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 fusion of neural, genetic and ensemble machine learning approaches for enhancing the engineering predictive capabilities of lightweight foamed reinforced concrete beam
Chen Yang, Jie Zeng, Jianping Jia, et al.
Powder Technology (2024) Vol. 440, pp. 119680-119680
Closed Access | Times Cited: 5

Showing 5 citing articles:

Prediction of the shear strength of lightweight concrete beams without web reinforcement based on a machine learning model optimized by a genetic algorithm
Kaize Ma, Lei Qiao, Guirui Lin, et al.
Structures (2024) Vol. 65, pp. 106738-106738
Closed Access | Times Cited: 6

Prediction of fracture toughness of concrete using the machine learning approach
Alireza Bagher Shemirani
Theoretical and Applied Fracture Mechanics (2024) Vol. 134, pp. 104749-104749
Closed Access | Times Cited: 2

Machine Learning Prediction and Evaluation for Structural Damage Comfort of Suspension Footbridge
Shaojie Zhao, Xing Tang, Du YongJun
Buildings (2024) Vol. 14, Iss. 5, pp. 1344-1344
Open Access

Development of a learner model tool for predicting strength and embodied carbon for lightweight concrete production
Promise D. Nukah, Samuel J. Abbey, Colin A. Booth
Journal of Building Engineering (2024) Vol. 95, pp. 110330-110330
Open Access

Robustness of hybrid light gradient boosting for concrete creep compliance prediction
Viet‐Linh Tran, Duc‐Kien Thai, Jin-Kook Kim
Advances in Engineering Software (2024) Vol. 201, pp. 103831-103831
Closed Access

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