| A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring Y Xia, C Liu, YY Li, N Liu Expert systems with applications 78, 225-241, 2017 | 835 | 2017 |
| Can green financial development promote renewable energy investment efficiency? A consideration of bank credit L He, R Liu, Z Zhong, D Wang, Y Xia Renewable Energy 143, 974-984, 2019 | 509 | 2019 |
| Effect of government subsidies on renewable energy investments: The threshold effect X Yang, L He, Y Xia, Y Chen Energy Policy 132, 156-166, 2019 | 328 | 2019 |
| Examining the coordination between urbanization and eco-environment using coupling and spatial analyses: A case study in China N Liu, C Liu, Y Xia, B Da Ecological Indicators 93, 1163-1175, 2018 | 296 | 2018 |
| A novel heterogeneous ensemble credit scoring model based on bstacking approach Y Xia, C Liu, B Da, F Xie Expert Systems with Applications 93, 182-199, 2018 | 222 | 2018 |
| Cost-sensitive boosted tree for loan evaluation in peer-to-peer lending Y Xia, C Liu, N Liu Electronic Commerce Research and Applications 24, 30-49, 2017 | 204 | 2017 |
| Examining the coordination between green finance and green economy aiming for sustainable development: A case study of China N Liu, C Liu, Y Xia, Y Ren, J Liang Sustainability 12 (9), 3717, 2020 | 138 | 2020 |
| Is there any difference in the impact of economic policy uncertainty on the investment of traditional and renewable energy enterprises?–A comparative study based on regulatory … R Liu, L He, X Liang, X Yang, Y Xia Journal of Cleaner Production 255, 120102, 2020 | 136 | 2020 |
| A novel tree-based dynamic heterogeneous ensemble method for credit scoring Y Xia, J Zhao, L He, Y Li, M Niu Expert Systems with Applications 159, 113615, 2020 | 96 | 2020 |
| Predicting loan default in peer‐to‐peer lending using narrative data Y Xia, L He, Y Li, N Liu, Y Ding Journal of Forecasting 39 (2), 260-280, 2020 | 91 | 2020 |
| Are non-fungible tokens (NFTs) different asset classes? Evidence from quantile connectedness approach Y Xia, J Li, Y Fu Finance Research Letters 49, 103156, 2022 | 50 | 2022 |
| A Rejection Inference Technique Based on Contrastive Pessimistic Likelihood Estimation for P2P Lending Y Xia, X Yang, Y Zhang Electronic Commerce Research and Applications 30 (July–August), 114-124, 2018 | 47 | 2018 |
| A novel reject inference model using outlier detection and gradient boosting technique in peer-to-peer lending Y Xia IEEE Access 7, 92893-92907, 2019 | 44 | 2019 |
| A dynamic credit scoring model based on survival gradient boosting decision tree approach Y Xia, L He, Y Li, Y Fu, Y Xu Technological and Economic Development of Economy 27 (1), 96-119, 2021 | 42 | 2021 |
| The role of uncertainty index in forecasting volatility of Bitcoin: fresh evidence from GARCH-MIDAS approach Y Xia, C Sang, L He, Z Wang Finance Research Letters 52, 103391, 2023 | 34 | 2023 |
| Forecasting loss given default for peer-to-peer loans via heterogeneous stacking ensemble approach Y Xia, J Zhao, L He, Y Li, X Yang International Journal of Forecasting 37 (4), 1590-1613, 2021 | 34 | 2021 |
| Incorporating multilevel macroeconomic variables into credit scoring for online consumer lending Y Xia, Y Li, L He, Y Xu, Y Meng Electronic Commerce Research and Applications 49, 101095, 2021 | 31 | 2021 |
| Construction of a green development performance index of industrial enterprises: Based on the empirical study of 458 listed industrial enterprises in China L He, Y Sun, Y Xia, Z Zhong Ecological Indicators 132, 108239, 2021 | 30 | 2021 |
| Can green assets hedge against economic policy uncertainty? Evidence from China with portfolio implications Y Xia, Z Shi, X Du, M Niu, R Cai Finance Research Letters 55, 103874, 2023 | 25 | 2023 |
| Deep learning meets decision trees: An application of a heterogeneous deep forest approach in credit scoring for online consumer lending Y Xia, X Guo, Y Li, L He, X Chen Journal of Forecasting 41 (8), 1669-1690, 2022 | 20 | 2022 |