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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:

Machine learning approach for predicting and evaluating California bearing ratio of stabilized soil containing industrial waste
Lanh Si Ho, Van Quan Tran
Journal of Cleaner Production (2022) Vol. 370, pp. 133587-133587
Closed Access | Times Cited: 37

Showing 1-25 of 37 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
CBR Prediction of Pavement Materials in Unsoaked Condition Using LSSVM, LSTM-RNN, and ANN Approaches
Jitendra Khatti, Kamaldeep Singh Grover
International Journal of Pavement Research and Technology (2023) Vol. 17, Iss. 3, pp. 750-786
Closed Access | Times Cited: 35
A Scientometrics Review of Soil Properties Prediction Using Soft Computing Approaches
Jitendra Khatti, Kamaldeep Singh Grover
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 3, pp. 1519-1553
Closed Access | Times Cited: 22
Use of Machine Learning to Predict California Bearing Ratio of Soils
Semachew Molla Kassa, Betelhem Zewdu Wubineh
Advances in Civil Engineering (2023) Vol. 2023, pp. 1-11
Open Access | Times Cited: 21
CBR of stabilized and reinforced residual soils using experimental, numerical, and machine-learning approaches
Sakina Tamassoki, Nik Norsyahariati Nik Daud, Shanyong Wang, et al.
Transportation Geotechnics (2023) Vol. 42, pp. 101080-101080
Closed Access | Times Cited: 18
Dynamics and causes of cropland Non-Agriculturalization in typical regions of China: An explanation Based on interpretable Machine learning
Guozhuang Zhang, Xia Li, Leyi Zhang, et al.
Ecological Indicators (2024) Vol. 166, pp. 112348-112348
Open Access | Times Cited: 5
Exploring Sustainable Solutions for Soil Stabilization through Explainable Gaussian Process-assisted Multi-Objective Optimization
Gautam, Kritesh Kumar Gupta, Debjit Bhowmik
Materials Today Communications (2024) Vol. 40, pp. 110154-110154
Closed Access | Times Cited: 5
Application of Ensemble-Based Methods for Prediction of Undrained Shear Strength of Soft Sensitive Clays
Vaishnavi Bherde, Koushik Pandit, Umashankar Balunaini
Geo-Congress 2019 (2024), pp. 52-61
Closed Access | Times Cited: 4
Evaluation and estimation of compressive strength of concrete masonry prism using gradient boosting algorithm
Lanh Si Ho, Van Quan Tran
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0297364-e0297364
Open Access | Times Cited: 3
Prediction of Soaked CBR Value of Sub-base Soil Using Artificial Intelligence Model
Ishwor Thapa, Sufyan Ghani
Lecture notes in civil engineering (2024), pp. 325-337
Closed Access | Times Cited: 3
Accurate long-term dust concentration prediction in open-pit mines: A novel machine learning approach integrating meteorological conditions and mine production intensity
Yukun Yang, Wei Zhou, Zhiming Wang, et al.
Journal of Cleaner Production (2023) Vol. 436, pp. 140411-140411
Closed Access | Times Cited: 8
Data-driven approach in investigating and predicting unconfined compressive strength of cemented paste backfill
Quoc Trinh Ngo, Canh Tung Ngo, Quang Hung Nguyen, et al.
Materials Today Communications (2023) Vol. 37, pp. 107065-107065
Closed Access | Times Cited: 7
Real-time inference of compacted soil properties using deflection tests: An AI-driven solution informed by unsaturated soil mechanics principles
Javad Ghorbani, Jayantha Kodikara
Computers and Geotechnics (2024) Vol. 173, pp. 106543-106543
Open Access | Times Cited: 2
Multi-output machine learning for addressing the trade-off between water permeability and wetting resistance in membrane distillation
Jun Ma, Hang Xu, Meng Zhang, et al.
Desalination (2024) Vol. 589, pp. 117953-117953
Closed Access | Times Cited: 2
Intelligent mixture optimization for stabilized soil containing solid waste based on machine learning and evolutionary algorithms
Junzhi Wang, Geng Chen, Yonghui Chen, et al.
Construction and Building Materials (2024) Vol. 445, pp. 137794-137794
Closed Access | Times Cited: 2
Development of prediction models for interlayer shear strength in asphalt pavement using machine learning and SHAP techniques
Rabea Al-Jarazi, Ali Rahman, Changfa Ai, et al.
Road Materials and Pavement Design (2023) Vol. 25, Iss. 8, pp. 1720-1738
Closed Access | Times Cited: 6
Interpretable machine learning model for evaluating mechanical properties of concrete made with recycled concrete aggregate
Xuan Hien Nguyen, Quang Minh Phan, Nguyễn Ngọc Tân, et al.
Structural Concrete (2023) Vol. 25, Iss. 4, pp. 2890-2914
Closed Access | Times Cited: 6
Machine learning approach to railway ballast degradation prognosis considering crumb rubber modification and parent rock strength
Mehdi Koohmishi, Yunlong Guo
Construction and Building Materials (2023) Vol. 409, pp. 133985-133985
Open Access | Times Cited: 5
Selection of single machine learning model for designing compressive strength of stabilized soil containing lime, cement and bitumen
Van Quan Tran
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 1, pp. 239-256
Closed Access | Times Cited: 4
Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning
Tao Hu, Chongchong Qi, Mengting Wu, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 134, pp. 104158-104158
Open Access | Times Cited: 1
Effect of geotechnical soil properties on CBR value: A review
Botlhe B. Pule, Jerome A. Yendaw
IOP Conference Series Earth and Environmental Science (2024) Vol. 1330, Iss. 1, pp. 012026-012026
Open 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
The implementation of a regularized radial basis function model for predicting California bearing capacity
Weiwei Zhan
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 3, pp. 2359-2380
Closed Access
Prediction of California bearing ratio using multi-layer perceptron model based on multiple meta-heuristic optimizers
Jianhong Chen
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 3, pp. 2489-2505
Closed Access
Estimation of California Bearing Ratio of stabilized soil with lime via considering multiple optimizers coupled by RBF neural network
Ling Yang
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 3425-3445
Closed Access
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