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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 26-50 of 85 citing articles:

The application of deep neural networks for the prediction of California Bearing Ratio of road subgrade soil
Kareem Othman, Hassan T. Abdelwahab
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 7, pp. 101988-101988
Open Access | Times Cited: 22
Slope stability analysis of heavy-haul freight corridor using novel machine learning approach
Md Shayan Sabri, Furquan Ahmad, Pijush Samui
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 1, pp. 201-219
Closed Access | Times Cited: 15
Advanced machine learning approaches for uniaxial compressive strength prediction of Indian rocks using petrographic properties
Md Shayan Sabri, Amit Jaiswal, A. K. Verma, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5265-5286
Closed Access | Times Cited: 5
Prediction of Spatial Soil-California Bearing Ratio of Subgrade Soil Using Particle Swarm Optimization—Artificial Intelligence Method
Yonas Tilahun, Qinghua Xiao, Argaw Asha Ashango, et al.
Transportation Infrastructure Geotechnology (2025) Vol. 12, Iss. 1
Closed Access
A Systematic Evaluation of the Empirical Relationships Between the Resilient Modulus and Permanent Deformation of Pavement Materials
Zeping Yang, Junyu Sun, Yupeng Zhang, et al.
Buildings (2025) Vol. 15, Iss. 5, pp. 663-663
Open Access
Rock Strain Prediction Using Deep Neural Network and Hybrid Models of ANFIS and Meta-Heuristic Optimization Algorithms
T. Pradeep, Abidhan Bardhan, Avijit Burman, et al.
Infrastructures (2021) Vol. 6, Iss. 9, pp. 129-129
Open Access | Times Cited: 30
On Random Subspace Optimization-Based Hybrid Computing Models Predicting the California Bearing Ratio of Soils
Duong Kien Trong, Binh Thai Pham, Fazal E. Jalal, et al.
Materials (2021) Vol. 14, Iss. 21, pp. 6516-6516
Open Access | Times Cited: 29
A novel hybrid model of augmented grey wolf optimizer and artificial neural network for predicting shear strength of soil
Ahsan Rabbani, Pijush Samui, Sunita Kumari
Modeling Earth Systems and Environment (2022) Vol. 9, Iss. 2, pp. 2327-2347
Closed Access | Times Cited: 19
A Method for Intelligent Road Network Selection Based on Graph Neural Network
Xuan Guo, Junnan Liu, Fang Wu, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 8, pp. 336-336
Open Access | Times Cited: 11
Soil–conduit interaction: an artificial intelligence application for reinforced concrete and corrugated steel conduits
Muhammad Umer Arif Khan, Sanjay Kumar Shukla, Muhammad Nouman Amjad Raja
Neural Computing and Applications (2021) Vol. 33, Iss. 21, pp. 14861-14885
Closed Access | Times Cited: 24
Load-settlement response of a footing over buried conduit in a sloping terrain: a numerical experiment-based artificial intelligent approach
Muhammad Umer Arif Khan, Sanjay Kumar Shukla, Muhammad Nouman Amjad Raja
Soft Computing (2022) Vol. 26, Iss. 14, pp. 6839-6856
Open Access | Times Cited: 16
Semi-Supervised k-Star (SSS): A Machine Learning Method with a Novel Holo-Training Approach
Kökten Ulaş Birant
Entropy (2023) Vol. 25, Iss. 1, pp. 149-149
Open Access | Times Cited: 10
Prediction of Marshall stability of asphalt concrete reinforced with polypropylene fibre using different soft computing techniques
Samrity Jalota, Manju Suthar
Soft Computing (2023) Vol. 28, Iss. 2, pp. 1425-1444
Closed Access | Times Cited: 9
Evaluating the efficiency of artificial neural networks and tree-based techniques for forecasting the flexural strength of concrete using waste foundry sand
Suhaib Rasool Wani, Manju Suthar
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 7, pp. 5481-5503
Closed Access | Times Cited: 3
Modelling of Marshall stability of polypropylene fibre reinforced asphalt concrete using support vector machine and artificial neural network
Samrity Jalota, Manju Suthar
International Journal of Transportation Science and Technology (2024)
Open Access | Times Cited: 3
Optimized automated detection of diabetic retinopathy severity: integrating improved multithresholding tunicate swarm algorithm and improved hybrid butterfly optimization
Bhimavarapu Usharani
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 3
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
A Scientometric Study of LCA-Based Industrialization and Commercialization of Geosynthetics in Infrastructures
Carlo Giglio, Gianluca Salvatore Vocaturo, Roberto Palmieri
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2328-2328
Open Access | Times Cited: 7
Bearing capacity prediction of the concrete pile using tunned ANFIS system
Wei Gu, Jifei Liao, Siyuan Cheng
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Open Access | Times Cited: 2
Evaluation of Penetration Resistance of Soils Reinforced with Geosynthetics Using CBR Tests
David Miranda Carlos, Margarida Pinho-Lopes, Maria de Lurdes Lopes
International Journal of Geosynthetics and Ground Engineering (2024) Vol. 10, Iss. 2
Open Access | Times Cited: 2
Resilient moduli of demolition wastes in geothermal pavements: Experimental testing and ANFIS modelling
Behnam Ghorbani, Arul Arulrajah, Guillermo A. Narsilio, et al.
Transportation Geotechnics (2021) Vol. 29, pp. 100592-100592
Closed Access | Times Cited: 17
Modelling soil compaction parameters using a hybrid soft computing technique of LSSVM and symbiotic organisms search
Lal Babu Tiwari, Avijit Burman, Pijush Samui
Innovative Infrastructure Solutions (2022) Vol. 8, Iss. 1
Closed Access | Times Cited: 11
Machine learning-based prediction of resilient modulus for blends of tire-derived aggregates and demolition wastes
Behnam Ghorbani, Ehsan Yaghoubi, P.L.P. Wasantha, et al.
Road Materials and Pavement Design (2023) Vol. 25, Iss. 4, pp. 694-715
Closed Access | Times Cited: 5
Unconfined compression strength modelling of expansive soils for sustainable construction: GEP vs MEP
Fazal E. Jalal, Mudassir Iqbal
Environmental Earth Sciences (2023) Vol. 82, Iss. 14
Closed Access | Times Cited: 5
Rainfall Prediction Using an Ensemble Machine Learning Model Based on K-Stars
Göksu Tüysüzoğlu, Kökten Ulaş Birant, Derya Birant
Sustainability (2023) Vol. 15, Iss. 7, pp. 5889-5889
Open Access | Times Cited: 5

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