| A generalized dynamic fuzzy neural network based on singular spectrum analysis optimized by brain storm optimization for short-term wind speed forecasting X Ma, Y Jin, Q Dong Applied Soft Computing 54, 296-312, 2017 | 204 | 2017 |
| A novel forecasting model based on a hybrid processing strategy and an optimized local linear fuzzy neural network to make wind power forecasting: A case study of wind farms in … Q Dong, Y Sun, P Li Renewable Energy 102, 241-257, 2017 | 117 | 2017 |
| Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path L Zhu, J Luo, Q Dong, Y Zhao, Y Wang, Y Wang Technological Forecasting and Social Change 170, 120890, 2021 | 116 | 2021 |
| Multifractal behavior of an air pollutant time series and the relevance to the predictability Q Dong, Y Wang, P Li Environmental pollution 222, 444-457, 2017 | 71 | 2017 |
| A novel hybrid strategy for PM2. 5 concentration analysis and prediction P Jiang, Q Dong, P Li Journal of environmental management 196, 443-457, 2017 | 61 | 2017 |
| A novel high-order weighted fuzzy time series model and its application in nonlinear time series prediction P Jiang, Q Dong, P Li, L Lian Applied Soft Computing 55, 44-62, 2017 | 52 | 2017 |
| The analysis and application of a new hybrid pollutants forecasting model using modified Kolmogorov–Zurbenko filter P Li, Y Wang, Q Dong Science of the total environment 583, 228-240, 2017 | 28 | 2017 |
| Enhanced fuzzy time series forecasting model based on hesitant differential fuzzy sets and error learning Q Dong, X Ma Expert systems with applications 166, 114056, 2021 | 24 | 2021 |
| Requirements L Jiang, L Jiang iOS eCommerce App Development with Parse, 1-8, 2015 | 22* | 2015 |
| Overcoming spatial stratification of fintech inclusion: Inferences from across Chinese provinces to guide policy makers Y Zhao, JW Goodell, Q Dong, Y Wang, MZ Abedin International Review of Financial Analysis 84, 102411, 2022 | 19 | 2022 |
| A support vector machine based semiparametric mixture cure model P Li, Y Peng, P Jiang, Q Dong Computational Statistics 35, 931-945, 2020 | 18 | 2020 |
| Profit-driven weighted classifier with interpretable ability for customer churn prediction P Jiang, Z Liu, MZ Abedin, J Wang, W Yang, Q Dong Omega 125, 103034, 2024 | 11 | 2024 |
| Risk measurement and application of the international carbon market in the era of global conflict: A data-driven study using FCM Q Dong, D Huo, K Wang Journal of Environmental Management 342, 118251, 2023 | 7 | 2023 |
| Risk spillover between carbon markets and stock markets from a progressive perspective: Measurements, spillover networks, and driving factors Q Dong, Y Zhao, X Ma, Y Zhou Energy Economics 129, 107228, 2024 | 5 | 2024 |
| Time to delisted status for listed firms in Chinese stock markets: An analysis using a mixture cure model with time-varying covariates Q Dong, Y Peng, P Li Journal of the Operational Research Society 73 (10), 2358-2369, 2022 | 5 | 2022 |
| Risk spillover measurement of carbon trading market considering susceptible factors: A network perspective Q Dong, L Lian, Q Jiang International Journal of Finance & Economics, 2024 | | 2024 |
| Risk Spillover Mechanisms and Risk Management Strategies Among Carbon, Stock and Bond Markets During the Covid-19 Pandemic: Evidence from China Q Dong, Y Zhao, X Ma, R Tang Stock and Bond Markets During the Covid-19 Pandemic: Evidence from China, 2023 | | 2023 |
| Small and medium-sized enterprises’ time to default: an analysis using an improved mixture cure model with time-varying covariates Q Dong, G Chi Journal of Credit Risk 19 (2), 2022 | | 2022 |
| Can Personal Carbon Trading Policy Reduce Residential Carbon Emissions: Evidence from China Q Dong, J Luo, Y Zhao, X Ma, Y Zhang Available at SSRN 4455895, 0 | | |
Yingwei PengProfessor of Biostatistics, Queen's University在 queensu.ca 的电子邮件经过验证
Yingwei PengProfessor of Biostatistics, Queen's University在 queensu.ca 的电子邮件经过验证