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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 alternative approach for measuring the mechanical properties of hybrid concrete through image processing and machine learning
Muhammad Imran Waris, Vagelis Plevris, Junaid Mir, et al.
Construction and Building Materials (2022) Vol. 328, pp. 126899-126899
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Use of Artificial Intelligence for Predicting Parameters of Sustainable Concrete and Raw Ingredient Effects and Interactions
Muhammad Nasir Amin, Waqas Ahmad, Kaffayatullah Khan, et al.
Materials (2022) Vol. 15, Iss. 15, pp. 5207-5207
Open Access | Times Cited: 37
Computational Design and Manufacturing of Sustainable Materials through First-Principles and Materiomics
Sabrina C. Shen, Eesha Khare, Nicolas A. Lee, et al.
Chemical Reviews (2023) Vol. 123, Iss. 5, pp. 2242-2275
Closed Access | Times Cited: 36
Revolutionizing concrete analysis: An in-depth survey of AI-powered insights with image-centric approaches on comprehensive quality control, advanced crack detection and concrete property exploration
Kaustav Sarkar, Amit Shiuly, Krishna Gopal Dhal
Construction and Building Materials (2023) Vol. 411, pp. 134212-134212
Closed Access | Times Cited: 32
Computing the characteristics of defects in wooden structures using image processing and CNN
Rana Ehtisham, Waqas Qayyum, Charles V. Camp, et al.
Automation in Construction (2023) Vol. 158, pp. 105211-105211
Closed Access | Times Cited: 27
Machine and Deep Learning Methods for Concrete Strength Prediction: A Bibliometric and Content Analysis Review of Research Trends and Future Directions
Raman Kumar, Essam Althaqafi, S. Gopal Krishna Patro, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111956-111956
Closed Access | Times Cited: 9
Predicting the Compressive Strength of Environmentally Friendly Concrete Using Multiple Machine Learning Algorithms
Yanhua Yang, Guiyong Liu, Haihong Zhang, et al.
Buildings (2024) Vol. 14, Iss. 1, pp. 190-190
Open Access | Times Cited: 8
Comparative Analysis of Shear Strength Prediction Models for Reinforced Concrete Slab–Column Connections
Sarmed Wahab, Nasim Shakouri Mahmoudabadi, Sarmad Waqas, et al.
Advances in Civil Engineering (2024) Vol. 2024, pp. 1-22
Open Access | Times Cited: 8
A new scattering-filling process for regulating coarse aggregate and fiber spatial distribution in ultra-high performance concrete
Xudong Zhao, Zhengzhong Xu, Weichen Tian, et al.
Construction and Building Materials (2024) Vol. 416, pp. 135074-135074
Closed Access | Times Cited: 7
Artificial intelligence techniques in advanced concrete technology: A comprehensive survey on 10 years research trend
Ramin Kazemi
Engineering Reports (2023) Vol. 5, Iss. 9
Open Access | Times Cited: 19
Solving elastodynamics via physics-informed neural network frequency domain method
Ruihua Liang, Weifeng Liu, Lihui Xu, et al.
International Journal of Mechanical Sciences (2023) Vol. 258, pp. 108575-108575
Closed Access | Times Cited: 16
A novel image multitasking enhancement model for underwater crack detection
Wenxuan Cao, Junjie Li
Structural Health Monitoring (2024)
Closed Access | Times Cited: 6
A remaining useful lifetime prediction model for concrete structures using Mann-Whitney U test state indicator and deep learning
Tuan-Khai Nguyen, Zahoor Ahmad, Duc-Thuan Nguyen, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111795-111795
Closed Access | Times Cited: 5
Influence of different aggregate characteristics on pervious concrete
Bobo Xiong, Xuan Wu, Wei Liu, et al.
Construction and Building Materials (2025) Vol. 460, pp. 139789-139789
Closed Access
Development of Cemented Paste Backfill with Superfine Tailings: Fluidity, Mechanical Properties, and Microstructure Characteristics
Yafei Hu, Keqing Li, Bo Zhang, et al.
Materials (2023) Vol. 16, Iss. 5, pp. 1951-1951
Open Access | Times Cited: 14
Prediction of compressive strengths of pumice-and diatomite-containing cement mortars with artificial intelligence-based applications
Burak Koçak, İbrahim Pınarcı, Uğur Güvenç, et al.
Construction and Building Materials (2023) Vol. 385, pp. 131516-131516
Closed Access | Times Cited: 13
A review of compaction mechanisms, influencing factors, and advanced methods in concrete vibration technology
Xiaokuan Zhao, Yimiao Huang, Dong Wei, et al.
Journal of Building Engineering (2024) Vol. 93, pp. 109847-109847
Closed Access | Times Cited: 3
Comparative analysis of selected machine learning techniques for predicting the pull-off strength of the surface layer of eco-friendly concrete
Mateusz Moj, Sławomir Czarnecki
Advances in Engineering Software (2024) Vol. 195, pp. 103710-103710
Open Access | Times Cited: 3
Concrete Strength Prediction Using Different Machine Learning Processes: Effect of Slag, Fly Ash and Superplasticizer
Chongchong Qi, Binhan Huang, Mengting Wu, et al.
Materials (2022) Vol. 15, Iss. 15, pp. 5369-5369
Open Access | Times Cited: 15
Classification of defects in wooden structures using pre-trained models of convolutional neural network
Rana Ehtisham, Waqas Qayyum, Charles V. Camp, et al.
Case Studies in Construction Materials (2023) Vol. 19, pp. e02530-e02530
Open Access | Times Cited: 8
Determination of concrete compressive strength from surface images with the integration of CNN and SVR methods
Gaffari Çelik, Muhammet Ozdemir
Measurement (2024) Vol. 238, pp. 115331-115331
Closed Access | Times Cited: 2
Prediction of load-bearing capacity of RC Columns (CWA) using Artificial Neural Networks (ANN) trained on a Hybrid Experimental Database HEXP
Ammar T. Al-Sayegh, Nasim Shakouri Mahmoudabadi, Faisal Shabbir, et al.
Journal of Engineering Research (2024)
Open Access | Times Cited: 2
Image-Based Assessment of Seismic Damage in RC Exterior Beam-Column Joints
Qi-Sen Chen, Zecheng Yu, Bing Li
Journal of Building Engineering (2024) Vol. 97, pp. 110971-110971
Closed Access | Times Cited: 1
Simulation of Fracture Process of Lightweight Aggregate Concrete Based on Digital Image Processing Technology
Safwan Al-sayed, Xi Wang, Yijiang Peng
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 3, pp. 4169-4195
Open Access | Times Cited: 1
e-Waste in construction: a comprehensive bibliometric analysis and review of the literature
Vineet Kumar, Deepak Kumar Verma
World Journal of Engineering (2024)
Closed Access | Times Cited: 1
Predicting Crack Width in CFRP-Strengthened RC One-Way Slabs Using Hybrid Grey Wolf Optimizer Neural Network Model
Seyed Razavi Tosee, Iman Faridmehr, Moncef L. Nehdi, et al.
Buildings (2022) Vol. 12, Iss. 11, pp. 1870-1870
Open Access | Times Cited: 4
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