Risk spillovers between FinTech and traditional financial institutions: Evidence from the US J Li, J Li, X Zhu, Y Yao, B Casu International Review of Financial Analysis 71, 101544, 2020 | 189 | 2020 |
Intelligent financial fraud detection practices in post-pandemic era X Zhu, X Ao, Z Qin, Y Chang, Y Liu, Q He, J Li The Innovation 2 (4), 100176, 2021 | 177 | 2021 |
A novel text-based framework for forecasting agricultural futures using massive online news headlines J Li, G Li, M Liu, X Zhu, L Wei International Journal of Forecasting 38 (1), 35-50, 2022 | 155 | 2022 |
Forecasting the price of Bitcoin using deep learning M Liu, G Li, J Li, X Zhu, Y Yao Finance research letters 40, 101755, 2021 | 144 | 2021 |
Developing a hierarchical system for energy corporate risk factors based on textual risk disclosures L Wei, G Li, X Zhu, X Sun, J Li Energy Economics 80, 452-460, 2019 | 92 | 2019 |
On the aggregation of credit, market and operational risks J Li, X Zhu, CF Lee, D Wu, J Feng, Y Shi Review of Quantitative Finance and Accounting 44 (1), 161-189, 2015 | 88 | 2015 |
Balancing accuracy, complexity and interpretability in consumer credit decision making: A C-TOPSIS classification approach X Zhu, J Li, D Wu, H Wang, C Liang Knowledge-Based Systems 52, 258-267, 2013 | 86 | 2013 |
Discovering bank risk factors from financial statements based on a new semi‐supervised text mining algorithm L Wei, G Li, X Zhu, J Li Accounting & Finance 59 (3), 1519-1552, 2019 | 82 | 2019 |
Financial fraud detection using the related-party transaction knowledge graph X Mao, H Sun, X Zhu, J Li Procedia Computer Science 199, 733-740, 2022 | 54 | 2022 |
Risk contagion in Chinese banking industry: A Transfer Entropy-based analysis J Li, C Liang, X Zhu, X Sun, D Wu Entropy 15 (12), 5549-5564, 2013 | 53 | 2013 |
Quality credit evaluation based on TOPSIS: Evidence from air-conditioning market in China X Zhu, F Wang, C Liang, J Li, X Sun Procedia Computer Science 9, 1256-1262, 2012 | 45 | 2012 |
Financial fraud risk analysis based on audit information knowledge graph H Wu, Y Chang, J Li, X Zhu Procedia Computer Science 199, 780-787, 2022 | 41 | 2022 |
Consumer’s risk perception on the Belt and Road countries: evidence from the cross-border e-commerce J Li, Y Yao, Y Xu, J Li, L Wei, X Zhu Electronic Commerce Research 19 (4), 823-840, 2019 | 38 | 2019 |
Financial statements based bank risk aggregation J Li, L Wei, CF Lee, X Zhu, D Wu Review of Quantitative Finance and Accounting 50 (3), 673-694, 2018 | 37 | 2018 |
Network-based estimation of systematic and idiosyncratic contagion: The case of Chinese financial institutions J Li, Y Yao, J Li, X Zhu Emerging Markets Review 40, 100624, 2019 | 35 | 2019 |
Extreme risk spillovers among traditional financial and FinTech institutions: A complex network perspective S Wen, J Li, C Huang, X Zhu The Quarterly Review of Economics and Finance 88, 190-202, 2023 | 34 | 2023 |
TOPSIS method for quality credit evaluation: A case of air-conditioning market in China X Zhu, F Wang, H Wang, C Liang, R Tang, X Sun, J Li Journal of Computational Science 5 (2), 99-105, 2014 | 33 | 2014 |
Tracking down financial statement fraud by analyzing the supplier-customer relationship network J Li, Y Chang, Y Wang, X Zhu Computers & Industrial Engineering 178, 109118, 2023 | 32 | 2023 |
Bank risk aggregation with forward-looking textual risk disclosures L Wei, G Li, J Li, X Zhu The North American Journal of Economics and Finance 50, 101016, 2019 | 32 | 2019 |
Operational risk measurement: a loss distribution approach with segmented dependence X Zhu, Y Wang, J Li Journal of Operational Risk, Forthcoming, 2019 | 31 | 2019 |