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 | 147 | 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 | 122 | 2021 |
Forecasting the price of Bitcoin using deep learning M Liu, G Li, J Li, X Zhu, Y Yao Finance research letters 40, 101755, 2021 | 118 | 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 | 112 | 2022 |
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 | 91 | 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 | 83 | 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 | 83 | 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 | 75 | 2019 |
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 | 51 | 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 | 44 | 2012 |
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 | 36 | 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 | 35 | 2018 |
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 | 33 | 2022 |
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 | 33 | 2019 |
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 | 30 | 2019 |
Ranking the research productivity of business and management institutions in Asia–Pacific region: empirical research in leading ABS journals D Wu, M Li, X Zhu, H Song, J Li Scientometrics 105 (2), 1253-1272, 2015 | 29 | 2015 |
Change point detection for subprime crisis in American banking: From the perspective of risk dependence X Zhu, Y Xie, J Li, D Wu International Review of Economics & Finance 38, 18-28, 2015 | 28 | 2015 |
Risk dependence between energy corporations: A text-based measurement approach J Li, J Li, X Zhu International Review of Economics & Finance 68, 33-46, 2020 | 27 | 2020 |
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 | 26 | 2022 |
Operational risk measurement: a loss distribution approach with segmented dependence X Zhu, Y Wang, J Li Journal of Operational Risk, Forthcoming, 2019 | 25 | 2019 |