| A fast shapelet selection algorithm for time series classification C Ji, C Zhao, S Liu, C Yang, L Pan, L Wu, X Meng Computer networks 148, 231-240, 2019 | 82 | 2019 |
| Device data ingestion for industrial big data platforms with a case study C Ji, Q Shao, J Sun, S Liu, L Pan, L Wu, C Yang Sensors 16 (3), 279, 2016 | 65 | 2016 |
| XG-SF: An XGBoost classifier based on shapelet features for time series classification C Ji, X Zou, Y Hu, S Liu, L Lyu, X Zheng Procedia computer science 147, 24-28, 2019 | 41 | 2019 |
| A shapelet selection algorithm for time series classification: New directions C Ji, S Liu, C Yang, L Pan, L Wu, X Meng Procedia Computer Science 129, 461-467, 2018 | 30 | 2018 |
| Time series classification based on temporal features C Ji, M Du, Y Hu, S Liu, L Pan, X Zheng Applied Soft Computing 128, 109494, 2022 | 29 | 2022 |
| A fast shapelet discovery algorithm based on important data points C Ji, C Zhao, L Pan, S Liu, C Yang, L Wu International Journal of Web Services Research (IJWSR) 14 (2), 67-80, 2017 | 29 | 2017 |
| A piecewise linear representation method based on importance data points for time series data C Ji, S Liu, C Yang, L Wu, L Pan, X Meng 2016 IEEE 20th International Conference on Computer Supported Cooperative …, 2016 | 29 | 2016 |
| Multi-feature based network for multivariate time series classification M Du, Y Wei, X Zheng, C Ji Information Sciences, 2023 | 25 | 2023 |
| Ibdp: An industrial big data ingestion and analysis platform and case studies C Ji, S Liu, C Yang, L Wu, L Pan 2015 International Conference on Identification, Information, and Knowledge …, 2015 | 25 | 2015 |
| A just-in-time shapelet selection service for online time series classification C Ji, C Zhao, L Pan, S Liu, C Yang, X Meng Computer Networks 157, 89-98, 2019 | 23 | 2019 |
| Fully convolutional networks with shapelet features for time series classification C Ji, Y Hu, S Liu, L Pan, B Li, X Zheng Information Sciences 612, 835-847, 2022 | 21 | 2022 |
| Disease prediction model based on bilstm and attention mechanism Y Yang, X Zheng, C Ji 2019 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2019 | 20 | 2019 |
| A novel consciousness emotion recognition method using ERP components and MMSE X Zheng, M Zhang, T Li, C Ji, B Hu Journal of Neural Engineering, 2021 | 18 | 2021 |
| ADARC: An anomaly detection algorithm based on relative outlier distance and biseries correlation C Ji, X Zou, S Liu, L Pan Software: Practice and Experience 50 (11), 2065-2081, 2020 | 17 | 2020 |
| A novel multi-resolution representation for time series sensor data analysis Y Hu, C Ji, Q Zhang, L Chen, P Zhan, X Li Soft Computing 24 (14), 10535-10560, 2020 | 17 | 2020 |
| A continuous segmentation algorithm for streaming time series Y Hu, C Ji, M Jing, Y Ding, S Kuai, X Li Collaborate Computing: Networking, Applications and Worksharing: 12th …, 2017 | 17 | 2017 |
| Efficient snapshot KNN join processing for large data using mapreduce Y Hu, C Yang, C Ji, Y Xu, X Li 2016 IEEE 22nd International Conference on Parallel and Distributed Systems …, 2016 | 17 | 2016 |
| Edge user allocation by FOA in edge computing environment T Li, W Niu, C Ji Journal of Computational Science 53, 101390, 2021 | 16 | 2021 |
| Edge computing application: real-time anomaly detection algorithm for sensing data Q Zhang, Y Hu, C Ji, P Zhan, X Li Journal of Computer Research and Development 55 (3), 524-536, 2018 | 15 | 2018 |
| Edge computing application: real-time anomaly detection algorithm for sensing data Z Qi, H Yupeng, J Cun, Z Peng, L Xueqing J. Comput. Res. Develop 55 (3), 524-536, 2018 | 13 | 2018 |
Xiangwei ZhengShandong Normal UniversityVerified email at sdnu.edu.cn