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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 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

Showing 18 citing articles:

Prediction of flexural strength in FRP bar reinforced concrete beams through a machine learning approach
Aneel Manan, Pu Zhang, Shoaib Ahmad, et al.
Anti-Corrosion Methods and Materials (2024) Vol. 71, Iss. 5, pp. 562-579
Closed Access | Times Cited: 6
Design of sustainable mortar incorporating construction and demolition waste through adaptive experiments accelerated by machine learning
Thomas Tawiah Baah, Hang Zeng, Marat I. Latypov, et al.
Results in Engineering (2025), pp. 104264-104264
Open Access
Predicting Mechanical Properties of Concrete Structures Using Metaheuristic-Optimization-Based Machine Learning Models
Ngoc‐Mai Nguyen
Applied Soft Computing (2025), pp. 112893-112893
Closed Access
A Systematic Review on Formwork Pressure Exerted by Self-Compacting Concrete: Parameters, Prediction Models, and Advances in Monitoring Technologies
D. Annlin Jebitha, Ramesh Kannan, S. Karthiyaini
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access
Cutting-Edge Network Based Concrete Crack Detection and Analysis for Structural Health Monitoring
S. Usha
Springer tracts in civil engineering (2025), pp. 157-175
Closed Access
Thermal conductivity of cementitious composites reinforced with graphene-based materials: An integrated approach combining machine learning with computational micromechanics
Arman Montazerian, Jan Arve Øverli, Stergios Goutianos
Construction and Building Materials (2023) Vol. 395, pp. 132293-132293
Open Access | Times Cited: 14
Comparative study on the prediction of the unconfined compressive strength of the one-part geopolymer stabilized soil by using different hybrid machine learning models
Qinyi Chen, Guo Hu, Jun Wu
Case Studies in Construction Materials (2024) Vol. 21, pp. e03439-e03439
Open Access | Times Cited: 4
Interlaminar Shear Strength Retention of GFRP Bars Exposed to Alkaline and Acidic Conditioning and Capacity Prediction Using Artificial Neural Networks
Mohammed Fasil, Mesfer M. Al‐Zahrani
Journal of Composites for Construction (2024) Vol. 28, Iss. 6
Closed Access | Times Cited: 3
Generational Advancements in the Transverse Shear Strength Retention of Glass Fiber-Reinforced Polymer Bars in Alkaline and Acidic Environments
Mesfer M. Al‐Zahrani
Polymers (2024) Vol. 16, Iss. 19, pp. 2712-2712
Open Access | Times Cited: 2
Multifunctional properties of carbon fiber integrated cement composite – A review and insights
A. Dinesh, J. Jayashree, S. Abhishek, et al.
Materials Today Proceedings (2023)
Closed Access | Times Cited: 5
Implementation of artificial intelligence to the prediction of the mechanical properties of concrete: A review
A. Dinesh, B. Kamal, M. Akash, et al.
Materials Today Proceedings (2023)
Closed Access | Times Cited: 4
Predicting and optimizing the concrete compressive strength using an explainable boosting machine learning model
Trong-Cuong Vo, Thi-Quynh Nguyen, Viet‐Linh Tran
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 1365-1383
Closed Access | Times Cited: 4
Novel hybrid SCA-XGB model for compressive strength of concrete at elevated temperatures
Thi-Quynh Nguyen, Trong-Cuong Vo, Thi-Thu Hien Nguyen, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 1741-1751
Closed Access | Times Cited: 4
Estimating the compressive strength of roller compacted concrete using a novel swarm-optimised light gradient boosting machine
Nhat‐Duc Hoang
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 4
An efficient long short-term memory-based model for prediction of the load-displacement curve of concrete-filled double-skin steel tubular columns
Dai-Nhan Le, Thai‐Hoan Pham, Tuan-Dung Pham, et al.
Construction and Building Materials (2024) Vol. 449, pp. 138122-138122
Closed Access | Times Cited: 1
Short-Beam Shear Strength of New-Generation Glass Fiber-Reinforced Polymer Bars Under Harsh Environment: Experimental Study and Artificial Neural Network Prediction Model
Mesfer M. Al‐Zahrani
Polymers (2024) Vol. 16, Iss. 23, pp. 3358-3358
Open Access
Robustness of hybrid light gradient boosting for concrete creep compliance prediction
Viet‐Linh Tran, Duc‐Kien Thai, Jin-Kook Kim
Advances in Engineering Software (2024) Vol. 201, pp. 103831-103831
Closed Access
Mixture Design for Lightweight Geopolymer Concrete
Sathya Thukkaram
ACI Materials Journal (2024)
Closed Access
Review of Recent Advances on AI Applications in Civil Engineering
Yaren Aydın, Gebrai̇l Bekdaş, Sinan Melih Niğdeli
Springer tracts in nature-inspired computing (2024), pp. 107-130
Closed Access
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