OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Multi-perspective crude oil price forecasting with a new decomposition-ensemble framework
Jingjun Guo, Zhengling Zhao, Jingyun Sun, et al.
Resources Policy (2022) Vol. 77, pp. 102737-102737
Closed Access | Times Cited: 32
Jingjun Guo, Zhengling Zhao, Jingyun Sun, et al.
Resources Policy (2022) Vol. 77, pp. 102737-102737
Closed Access | Times Cited: 32
Showing 1-25 of 32 citing articles:
Deep learning systems for forecasting the prices of crude oil and precious metals
Parisa Foroutan, Salim Lahmiri
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Parisa Foroutan, Salim Lahmiri
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
River Water Temperature Prediction Using a Hybrid Model Based on Variational Mode Decomposition (VMD) and Outlier Robust Extreme Learning Machine
Ehsan Mirzania, Thendiyath Roshni, Mohammad Ali Ghorbani, et al.
Environmental Processes (2024) Vol. 11, Iss. 3
Closed Access | Times Cited: 5
Ehsan Mirzania, Thendiyath Roshni, Mohammad Ali Ghorbani, et al.
Environmental Processes (2024) Vol. 11, Iss. 3
Closed Access | Times Cited: 5
Enhanced forecasting method for realized volatility of energy futures prices: A secondary decomposition-based deep learning model
Hao Gong, H. Y. Xing, Qianwen Wang
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110321-110321
Closed Access
Hao Gong, H. Y. Xing, Qianwen Wang
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110321-110321
Closed Access
Effects of fundamentals, geopolitical risk and expectations factors on crude oil prices
Κωνσταντίνος Γκίλλας, Jeevananthan Manickavasagam, S. Visalakshmi
Resources Policy (2022) Vol. 78, pp. 102887-102887
Closed Access | Times Cited: 25
Κωνσταντίνος Γκίλλας, Jeevananthan Manickavasagam, S. Visalakshmi
Resources Policy (2022) Vol. 78, pp. 102887-102887
Closed Access | Times Cited: 25
Forecasting VaR and ES by using deep quantile regression, GANs-based scenario generation, and heterogeneous market hypothesis
Jianzhou Wang, Shuai Wang, Mengzheng Lv, et al.
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Jianzhou Wang, Shuai Wang, Mengzheng Lv, et al.
Financial Innovation (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4
China’s Energy Stock Price Index Prediction Based on VECM–BiLSTM Model
Bingchun Liu, Zhang Xia, Yuan Gao, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1242-1242
Open Access
Bingchun Liu, Zhang Xia, Yuan Gao, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1242-1242
Open Access
Crude Oil Price Time Series Forecasting: A Novel Approach Based on Variational Mode Decomposition, Time-Series Imaging, and Deep Learning
Zi-Jian Peng, Chuan Zhang, Yu‐Xin Tian
IEEE Access (2023) Vol. 11, pp. 82216-82231
Open Access | Times Cited: 12
Zi-Jian Peng, Chuan Zhang, Yu‐Xin Tian
IEEE Access (2023) Vol. 11, pp. 82216-82231
Open Access | Times Cited: 12
A novel hybrid model with two-layer multivariate decomposition for crude oil price forecasting
Zhengling Zhao, Shaolong Sun, Jingyun Sun, et al.
Energy (2023) Vol. 288, pp. 129740-129740
Closed Access | Times Cited: 12
Zhengling Zhao, Shaolong Sun, Jingyun Sun, et al.
Energy (2023) Vol. 288, pp. 129740-129740
Closed Access | Times Cited: 12
A new hybrid model for multi-step WTI futures price forecasting based on self-attention mechanism and spatial–temporal graph neural network
Geya Zhao, Minggao Xue, Li Cheng
Resources Policy (2023) Vol. 85, pp. 103956-103956
Closed Access | Times Cited: 11
Geya Zhao, Minggao Xue, Li Cheng
Resources Policy (2023) Vol. 85, pp. 103956-103956
Closed Access | Times Cited: 11
Forecasting coal demand in key coal consuming industries based on the data-characteristic-driven decomposition ensemble model
Delu Wang, Cuicui Tian, Jinqi Mao, et al.
Energy (2023) Vol. 282, pp. 128841-128841
Closed Access | Times Cited: 11
Delu Wang, Cuicui Tian, Jinqi Mao, et al.
Energy (2023) Vol. 282, pp. 128841-128841
Closed Access | Times Cited: 11
Deep Image Steganography Using Transformer and Recursive Permutation
Zhiyi Wang, Mingcheng Zhou, Bo-Ji Liu, et al.
Entropy (2022) Vol. 24, Iss. 7, pp. 878-878
Open Access | Times Cited: 17
Zhiyi Wang, Mingcheng Zhou, Bo-Ji Liu, et al.
Entropy (2022) Vol. 24, Iss. 7, pp. 878-878
Open Access | Times Cited: 17
Denoising or distortion: Does decomposition-reconstruction modeling paradigm provide a reliable prediction for crude oil price time series?
