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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 semi-heterogeneous approach to combining crude oil price forecasts
Jue Wang, Xiang Li, Tao Hong, et al.
Information Sciences (2018) Vol. 460-461, pp. 279-292
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Hybrid structures in time series modeling and forecasting: A review
Zahra Hajirahimi, Mehdi Khashei
Engineering Applications of Artificial Intelligence (2019) Vol. 86, pp. 83-106
Closed Access | Times Cited: 187
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
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
A novel system for multi-step electricity price forecasting for electricity market management
Wendong Yang, Jianzhou Wang, Tong Niu, et al.
Applied Soft Computing (2019) Vol. 88, pp. 106029-106029
Closed Access | Times Cited: 103
Forecasting the U.S. oil markets based on social media information during the COVID-19 pandemic
Binrong Wu, Lin Wang, Sirui Wang, et al.
Energy (2021) Vol. 226, pp. 120403-120403
Open Access | Times Cited: 97
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: 81
Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons
Dabin Zhang, Shanying Chen, Liwen Ling, et al.
IEEE Access (2020) Vol. 8, pp. 28197-28209
Open Access | Times Cited: 80
Effective crude oil price forecasting using new text-based and big-data-driven model
Binrong Wu, Lin Wang, Sheng-Xiang Lv, et al.
Measurement (2020) Vol. 168, pp. 108468-108468
Closed Access | Times Cited: 73
Forecasting crude oil price with a new hybrid approach and multi-source data
Yifan Yang, Ju’e Guo, Shaolong Sun, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 101, pp. 104217-104217
Closed Access | Times Cited: 59
A novel carbon price combination forecasting approach based on multi-source information fusion and hybrid multi-scale decomposition
Piao Wang, Jinpei Liu, Zhifu Tao, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105172-105172
Closed Access | Times Cited: 42
Hybrid carbon price forecasting using a deep augmented FEDformer model and multimodel optimization piecewise error correction
Jun‐Tao Hong, Yulong Bai, Yu‐Ting Huang, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123325-123325
Closed Access | Times Cited: 11
A multi-granularity heterogeneous combination approach to crude oil price forecasting
Jue Wang, Hao Zhou, Tao Hong, et al.
Energy Economics (2020) Vol. 91, pp. 104790-104790
Closed Access | Times Cited: 65
Energy price prediction using data-driven models: A decade review
Hongfang Lü, Xin Ma, Minda Ma, et al.
Computer Science Review (2020) Vol. 39, pp. 100356-100356
Closed Access | Times Cited: 64
Artificial bee colony-based combination approach to forecasting agricultural commodity prices
Jue Wang, Zhen Wang, Xiang Li, et al.
International Journal of Forecasting (2019) Vol. 38, Iss. 1, pp. 21-34
Closed Access | Times Cited: 63
Analysis and forecasting of crude oil price based on the variable selection-LSTM integrated model
Quanying Lu, Shaolong Sun, Hongbo Duan, et al.
Energy Informatics (2021) Vol. 4, Iss. S2
Open Access | Times Cited: 42
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: 37
Agricultural Price Prediction Based on Combined Forecasting Model under Spatial-Temporal Influencing Factors
Yan Guo, Dezhao Tang, Wei Tang, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 10483-10483
Open Access | Times Cited: 29
CPPCNDL: Crude oil price prediction using complex network and deep learning algorithms
Makumbonori Bristone, Rajesh Prasad, A. Abubakar
Petroleum (2019) Vol. 6, Iss. 4, pp. 353-361
Open Access | Times Cited: 44
Support Vector Machine Algorithms: An Application to Ship Price Forecasting
Theodore Syriopoulos, Michael Tsatsaronis, Ioannis Karamanos
Computational Economics (2020) Vol. 57, Iss. 1, pp. 55-87
Closed Access | Times Cited: 43
Optimal forecast combination based on PSO-CS approach for daily agricultural future prices forecasting
Liling Zeng, Liwen Ling, Dabin Zhang, et al.
Applied Soft Computing (2022) Vol. 132, pp. 109833-109833
Closed Access | Times Cited: 25
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: 13
Using ARIMA-GARCH Model to Analyze Fluctuation Law of International Oil Price
Ying Xiang
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 19
A new hybrid model for multi-step WTI futures price forecasting based on self-attention mechanism and spatial–temporal graph neural network
Geya Zhao, Minggao Xue, Li Cheng
Resources Policy (2023) Vol. 85, pp. 103956-103956
Closed Access | Times Cited: 12
Evaluating Artificial Intelligence Superiority Over ARIMA in Forecasting Interest Rates and Corporate Bond Pricing
Ayush Jadagoudar
(2025)
Closed Access
Crude oil risk forecasting: New evidence from multiscale analysis approach
Kaijian He, Kwok Fai Tso, Yingchao Zou, et al.
Energy Economics (2018) Vol. 76, pp. 574-583
Open Access | Times Cited: 37
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