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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:

Machine learning for predicting concrete carbonation depth: A comparative analysis and a novel feature selection
Mehrdad Ehsani, Mobin Ostovari, Shoaib Mansouri, et al.
Construction and Building Materials (2024) Vol. 417, pp. 135331-135331
Closed Access | Times Cited: 17

Showing 17 citing articles:

An Ultrasonic-AI Hybrid Approach for Predicting Void Defects in Concrete-Filled Steel Tubes via Enhanced XGBoost with Bayesian Optimization
Shuai Wan, Shaozhi Li, George Z. Chen, et al.
Case Studies in Construction Materials (2025), pp. e04359-e04359
Open Access | Times Cited: 2
A predictive model for the freeze-thaw concrete durability index utilizing the deeplabv3+ model with machine learning
Daming Luo, Xudong Qiao, Ditao Niu
Construction and Building Materials (2025) Vol. 459, pp. 139788-139788
Closed Access | Times Cited: 1
Explainable hybridized ensemble machine learning for the prognosis of the compressive strength of recycled plastic-based sustainable concrete with experimental validation
Sanjog Chhetri Sapkota, Ajay Yadav, Ajaya Khatri, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 6073-6096
Closed Access | Times Cited: 6
A novel technique for multi-objective sustainable decisions for pavement maintenance and rehabilitation
Hamed Naseri, Amirreza Aliakbari, Mahdie Asl Javadian, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03037-e03037
Open Access | Times Cited: 5
Research on carbonation percentage of carbonated recycled concrete fine aggregate: experimental investigation and machine learning prediction
Mingyang Ma, Meng Chen, Tong Zhang, et al.
Journal of Sustainable Cement-Based Materials (2025), pp. 1-22
Closed Access
AI-based framework for concrete durability assessment using generative adversarial networks and bayesian neural networks
Abobaker Ba Ragaa, Fahim Al-Neshawy, Mohamed Noureldin
Construction and Building Materials (2025) Vol. 471, pp. 140722-140722
Open Access
Finite-Element-Based Time-Dependent Service Life Prediction for Carbonated Reinforced Concrete Aqueducts
Lan Zhang, R F He, Long‐Wen Zhang, et al.
Applied Sciences (2025) Vol. 15, Iss. 1, pp. 463-463
Open Access
Study of Entropy Weight-Grey theory-BP Network life prediction Model of unit silica fume concrete lining under the influence of carbonation-sulfate freeze-thaw cycle erosion
Zhi‐Min Chen, Meisheng Yi, Jiqiang Zhang, et al.
Research in Cold and Arid Regions (2025)
Open Access
Household transportation lifecycle greenhouse gas emission prediction
Hamed Naseri, E. Owen D. Waygood, Zachary Patterson
Transportation Research Part D Transport and Environment (2025) Vol. 141, pp. 104660-104660
Open Access
A review on properties and multi-objective performance predictions of concrete based on machine learning models
Bowen Ni, Md Zillur Rahman, Shuaicheng Guo, et al.
Materials Today Communications (2025), pp. 112017-112017
Closed Access
Reliable forecasting non-linear triaxial mechanical response of recycled aggregate concrete by knowledge-enhanced, modified, explainable and replicable machine learning algorithms
Haoyu Zhu, Ming-Zhi Guo, Yan Zhang
Expert Systems with Applications (2025), pp. 127326-127326
Closed Access
Prediction of split tensile strength of recycled aggregate concrete leveraging explainable hybrid XGB with optimization algorithm
Sanjog Chhetri Sapkota, Sagar Sapkota, Gaurav Saini
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 4, pp. 4343-4359
Closed Access | Times Cited: 2
Innovative Approaches, Challenges, and Future Directions for Utilizing Carbon Dioxide in Sustainable Concrete Production
Dong Lu, Fulin Qu, Chao Zhang, et al.
Journal of Building Engineering (2024), pp. 110904-110904
Open Access | Times Cited: 2
Estimation of compressive strength of concrete with manufactured sand and natural sand using interpretable artificial intelligence
Xiaodong Liu, Shengqi Mei, Xingju Wang, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03840-e03840
Open Access | Times Cited: 2
Development of a novel packer fluid for high-temperature and high-pressure oil and gas wells with using design of experiments and artificial intelligence
Javad Mahdavi Kalatehno, Ehsan Khamehchi
Journal of Petroleum Exploration and Production Technology (2024) Vol. 14, Iss. 7, pp. 2011-2035
Open Access | Times Cited: 1
Travel mode choice prediction: developing new techniques to prioritize variables and interpret black-box machine learning techniques
Hamed Naseri, E. Owen D. Waygood, Zachary Patterson, et al.
Transportation Planning and Technology (2024), pp. 1-24
Closed Access | Times Cited: 1
A Predictive Model for the Freeze-Thaw Concrete Durability Index Utilizing the Deeplabv3+ Model with Machine Learning
Daming Luo, Xudong Qiao, Ditao Niu
(2024)
Closed Access
A novel method for tracing gasoline using GC-IRMS and Relief-Stacking fusion model
Zhaowei Jie, Xiaohan Zhu, Hanyu Zhang, et al.
Microchemical Journal (2024) Vol. 207, pp. 112081-112081
Closed Access
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