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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:

A sentiment-enhanced hybrid model for crude oil price forecasting
Yan Fang, Wenyan Wang, Pengcheng Wu, et al.
Expert Systems with Applications (2022) Vol. 215, pp. 119329-119329
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A short-term wind power forecasting method based on multivariate signal decomposition and variable selection
Ting Yang, Zhenning Yang, Fei Li, et al.
Applied Energy (2024) Vol. 360, pp. 122759-122759
Closed Access | Times Cited: 25
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
Ensemble empirical mode decomposition based deep learning models for forecasting river flow time series
Reetun Maiti, Balagopal G. Menon, Anand Abraham
Expert Systems with Applications (2024) Vol. 255, pp. 124550-124550
Closed Access | Times Cited: 9
Transformer-based forecasting for intraday trading in the Shanghai crude oil market: Analyzing open-high-low-close prices
Wenyang Huang, Tianxiao Gao, Yun Hao, et al.
Energy Economics (2023) Vol. 127, pp. 107106-107106
Closed Access | Times Cited: 18
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
Deep learning-based spatial-temporal graph neural networks for price movement classification in crude oil and precious metal markets
Parisa Foroutan, Salim Lahmiri
Machine Learning with Applications (2024) Vol. 16, pp. 100552-100552
Open Access | Times Cited: 5
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
Enhancing Multi-step Brent Oil Price Forecasting with Ensemble Multi-scenario Bi-GRU Networks
Mohammed Alruqimi, Luca Di Persio
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
Study on deterministic and interval forecasting of electricity load based on multi-objective whale optimization algorithm and transformer model
Pei Du, Yuxin Ye, Han Wu, et al.
Expert Systems with Applications (2025) Vol. 268, pp. 126361-126361
Closed Access
Forecasting Crude Oil Prices: Evidence From WOA-VMD-FE-Transformer Model
Yu Liang, Xi Zhang, Yu Lin, et al.
Computational Economics (2025)
Closed 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
Quantile Connectedness among Climate Policy Uncertainty, News Sentiment, Oil and Renewables in China
Wan‐Lin Yan, Adrian Cheung
Research in International Business and Finance (2025), pp. 102814-102814
Closed 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
Fortify the investment performance of crude oil market by integrating sentiment analysis and an interval-based trading strategy
Kun Yang, Zishu Cheng, Mingchen Li, et al.
Applied Energy (2023) Vol. 353, pp. 122102-122102
Closed Access | Times Cited: 10
Integrating Economic Theory, Domain Knowledge, and Social Knowledge into Hybrid Sentiment Models for Predicting Crude Oil Markets
Himmet Kaplan, Albert Weichselbraun, Adrian Braşoveanu
Cognitive Computation (2023) Vol. 15, Iss. 4, pp. 1355-1371
Open Access | Times Cited: 7
Sentiment-based predictive models for online purchases in the era of marketing 5.0: a systematic review
Veerajay Gooljar, Tomayess Issa, Sarita Hardin-Ramanan, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
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
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
Hybrid Models for Emotion Classification and Sentiment Analysis in Indonesian Language
Hendri Ahmadian, Taufik Fuadi Abidin, Hammam Riza, et al.
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Energy price prediction based on decomposed price dynamics: A parallel neural network approach
Min Zhu, Siyue Zheng, Yu Guo, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111972-111972
Closed Access | Times Cited: 1
Point and Interval Forecasting of Coal Price Adopting a Novel Decomposition Integration Model
Junjie Liu, Lang Liu
Energies (2024) Vol. 17, Iss. 16, pp. 4166-4166
Open Access | Times Cited: 1
Social media-based multi-modal ensemble framework for forecasting soybean futures price
Wuyue An, Lin Wang, Yu‐Rong Zeng
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109439-109439
Closed Access | Times Cited: 1
The role of news sentiment in salmon price prediction using deep learning
Christian‐Oliver Ewald, Yaoyu Li
Journal of commodity markets (2024) Vol. 36, pp. 100438-100438
Open Access | Times Cited: 1
A novel integrated prediction method using adaptive mode decomposition, attention mechanism and deep learning for coking products prices
Xuhui Zhu, Chenggong Ma, Lei Hao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109504-109504
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
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