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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:

Application of KRR, K-NN and GPR Algorithms for Predicting the Soaked CBR of Fine-Grained Plastic Soils
Gaurav Verma, Brind Kumar, Chintoo Kumar, et al.
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 10, pp. 13901-13927
Open Access | Times Cited: 15

Showing 15 citing articles:

Efficient prediction of California bearing ratio in solid waste-cement-stabilized soil using improved hybrid extreme gradient boosting model
Yiliang Tu, Qianglong Yao, Shuitao Gu, et al.
Materials Today Communications (2025) Vol. 43, pp. 111627-111627
Closed Access | Times Cited: 1
Estimation of California bearing ratio for hill highways using advanced hybrid artificial neural network algorithms
Ishwor Thapa, Sufyan Ghani
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 2, pp. 1119-1144
Closed Access | Times Cited: 21
Natural Gradient Boosting for Probabilistic Prediction of Soaked CBR Values Using an Explainable Artificial Intelligence Approach
E.F. González Díaz, Giovanni Spagnoli
Buildings (2024) Vol. 14, Iss. 2, pp. 352-352
Open Access | Times Cited: 5
Performance assessment of a foundation resting on reinforced collapsible Sabkha soil by deep soil mixing columns using machine learning analyses
Mohamed B. D. Elsawy, Abderrahim Lakhouit, Turki S. Alhmari, et al.
Alexandria Engineering Journal (2025) Vol. 118, pp. 591-605
Closed Access
Stability analysis and prediction of Bimslope failures using numerical modelling and hybrid meta-heuristic models
Arunava Ray, Gopika C. Atul, Sanjog Chhetri Sapkota, et al.
Natural Hazards (2025)
Open Access
Prediction of California Bearing Ratio of nano-silica and bio-char stabilized soft sub-grade soils using explainable machine learning
Ishwor Thapa, Sufyan Ghani, Kenue Abdul Waris, et al.
Transportation Geotechnics (2024), pp. 101387-101387
Closed Access | Times Cited: 3
Machine learning models for predicting physical properties in asphalt road construction: A systematic review
Joerg Leukel, Luca Scheurer, Vijayan Sugumaran
Construction and Building Materials (2024) Vol. 440, pp. 137397-137397
Open Access | Times Cited: 2
FEM-Driven machine learning approach for characterizing stress magnitude, peak temperature and weld zone deformation in ultrasonic welding of metallic multilayers: application to battery cells
Feras Mohammed Al-Matarneh
Modelling and Simulation in Materials Science and Engineering (2024) Vol. 32, Iss. 8, pp. 085009-085009
Closed Access | Times Cited: 2
Can machine learning models predict soil moisture evaporation rates? An investigation via novel feature selection techniques and model comparisons
Priyanka Priyanka, Praveen Kumar, Sucheta Panda, et al.
Frontiers in Earth Science (2024) Vol. 12
Open Access | Times Cited: 1
Enhancing Mine Blasting Safety: Developing Intelligent Systems for Accurate Flyrock Prediction through Optimized Group Method of Data Handling Methods
Xiaohua Ding, Mahdi Hasanipanah, Masoud Monjezi, et al.
Natural Resources Research (2024)
Closed Access | Times Cited: 1
Particle Swarm Optimization–Based Machine Learning Algorithms for Developing the Modified Proctor Compaction Parameter Prediction Software
Gaurav Verma, Brind Kumar, G.D. Ransinchung
Transportation Infrastructure Geotechnology (2023) Vol. 11, Iss. 4, pp. 1492-1519
Closed Access | Times Cited: 2
Enhanced steelmaking cost optimization and real-time alloying element yield prediction: a ferroalloy model based on machine learning and linear programming
Ruixuan Zheng, Yan-ping Bao, Lihua Zhao, et al.
Journal of Iron and Steel Research International (2024)
Closed Access
California bearing ratio and compaction parameters prediction using advanced hybrid machine learning methods
Adel Hassan Yahya Habal, Mohammed Amin‎ Benbouras
Asian Journal of Civil Engineering (2024)
Closed Access
Predictive modeling of sustainable recycled materials for stone column construction
Tasneem Foda, Hassan Hassan, Abdelkader T. Ahmed, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 11
Open Access
Experimental investigation and AutoML prediction of the resilient behaviour of coarse-grained waste rocks
Wenyu Xu, Shengpeng Hao, Zhenyu Zhang
Road Materials and Pavement Design (2024), pp. 1-25
Closed Access
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