[1]Ling Wang，Peng Shen. Memetic segmentation based on variable lag aware for multivariate time series[J]. Information Sciences, 2024,657(120003).（中科院SCI一区）

[2]Ling Wang, Peipei Xu, Qian Ma. Incremental fuzzy clustering of time series [J].Fuzzy Sets and Systems, 2021,421:62-76.（中科院SCI一区）

[3]王玲，李泽中.基于FastICA和G-G聚类的多元时序自适应分段[J].电子学报,2023,51(5):1235-1244.

[4]王玲，李泽中.基于多元时间序列的自适应贪婪高斯分段算法[J].控制与决策，2024,39(2):568-576.

[5]Ling Wang，Hui Zhu，JianYao Meng，Wei He. Incremental local distribution-based clustering using bayesian adaptive resonance theory[J].IEEE Transactions on Neural Networks and Learning Systems, 2019,30(11):3496-3504.（中科院SCI一区）

[6]Ling Wang，Kang Li，Qian Ma，YanRong Lu. Hybrid dynamic learning mechanism for multivariate time series segmentation[J]. Statistical Analysis and Data Mining, 2020,13:165-177.（中科院SCI三区）

[7]王玲,周南,申鹏.基于自适应k近邻的时间序列异常模式识别[J].计算机研究与发展, 2023,60(1):125-139.

[8]Ling Wang, Lingpeng Gui, Hui Zhu. Incremental fuzzy temporal association rule mining using fuzzy grid table [J]. Applied Intelligence, 2022,52(2):1389-1405. （中科院SCI二区）

[9]Ling Wang, Lingpeng Gui, Peipei Xu. Incremental sequential patterns for multivariate temporal association rules mining [J].Expert Systems With Applications, 2022,207(118020).（中科院SCI一区）

[10]Ling Wang, Jiaoyao Meng, Ruixia Huang, Hui Zhu, Kaixiang Peng. Incremental feature weighting for fuzzy feature selection[J]. Fuzzy Sets and Systems, 2019,368:1-19.（中科院SCI一区）