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:

Structural identification of super high arch dams using Gaussian process regression with improved salp swarm algorithm
Fei Kang, Yingrui Wu, Jianting Ma, et al.
Engineering Structures (2023) Vol. 286, pp. 116150-116150
Closed Access | Times Cited: 37

Showing 26-50 of 37 citing articles:

A comparative study of machine learning regression models for production systems condition monitoring
Dragan Janković, Milan Simić, Niko Herakovič
Advances in Production Engineering & Management (2024) Vol. 19, Iss. 1, pp. 78-92
Open Access

A multipoint prediction model for the deformation of concrete dams considering climatic features of high-altitude regions
Mingkai Liu, Zhiping Wen, Huaizhi Su
Engineering Structures (2024) Vol. 319, pp. 118845-118845
Closed Access

A review of artificial intelligence in dam engineering
Wenxuan Cao, Xinbin Wu, Junjie Li, et al.
Journal of Infrastructure Intelligence and Resilience (2024) Vol. 4, Iss. 1, pp. 100122-100122
Open Access

Research on the mechanical behavior law of local damage of insulation board during the operation period of high arch dams
Gaochao Li, Jie Yang, Lin Cheng, et al.
Structures (2024) Vol. 68, pp. 107216-107216
Closed Access

Intelligent Detection of Underwater Defects in Concrete Dams Based on YOLOv8s-UEC
Chenxi Liang, Yang Zhao, Fei Kang
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8731-8731
Open Access

Sonar combines deep learning and building information modeling for underwater crack detection of concrete structures
Wenxuan Cao, Junjie Li, Xuewu Zhang, et al.
Structures (2024) Vol. 70, pp. 107834-107834
Closed Access

Leveraging machine learning to model salinity and water flux for improved insights into forward osmosis membrane bioreactors
Ali Aldrees, Bilal Siddiq, Wael S. Al-Rashed, et al.
Journal of Water Process Engineering (2024) Vol. 68, pp. 106585-106585
Closed Access

Experimental analysis and gene expression programming optimization of sustainable concrete containing mineral fillers
Abdul Rauf, Usama Asif, Kennedy C. Onyelowe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access

Data-driven deformation prediction model for super high arch dams based on a hybrid deep learning approach and feature selection
Yingrui Wu, Fei Kang, Sisi Zhu, et al.
Engineering Structures (2024) Vol. 325, pp. 119483-119483
Closed Access

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