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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:

Predicting grout’s uniaxial compressive strength (UCS) for fully grouted rock bolting system by applying ensemble machine learning techniques
Shahab Hosseini, Shima Entezam, Behshad Jodeiri Shokri, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18387-18412
Open Access | Times Cited: 9

Showing 9 citing articles:

Dimensionless Machine Learning: Dimensional Analysis to Improve LSSVM and ANN models and predict bearing capacity of circular foundations
Hongchao Li, Shahab Hosseini, Behrouz Gordan, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access | Times Cited: 1
Data-Driven Optimized XGBoost and LightGBM for Predicting the Judd-Ofelt Parameters in Rare-Earth Doped Phosphate-Based Glasses
Fahimeh Ahmadi, Mohsen Hajihassani, Stefanos Papanikolaou, et al.
Ceramics International (2025)
Closed Access
Robust Prediction of Water Arsenic Levels Downstream of Gold Mines Affected by Acid Mine Drainage Using Hybrid Ensemble Machine Learning and Soft Computing
Ezzeddin Bakhtavar, Shahab Hosseini, Haroon R. Mian, et al.
Journal of Hazardous Materials (2025) Vol. 489, pp. 137665-137665
Closed Access
Data-driven resilient model development and feature selection for rock compressive strength prediction using machine learning and transformer techniques
Md Mamunur Rahaman, Mohammad Islam Miah
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access
Assessment of mechanical properties of rock using deep learning approaches
Xiaohua Ding, Mahdi Hasanipanah, Mohammad Rezaei
Measurement (2025), pp. 117180-117180
Closed Access
Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems
Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9925-9925
Open Access | Times Cited: 4
Soft Computing Techniques to Model the Compressive Strength in Geo-Polymer Concrete: Approaches Based on an Adaptive Neuro-Fuzzy Inference System
Zhiguo Chang, Xuyang Shi, Kaidan Zheng, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3505-3505
Open Access | Times Cited: 1
Digital Industrial Design Method in Architectural Design by Machine Learning Optimization: Towards Sustainable Construction Practices of Geopolymer Concrete
Xiaoyan Wang, Yantao Zhong, Fei Zhu, et al.
Buildings (2024) Vol. 14, Iss. 12, pp. 3998-3998
Open Access
Analysing Double Shearing Mechanism in Fiberglass Rock Bolting Systems: a Comprehensive Analytical Model and Numerical Simulation Approach
Peter Gregor, Ali Mirzaghorbanali, Kevin McDougall, et al.
Geotechnical and Geological Engineering (2024)
Open Access
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