, Zhelin and Tsui Measurement, 2019 | 34* | 2019 |
| Multi-class arrhythmia detection based on neural network with multi-stage features fusion R Wang, Q Yao, X Fan, Y Li 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 34 | 2019 |
| A novel hybrid network of fusing rhythmic and morphological features for atrial fibrillation detection on mobile ECG signals X Fan, Z Hu, R Wang, L Yin, Y Li, Y Cai Neural Computing and Applications, 1-13, 2019 | 28 | 2019 |
| MVF-SleepNet: Multi-view fusion network for sleep stage classification Y Li, J Chen, W Ma, G Zhao, X Fan IEEE Journal of Biomedical and Health Informatics, 2022 | 23 | 2022 |
| Toward sleep apnea detection with lightweight multi-scaled fusion network X Chen, Y Chen, W Ma, X Fan, Y Li Knowledge-Based Systems 247, 108783, 2022 | 23 | 2022 |
| RAFNet: Restricted attention fusion network for sleep apnea detection Y Chen, H Yue, R Zou, W Lei, W Ma, X Fan Neural Networks 162, 571-580, 2023 | 20 | 2023 |
| A novel EEG-based major depressive disorder detection framework with two-stage feature selection Y Li, Y Shen, X Fan, X Huang, H Yu, G Zhao, W Ma BMC medical informatics and decision making 22 (1), 209, 2022 | 19 | 2022 |
| BAFNet: Bottleneck attention based fusion network for sleep apnea detection X Fan, X Chen, W Ma, W Gao IEEE Journal of Biomedical and Health Informatics 28 (5), 2473-2484, 2023 | 17 | 2023 |
| An adaptive weight learning-based multitask deep network for continuous blood pressure estimation using electrocardiogram signals X Fan, H Wang, Y Zhao, Y Li, KL Tsui Sensors 21 (5), 1595, 2021 | 17 | 2021 |
| SE-MSCNN: a lightweight multi-scaled fusion network for sleep apnea detection using single-lead ECG signals X Chen, Y Chen, W Ma, X Fan, Y Li 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 16 | 2021 |
| Forecasting one-day-forward wellness conditions for community-dwelling elderly with single lead short electrocardiogram signals X Fan, Y Zhao, H Wang, KL Tsui BMC medical informatics and decision making 19, 1-14, 2019 | 16 | 2019 |
| Research and application of deep learning-based sleep staging: Data, modeling, validation, and clinical practice H Yue, Z Chen, W Guo, L Sun, Y Dai, Y Wang, W Ma, X Fan, W Wen, ... Sleep Medicine Reviews, 101897, 2024 | 15 | 2024 |
| Automatic fall risk assessment with Siamese network for stroke survivors using inertial sensor‐based signals X Fan, H Wang, Y Zhao, KH Huang, YT Wu, TL Sun, KL Tsui International journal of intelligent systems 37 (9), 6168-6184, 2022 | 14 | 2022 |
Ye LiProfessor, Shenzhen Institutes of Advanced Technology, Chinese Academy of SciencesZweryfikowany adres z siat.ac.cn