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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:

An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil
Muhammad Nouman Amjad Raja, Sanjay Kumar Shukla, Muhammad Umer Arif Khan
International Journal of Pavement Engineering (2021) Vol. 23, Iss. 10, pp. 3505-3521
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Predicting the settlement of geosynthetic-reinforced soil foundations using evolutionary artificial intelligence technique
Muhammad Nouman Amjad Raja, Sanjay Kumar Shukla
Geotextiles and Geomembranes (2021) Vol. 49, Iss. 5, pp. 1280-1293
Open Access | Times Cited: 125
A novel integrated approach of augmented grey wolf optimizer and ANN for estimating axial load carrying-capacity of concrete-filled steel tube columns
Abidhan Bardhan, Rahul Biswas, Navid Kardani, et al.
Construction and Building Materials (2022) Vol. 337, pp. 127454-127454
Closed Access | Times Cited: 91
Prediction of compaction parameters for fine-grained soil: Critical comparison of the deep learning and standalone models
Jitendra Khatti, Kamaldeep Singh Grover
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 15, Iss. 11, pp. 3010-3038
Open Access | Times Cited: 64
Application of extreme gradient boosting method for evaluating the properties of episodic failure of borehole breakout
Reza Sarkhani Benemaran
Geoenergy Science and Engineering (2023) Vol. 226, pp. 211837-211837
Closed Access | Times Cited: 54
Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter
Abidhan Bardhan, Navid Kardani, Abdel Kareem Alzo’ubi, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 14, Iss. 5, pp. 1588-1608
Open Access | Times Cited: 46
Probabilistic slope stability analysis of Heavy-haul freight corridor using a hybrid machine learning paradigm
Abidhan Bardhan, Pijush Samui
Transportation Geotechnics (2022) Vol. 37, pp. 100815-100815
Closed Access | Times Cited: 44
Predicting and validating the load-settlement behavior of large-scale geosynthetic-reinforced soil abutments using hybrid intelligent modeling
Muhammad Nouman Amjad Raja, Syed Taseer Abbas Jaffar, Abidhan Bardhan, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2022) Vol. 15, Iss. 3, pp. 773-788
Open Access | Times Cited: 42
Prediction of ultimate bearing capacity of shallow foundations on cohesionless soil using hybrid LSTM and RVM approaches: An extended investigation of multicollinearity
Jitendra Khatti, Kamaldeep Singh Grover, Hyeong-Joo Kim, et al.
Computers and Geotechnics (2023) Vol. 165, pp. 105912-105912
Closed Access | Times Cited: 37
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
Prediction of UCS of fine-grained soil based on machine learning part 1: multivariable regression analysis, gaussian process regression, and gene expression programming
Jitendra Khatti, Kamaldeep Singh Grover
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 6, Iss. 2, pp. 199-222
Closed Access | Times Cited: 31
Balanced K-Star: An Explainable Machine Learning Method for Internet-of-Things-Enabled Predictive Maintenance in Manufacturing
Bita Ghasemkhani, Özlem Aktaş, Derya Birant
Machines (2023) Vol. 11, Iss. 3, pp. 322-322
Open Access | Times Cited: 26
Strength and stiffness performance of geopolymer stabilized washed recycled sands derived from demolition wastes in pavement subgrades
Yunxin Xue, Arul Arulrajah, Suksun Horpibulsuk, et al.
Construction and Building Materials (2023) Vol. 369, pp. 130618-130618
Open Access | Times Cited: 25
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
Predicting the fire-induced structural performance of steel tube columns filled with SFRC-enhanced concrete: using artificial neural networks approach
Christo George, Edwin Zumba, María Alexandra Procel Silva, et al.
Frontiers in Built Environment (2024) Vol. 10
Open Access | Times Cited: 8
Hybrid ensemble soft computing approach for predicting penetration rate of tunnel boring machine in a rock environment
Abidhan Bardhan, Navid Kardani, Anasua GuhaRay, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2021) Vol. 13, Iss. 6, pp. 1398-1412
Open Access | Times Cited: 45
Reliability and Prediction of Embedment Depth of Sheet pile Walls Using Hybrid ANN with Optimization Techniques
T. Pradeep, Anasua GuhaRay, Abidhan Bardhan, et al.
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 10, pp. 12853-12871
Closed Access | Times Cited: 29
A hybrid approach of ANN and improved PSO for estimating soaked CBR of subgrade soils of heavy-haul railway corridor
Abidhan Bardhan, Abdel Kareem Alzo’ubi, P. Sangeetha, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 18
Application of ANN and FELA for Predicting Bearing Capacity of Shell Foundations on Sand
Van Qui Lai, Wittaya Jitchaijaroen, Suraparb Keawsawasvong, et al.
International Journal of Geosynthetics and Ground Engineering (2023) Vol. 9, Iss. 2
Closed Access | Times Cited: 18
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
Improvement of Low Plasticity Clay with Crushed Glass: A Mechanical and Microstructural Study
Salpadoru Tholkamudalige Anupiya. M. Perera, Mohammad Saberian, Jiasheng Zhu, et al.
International Journal of Pavement Research and Technology (2023)
Open Access | Times Cited: 17
A Comparative Analysis of the Predictive Performance of Tree-Based and Artificial Neural Network Approaches for Compressive Strength of Concrete Utilising Waste
Suhaib Rasool Wani, Manju Suthar
International Journal of Pavement Research and Technology (2024)
Closed Access | Times Cited: 6
Using soft computing to forecast the strength of concrete utilized with sustainable natural fiber reinforced polymer composites
Suhaib Rasool Wani, Manju Suthar
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 8, pp. 5847-5863
Closed Access | Times Cited: 5
A novel integrated approach of ELM and modified equilibrium optimizer for predicting soil compression index of subgrade layer of Dedicated Freight Corridor
Abidhan Bardhan, Anasua GuhaRay, Shubham Gupta, et al.
Transportation Geotechnics (2021) Vol. 32, pp. 100678-100678
Closed Access | Times Cited: 33
Experimental and intelligent modelling for predicting the amplitude of footing resting on geocell-reinforced soil bed under vibratory load
Hasthi Venkateswarlu, Muhammad Nouman Amjad Raja, A. Hegde, et al.
Transportation Geotechnics (2022) Vol. 35, pp. 100783-100783
Closed Access | Times Cited: 25
Prediction of California Bearing Ratio Using Soil Index Properties by Regression and Machine-Learning Techniques
Mohammad A. Khasawneh, Haneen I. Al-Akhrass, Samer R. Rabab’ah, et al.
International Journal of Pavement Research and Technology (2022) Vol. 17, Iss. 2, pp. 306-324
Closed Access | Times Cited: 25
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