| An extended intuitionistic fuzzy TOPSIS method based on a new distance measure with an application to credit risk evaluation F Shen, X Ma, Z Li, Z Xu, D Cai Information Sciences 428, 105-119, 2018 | 247 | 2018 |
| Predicting the risk of financial distress using corporate governance measures Z Li, J Crook, G Andreeva, Y Tang Pacific-Basin Finance Journal 68, 101334, 2021 | 164 | 2021 |
| Reject inference in credit scoring using semi-supervised support vector machines Z Li, Y Tian, K Li, F Zhou, W Yang Expert Systems with Applications 74, 105-114, 2017 | 138 | 2017 |
| The interest costs of green bonds: Credit ratings, corporate social responsibility, and certification Z Li, Y Tang, J Wu, J Zhang, Q Lv Emerging Markets Finance and Trade 56 (12), 2679-2692, 2020 | 137 | 2020 |
| Dynamic prediction of financial distress using Malmquist DEA Z Li, J Crook, G Andreeva Expert Systems with Applications 80, 94–106, 2017 | 126 | 2017 |
| A novel ensemble classification model based on neural networks and a classifier optimisation technique for imbalanced credit risk evaluation F Shen, X Zhao, Z Li, K Li, Z Meng Physica A: Statistical Mechanics and its Applications 526, 121073, 2019 | 97 | 2019 |
| Chinese companies distress prediction: an application of data envelopment analysis Z Li, J Crook, G Andreeva Journal of the Operational Research Society 65, 466-479, 2014 | 77 | 2014 |
| The recurrence of financial distress: A survival analysis F Zhou, L Fu, Z Li, J Xu International Journal of Forecasting 38 (3), 1100-1115, 2022 | 36 | 2022 |
| Predicting prepayment and default risks of unsecured consumer loans in online lending Z Li, K Li, X Yao, Q Wen Emerging Markets Finance and Trade 55 (1), 118-132, 2019 | 32 | 2019 |
| How to identify early defaults in online lending: a cost-sensitive multi-layer learning framework Z Li, J Zhang, X Yao, G Kou Knowledge-Based Systems 221, 106963, 2021 | 26 | 2021 |
| Modelling trust evolution within small business lending relationships Y Tang, A Moro, S Sozzo, Z Li Financial innovation 4, 1-18, 2018 | 26 | 2018 |
| Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis Z Li, C Feng, Y Tang Annals of Operations Research 315 (1), 279-315, 2022 | 23 | 2022 |
| Liquidity creation cyclicality, capital regulation and interbank credit: Evidence from Chinese commercial banks Y Tang, Z Li, J Chen, C Deng Pacific-Basin Finance Journal 67, 101523, 2021 | 17 | 2021 |
| An intuitionistic fuzzy ELECTRE-III method for credit risk assessment F Shen, D Lan, Z Li Proceedings of the Tenth International Conference on Management Science and …, 2017 | 15 | 2017 |
| Predicting loss given default using post-default information K Li, F Zhou, Z Li, X Yao, Y Zhang Knowledge-Based Systems 224, 107068, 2021 | 11 | 2021 |
| A semi-parametric ensemble model for profit evaluation and investment decisions in online consumer loans with prepayments K Li, F Zhou, Z Li, W Li, F Shen Applied Soft Computing 107, 107485, 2021 | 10 | 2021 |
| The profitability of online loans: A competing risks analysis on default and prepayment Z Li, A Li, A Bellotti, X Yao European Journal of Operational Research 306 (2), 968-985, 2023 | 9 | 2023 |
| Inferring the outcomes of rejected loans: an application of semisupervised clustering Z Li, X Hu, K Li, F Zhou, F Shen Journal of the Royal Statistical Society Series A: Statistics in Society 183 …, 2020 | 6 | 2020 |
| The impact of environmental information disclosure on the cost of green bond: Evidence from China Y Tang, B Wang, N Pan, Z Li Energy Economics 126, 107008, 2023 | 5 | 2023 |
| Customer churn prediction for commercial banks using customer-value-weighted machine learning models Z Wu, Z Li Journal of Credit Risk 17 (4), 2021 | 5 | 2021 |
