Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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–integration model with dynamic fuzzy reconstruction for crude oil price prediction and the implications for sustainable development
Jian Chai, Yaru Wang, Shouyang Wang, et al.
Journal of Cleaner Production (2019) Vol. 229, pp. 775-786
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

The Influence of the International Price of Oil on the Value of the EUR/USD Exchange Rate
Marek Vochоzka, Zuzana Rowland, Petr Šuleř, et al.
Journal of Competitiveness (2020) Vol. 12, Iss. 2, pp. 167-190
Open Access | Times Cited: 151
Predicting China's carbon price based on a multi-scale integrated model
Shaozhou Qi, Shihan Cheng, Xiujie Tan, et al.
Applied Energy (2022) Vol. 324, pp. 119784-119784
Closed Access | Times Cited: 69
A new crude oil price forecasting model based on variational mode decomposition
Yusheng Huang, Yong Deng
Knowledge-Based Systems (2020) Vol. 213, pp. 106669-106669
Closed Access | Times Cited: 129
Predicting future Brent oil price on global markets
Marek Vochоzka, Tomáš Krulický, Pedro Pardal
Acta Montanistica Slovaca (2020) Vol. 25, pp. 375-392
Open Access | Times Cited: 121
A multi-factor integrated model for carbon price forecasting: Market interaction promoting carbon emission reduction
Lu‐Tao Zhao, Jing Miao, Shen Qu, et al.
The Science of The Total Environment (2021) Vol. 796, pp. 149110-149110
Closed Access | Times Cited: 86
A combination forecasting model based on hybrid interval multi-scale decomposition: Application to interval-valued carbon price forecasting
Jinpei Liu, Piao Wang, Huayou Chen, et al.
Expert Systems with Applications (2021) Vol. 191, pp. 116267-116267
Closed Access | Times Cited: 79
Water quality forecasting based on data decomposition, fuzzy clustering and deep learning neural network
Jin‐Won Yu, Ju-Song Kim, Xia Li, et al.
Environmental Pollution (2022) Vol. 303, pp. 119136-119136
Closed Access | Times Cited: 62
Input-parameter optimization using a SVR based ensemble model to predict landslide displacements in a reservoir area – A comparative study
Junrong Zhang, Chengyuan Lin, Huiming Tang, et al.
Applied Soft Computing (2023) Vol. 150, pp. 111107-111107
Closed Access | Times Cited: 36
An extended new approach for forecasting short-term wind power using modified fuzzy wavelet neural network: A case study in wind power plant
Saeid Jafarzadeh Ghoushchi, Sobhan Manjili, Abbas Mardani, et al.
Energy (2021) Vol. 223, pp. 120052-120052
Closed Access | Times Cited: 52
Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets
Abdullah Ali Salamai
Expert Systems with Applications (2022) Vol. 211, pp. 118658-118658
Closed Access | Times Cited: 36
McVCsB: A new hybrid deep learning network for stock index prediction
Chenhao Cui, Peiwan Wang, Yong Li, et al.
Expert Systems with Applications (2023) Vol. 232, pp. 120902-120902
Closed Access | Times Cited: 18
Breaking through the limitation of carbon price forecasting: A novel hybrid model based on secondary decomposition and nonlinear integration
Yuqiao Lan, Yubin Huangfu, Zhehao Huang, et al.
Journal of Environmental Management (2024) Vol. 362, pp. 121253-121253
Closed Access | Times Cited: 5
A Decomposition-Integration Framework of Carbon Price Forecasting Based on Econometrics and Machine Learning Methods
Zhehao Huang, Benhuan Nie, Yuqiao Lan, et al.
Mathematics (2025) Vol. 13, Iss. 3, pp. 464-464
Open Access
Enhanced forecasting method for realized volatility of energy futures prices: A secondary decomposition-based deep learning model
Hao Gong, H. Y. Xing, Qianwen Wang
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110321-110321
Closed Access
Prices of conventional and renewable energy as determinants of sustainable and secure energy development: regression model analysis
Sandi Knez, Goran Šimić, Anica Milovanović, et al.
Energy Sustainability and Society (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 21
Climate change and crude oil prices: An interval forecast model with interval-valued textual data
Zishu Cheng, Mingchen Li, Yuying Sun, et al.
Energy Economics (2024) Vol. 134, pp. 107612-107612
Closed Access | Times Cited: 3
A Combined Prediction Model for Hog Futures Prices Based on WOA‐LightGBM‐CEEMDAN
Xiang Wang, Shen Gao, Yibin Guo, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 15
COP optimization of propane pre-cooling cycle by optimal Fin design of heat exchangers: Efficiency and sustainability improvement
Ali Allahyarzadeh-Bidgoli, Daniel Jonas Dezan, Jurandir Itizo Yanagihara
Journal of Cleaner Production (2020) Vol. 271, pp. 122585-122585
Closed Access | Times Cited: 23
A time-frequency-based interval decomposition ensemble method for forecasting gasoil prices under the trend of low-carbon development
Zichun Yan, Fangzhu Tian, Yuying Sun, et al.
Energy Economics (2024) Vol. 134, pp. 107609-107609
Closed Access | Times Cited: 2
Modeling and Analyzing Carbon Emission Market Volatility and Impact: Evidence from Guangdong Province, China
Kangye Tan, Yumeng Wu, Fang Xu, et al.
Systems (2024) Vol. 12, Iss. 11, pp. 458-458
Open Access | Times Cited: 2
A Compound Approach for Monthly Runoff Forecasting Based on Multiscale Analysis and Deep Network with Sequential Structure
Shi Chen, Shuning Dong, Zhiguo Cao, et al.
Water (2020) Vol. 12, Iss. 8, pp. 2274-2274
Open Access | Times Cited: 20
An Explainable Machine Learning Framework for Forecasting Crude Oil Price during the COVID-19 Pandemic
Xinran Gao, Junwei Wang, Liping Yang
Axioms (2022) Vol. 11, Iss. 8, pp. 374-374
Open Access | Times Cited: 11
The Behavioral Mechanism and Forecasting of Beijing Housing Prices from a Multiscale Perspective
Yan Li, Zhaoyang Xiang, Tao Xiong
Discrete Dynamics in Nature and Society (2020) Vol. 2020, pp. 1-13
Open Access | Times Cited: 16
Predictive Scenarios of the Russian Oil Industry; with a Discussion on Macro and Micro Dynamics of Open Innovation in the COVID 19 Pandemic
Vadim V. Ponkratov, Nikolay Kuznetsov, N N Bashkirova, et al.
Journal of Open Innovation Technology Market and Complexity (2020) Vol. 6, Iss. 3, pp. 85-85
Open Access | Times Cited: 14
Sustainable development of Ukraine as a combination of social, economic and environmental components: structural econometric model of three-pillar approach
Larysa Zomchak
IOP Conference Series Earth and Environmental Science (2023) Vol. 1254, Iss. 1, pp. 012125-012125
Open Access | Times Cited: 4
Page 1 - Next Page

Scroll to top