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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:

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

Showing 18 citing articles:

ANN-based swarm intelligence for predicting expansive soil swell pressure and compression strength
Fazal E. Jalal, Mudassir Iqbal, Waseem Akhtar Khan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 31
A super-learner machine learning model for a global prediction of compression index in clays
E.F. González Díaz, Giovanni Spagnoli
Applied Clay Science (2024) Vol. 249, pp. 107239-107239
Open Access | Times Cited: 10
Prediction method for the dynamic response of expressway lateritic soil subgrades on the basis of Bayesian optimization CatBoost
Xuanjia Huang, Weizheng Liu, Qing Guo, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 186, pp. 108943-108943
Closed Access | Times Cited: 10
Predicting the small strain shear modulus of sands and sand-fines binary mixtures using machine learning algorithms
Naser Khodkari, Pouria Hamidian, Homayoun Khodkari, et al.
Transportation Geotechnics (2023) Vol. 44, pp. 101172-101172
Closed Access | Times Cited: 14
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: 12
A Comparative Study of Soft Computing Paradigms for Modelling Soil Compaction Parameters
Lal Babu Tiwari, Avijit Burman, Pijush Samui
Transportation Infrastructure Geotechnology (2024) Vol. 11, Iss. 6, pp. 4142-4160
Closed Access | Times Cited: 3
Soft Computing-Based Prediction of CBR Values
Sk Kamrul Alam, Amit Shiuly
Indian geotechnical journal (2023) Vol. 54, Iss. 2, pp. 474-488
Closed Access | Times Cited: 7
State Parameter Based Liquefaction Probability Evaluation
Kishan Kumar, Pijush Samui, Shiva Shankar Choudhary
International Journal of Geosynthetics and Ground Engineering (2023) Vol. 9, Iss. 6
Closed Access | Times Cited: 7
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
Reliability‐based state parameter liquefaction probability prediction using soft computing techniques
Kishan Kumar, Pijush Samui, Shiva Shankar Choudhary
Geological Journal (2024) Vol. 59, Iss. 9, pp. 2638-2654
Closed Access | Times Cited: 2
Soft computing techniques to estimate the uniaxial compressive strength of mortar incorporated with cement kiln dust
Ahmed Salih Mohammed, Aso A. Abdalla, Rawaz Kurda, et al.
Innovative Infrastructure Solutions (2023) Vol. 8, Iss. 11
Closed Access | Times Cited: 5
Hybrid machine learning model for prediction of vertical deflection of composite bridges
Hoang Ha, Le Van Manh, Dam Duc Nguyen, et al.
Proceedings of the Institution of Civil Engineers - Bridge Engineering (2023), pp. 1-10
Closed Access | Times Cited: 4
Estimation of water quality index using modern-day machine learning algorithms
Piyush Gupta, Pijush Samui, Abdur Rahman Quaff
Sadhana (2024) Vol. 49, Iss. 3
Closed Access | Times Cited: 1
Machine learning approach for evaluating soil liquefaction probability based on reliability method
Sophia Khatoon, Kishan Kumar, Pijush Samui, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 1
Performance-oriented road structure and material design method based on enhanced XGBoost algorithm
Jiale Li, Zhishuai Zhang, Xuefei Wang
International Journal of Pavement Engineering (2023) Vol. 25, Iss. 1
Closed Access | Times Cited: 2
A new method for CBR prediction using fuzzy set theory
Gökhan Çuvalcıoğlu, Murat Vergi Taciroğlu, Arif Bal
Construction and Building Materials (2024) Vol. 447, pp. 138046-138046
Closed Access
Neural Network – Particle Swarm Optimization and Akaike Information Criterion in Construction: Assessment of Delay Factors in Operation and Implementation of Projects
Prince Daniel M Pelisco, Divina R. Gonzales, Cris Edward F. Monjardin, et al.
(2024), pp. 240-246
Closed Access
Implementation of Artificial Neural Network for Forecasting California Bearing Ratio of Treated Cement-Laterite Soil Improved with Bamboo Leaf Ash
Emeka S. Nnochiri, Imhade P. Okokpujie, Rajneesh Kumar Singh
Revue des composites et des matériaux avancés (2024) Vol. 34, Iss. 6, pp. 755-765
Closed Access
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