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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:

Monthly Henry Hub natural gas spot prices forecasting using variational mode decomposition and deep belief network
Jinchao Li, Qianqian Wu, Yu Tian, et al.
Energy (2021) Vol. 227, pp. 120478-120478
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 320
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: 115
Palladium Price Predictions via Machine Learning
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 40
Predictions of steel price indices through machine learning for the regional northeast Chinese market
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 33, pp. 20863-20882
Closed Access | Times Cited: 39
Thermal coal futures trading volume predictions through the neural network
Bingzi Jin, Xiaojie Xu, Yun Zhang
Journal of Modelling in Management (2024)
Closed Access | Times Cited: 22
Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 15
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
Wendong Yang, Shaolong Sun, Hao Yan, et al.
Energy (2021) Vol. 238, pp. 121989-121989
Closed Access | Times Cited: 100
Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network
Jun Wang, Junxing Cao, Shan Yuan, et al.
Energy (2021) Vol. 233, pp. 121082-121082
Closed Access | Times Cited: 89
Industrial artificial intelligence based energy management system: Integrated framework for electricity load forecasting and fault prediction
Yusha Hu, Jigeng Li, Mengna Hong, et al.
Energy (2022) Vol. 244, pp. 123195-123195
Open Access | Times Cited: 41
Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products
Xiaojie Xu, Yun Zhang
Mineral Economics (2022) Vol. 36, Iss. 4, pp. 563-582
Closed Access | Times Cited: 39
Pattern Recognition and Deep Learning Technologies, Enablers of Industry 4.0, and Their Role in Engineering Research
Joel Serey, Miguel Alfaro, Guillermo Fuertes, et al.
Symmetry (2023) Vol. 15, Iss. 2, pp. 535-535
Open Access | Times Cited: 30
Scrap steel price forecasting with neural networks for east, north, south, central, northeast, and southwest China and at the national level
Xiaojie Xu, Yun Zhang
Ironmaking & Steelmaking Processes Products and Applications (2023) Vol. 50, Iss. 11, pp. 1683-1697
Closed Access | Times Cited: 30
Does the connectedness among fossil energy returns matter for renewable energy stock returns? Fresh insights from the Cross-Quantilogram analysis
Jiahao Zhang, Xiaodan Chen, Wei Yu, et al.
International Review of Financial Analysis (2023) Vol. 88, pp. 102659-102659
Closed Access | Times Cited: 27
How do climate risks impact the contagion in China's energy market?
Kun Guo, Yuxin Kang, Dandan Ma, et al.
Energy Economics (2024) Vol. 133, pp. 107450-107450
Closed Access | Times Cited: 14
Carbon emission price point-interval forecasting based on multivariate variational mode decomposition and attention-LSTM model
Liling Zeng, Huanling Hu, Huajun Tang, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111543-111543
Closed Access | Times Cited: 10
Connectivity and spillover during crises: Highlighting the prominent and growing role of green energy
Ameet Kumar Banerjee, Ahmet Şensoy, John W. Goodell
Energy Economics (2023) Vol. 129, pp. 107224-107224
Closed Access | Times Cited: 20
Natural gas spot price prediction research under the background of Russia-Ukraine conflict - based on FS-GA-SVR hybrid model
Yunan Zheng, Jian Luo, Jinbiao Chen, et al.
Journal of Environmental Management (2023) Vol. 344, pp. 118446-118446
Closed Access | Times Cited: 19
Scrap steel price predictions for southwest China via machine learning
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2025) Vol. 12
Closed Access
A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases
Rabin K. Jana, Indranil Ghosh
Annals of Operations Research (2022)
Open Access | Times Cited: 25
Effects of macroeconomic factors on stock prices for BRICS using the variational mode decomposition and quantile method
Xiangning Wang, Qian Huang, Shuguang Zhang
The North American Journal of Economics and Finance (2023) Vol. 67, pp. 101939-101939
Closed Access | Times Cited: 12
Regional steel price index predictions for the southwest Chinese market through machine learning
Bingzi Jin, Xiaojie Xu
Ironmaking & Steelmaking Processes Products and Applications (2024)
Closed Access | Times Cited: 4
A Novel Hybrid Nonlinear Forecasting Model for Interval‐Valued Gas Prices
Haowen Bao, Yongmiao Hong, Yuying Sun, et al.
Journal of Forecasting (2025)
Closed Access
Fossil energy market price prediction by using machine learning with optimal hyper-parameters: A comparative study
Salim Lahmiri
Resources Policy (2024) Vol. 92, pp. 105008-105008
Closed Access | Times Cited: 3
Machine learning Brent crude oil price forecasts
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2024) Vol. 11
Closed Access | Times Cited: 3
Comparative study on monthly natural gas vehicle fuel consumption and industrial consumption using multi-hybrid forecast models
Zeydin Pala
Energy (2022) Vol. 263, pp. 125826-125826
Closed Access | Times Cited: 13
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