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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.

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Showing 26-50 of 35 citing articles:

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
Machine learning Brent crude oil price forecasts
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2024) Vol. 11
Closed Access | Times Cited: 3
Steel price index forecasts through machine learning for northwest China
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 2
Climate change and U.S. Corporate bond market activity: A machine learning approach
Charilaos Mertzanis, Ilias Kampouris, Aristeidis Samitas
Journal of International Money and Finance (2024), pp. 103259-103259
Closed Access | Times Cited: 1
Parametric Dynamic Simulation and Bayesian Design Optimization of a Front-Loading Washing Machine
Fatemeh Hashemian, Haizhou Yang, Yi Wang, et al.
Journal of Vibration Engineering & Technologies (2024)
Open Access | Times Cited: 1
PMformer: A Novel Informer-based Model for Accurate Long-Term Time Series Prediction
Yuewei Xue, Shaopeng Guan, Wanhai Jia
Information Sciences (2024), pp. 121586-121586
Closed Access | Times Cited: 1
Detection of flood-affected areas using multitemporal remote sensing data: a machine learning approach
Robert Kurniawan, Imam Sujono, Wahyu Caesarendra, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
An interpretable surrogate model for H2S solubility forecasting in ionic liquids based on machine learning
Yanjiang He, Ao Yang, Changjun Zou, et al.
Separation and Purification Technology (2024) Vol. 357, pp. 130061-130061
Closed Access
Short-term customer-centric electric load forecasting for low carbon microgrids using a hybrid model
Firuz Ahamed Nahid, Weerakorn Ongsakul, Jai Govind Singh, et al.
Energy Systems (2024)
Closed Access
Numerical Analysis of Gas Hold-Up of Two-Phase Ebullated Bed Reactor
Riyadh S. Almukhtar, Ali Amer Yahya, Omar S. Mahdy, et al.
ChemEngineering (2023) Vol. 7, Iss. 5, pp. 101-101
Open Access
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