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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:

Predictive models for concrete properties using machine learning and deep learning approaches: A review
Mohammad Mohtasham Moein, Ashkan Saradar, Komeil Rahmati, et al.
Journal of Building Engineering (2022) Vol. 63, pp. 105444-105444
Open Access | Times Cited: 225

Showing 26-50 of 225 citing articles:

An Overview of Smart Materials and Technologies for Concrete Construction in Cold Weather
Jonny Nilimaa, Vasiola Zhaka
Eng—Advances in Engineering (2023) Vol. 4, Iss. 2, pp. 1550-1580
Open Access | Times Cited: 21
Advantages of modeling the urban heat island intensity: A tool for implementing nature-based solutions
Gabriel Yoshikazu Oukawa, Patricia Krecl, Admir Créso Targino, et al.
Sustainable Cities and Society (2024) Vol. 102, pp. 105204-105204
Closed Access | Times Cited: 12
Investigating the properties and microstructure of high-performance cement composites with nano-silica, silica fume, and ultra-fine TiO2
Ashkan Saradar, Yousof Rezakhani, Komeil Rahmati, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 4
Closed Access | Times Cited: 12
Prediction of properties of recycled aggregate concrete using machine learning models: A critical review
Zengfeng Zhao, Yajie Liu, Yanyun Lu, et al.
Journal of Building Engineering (2024) Vol. 90, pp. 109516-109516
Closed Access | Times Cited: 11
Investigating the applicability of deep learning and machine learning models in predicting the structural performance of V-shaped RC folded plates
Metin Katlav, Faruk Ergen, Kâzım Türk, et al.
Materials Today Communications (2024) Vol. 38, pp. 108141-108141
Closed Access | Times Cited: 10
Modeling green recycled aggregate concrete using machine learning and variance-based sensitivity analysis
Mahmoud Owais, Lamiaa K. Idriss
Construction and Building Materials (2024) Vol. 440, pp. 137393-137393
Closed Access | Times Cited: 10
A Review of Concrete Carbonation Depth Evaluation Models
Xinhao Wang, Qiuwei Yang, Xi Peng, et al.
Coatings (2024) Vol. 14, Iss. 4, pp. 386-386
Open Access | Times Cited: 9
An explainable machine learning approach to predict the compressive strength of graphene oxide-based concrete
D.P.P. Meddage, Isuri Fonseka, Damith Mohotti, et al.
Construction and Building Materials (2024) Vol. 449, pp. 138346-138346
Open Access | Times Cited: 9
TACKLING ECONOMIC INEQUALITIES THROUGH BUSINESS ANALYTICS: A LITERATURE REVIEW
Ejuma Martha Adaga, Zainab Efe Egieya, Sarah Kuzankah Ewuga, et al.
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 1, pp. 60-80
Open Access | Times Cited: 8
Benchmarking AutoML solutions for concrete strength prediction: Reliability, uncertainty, and dilemma
Mohammad Amin Hariri‐Ardebili, Parsa Mahdavi, Farhad Pourkamali‐Anaraki
Construction and Building Materials (2024) Vol. 423, pp. 135782-135782
Closed Access | Times Cited: 7
Machine and deep learning-based prediction of flexural moment capacity of ultra-high performance concrete beams with/out steel fiber
Faruk Ergen, Metin Katlav
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 6, pp. 4541-4562
Closed Access | Times Cited: 7
Integrating particle packing approach with ML techniques to optimise the compressive strength of RCA based concrete mixes
Pallapothu Swamy Naga Ratna Giri, Rathish Kumar Pancharathi, Layasri Midathada
Journal of Building Engineering (2024) Vol. 94, pp. 109994-109994
Closed Access | Times Cited: 7
Rapid seismic damage state assessment of RC frames using machine learning methods
Haoyou Zhang, Xiaowei Cheng, Yi Li, et al.
Journal of Building Engineering (2022) Vol. 65, pp. 105797-105797
Closed Access | Times Cited: 36
Machine learning for strength evaluation of concrete structures – Critical review
A Dinesh, S.D. Anitha Selvasofia, K.S. Datcheen, et al.
Materials Today Proceedings (2023)
Closed Access | Times Cited: 18
Data-driven moment-carrying capacity prediction of hybrid beams consisting of UHPC-NSC using machine learning-based models
Metin Katlav, Faruk Ergen
Structures (2023) Vol. 59, pp. 105733-105733
Closed Access | Times Cited: 18
Machine learning algorithms in wood ash-cement-Nano TiO2-based mortar subjected to elevated temperatures
Akeem Ayinde Raheem, Bolanle Deborah Ikotun, Solomon Oyebisi, et al.
Results in Engineering (2023) Vol. 18, pp. 101077-101077
Open Access | Times Cited: 17
A novel ant colony-optimized extreme gradient boosting machine for estimating compressive strength of recycled aggregate concrete
Nhat‐Duc Hoang
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 1, pp. 375-394
Closed Access | Times Cited: 17
Interpretable machine learning model for predicting freeze-thaw damage of dune sand and fiber reinforced concrete
Lei Qiao, Pengyong Miao, Guohua Xing, et al.
Case Studies in Construction Materials (2023) Vol. 19, pp. e02453-e02453
Open Access | Times Cited: 16
Intelligent optimization for modeling carbon dioxide footprint in fly ash geopolymer concrete: A novel approach for minimizing CO2 emissions
Y.S. Wudil, Amin Al‐Fakih, Mohammed A. Al‐Osta, et al.
Journal of environmental chemical engineering (2023) Vol. 12, Iss. 1, pp. 111835-111835
Closed Access | Times Cited: 16
Stock market index prediction using transformer neural network models and frequency decomposition
Camilo Yañez, Werner Kristjanpoller, Marcel C. Minutolo
Neural Computing and Applications (2024) Vol. 36, Iss. 25, pp. 15777-15797
Closed Access | Times Cited: 6
Prediction of compressive strength of nano-silica concrete by using random forest algorithm
Mayank Nigam, Manvendra Verma
Asian Journal of Civil Engineering (2024) Vol. 25, Iss. 7, pp. 5205-5213
Closed Access | Times Cited: 6
Enhancing Cybersecurity through AI and ML: Strategies, Challenges, and Future Directions
Maryam Roshanaei, Mahir R. Khan, Natalie N. Sylvester
Journal of Information Security (2024) Vol. 15, Iss. 03, pp. 320-339
Open Access | Times Cited: 6
Improving Convective Cloud Classification with Deep Learning: The CC-Unet Model
Humuntal Rumapea, Mohammad Zarlis, Syahril Efendy, et al.
International Journal on Advanced Science Engineering and Information Technology (2024) Vol. 14, Iss. 1, pp. 28-36
Open Access | Times Cited: 5
Machine learning predictions for bending capacity of ECC-concrete composite beams hybrid reinforced with steel and FRP bars
Wenjie Ge, Feng Zhang, Yi Wang, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03670-e03670
Open Access | Times Cited: 5
Utilizing Construction and Demolition Waste in Concrete as a Sustainable Cement Substitute: A Comprehensive Study on Behavior Under Short-term Dynamic and Static Loads via Laboratory and Numerical Analysis
Mohammad Mohtasham Moein, Komeil Rahmati, Ali Mohtasham Moein, et al.
Journal of Building Engineering (2024), pp. 110778-110778
Closed Access | Times Cited: 5

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