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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 decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting
Lean Yu, Zishu Wang, Ling Tang
Applied Energy (2015) Vol. 156, pp. 251-267
Closed Access | Times Cited: 184

Showing 1-25 of 184 citing articles:

Machine learning in energy economics and finance: A review
Hamed Ghoddusi, Germán G. Creamer, Nima Rafizadeh
Energy Economics (2019) Vol. 81, pp. 709-727
Closed Access | Times Cited: 350
A combined model based on CEEMDAN and modified flower pollination algorithm for wind speed forecasting
Wenyu Zhang, Zongxi Qu, Kequan Zhang, et al.
Energy Conversion and Management (2017) Vol. 136, pp. 439-451
Closed Access | Times Cited: 336
Multi-step ahead electricity price forecasting using a hybrid model based on two-layer decomposition technique and BP neural network optimized by firefly algorithm
Deyun Wang, Hongyuan Luo, Olivier Grunder, et al.
Applied Energy (2017) Vol. 190, pp. 390-407
Closed Access | Times Cited: 281
A novel hybrid decomposition-and-ensemble model based on CEEMD and GWO for short-term PM2.5 concentration forecasting
Mingfei Niu, Yufang Wang, Shaolong Sun, et al.
Atmospheric Environment (2016) Vol. 134, pp. 168-180
Closed Access | Times Cited: 245
Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression
Bangzhu Zhu, Dong Han, Ping Wang, et al.
Applied Energy (2017) Vol. 191, pp. 521-530
Open Access | Times Cited: 245
A novel hybrid model for air quality index forecasting based on two-phase decomposition technique and modified extreme learning machine
Deyun Wang, Shuai Wei, Hongyuan Luo, et al.
The Science of The Total Environment (2016) Vol. 580, pp. 719-733
Closed Access | Times Cited: 225
A hybrid model for carbon price forecasting using GARCH and long short-term memory network
Yumeng Huang, Xingyu Dai, Qunwei Wang, et al.
Applied Energy (2021) Vol. 285, pp. 116485-116485
Closed Access | Times Cited: 225
Oil price forecasting using a hybrid model
Ali Safari, Maryam Davallou
Energy (2018) Vol. 148, pp. 49-58
Closed Access | Times Cited: 162
Price forecasting through neural networks for crude oil, heating oil, and natural gas
Bingzi Jin, Xiaojie Xu
Deleted Journal (2024) Vol. 1, pp. 100001-100001
Open Access | Times Cited: 135
Financing efficiency in natural resource markets mobilizing private and public capital for a green recovery
Juan Yan, Muhammad Haroon
Resources Policy (2023) Vol. 85, pp. 103841-103841
Closed Access | Times Cited: 70
A multi-energy load forecasting method based on complementary ensemble empirical model decomposition and composite evaluation factor reconstruction
Kang Li, Pengfei Duan, Xiaodong Cao, et al.
Applied Energy (2024) Vol. 365, pp. 123283-123283
Closed Access | Times Cited: 17
A multi-scale analysis method with multi-feature selection for house prices forecasting
Jin Shao, Lean Yu, Nengmin Zeng, et al.
Applied Soft Computing (2025), pp. 112779-112779
Closed Access | Times Cited: 2
A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting
Ping Jiang, Hufang Yang, Jiani Heng
Applied Energy (2018) Vol. 235, pp. 786-801
Closed Access | Times Cited: 153
A decomposition-clustering-ensemble learning approach for solar radiation forecasting
Shaolong Sun, Shouyang Wang, Guowei Zhang, et al.
Solar Energy (2018) Vol. 163, pp. 189-199
Closed Access | Times Cited: 145
A multiscale analysis for carbon price drivers
Bangzhu Zhu, Shunxin Ye, Dong Han, et al.
Energy Economics (2018) Vol. 78, pp. 202-216
Closed Access | Times Cited: 145
Carbon price forecasting with variational mode decomposition and optimal combined model
Jiaming Zhu, Peng Wu, Huayou Chen, et al.
Physica A Statistical Mechanics and its Applications (2018) Vol. 519, pp. 140-158
Closed Access | Times Cited: 124
Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer
Zhongpei Cen, Jun Wang
Energy (2018) Vol. 169, pp. 160-171
Closed Access | Times Cited: 116
A hybrid VMD–BiGRU model for rubber futures time series forecasting
Qing Zhu, Fan Zhang, Shan Liu, et al.
Applied Soft Computing (2019) Vol. 84, pp. 105739-105739
Closed Access | Times Cited: 112
A hybrid model based on selective ensemble for energy consumption forecasting in China
Jin Xiao, Yuxi Li, Ling Xie, et al.
Energy (2018) Vol. 159, pp. 534-546
Closed Access | Times Cited: 108
A new hybrid model for forecasting Brent crude oil price
Hooman Abdollahi, Seyed Babak Ebrahimi
Energy (2020) Vol. 200, pp. 117520-117520
Closed Access | Times Cited: 107
Forecasting crude oil prices: A scaled PCA approach
Mengxi He, Yaojie Zhang, Danyan Wen, et al.
Energy Economics (2021) Vol. 97, pp. 105189-105189
Closed Access | Times Cited: 95
A novel decomposition‐ensemble model for forecasting short‐term load‐time series with multiple seasonal patterns
Xiaobo Zhang, Jianzhou Wang
Applied Soft Computing (2018) Vol. 65, pp. 478-494
Closed Access | Times Cited: 92
Monthly crude oil spot price forecasting using variational mode decomposition
Jinchao Li, Shaowen Zhu, Qianqian Wu
Energy Economics (2019) Vol. 83, pp. 240-253
Closed Access | Times Cited: 92
A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting
Yishan Ding
Energy (2018) Vol. 154, pp. 328-336
Closed Access | Times Cited: 87
A hybrid model for multi-step coal price forecasting using decomposition technique and deep learning algorithms
Kefei Zhang, Hua Cao, Jesse Van Griensven Thé, et al.
Applied Energy (2021) Vol. 306, pp. 118011-118011
Closed Access | Times Cited: 85
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