系别：金融工程系
职称：副教授
职务：系副主任
地址：1209室
Email：Wangliukai1@ustb.edu.cn liukai_w@163.com
汪刘凯，博士，硕士研究生导师、副教授，曾获安徽省优秀博士论文、北京科技大学优秀博士后、新葡的京集团350vip“科研青年奖”、“优秀本科生导师”等。主要从事金融科技、风险管理、可持续运营领域研究。主持国家自然科学基金等科研项目10余项，先后发表学术论文40余篇、其中20余篇为学院认定的A类期刊。担任Transportation Research Part E、Journal of Business Logistics、Resources Conservation and Recycling、Journal of Computer Information Systems、Cogent Business & Management等期刊的客座编辑、副主编和编委，同时担任《管理科学学报》、IJOPM、IJPE、IJPR、TRE、Omega、IJFE、IRFA、IEEE TEM、ANOR、IMM、JBR、JBE、BSE等20余本期刊审稿人。
2017.09-2021.06 合肥工业大学 管理学博士
2019.09-2021.04 英国约克大学 博士研究生联合培养
[1] 产业数字化背景下供应链金融生态系统的多维风险治理研究, 国家自然科学基金青年项目, 2024.01-2026.12 (主持)
[2] 数字化背景下供应链金融模式升级与风险管理研究, 中国博士后科学基金, 2021.11-2023.10 (主持)
[3] “双碳”背景下可持续供应链金融模式创新及其风险治理研究, 中国科协科技智库青年项目, 2022.07-2022.12 (主持)
[4] ESG视角下创新生态系统韧性研究, 中国科协科技智库青年项目, 2024.07-2024.12 (主持)
[5] 可持续供应链金融的驱动机制与经济后果研究, 中央高校基本科研业务费资助项目, 2022.11-2024.10 (主持)
[6] 多层耦合网络视角下系统性金融风险研究, 精品文科项目, 2023.10- 2024.09 (主持)
[7] 异构高维混频数据预测性建模方法及其在金融科技领域应用研究, 精品文科项目, 2025.06-2026.06 (主持)
[8] 基于可解释机器学习的区块链金融产品的欺诈风险研究, 企事业单位委托项目, 2024.01-2026.12 (主持)
[9] 多模态数据驱动的供应链金融风险治理研究, 企事业单位委托项目, 2025.01-2026.12 (主持)
[10] 零售企业供应链金融风险管理方案设计与算法开发研究, 企事业单位委托项目, 2025.04-2027.06 (主持)
[1] 安徽省优秀博士论文, 2022年
[2] 安徽省优秀毕业生, 2021、2014年
[3] 北京科技大学优秀博士后, 2024年
[4] 北京科技大学博士后出站考核"特优", 2023年
[5] 新葡的京集团350vip"科研工作青年奖", 2022、2023年
[6] 新葡的京集团350vip"优秀本科生导师", 2023年
[7] 全国大学生统计建模大赛学科竞赛优秀指导教师, 2022年
[1] 汪刘凯, 张小波 (2025). 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, 33(3),80-92.
[2] Wang L., Li T*., Meng X. (2025). Closer cooperates, more greenly disclosures? The impact of supplier concentration on climate change disclosure performance. International Journal of Finance and Economics, 1-20. (ABS 3)
[3] Wang, L., Wang, L., Xiong, Y. (2025). Financial constraints under carbon emissions trading: A quasi-natural experiment approach. International Journal of Production Research, 1-15. (ABS 3)
[4] Wang L., Xu Y., Jia F. (2025). Financial stability of suppliers or customers and focal firm’s financial performance: The role of financial flexibility of and financial dependency on suppliers or customers. Production Planning & Control, Accepted. (ABS 3)
[5] Xu, Y., Wang, L*., Wang, J. (2025). Power dynamics and financial flexibility: Insights from Chinese supply chain dyads. International Journal of Production Economics, 109797. (ABS 3)
[6] Lan, H., Wang, L*., Ning, Y. (2025). A novel DTW-TMFG network analysis of emerging blockchain market in China. International Journal of Finance & Economics, 1-19.(ABS 3)
[7] Wang, W., Chen, Y., Wang, L*. (2025). Developing the value of legal judgments of supply chain finance for credit risk prediction through novel ACWGAN-GPSA approach. Transportation Research Part E: Logistics and Transportation Review, 196, 104020.(ABS 3)
[8] Wang, W., Liang, S., Wang, L*. (2025). Mixed frequency data and portfolio selection: A novel approach integrating DEA with mixed frequency data sources. Annals of Operations Research, 347, 1533-1565. (ABS 3)
[9] Wang, W., Liang, J., Wang, L*. (2025). Identifying ICO scam risk with PU learning based on features engineering of venture capital. Annals of Operations Research, 1-37. (ABS 3)
[10] 王未卿, 李雨晴, 汪刘凯* (2025). 基于高维混频D-Vine Copula的投资组合决策. 系统科学与数学, 45(2),376-397.
