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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 case study of resilient modulus prediction leveraging an explainable metaheuristic-based XGBoost
Biao He, Danial Jahed Armaghani, Markos Z. Tsoukalas, et al.
Transportation Geotechnics (2024) Vol. 45, pp. 101216-101216
Closed Access | Times Cited: 19

Showing 19 citing articles:

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
Enhancing unconfined compressive strength prediction in nano-silica stabilized soil: a comparative analysis of ensemble and deep learning models
Ishwor Thapa, Sufyan Ghani
Modeling Earth Systems and Environment (2024) Vol. 10, Iss. 4, pp. 5079-5102
Closed 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
Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches
Laiba Khawaja, Usama Asif, Kennedy C. Onyelowe, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Methodology for Constructing Explicit Stability Formulas for Hard Rock Pillars: Integrating Data-Driven Approaches and Interpretability Techniques
Yingui Qiu, Jian Zhou
Rock Mechanics and Rock Engineering (2025)
Closed Access | Times Cited: 1
Interpretable Machine Learning for Predicting Heavy Metal Removal Efficiency in Electrokinetic Soil Remediation
Mohammad Sadegh Barkhordari, Nana Zhou, Kechao Li, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 6, pp. 114330-114330
Closed Access | Times Cited: 6
Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting
Masoud Karbasi, Mumtaz Ali, Aitazaz A. Farooque, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124900-124900
Closed Access | Times Cited: 4
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
Assessment on eco-solidified alkali residue reinforced soft soils for intelligent subgrade constructions
Jianhua Li, Zicheng Zhang, Xu Liu, et al.
Transportation Geotechnics (2025), pp. 101516-101516
Closed Access
An empirical-driven machine learning (EDML) approach to predict PPV caused by quarry blasting
Panagiotis G. Asteris, Danial Jahed Armaghani
Bulletin of Engineering Geology and the Environment (2025) Vol. 84, Iss. 4
Open Access
Enhancing the Predictive Accuracy of Marshall Design Tests Using Generative Adversarial Networks and Advanced Machine Learning Techniques
Usama Asif, Waseem Akhtar Khan, Khawaja Atif Naseem, et al.
Materials Today Communications (2025), pp. 112379-112379
Closed Access
Hybrid extreme gradient boosting regressor models for the multi-objective mixture design optimization of cementitious mixtures incorporating mine tailings as fine aggregates
Chathuranga Balasooriya Arachchilage, Guangping Huang, Jian Zhao, et al.
Cement and Concrete Composites (2024), pp. 105787-105787
Open Access | Times Cited: 3
A Segmented Classification and Regression Machine Learning Approach for Correcting Precipitation Forecast at 4–6 h Leadtimes
Y.M. Xie, Linye Song, Mingxuan Chen, et al.
Journal of Meteorological Research (2025) Vol. 39, Iss. 1, pp. 79-99
Closed Access
Enhancing clay content estimation through hybrid CatBoost-GP with model class selection
Weihang Chen, Xing Wan, Jianwen Ding, et al.
Transportation Geotechnics (2024) Vol. 45, pp. 101232-101232
Closed Access | Times Cited: 2
Comparative study on in-situ resilient modulus of subgrade estimated using in-situ modulus detector
Dong‐Ju Kim, Dong Geon Son, Geunwoo Park, et al.
Construction and Building Materials (2024) Vol. 442, pp. 137596-137596
Closed Access | Times Cited: 1
Eco-Friendly Nanotechnology in Rheumatoid Arthritis: ANFIS-XGBoost Enhanced Layered Nanomaterials
Zhiyong Zhang, Mingtao Ye, Yisu Ge, et al.
Environmental Research (2024) Vol. 262, pp. 119832-119832
Closed Access | Times Cited: 1
Prediction of resilient modulus with pre-post experimental data of undisturbed subgrade soils using machine learning algorithms
M. Irsad Ozkaynak, Yüksel Yılmaz
Transportation Geotechnics (2024) Vol. 49, pp. 101396-101396
Closed Access | Times Cited: 1
Enhancing Cold Joint Shear Strength Prediction in Concrete Structures: Novel Approach with Ensemble Spiking Neural Networks
Mohammad Sadegh Barkhordari
Journal of structural design and construction practice. (2024) Vol. 30, Iss. 1
Closed Access
Assessment of resilient modulus of soil using hybrid extreme gradient boosting models
Xiangfeng Duan
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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