A novel UMIDAS-SVQR model with mixed frequency investor sentiment for predicting stock market volatility. - Qifa Xu; Liukai Wang; Cuixia Jiang; Xin Zhang (Expert Syst. Appl., 2019)

A novel (U)MIDAS-SVR model with multi-source market sentiment for forecasting stock returns. - Qifa Xu; Liukai Wang; Cuixia Jiang; Yezheng Liu 001 (Neural Comput. Appl., 2020)

Exploring the dependence structure among Chinese firms in the 5G industry. - Liukai Wang; Fu Jia; Lujie Chen; Qifa Xu; Xiao Lin (Ind. Manag. Data Syst., 2021)

Tail dependence network of new energy vehicle industry in mainland China. - Qifa Xu; Liukai Wang; Cuixia Jiang; Fu Jia; Lujie Chen (Ann. Oper. Res., 2022)

Mixed-frequency data-driven forecasting the important economies' performance in a smart city: a novel RUMIDAS-SVR model. - Weiqing Wang; Zengbin Zhang; Liukai Wang; Xiaobo Zhang; Zhenyu Zhang (Ind. Manag. Data Syst., 2022)

Forecasting SMEs' credit risk in supply chain finance with a sampling strategy based on machine learning techniques. - Liukai Wang; Fu Jia; Lujie Chen; Qifa Xu (Ann. Oper. Res., 2023)

Pursuing supply chain ecosystem health under environmental turbulence: a supply chain learning approach. - Liukai Wang; Xinyi Kong; Weiqing Wang; Yu Gong (Int. J. Prod. Res., 2024)

The Effect of Development of Social Good Products on Market Value: Evidence From Vaccine Manufacturing Enterprises. - Liukai Wang; Fu Jia; Lujie Chen; Qifa Xu (IEEE Trans. Engineering Management, 2024)

Mixed frequency data and portfolio selection: A novel approach integrating DEA with mixed frequency data sources. - Weiqing Wang; Shuhao Liang; Liukai Wang; Yu Xiong (Ann. Oper. Res., 2025)