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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:

Frequency stability prediction of renewable energy penetrated power systems using CoAtNet and SHAP values
Peili Liu, Song Han, Na Rong
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106403-106403
Closed Access | Times Cited: 11

Showing 11 citing articles:

Assessing the nonlinear relationship between consumer goods and water pollution in different seasons with machine learning models: A case study in the Yangtze River Economic Belt
Songhua Huan, Xiuli Liu
Journal of Cleaner Production (2024) Vol. 444, pp. 141254-141254
Closed Access | Times Cited: 10
Prediction of mixing efficiency in induced charge electrokinetic micromixer for non-Newtonian fluids using hybrid computational fluid dynamics-artificial neural network approach
Anshul Kumar Bansal, Siddharth Suman, Manish Kumar, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108371-108371
Closed Access | Times Cited: 5
A novel hybrid group method of data handling and Levenberg Marquardt model for estimating total organic carbon in source rocks with explainable artificial intelligence
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110137-110137
Closed Access
Determination Method of Optimal Reserve Margin based on Explainable AI using Gaussian Process Regression Model and SHAP
Keito Nishida, Ryuto Shigenobu, Akiko Takahashi, et al.
IEEJ Transactions on Power and Energy (2025) Vol. 145, Iss. 2, pp. 226-238
Closed Access
A Hierarchical Deep Learning-Based Recurrent Convolutional Neural Network for Robust Voltage and Frequency Operation Management in Microgrids
Nima Khosravi, Hamid Reza Abdolmohammadi
Applied Soft Computing (2024) Vol. 170, pp. 112645-112645
Closed Access | Times Cited: 4
Intelligent identification of power grid parameters based on dynamic weighting
G.-L. Zou, Min Xia, Liudong Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108822-108822
Closed Access | Times Cited: 2
A benchmarking framework for eye-tracking-based vigilance prediction of vessel traffic controllers
Zhimin Li, Ruilin Li, Liqiang Yuan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107660-107660
Closed Access | Times Cited: 7
Lazy deep Q networks for unified rotor angle stability framework with unified time-scale of power systems with mass distributed energy storage
Linfei Yin, Nan Mo, Yuejiang Lu
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107129-107129
Closed Access | Times Cited: 3
Design of a resilient wide-area damping controller using time delays
Murilo E. C. Bento
Electrical Engineering (2024)
Closed Access
Prediction of force chains for dense granular flows using machine learning approach
Ching-Hung Cheng, Cheng-Chuan Lin
Physics of Fluids (2024) Vol. 36, Iss. 8
Closed Access
Predicting the properties of metamaterials consisting of curved-wall triangles using ensemble neural networks with interpretability
Shaowei Zhu, Mingdu Wen, Zhuo Lv, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109408-109408
Closed Access
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