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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:

Prediction of bearing capacity of pile foundation using deep learning approaches
Manish Kumar, Divesh Ranjan Kumar, Jitendra Khatti, et al.
Frontiers of Structural and Civil Engineering (2024) Vol. 18, Iss. 6, pp. 870-886
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Deep Learning and Genetic Programming-Based Soft-Computing Prediction Models for Metakaolin Mortar
Manish Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 1
Closed Access | Times Cited: 3
Advanced predictive machine and deep learning models for round-ended CFST column
Feng Shen, Ishan Jha, Haytham F. Isleem, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
A novel approach to analyzing the 3D slope of Mount St. Helens via soft computing techniques
Sumit Kumar, Divesh Ranjan Kumar, Manish Kumar, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access | Times Cited: 2
Assessment of short and long-term pozzolanic activity of natural pozzolans using machine learning approaches
Jitendra Khatti, Berivan Yılmazer Polat
Structures (2024) Vol. 68, pp. 107159-107159
Closed Access | Times Cited: 15
Assessment of soil classification based on cone penetration test data for Kaifeng area using optimized support vector machine
Hanliang Bian, Ziqi Sun, J. M. Bian, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Prediction of permeability coefficient of soil using hybrid artificial neural network models
Majid M. Kharnoob, Tarak Vora, A K Dasarathy, et al.
Modeling Earth Systems and Environment (2025) Vol. 11, Iss. 1
Closed Access | Times Cited: 1
Assessment of compressive strength of eco-concrete reinforced using machine learning tools
Houcine Bentegri, Mohamed Rabehi, Samir Kherfane, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Hybrid machine learning models for predicting compressive strength of self-compacting concrete: an integration of ANFIS and Metaheuristic algorithm
Somdutta, Baboo Rai
Nondestructive Testing And Evaluation (2025), pp. 1-33
Closed Access | Times Cited: 1
Application of novel deep neural network on prediction of compressive strength of fly ash based concrete
Rahul Biswas, Manish Kumar, Divesh Ranjan Kumar, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-31
Closed Access | Times Cited: 8
Prediction of time-dependent bearing capacity of concrete pile in cohesive soil using optimized relevance vector machine and long short-term memory models
Jitendra Khatti, Mohammadreza Khanmohammadi, Yewuhalashet Fissha
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
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
Prediction of elastic settlement of rectangular footing using machine learning techniques
Rashid Mustafa, Ankit Anshuman
Arabian Journal of Geosciences (2025) Vol. 18, Iss. 2
Closed Access
Estimation of soil liquefaction using artificial intelligence techniques: an extended comparison between machine and deep learning approaches
Eyyüp Hakan Şehmusoğlu, Талас Фикрет Курназ, Caner Erden
Environmental Earth Sciences (2025) Vol. 84, Iss. 5
Open Access
Load-deformation prediction of bored piles using sequential soil profile encoding with transformer architecture: A study of Bangkok subsoil
Sompote Youwai, Chissanupong Thongnoo
Expert Systems with Applications (2025), pp. 127085-127085
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
Prediction of slope stability based on five machine learning techniques approaches: a comparative study
Soe Hlaing Tun, Chusheng Zeng, F Guimaraes Silvio Jamil
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 5
Closed Access
Developing advanced datadriven framework to predict the bearing capacity of piles on rock
Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom‬, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An interpretable deep learning model for the accurate prediction of mean fragmentation size in blasting operations
Baoqian Huan, Xianglong Li, Jianguo Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Prediction of residual stresses in GFRP strips under wind-sand erosion by interpretable machine learning methods: feature engineering and SHAP analysis
Wenhao Ren, A Siha, Changdong Zhou, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 6
Closed Access
Lateral response of offshore wind turbine monopile foundations in sloping ground under scour condition
Javad Saeidaskari, Raju Datla, Rita L. Sousa
Marine Georesources and Geotechnology (2025), pp. 1-23
Closed Access
Machine learning-based prediction of heating values in municipal solid waste
Mansour Baziar, Mahmood Yousefi, Vahide Oskoei, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Leveraging data-driven machine learning techniques to enhance bearing capacity estimation in prebored and precast piles
Seunghwan Seo, Gunwoong Kim, Jong‐Bae Park, et al.
Expert Systems with Applications (2025), pp. 128070-128070
Closed Access
Predictive Genetic Programming Approaches for Swell-Shrink Soil Compaction
Fazal E. Jalal, Xiaohua Bao, Maher Omar
Earth Science Informatics (2024)
Closed Access | Times Cited: 3
Effect of multicollinearity in assessing the compaction and strength parameters of lime-treated expansive soil using artificial intelligence techniques
Amit Kumar Jangid, Jitendra Khatti, Kamaldeep Singh Grover
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 8, Iss. 1
Closed Access | Times Cited: 3
Regression Machine Learning Models for Probabilistic Stability Assessment of Buried Pipelines in Spatially Random Clays
Bounhome Chansavang, Khamnoy Kounlavong, Divesh Ranjan Kumar, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 2
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