| A generalized method for forecasting based on fuzzy time series W Qiu, X Liu, H Li Expert Systems with Applications 38 (8), 10446-10453, 2011 | 122 | 2011 |
| Multivariate time series clustering based on common principal component analysis H Li Neurocomputing 349, 239-247, 2019 | 104 | 2019 |
| Accurate and efficient classification based on common principal components analysis for multivariate time series H Li Neurocomputing 171, 744-753, 2016 | 88 | 2016 |
| Time works well: Dynamic time warping based on time weighting for time series data mining H Li Information Sciences 547, 592-608, 2021 | 77 | 2021 |
| An improved piecewise aggregate approximation based on statistical features for time series mining C Guo, H Li, D Pan Knowledge Science, Engineering and Management: 4th International Conference …, 2010 | 65 | 2010 |
| On-line and dynamic time warping for time series data mining H Li International Journal of Machine Learning and Cybernetics 6, 145-153, 2015 | 58 | 2015 |
| Similarity measurement between normal cloud models HL Li, CH Guo, WR Qiu Dianzi Xuebao(Acta Electronica Sinica) 39 (11), 2561-2567, 2011 | 58 | 2011 |
| Piecewise cloud approximation for time series mining H Li, C Guo Knowledge-Based Systems 24 (4), 492-500, 2011 | 56 | 2011 |
| Similarity measure based on piecewise linear approximation and derivative dynamic time warping for time series mining H Li, C Guo, W Qiu Expert Systems with Applications 38 (12), 14732-14743, 2011 | 52 | 2011 |
| Fuzzy clustering based on feature weights for multivariate time series H Li, M Wei Knowledge-Based Systems 197, 105907, 2020 | 50 | 2020 |
| Survey of feature representations and similarity measurements in ime series data mining HL Li, CH Guo Jisuanji Yingyong Yanjiu 30 (5), 1285-1291, 2013 | 38 | 2013 |
| Asynchronism-based principal component analysis for time series data mining H Li Expert systems with applications 41 (6), 2842-2850, 2014 | 35 | 2014 |
| Review on dynamic time warping in time series data mining HL Li, Y Liang, SC Wang Control and Decision 33 (8), 1345-1353, 2018 | 34 | 2018 |
| Multivariate time series clustering based on complex network H Li, Z Liu Pattern Recognition 115, 107919, 2021 | 32 | 2021 |
| Time is money: Dynamic-model-based time series data-mining for correlation analysis of commodity sales H Li, YJ Wu, Y Chen Journal of Computational and Applied Mathematics 370, 112659, 2020 | 30 | 2020 |
| Similarity measure based on incremental warping window for time series data mining H Li, C Wang IEEE access 7, 3909-3917, 2018 | 22 | 2018 |
| Piecewise aggregate representations and lower-bound distance functions for multivariate time series H Li Physica A: Statistical Mechanics and its Applications 427, 10-25, 2015 | 22 | 2015 |
| Piecewise aggregate approximation method based on cloud model for time series HL Li, CH Guo Control and Decision 26 (10), 1525-1529, 2011 | 22 | 2011 |
| Impact of enterprise digitalization on green innovation performance under the perspective of production and operation H Li, H Tang, W Zhou, X Wan Frontiers in public health 10, 971971, 2022 | 17 | 2022 |
| Multivariate time-series clustering based on component relationship networks H Li, T Du Expert Systems with Applications 173, 114649, 2021 | 17 | 2021 |
