Cited by

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• 2022Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets56 cited
• 2022A new secondary decomposition-reconstruction-ensemble approach for crude oil price forecasting54 cited
• 2024A novel crude oil price forecasting model using decomposition and deep learning networks49 cited
• 2023Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models44 cited
• 2022A novel crude oil prices forecasting model based on secondary decomposition41 cited
• 2022Interval prediction approach to crude oil price based on three-way clustering and decomposition ensemble learning40 cited
• 2023Crude oil price prediction using deep reinforcement learning38 cited
• 2024A combined model using secondary decomposition for crude oil futures price and volatility forecasting: Analysis based on comparison and ablation experiments37 cited
• 2022A novel hybrid model integrating modified ensemble empirical mode decomposition and LSTM neural network for multi-step precious metal prices prediction36 cited
• 2023A novel hybrid model with two-layer multivariate decomposition for crude oil price forecasting32 cited
• 2023Crude Oil Price Time Series Forecasting: A Novel Approach Based on Variational Mode Decomposition, Time-Series Imaging, and Deep Learning30 cited
• 2022A comparative online sales forecasting analysis: Data mining techniques27 cited
• 2023A Bibliometric Analysis on the Applications of Artificial Intelligence in Petroleum Engineering8 cited