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:
Grey wolf optimizer integrated within boosting algorithm: Application in mechanical properties prediction of ultra high-performance concrete including carbon nanotubes
Aybike Özyüksel Çiftçioğlu, Farzin Kazemi, Torkan Shafighfard
Applied Materials Today (2025) Vol. 42, pp. 102601-102601
Closed Access | Times Cited: 12
Aybike Özyüksel Çiftçioğlu, Farzin Kazemi, Torkan Shafighfard
Applied Materials Today (2025) Vol. 42, pp. 102601-102601
Closed Access | Times Cited: 12
Showing 12 citing articles:
Machine Learning as an Innovative Engineering Tool for Controlling Concrete Performance: A Comprehensive Review
Fatemeh Mobasheri, Masoud Hosseinpoor, Ammar Yahia, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access | Times Cited: 1
Fatemeh Mobasheri, Masoud Hosseinpoor, Ammar Yahia, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access | Times Cited: 1
Investigation of Mechanical Behaviors of High-Performance Fiber-Reinforced Concrete Pipe Jacking Subjected to Three-Point Loading
Cai-Rong Zhou, Zi–Fan Wang, Jinhong Yu, et al.
Buildings (2025) Vol. 15, Iss. 4, pp. 639-639
Open Access
Cai-Rong Zhou, Zi–Fan Wang, Jinhong Yu, et al.
Buildings (2025) Vol. 15, Iss. 4, pp. 639-639
Open Access
Application of carbon nanomaterials (CNMs) in ultra-high-performance concrete (UHPC): A review
Hansong Wu, Jinxi Zhang
Journal of Industrial and Engineering Chemistry (2025)
Closed Access
Hansong Wu, Jinxi Zhang
Journal of Industrial and Engineering Chemistry (2025)
Closed Access
Prediction of residual stresses in GFRP strips under wind-sand erosion by interpretable machine learning methods: feature engineering and SHAP analysis
Wenhao Ren, A Siha, Changdong Zhou, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 6
Closed Access
Wenhao Ren, A Siha, Changdong Zhou, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 6
Closed Access
A Novel Hybrid Machine Learning Framework for Engineered Cementitious Composites Strain Capacity Prediction Enhanced by K-Means Stratified Sampling
W.Z. Li, Zheng Huang, Zuanfeng Pan
Materials Today Communications (2025), pp. 112570-112570
Closed Access
W.Z. Li, Zheng Huang, Zuanfeng Pan
Materials Today Communications (2025), pp. 112570-112570
Closed Access
Hybrid machine learning approach with FHO algorithm and WERCS method for predicting fire resistance of timber columns
T. D. Nguyen, Van-Thanh Pham, Quang-Viet Vu, et al.
Materials Today Communications (2025), pp. 112679-112679
Closed Access
T. D. Nguyen, Van-Thanh Pham, Quang-Viet Vu, et al.
Materials Today Communications (2025), pp. 112679-112679
Closed Access
Stress prediction model of oil and gas pipeline based on magnetic-force coupling and machine learning
Guangyuan Weng, Xinlei Xing, Zhaoyang Han, et al.
Measurement (2025), pp. 117818-117818
Closed Access
Guangyuan Weng, Xinlei Xing, Zhaoyang Han, et al.
Measurement (2025), pp. 117818-117818
Closed Access
An optimized machine-learning tool to predict heat treatment response of hot-work tool steels
Venu Yarasu, Bojan Podgornik
Results in Engineering (2025) Vol. 26, pp. 105260-105260
Open Access
Venu Yarasu, Bojan Podgornik
Results in Engineering (2025) Vol. 26, pp. 105260-105260
Open Access
Machine learning for rapid quantitative stucco phase analysis in plasterboard
Yi Lu, Mohammad Khalkhali, Hanrui Zheng, et al.
Chemical Engineering Science (2025), pp. 121832-121832
Open Access
Yi Lu, Mohammad Khalkhali, Hanrui Zheng, et al.
Chemical Engineering Science (2025), pp. 121832-121832
Open Access
An interpretable stacking machine-learning model to predict the hot torsion flow characteristics of a micro-alloyed steel
Hojjat Emami, Mehdi Shaban Ghazani
Results in Engineering (2025), pp. 105326-105326
Open Access
Hojjat Emami, Mehdi Shaban Ghazani
Results in Engineering (2025), pp. 105326-105326
Open Access
The application of machine learning pretreatment models for O3-BAC process in drinking water treatment plant
Shunjun Ma, X. Cai, Mei Li, et al.
Journal of Water Process Engineering (2025) Vol. 75, pp. 107888-107888
Closed Access
Shunjun Ma, X. Cai, Mei Li, et al.
Journal of Water Process Engineering (2025) Vol. 75, pp. 107888-107888
Closed Access
Application of robust hybrid tree-based machine learning methods in accurate prediction of underground rock saturation exponent
Ayat Hussein Adhab, Ankur Bhogayata, Anupam Yadav, et al.
Measurement (2025), pp. 117916-117916
Closed Access
Ayat Hussein Adhab, Ankur Bhogayata, Anupam Yadav, et al.
Measurement (2025), pp. 117916-117916
Closed Access
A multifaceted comparative analysis of incremental dynamic and static pushover methods in bridge structural assessment, integrated with artificial neural network and genetic algorithm approach
Ashwini Satyanarayana, V. Sindura, L. Geetha, et al.
Discover Materials (2025) Vol. 5, Iss. 1
Open Access
Ashwini Satyanarayana, V. Sindura, L. Geetha, et al.
Discover Materials (2025) Vol. 5, Iss. 1
Open Access
Electrochemical Differences in the Passivity State of Reinforced Concrete for Two Mix Design Methods
Jorge Alberto Briceño-Mena, M. Balancán-Zapata, Eduardo de Jesus Pérez-García, et al.
Buildings (2025) Vol. 15, Iss. 8, pp. 1293-1293
Open Access
Jorge Alberto Briceño-Mena, M. Balancán-Zapata, Eduardo de Jesus Pérez-García, et al.
Buildings (2025) Vol. 15, Iss. 8, pp. 1293-1293
Open Access
