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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:

Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks
Mumtaz Ali, Ramendra Prasad, Mehdi Jamei, et al.
Renewable Energy (2023) Vol. 221, pp. 119773-119773
Closed Access | Times Cited: 10

Showing 10 citing articles:

Wave energy forecasting: A state-of-the-art survey and a comprehensive evaluation
Ruobin Gao, Xiaocai Zhang, Maohan Liang, et al.
Applied Soft Computing (2025) Vol. 170, pp. 112652-112652
Closed Access | Times Cited: 1
Power Prediction of Distributed Resource Aggregation Model Based on Optimized Neural Network
Yi Zhao, Xiaoming Zhang, Yuhang Sun, et al.
Lecture notes in electrical engineering (2025), pp. 345-354
Closed Access
Joint interval forecasting of renewable energy stocks using a secondary decomposition approach
Shuihan Liu, Yunjie Wei, Pan Peng, et al.
Renewable Energy (2025), pp. 122763-122763
Closed Access
Applying artificial intelligence for forecasting behavior in a liquefied hydrogen unit
Dongmei Jing, Azher M. Abed, Pinank Patel, et al.
International Journal of Hydrogen Energy (2025) Vol. 114, pp. 31-51
Closed Access
Bayesian-regularized cascaded neural networks for fractional asymmetric carbon-thermal nutrient-plankton dynamics under global warming and climatic perturbations
Muhammad Junaid Ali Asif Raja, A. V. Sultan, Chuan‐Yu Chang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 151, pp. 110739-110739
Closed Access
A Robust Multi-Model Framework for Groundwater Level Prediction: The BFSA-MVMD-GRU-RVM Model
Akram Seifi, Sharareh Pourebrahim, Mohammad Ehteram, et al.
Results in Engineering (2024), pp. 103250-103250
Open Access | Times Cited: 2
Short-Term Photovoltaic Power Generation Based on MVMD Feature Extraction and Informer Model
Ruilin Xu, Jianyong Zheng, Fei Mei, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6279-6279
Open Access | Times Cited: 1
Forecasting River Water Temperature Using Explainable Artificial Intelligence and Hybrid Machine Learning: Case Studies in Menindee Region in Australia
Leyde Briceno, Klaus Jöhnk, Ravinesh C. Deo, et al.
Water (2024) Vol. 16, Iss. 24, pp. 3720-3720
Open Access | Times Cited: 1
Improving wind power forecast accuracy for optimal hybrid system energy management
Ben Ammar Rim, Ben Ammar Mohsen, Abdelmajid Oualha
Journal of Energy Resources Technology (2024) Vol. 146, Iss. 9
Closed Access
Research on Evaluation and Prediction Methods of Cognitive Intentions for Product Morphological Features
Jianwei Yang, Yì Wáng, Min Peng, et al.
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9263-9263
Open Access
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