Open Access Helper

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:

Convolutional Neural Network for Predicting Failure Type in Concrete Cylinders During Compression Testing
Jose Manuel Palomino Ojeda, Billy Alexis Cayatopa Calderón, Lenin Quiñones Huatangari, et al.
Civil Engineering Journal (2023) Vol. 9, Iss. 9, pp. 2105-2119
Open Access | Times Cited: 8

Showing 8 citing articles:

Investigation of the fracture behavior of cemented waste rock-tailing backfill by digital image correlation technique and discrete element modeling
Tianyu Zhu, Zhonghui Chen, Jian Cao, et al.
Construction and Building Materials (2024) Vol. 428, pp. 136367-136367
Closed Access | Times Cited: 9
Energy evolution and mechanical properties of modified magnesium slag-based backfill materials at different curing temperatures
Lang Liu, Xiang Ding, Bingbing Tu, et al.
Construction and Building Materials (2023) Vol. 411, pp. 134555-134555
Closed Access | Times Cited: 10
IF-EDAAN: An information fusion-enhanced domain adaptation attention network for unsupervised transfer fault diagnosis
Cuiying Lin, Yun Kong, Qinkai Han, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112180-112180
Closed Access | Times Cited: 3
The Application of Neural Networks to Predict the Water Evaporation Percentage and the Plastic Shrinkage Size of Self-Compacting Concrete Structure
Nguyễn Hùng Cường, Trần Hoài Linh
Civil Engineering Journal (2024) Vol. 10, Iss. 1, pp. 117-130
Open Access | Times Cited: 1
Prediction of compressive strength of concrete under various curing conditions: a comparison of machine learning models and empirical mathematical models
Bochao Sun, Yuxiang Huang, Gaoyang Liu, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 7
Closed Access | Times Cited: 1
A One-Step Methodology for Identifying Concrete Pathologies Using Neural Networks—Using YOLO v8 and Dataset Review
Joel de Conceição Nogueira Diniz, Anselmo Cardoso de Paiva, Geraldo Bráz, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4332-4332
Open Access
Structural damage detection for a small population of nominally equal beams using PSO-optimized Convolutional Neural Networks
Dianelys Vega Ruiz, Cássio Bragança, Bernardo Lopes Poncetti, et al.
Mechanical Systems and Signal Processing (2024) Vol. 225, pp. 112276-112276
Closed Access
High-Performance Concrete from Rubber and Shell Waste Materials: Experimental and Computational Analysis
A.S. Miranda, Ricardo C. Muñoz, Cristopher Aedo, et al.
Materials (2024) Vol. 17, Iss. 22, pp. 5516-5516
Open Access
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