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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:

Artificial Neural Network model to predict the dynamic properties of sand-polyurethane composite materials for GSI applications
Michele Placido Antonio Gatto, Lorella Montrasio
Soil Dynamics and Earthquake Engineering (2023) Vol. 172, pp. 108032-108032
Open Access | Times Cited: 9

Showing 9 citing articles:

Shear modulus prediction of landfill components using novel machine learners hybridized with forensic-based investigation optimization
Hossein Moradi Moghaddam, Mohsen Keramati, Ahmad Fahimifar, et al.
Construction and Building Materials (2023) Vol. 411, pp. 134443-134443
Closed Access | Times Cited: 9
A new method of rapid-intelligent assessment for the dynamic service performance in high-speed railway subgrade
Zhixing Deng, Kang Xie, Wubin Wang, et al.
International Journal of Rail Transportation (2024), pp. 1-28
Closed Access | Times Cited: 3
Polymer Concretes Based on Various Resins: Modern Research and Modeling of Mechanical Properties
Aleksandr Palamarchuk, Pavel Yudaev, Evgeniy M. Chistyakov
Journal of Composites Science (2024) Vol. 8, Iss. 12, pp. 503-503
Open Access | Times Cited: 3
Application of hybridized ensemble learning and equilibrium optimization in estimating damping ratios of municipal solid waste
Hossein Moradi Moghaddam, Mohsen Keramati, Alireza Bahrami, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Assessment of leachate-contaminated clays using experimental and artificial methods
Hossein Moradi Moghaddam, Ahmad Fahimifar, Taghi Ebadi, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 2
Nonlinear seismic assessment for nuclear power plants with structural-geotechnical hybrid isolation strategy
Yu Liu, Jianbo Li, Lin Gao
Structures (2024) Vol. 67, pp. 107020-107020
Closed Access | Times Cited: 1
AI-driven predictions of the dynamic properties of fine-grained soils in South Italy based on laboratory testing
Michele Placido Antonio Gatto, Francesco Castelli, Valentina Lentini, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 187, pp. 109009-109009
Open Access | Times Cited: 1
Shear strength characteristics of binary mixture sand-carpet fibre using experimental study and machine learning
Firas Daghistani, Abolfazl Baghbani, Hossam Abuel Naga
International Journal of Geotechnical Engineering (2023) Vol. 17, Iss. 5, pp. 449-463
Open Access | Times Cited: 2
Artificial neural network modeling for predicting the carbon black content derived from unserviceable tires for elastomeric composite production
M Cruz, Carlos Toshiyuki Hiranobe, Guilherme Pina Cardim, et al.
Journal of Applied Polymer Science (2024) Vol. 141, Iss. 37
Closed Access
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