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OpenAlex Citation Counts

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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:

Forecasting crude oil futures price using machine learning methods: Evidence from China
Lili Guo, Xinya Huang, Yanjiao Li, et al.
Energy Economics (2023) Vol. 127, pp. 107089-107089
Closed Access | Times Cited: 25

Showing 25 citing articles:

A novel hybrid model for crude oil price forecasting based on MEEMD and Mix-KELM
Jingjing Li, Zhanjiang Hong, Chengyuan Zhang, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123104-123104
Closed Access | Times Cited: 11
Multi-decomposition in deep learning models for futures price prediction
Yuping Song, Jiefei Huang, Yang Xu, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123171-123171
Closed Access | Times Cited: 8
Forecast combination using grey relational analysis and Choquet fuzzy integral for container throughput forecasting
Geng Wu, Yi‐Chung Hu, Yu‐Jing Chiu, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124170-124170
Closed Access | Times Cited: 7
Artificial Intelligence in Energy Economics Research: A Bibliometric Review
Zhilun Jiao, Chenrui Zhang, Wenwen Li
Energies (2025) Vol. 18, Iss. 2, pp. 434-434
Open Access
Can extremely high-temperature weather forecast oil prices?
Donglan Zha, Shuo Zhang, Yang Cao
Frontiers of Engineering Management (2025)
Closed Access
Revolutionizing agricultural stock volatility forecasting: a comparative study of machine learning and HAR-RV models
Houjian Li, Xinya Huang, Fangyuan Luo, et al.
Journal of Applied Economics (2025) Vol. 28, Iss. 1
Open Access
A hybrid system with optimized decomposition on random deep learning model for crude oil futures forecasting
Jie Wang, Ying Zhang
Expert Systems with Applications (2025), pp. 126706-126706
Closed Access
Research on Crude Oil Futures Price Prediction Methods: A Perspective Based on Quantum Deep Learning
Dongsheng Zhai, Tianrui Zhang, Guoqiang Liang, et al.
Energy (2025), pp. 135080-135080
Closed Access
A combined model using secondary decomposition for crude oil futures price and volatility forecasting: Analysis based on comparison and ablation experiments
Hao Gong, H. Y. Xing, Yuanyuan Yu, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124196-124196
Closed Access | Times Cited: 4
Forecasting Orange Juice Futures: LSTM, ConvLSTM, and Traditional Models Across Trading Horizons
Apostolos Ampountolas
Journal of risk and financial management (2024) Vol. 17, Iss. 11, pp. 475-475
Open Access | Times Cited: 2
A multiscale time-series decomposition learning for crude oil price forecasting
Jinghua Tan, Z Li, Chuanhui Zhang, et al.
Energy Economics (2024) Vol. 136, pp. 107733-107733
Closed Access | Times Cited: 1
An improved deep temporal convolutional network for new energy stock index prediction
Wei Chen, Ni An, Manrui Jiang, et al.
Information Sciences (2024) Vol. 682, pp. 121244-121244
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
Multistep Brent oil price forecasting with a multi-aspect aeta-heuristic optimization and ensemble deep learning model
Mohammed Alruqimi, Luca Di Persio
Energy Informatics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1
A novel selective ensemble point and interval prediction system for energy futures price: Forming a new multi-objective modeling paradigm
Jingyi Wang
Applied Intelligence (2024) Vol. 54, Iss. 7, pp. 5465-5485
Closed Access
Prediction OPEC oil price utilizing long short-term memory and multi-layer perceptron models
Hiyam Abdulrahim, Safiya Mukhtar Alshibani, Omer Ibrahim, et al.
Alexandria Engineering Journal (2024) Vol. 110, pp. 607-612
Open Access
A novel hybrid forecasting system for crude oil futures prices: a dual perspective of deterministic forecasting and uncertainty analysis
Hua Luo, Yue Yu
Heliyon (2024) Vol. 10, Iss. 21, pp. e39818-e39818
Open Access
A hybrid model based on iTransformer for risk warning of crude oil price fluctuations
Jinchao Li, Yang Guo
Energy (2024), pp. 134199-134199
Closed Access
A Deep Model of Futures Contracts Based on Multi contract Collaborative Prediction
Rong Guan, Zhen Xian Lin, Pengfei Xiao, et al.
Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering (2024), pp. 29-33
Closed Access
Optimizing the extreme gradient boosting algorithm through the use of metaheuristic algorithms in sales forecasting
Bahadır Gülsün, Muhammed Resul Aydin
Research Square (Research Square) (2024)
Open Access
Tree-Based Models Versus Neural Network in Predicting Energy​ Commodities Futures
Xibin Zhang, Yihe Qian, Yang Zhang
(2024)
Closed Access
Towards Precision: A Comparative Analysis of Crude Oil Price Forecasting Approaches
Manan Sodha, Rudra Kalyan Nayak, Nilamadhab Mishra, et al.
Learning and analytics in intelligent systems (2024), pp. 140-151
Closed Access
Optimal Pricing and Replenishment Strategy of Goods by Using ARIMA Time Series Prediction Model
Xiaohan Zhou, Yuming Ma, Xianyang Li, et al.
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 655-660
Closed Access
Crude oil future price forecasting using pretrained transformer model
Kaijian He, Lean Yu, Yingchao Zou
Procedia Computer Science (2024) Vol. 242, pp. 288-293
Open Access
Volatility and Skewness Predictability with Deep Learning and Big Data: Chinese Futures Market Case
Jiancheng Shen, Jia Wang, Xuejun Ma, et al.
(2024)
Closed Access
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