主要论文如下:
[1] 第一作者, Do network capabilities improve corporate financial performance? Evidence from financial supply chain [J]. International Journal of Operations and Production Management, 2021, 41(4), 336-358. (ABS 4,FMS B)
[2] 第一作者, The effect of development of social good products on market value: Evidence from vaccine manufacturing enterprises. IEEE Transactions on Engineering Management, 2022, Accepted. (ABS 3,FMS A)
[3] 第一作者, Forecasting SMEs' credit risk in supply chain finance with a sampling strategy based on machine learning technique. Annals of Operations Research, 2022, Accepted. (ABS 3,FMS B)
[4] 导师一作本人二作, Tail dependence network of new energy vehicle industry in mainland China. Annals of Operations Research, 2022, Accepted. (ABS 3,FMS B)
[5] 第一作者, Director's network location and corporate environmental investment in the carbon neutrality age. Business Strategy and The Environment, 2022, Accepted. (ABS 3,FMS B)
[6] 第一作者, 基于MIDAS-SVQR的供应链金融质押物风险价值测度新方法, 中国管理科学, 2022, 已录用. (FMS T1)
[7] 通讯作者, Corporate social responsibility and firm value: Evidence from Chinese targeted poverty alleviation. Management Decision, 2022, Accepted. (ABS 2,FMS C)
[8] 通讯作者, Mixed-frequency data-driven forecasting the important economies' performance in a smart city: A novel RUMIDAS-SVR model. Industrial Management and Data Systems, 2022, Accepted. (ABS 2,FMS C)
[9] 通讯作者, Supply chain network structure and firm's R&D investments: empirical evidence from Chinese manufacturing firms[J]. European Journal of Innovation Management, 2022, Accepted. (ABS 1,FMS C)
[10] 第一作者, Exploring the dependence structure among Chinese firms in the 5G industry [J]. Industrial Management and Data Systems, 2021, 121(2), 409-435. (ABS 2,FMS C)
[11] 导师一作本人二作, A novel UMIDAS-SVQR model with mixed frequency investor sentiment for predicting stock market volatility [J]. Expert Systems with Applications , 2019, 132, 12-27. (ABS 3, FMS C)
[12] 导师一作本人二作, A novel (U) MIDAS-SVR model with multi-source market sentiment for forecasting stock returns [J]. Neural Computing and Applications , 2020, 32(10), 5875-5888. (SSCI&SCI, JCR Q1)