Articles citing this article
The Citing articles tool gives a list of articles citing the current article. The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program . You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
Zhenda Hu
Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles, 76 (2021) 28
Published online: 2021-04-30
This article has been cited by the following article(s):
29 articles
Ashwini Dalvi, Vardhan Patil, Sakshaat Raut, Purav Sanghavi and Darshit Shah 127 (2025) https://doi.org/10.1007/978-981-96-3762-1_10
Public sentiment, stock and energy prices during the Russia-Ukraine war: global evidence
Huan Huu Nguyen, Nam Anh Tran Nguyen and Phuong Thao Le Thi Journal of Chinese Economic and Business Studies 23 (2) 259 (2025) https://doi.org/10.1080/14765284.2025.2472500
Zhenda Hu, Guanru Yan, Yee Sen Tan and Haibo Pen 15835 399 (2025) https://doi.org/10.1007/978-981-96-8197-6_30
Iron Ore Price Forecast based on a Multi-Echelon Tandem Learning Model
Weixu Pan, Shi Qiang Liu, Mustafa Kumral, Andrea D’Ariano, Mahmoud Masoud, Waqar Ahmed Khan and Adnan Bakather Natural Resources Research 33 (5) 1969 (2024) https://doi.org/10.1007/s11053-024-10360-2
Fortify the investment performance of crude oil market by integrating sentiment analysis and an interval-based trading strategy
Kun Yang, Zishu Cheng, Mingchen Li, Shouyang Wang and Yunjie Wei Applied Energy 353 122102 (2024) https://doi.org/10.1016/j.apenergy.2023.122102
Enhancing Multi-step Brent Oil Price Forecasting with Ensemble Multi-scenario Bi-GRU Networks
Mohammed Alruqimi and Luca Di Persio International Journal of Computational Intelligence Systems 17 (1) (2024) https://doi.org/10.1007/s44196-024-00640-3
A novel secondary decomposition method for forecasting crude oil price with twitter sentiment
Jieyi Li, Shuangyue Qian, Ling Li, Yuanxuan Guo, Jun Wu and Ling Tang Energy 290 129954 (2024) https://doi.org/10.1016/j.energy.2023.129954
A novel crude oil price forecasting model using decomposition and deep learning networks
Yao Dong, He Jiang, Yunting Guo and Jianzhou Wang Engineering Applications of Artificial Intelligence 133 108111 (2024) https://doi.org/10.1016/j.engappai.2024.108111
Crude oil price forecasting using K-means clustering and LSTM model enhanced by dense-sparse-dense strategy
Alireza Jahandoost, Farhad Abedinzadeh Torghabeh, Seyyed Abed Hosseini and Mahboobeh Houshmand Journal of Big Data 11 (1) (2024) https://doi.org/10.1186/s40537-024-00977-8
LEST: Large language models and spatio-temporal data analysis for enhanced Sino-US exchange rate forecasting
Di Han, Wei Guo, Han Chen, Bocheng Wang and Zikun Guo International Review of Economics & Finance 96 103508 (2024) https://doi.org/10.1016/j.iref.2024.103508
A novel approach to Predict WTI crude spot oil price: LSTM-based feature extraction with Xgboost Regressor
Ahmed Ihsan Simsek, Emre Bulut, Yunus Emre Gur and Esma Gültekin Tarla Energy 309 133102 (2024) https://doi.org/10.1016/j.energy.2024.133102
Multistep Brent oil price forecasting with a multi-aspect meta-heuristic optimization and ensemble deep learning model
Mohammed Alruqimi and Luca Di Persio Energy Informatics 7 (1) (2024) https://doi.org/10.1186/s42162-024-00421-4