Kunliang Xu, Hongli Niu
Energy Economics (2023) Vol. 128, pp. 107129-107129
Closed Access | Times Cited: 8
Kunliang Xu, Hongli Niu
Energy Economics (2023) Vol. 128, pp. 107129-107129
Closed Access | Times Cited: 8
Option pricing under sub-mixed fractional Brownian motion based on time-varying implied volatility using intelligent algorithms
Jingjun Guo, Weiyi Kang, Yubing Wang
Soft Computing (2023) Vol. 27, Iss. 20, pp. 15225-15246
Closed Access | Times Cited: 5
Jingjun Guo, Weiyi Kang, Yubing Wang
Soft Computing (2023) Vol. 27, Iss. 20, pp. 15225-15246
Closed Access | Times Cited: 5
Bionic-inspired oil price prediction: Auditory multi-feature collaboration network
Han Wu, Yan Liang, Xiao‐Zhi Gao, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122971-122971
Closed Access | Times Cited: 5
Han Wu, Yan Liang, Xiao‐Zhi Gao, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122971-122971
Closed Access | Times Cited: 5
A novel secondary decomposition method for forecasting crude oil price with twitter sentiment
Jieyi Li, Shuangyue Qian, Ling Li, et al.
Energy (2023) Vol. 290, pp. 129954-129954
Closed Access | Times Cited: 5
Jieyi Li, Shuangyue Qian, Ling Li, et al.
Energy (2023) Vol. 290, pp. 129954-129954
Closed Access | Times Cited: 5
Investigating the Impact of Agricultural, Financial, Economic, and Political Factors on Oil Forward Prices and Volatility: A SHAP Analysis
H.J. Kim, Hui-Sang Kim, Sun‐Yong Choi
Energies (2024) Vol. 17, Iss. 5, pp. 1001-1001
Open Access | Times Cited: 1
H.J. Kim, Hui-Sang Kim, Sun‐Yong Choi
Energies (2024) Vol. 17, Iss. 5, pp. 1001-1001
Open Access | Times Cited: 1
Multi-perspective option price forecasting combining parametric and non-parametric pricing models with a new dynamic ensemble framework
Jingjun Guo, Weiyi Kang, Yubing Wang
Technological Forecasting and Social Change (2024) Vol. 204, pp. 123429-123429
Closed Access | Times Cited: 1
Jingjun Guo, Weiyi Kang, Yubing Wang
Technological Forecasting and Social Change (2024) Vol. 204, pp. 123429-123429
Closed Access | Times Cited: 1
A novel integrated method for improving the forecasting accuracy of crude oil: ESMD-CFastICA-BiLSTM-Attention
Zisheng Ouyang, Min Lü, Zhongzhe Ouyang, et al.
Energy Economics (2024) Vol. 138, pp. 107851-107851
Closed Access | Times Cited: 1
Zisheng Ouyang, Min Lü, Zhongzhe Ouyang, et al.
Energy Economics (2024) Vol. 138, pp. 107851-107851
Closed Access | Times Cited: 1
Forecasting crude oil futures prices using Extreme Gradient Boosting
Qian Yang, Kaijian He, Linyuan Zheng, et al.
Procedia Computer Science (2023) Vol. 221, pp. 920-926
Open Access | Times Cited: 3
Qian Yang, Kaijian He, Linyuan Zheng, et al.
Procedia Computer Science (2023) Vol. 221, pp. 920-926
Open Access | Times Cited: 3
Artificial Intelligence Techniques for the Forecasting of Crude Oil Price: A Literature Review
Naji Ahmed Mohamed, Mourad Messaadia
(2023)
Closed Access | Times Cited: 2
Naji Ahmed Mohamed, Mourad Messaadia
(2023)
Closed Access | Times Cited: 2
Crude Oil Spot Price Forecasting Using Ivanov-Based LASSO Vector Autoregression
Yishan Ding, Dongwei He, Jun Wu, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 3
Yishan Ding, Dongwei He, Jun Wu, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 3
Intelligent Crude Oil Price Probability Forecasting: Deep Learning Models and Industry Applications
Liang Shen, Yukun Bao, Najmul Hasan, et al.
(2024)
Closed Access
Liang Shen, Yukun Bao, Najmul Hasan, et al.
(2024)
Closed Access
Intelligent crude oil price probability forecasting: Deep learning models and industry applications
Liang Shen, Yukun Bao, Najmul Hasan, et al.
Computers in Industry (2024) Vol. 163, pp. 104150-104150
Closed Access
Liang Shen, Yukun Bao, Najmul Hasan, et al.
Computers in Industry (2024) Vol. 163, pp. 104150-104150
Closed Access
Crude oil price forecasting with multivariate selection, machine learning, and a nonlinear combination strategy
Yan Xu, Tianli Liu, Fang Qi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109510-109510
Closed Access
Yan Xu, Tianli Liu, Fang Qi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109510-109510
Closed Access
Predicting China's thermal coal price: Does multivariate decomposition-integrated forecasting model with window rolling work?
Qihui Shao, Yongqiang Du, Wenxuan Xue, et al.
Resources Policy (2024) Vol. 99, pp. 105410-105410
Closed Access
Qihui Shao, Yongqiang Du, Wenxuan Xue, et al.
Resources Policy (2024) Vol. 99, pp. 105410-105410
Closed Access
