| A deep learning ensemble approach for crude oil price forecasting Y Zhao, J Li, L Yu Energy Economics 66, 9-16, 2017 | 410 | 2017 |
| Mapping the research trends by co-word analysis based on keywords from funded project X Chen, J Chen, D Wu, Y Xie, J Li Procedia computer science 91, 547-555, 2016 | 386 | 2016 |
| Optimization based data mining: theory and applications Y Shi, Y Tian, G Kou, Y Peng, J Li Springer Science & Business Media, 2011 | 319 | 2011 |
| A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting L Tang, L Yu, S Wang, J Li, S Wang Applied Energy 93, 432-443, 2012 | 190 | 2012 |
| 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 | 186 | 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), 2021 | 172 | 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 | 153 | 2022 |
| A multiple kernel support vector machine scheme for feature selection and rule extraction from gene expression data of cancer tissue Z Chen, J Li, L Wei Artificial intelligence in medicine 41 (2), 161-175, 2007 | 149 | 2007 |
| Forecasting the price of Bitcoin using deep learning M Liu, G Li, J Li, X Zhu, Y Yao Finance research letters 40, 101755, 2021 | 141 | 2021 |
| Multi-scale interactions between economic policy uncertainty and oil prices in time-frequency domains X Sun, X Chen, J Wang, J Li The North American Journal of Economics and Finance 51, 100854, 2020 | 106 | 2020 |
| Assessing the extreme risk spillovers of international commodities on maritime markets: a GARCH-Copula-CoVaR approach X Sun, C Liu, J Wang, J Li International Review of Financial Analysis 68, 101453, 2020 | 105 | 2020 |
| Measuring external oil supply risk: A modified diversification index with country risk and potential oil exports Y Yang, J Li, X Sun, J Chen Energy 68, 930-938, 2014 | 103 | 2014 |
| Measuring the interdependence between investor sentiment and crude oil returns: new evidence from the CFTC's disaggregated reports Q Ji, J Li, X Sun Finance Research Letters 30, 420-425, 2019 | 100 | 2019 |
| 基于距离协调度模型的系统协调发展定量评价方法 汤铃， 李建平， 余乐安， 覃东海 | 96 | 2010 |
| 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 |
| China's Sovereign Wealth Fund Investments in overseas energy: The energy security perspective X Sun, J Li, Y Wang, WW Clark Energy Policy 65, 654-661, 2014 | 92 | 2014 |
| Spillovers among sovereign CDS, stock and commodity markets: A correlation network perspective X Sun, J Wang, Y Yao, J Li, J Li International Review of Financial Analysis 68, 101271, 2020 | 90 | 2020 |
| 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, 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 |
| Tourism companies' risk exposures on text disclosure J Li, Y Feng, G Li, X Sun Annals of tourism research 84, 102986, 2020 | 85 | 2020 |
Xiaolei SunInstitutes of Science and Management, Chinese Academy of SciencesEmail verificata su casisd.cn