YuQing Liu, Binbin Li, HeJun Liang and Tiange Feng 244 (2024) https://doi.org/10.1109/ICEBE62490.2024.00045
Alireza Jahandoost, Maryam Baradaran and Mohammad Hossein Moattar 1 (2024) https://doi.org/10.1109/AISP61396.2024.10475247
Crude oil futures price prediction by composite machine learning model
Hao Dong, Yingrong Zheng and Na Li Annals of Operations Research (2023) https://doi.org/10.1007/s10479-023-05434-y
A Hybrid Deep Learning Approach for Crude Oil Price Prediction
Hind Aldabagh, Xianrong Zheng and Ravi Mukkamala Journal of Risk and Financial Management 16 (12) 503 (2023) https://doi.org/10.3390/jrfm16120503
Learning-Based Stock Trending Prediction by Incorporating Technical Indicators and Social Media Sentiment
Zhaoxia Wang, Zhenda Hu, Fang Li, Seng-Beng Ho and Erik Cambria Cognitive Computation 15 (3) 1092 (2023) https://doi.org/10.1007/s12559-023-10125-8
An Advanced Long Short-Term Memory (LSTM) Neural Network Method for Predicting Rate of Penetration (ROP)
Hui Ji, Yishan Lou, Shuting Cheng, Zelong Xie and Liang Zhu ACS Omega 8 (1) 934 (2023) https://doi.org/10.1021/acsomega.2c06308
The role of online news sentiment in carbon price prediction of China’s carbon markets
Muyan Liu and Qianwei Ying Environmental Science and Pollution Research 30 (14) 41379 (2023) https://doi.org/10.1007/s11356-023-25197-0
Alireza Jahandoost, Mahboobeh Houshmand and Seyyed Abed Hosseini 240 (2023) https://doi.org/10.1109/ICCKE60553.2023.10326291
An Integrated Time Series Prediction Model Based on Empirical Mode Decomposition and Two Attention Mechanisms
Xianchang Wang, Siyu Dong and Rui Zhang Information 14 (11) 610 (2023) https://doi.org/10.3390/info14110610
Muyan Liu and Qianwei Ying (2022) https://doi.org/10.21203/rs.3.rs-2179239/v1
A novel crude oil price trend prediction method: Machine learning classification algorithm based on multi-modal data features
Huizi He, Mei Sun, Xiuming Li and Isaac Adjei Mensah Energy 244 122706 (2022) https://doi.org/10.1016/j.energy.2021.122706
Forecasting Crude Oil Prices with a WT-FNN Model
Donghua Wang and Tianhui Fang Energies 15 (6) 1955 (2022) https://doi.org/10.3390/en15061955
International Natural Gas Price Trends Prediction with Historical Prices and Related News
Renchu Guan, Aoqing Wang, Yanchun Liang, Jiasheng Fu and Xiaosong Han Energies 15 (10) 3573 (2022) https://doi.org/10.3390/en15103573
A Hybrid Framework Using PCA, EMD and LSTM Methods for Stock Market Price Prediction with Sentiment Analysis
Krittakom Srijiranon, Yoskorn Lertratanakham and Tanatorn Tanantong Applied Sciences 12 (21) 10823 (2022) https://doi.org/10.3390/app122110823
Green Bond Index Prediction Based on CEEMDAN-LSTM
Jiaqi Wang, Jiulin Tang and Kun Guo Frontiers in Energy Research 9 (2022) https://doi.org/10.3389/fenrg.2021.793413
Applying attention-based BiLSTM and technical indicators in the design and performance analysis of stock trading strategies
Ming-Che Lee, Jia-Wei Chang, Sheng-Cheng Yeh, Tsorng-Lin Chia, Jie-Shan Liao and Xu-Ming Chen Neural Computing and Applications 34 (16) 13267 (2022) https://doi.org/10.1007/s00521-021-06828-4
A Novel Sensor System for In Vivo Perception Reconstruction Based on Long Short-Term Memory Networks
Ding Han, Guozheng Yan, Lichao Wang, Fangfang Hua and Lin Yan Sensors 22 (19) 7407 (2022) https://doi.org/10.3390/s22197407