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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:

Implementing ensemble learning models for the prediction of shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 7, pp. 2103-2119
Closed Access | Times Cited: 25

Showing 25 citing articles:

Predictive modelling of cohesion and friction angle of soil using gene expression programming: a step towards smart and sustainable construction
Muhammad Naqeeb Nawaz, Badee Alshameri, Zain Maqsood, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 18, pp. 10545-10566
Closed Access | Times Cited: 18
Study on predicting compressive strength of concrete using supervised machine learning techniques
B. Vamsi Varma, Elluri Venkata Prasad, Sudhakar Singha
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 7, pp. 2549-2560
Closed Access | Times Cited: 22
Utilization of Tree-Based Ensemble Models for Predicting the Shear Strength of Soil
Ahsan Rabbani, Jan Afzal Muslih, Mukul Saxena, et al.
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 4, pp. 2382-2405
Closed Access | Times Cited: 11
Optimized ANN-based approach for estimation of shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3627-3640
Closed Access | Times Cited: 15
Optimization of an Artificial Neural Network Using Four Novel Metaheuristic Algorithms for the Prediction of Rock Fragmentation in Mine Blasting
Ahsan Rabbani, Divesh Ranjan Kumar, Yewuhalashet Fissha, et al.
Journal of The Institution of Engineers (India) Series D (2024)
Closed Access | Times Cited: 5
Artificial neural network modeling for mineralogical and strength analysis of clayey soils
Sayali Rautmare, Aakruti Bhimpure, R. S. Dalvi, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 2
Closed Access
Optimization of artificial neural network for predicting radon exhalation rates and effective radium content in soil samples
Selin Erzin
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access
Applications of machine learning in predicting rut depth in off-road environments
Behzad Golanbari, Aref Mardani, Nashmil Farhadi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Evaluating the slope behavior for geophysical flow prediction with advanced machine learning combinations
Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Optimizing soil settlement/consolidation prediction in finland clays: machine learning regressions with bayesian hyperparameter selection
Ahmad Alkhdour, Mahmoud Al Khazaleh, Rakan Al Mnaseer, et al.
Asian Journal of Civil Engineering (2023) Vol. 24, Iss. 8, pp. 3209-3225
Closed Access | Times Cited: 13
Optimization of an Artificial Neural Network Using Three Novel Meta-heuristic Algorithms for Predicting the Shear Strength of Soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari, et al.
Transportation Infrastructure Geotechnology (2023) Vol. 11, Iss. 4, pp. 1708-1729
Closed Access | Times Cited: 10
Data-driven prediction of natural period for existing RC high-rise buildings using probabilistic machine learning methods
Jiazeng Shan, Chenyu Huang, Luji Wang, et al.
Journal of Building Engineering (2024) Vol. 90, pp. 109394-109394
Closed Access | Times Cited: 3
Assessing the shear strength of sandy soil reinforced with polyethylene-terephthalate: an AI-based approach
Masoud Samaei, Morteza Alinejad Omran, Mohsen Keramati, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4507-4526
Closed 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
Prediction of unconfined compressive strength of cement–lime stabilized soil using artificial neural network
Ajay Kumar, Vikash Singh, Sumit Singh, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 2229-2246
Closed Access | Times Cited: 4
Impact of waste foundry sand on drainage behavior of sandy soil: an experimental and machine learning study
Ankit Kumar, Aditya Parihar
AI in Civil Engineering (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Hierarchical Pseudo-Continuous Machine-Learning-Based Pedotransfer Models for Infiltration Curves: An Investigation on the Role of Regularization and Ensemble Modeling
Mahdi Selahvarzi, Seyed Mohammadreza Naghedifar, Arman Oliazadeh, et al.
(2024)
Closed Access | Times Cited: 1
Forecasting airline passengers’ satisfaction based on sentiments and ratings: An application of VADER and machine learning techniques
R. Murugesan, Agnira Rekha, N.A. Nitish, et al.
Journal of Air Transport Management (2024) Vol. 120, pp. 102668-102668
Closed Access
Hierarchical pseudo-continuous machine-learning-based pedotransfer models for infiltration curves: An investigation on the role of regularization and ensemble modeling
Mahdi Selahvarzi, Seyed Mohammadreza Naghedifar, Arman Oliazadeh, et al.
Journal of Hydrology (2024), pp. 132459-132459
Closed Access
GIS Applications and Machine Learning Approaches in Civil Engineering
N. R. Asha Rani, Sasmita Bal, M. Inayathulla
Lecture notes in civil engineering (2024), pp. 157-166
Closed Access
Global Research Trends in Soft Soil Management for Infrastructure Development: Opportunities and Challenges
L. Sim, Herda Yati Katman, Intan Nor Zuliana Baharuddin, et al.
IEEE Access (2024) Vol. 12, pp. 73731-73751
Open Access
Hybrid soil strength prediction model for geotechnical ground investigation using convolutional neural network and ensemble learning
Xuqun Zhang, Zhili Li, Yaohua Sui, et al.
Journal of Physics Conference Series (2024) Vol. 2816, Iss. 1, pp. 012066-012066
Open Access
A hybrid learning approach for simulating settlement of shallow foundation
Jiaman Li, Jundong Wu, Wei Hu
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access
Assessment of soil classification using soft computing approaches for Erenler (Afyonkarahisar) region
Sami Serkan İşoğlu, Ahmet Yıldız, Mahmut Mutlutürk, et al.
Earth Science Informatics (2024) Vol. 18, Iss. 1
Closed Access
Optimized ANN-based Approach for Estimation of Shear Strength of Soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Research Square (Research Square) (2023)
Open Access
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