[11] A, N., Wang, L*., Yang, D. (2025). The asymmetric industry-contagion effects of peer behaviors for decisioning trade credit. International Journal of Production Research, Accepted. (ABS 3)
[12] Chen, L., Wang, L., A, N. (2025). The spillover effects of ESG rating on the trade credit scale performance: A supplier-customer dyad perspective. Journal of Business Research, Accepted. (ABS 3)
[13] Lan, H., Wang, L*., Li, M., Xiong, Y., Li, Y. (2025). Network centrality, diversification, and portfolio returns: Economic insights from blockchain industry. Economic Modelling, 152, 107247. (ABS 2)
[14] Huang, H., Lu, Y., Wang, L*. (2025). Board age diversity and digital transformation: Evidence from China. International Review of Economics & Finance, 100, 104106. (ABS 2)
[15] Ullah, M., Huang, X., Wang, L*. (2025). Understanding CSR in complex supply chains: Insights from Bayesian models and machine learning. Corporate Social Responsibility and Environmental Management, 32, 6507-6527. (ABS 1)
[16] Wang L., Wang C., Larisa Y. (2024). Trade credit and corporate digital transformation: The role of managerial ability. Financial Review, 1-32. (ABS 3)
[17] Xu Y., Jia F., Wang L*. (2024). Can digital transformation improve firm resilience to supply chain disruption? The role of diversification strategies. Journal of Purchasing and Supply Management, 1-32. (ABS 3)
[18] Huang X., Ullah M., Wang L*. (2024). Green supply chain management practices and triple bottom line performance: Insights from an emerging economy with a mediating and moderating model. Journal of Environmental Management, 1-32. (ABS 3)
[19] Wang, L., Jia F., Chen L. (2024). The effect of development of social good products on market value: Evidence from vaccine manufacturing enterprises. IEEE Transactions on Engineering Management, 1-12. (ABS 3)
[20] Wang L., Yan J., Chen X. (2021). Do network capabilities improve corporate financial performance? Evidence from financial supply chains. International Journal of Operations & Production Management, 41, 336-358. (ABS 4)
[21] He C., Jia F., Wang L. (2023). The impact of corporate social responsibility decoupling on financial performance: the role of customer structure and operational slack. International Journal of Operations & Production Management, 1-32. (ABS 4)
[22] Wang L., Li M., Wang W. (2022). Green innovation output in the supply chain network with environmental information disclosure: An empirical analysis of Chinese listed firms. International Journal of Production Economics, 108745. (ABS 3)
[23] 汪刘凯*, 张小波, 闫相斌 (2023). 基于混频数据驱动神经网络模型的波动率预测研究. 系统工程理论与实践, 43(12), 3489-3504.
[24] Wang L., Kong X., Wang W. (2023). Pursuing supply chain ecosystem health under environmental turbulence: a supply chain learning approach. International Journal of Production Research, 1-20. (ABS 3)
[25] Wang L., Jia F., Chen L. (2022). Forecasting SMEs’ credit risk in supply chain finance with a sampling strategy based on machine learning techniques. Annals of Operations Research, 1-33. (ABS 3)
[26] Wang L., Su Y., Huang H. (2022). Director's network location and corporate environmental investment in the carbon neutrality age. Business Strategy and the Environment, 1-19. (ABS 3)
[27] Xu Y., Wang L*., Xing Y. (2023). Does digital transformation foster corporate social responsibility? Evidence from Chinese mining industry. Journal of Environmental Management, 344, 118646. (ABS 3)
[28] Wang W., Zhang Z., Wang L*. (2024). Forecasting the market value of power battery industry chain: A novel RRMIDAS-SVR model. Journal of Management Science and Engineering, 1-22.
[29] Xu Q., Wang L., Jiang C. (2022). Tail dependence network of new energy vehicle industry in mainland China. Annals of Operations Research, 1-26. (ABS 3)
[30] Xu Q., Wang L., Jiang C. (2019). A novel UMIDAS-SVQR model with mixed frequency investor sentiment for predicting stock market volatility. Expert Systems with Applications, 132, 12-27.(ABS 3)
[31] Xu Y., Wang L*., Wang W. (2024). The promotion of digital transformation for supply chain diversification in service-oriented manufacturing paradigm. International Journal of Logistics Research and Applications, 1-25. (ABS 2)
[32] Wang L., Jia F., Chen L. (2021). Exploring the dependence structure among Chinese firms in the 5G industry. Industrial Management & Data Systems, 121, 409-435. (ABS 2)
[33] Huang H., Wang C., Wang L*. (2023). Corporate digital transformation and idiosyncratic risk: Based on corporate governance perspective. Emerging Markets Review, 56, 101045. (ABS 2)
[34] Wang C.,Wang L*., Wang W. (2023). Does carbon emission trading policy promote the corporate technological innovation? Empirical evidence from China's high-carbon industries. Journal of Cleaner Production, 137286. (ABS 2)
[35] Huang H., Shang R., Wang L*. (2022). Corporate social responsibility and firm value: evidence from Chinese targeted poverty alleviation. Management Decision, 1-20. (ABS 2)
[36] Wang W., Zhang Z., Wang L*. (2022). Mixed-frequency data-driven forecasting the important economies’ performance in a smart city: A novel RUMIDAS-SVR model. Industrial Management & Data Systems, 1-24. (ABS 2)
[37] Huang H., Zou Y., Wang L*. (2023). Impact of carbon information disclosure on corporate financing constraints: Evidence from the carbon disclosure project. Australian Journal of Management, 1-28. (ABS 2)
[38] Li T., Meng X., Jia F., Chen L., Wang L. (2023). Do carbon neutrality initiatives affect the shareholder value of firms? Evidence from China. Journal of Cleaner Production, 138115. (ABS 2)
[39] Huang H., Zhang J., Yan J., Gong Y., Wang L*. (2022). Supply chain network structure and firm’s R&D investments: empirical evidence from Chinese manufacturing firms. European Journal of Innovation Management, 1-21. (ABS 1)
[40] Xu Q., Wang L., Jiang C. (2019). A novel (U)MIDAS-SVR model with multi-source market sentiment for forecasting stock returns. Neural Computing and Applications, 1-14. (SCI Q1)
[1] 金融科技
[2] 风险管理
[3] 可持续运营管理
