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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 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

Showing 11 citing articles:

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 Novel Forecasting Framework Leveraging Large Language Model and Machine Learning for Methanol Price
Wenyang Wang, Yuping Luo, Mingrui Ma, et al.
Energy (2025), pp. 135123-135123
Closed Access
A crude oil price forecasting framework based on Constraint Guarantee and Pareto Fronts Shrinking Strategy
Y. Chen, Zhirui Tian
Applied Soft Computing (2025), pp. 112996-112996
Closed Access
Investigation of causal public opinion indexes for price fluctuation in vegetable marketing
Youzhu Li, Jinyu Yao, Jingjing Song, et al.
Computers & Electrical Engineering (2024) Vol. 116, pp. 109227-109227
Closed Access | Times Cited: 2
A novel link prediction model for interval-valued crude oil prices based on complex network and multi-source information
Jinpei Liu, Xiaoman Zhao, Rui Luo, et al.
Applied Energy (2024) Vol. 376, pp. 124261-124261
Closed Access | Times Cited: 2
Maritime Fuel Price Prediction of European Ports using Least Square Boosting and Facebook Prophet: Additional Insights from Explainable Artificial Intelligence
Indranil Ghosh, Arijit De
Transportation Research Part E Logistics and Transportation Review (2024) Vol. 189, pp. 103686-103686
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
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
Does intraday high-frequency investor sentiment help forecast stock returns? Evidence from the MIDAS models
Xiaojun Chu, Yefu Gu
China Finance Review International (2024)
Closed Access
Do OPEC+ policies help predict the oil price: A novel news-based predictor
Jingjing Li, Zhanjiang Hong, Lean Yu, et al.
Heliyon (2024) Vol. 10, Iss. 14, pp. e34437-e34437
Open Access
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