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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:

Application of artificial bee colony programming techniques for predicting the compressive strength of recycled aggregate concrete
Seyed Amirhossein Moghaddas, Masood Nekoei, Emadaldin Mohammadi Golafshani, et al.
Applied Soft Computing (2022) Vol. 130, pp. 109641-109641
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Metaheuristic optimization based- ensemble learners for the carbonation assessment of recycled aggregate concrete
Emadaldin Mohammadi Golafshani, Ali Behnood, Taehwan Kim, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111661-111661
Open Access | Times Cited: 19
Application of machine learning initiatives and intelligent perspectives for CO2 emissions reduction in construction
Leila Farahzadi, Mahdi Kioumarsi
Journal of Cleaner Production (2022) Vol. 384, pp. 135504-135504
Open Access | Times Cited: 62
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: 37
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: 15
A systematic literature review of AI-based prediction methods for self-compacting, geopolymer, and other eco-friendly concrete types: Advancing sustainable concrete
Tariq Ali, Mohamed Hechmi El Ouni, Muhammad Zeeshan Qureshi, et al.
Construction and Building Materials (2024) Vol. 440, pp. 137370-137370
Closed Access | Times Cited: 11
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: 18
Machine learning-driven innovations in green eco-environmental rubberized concrete design towards sustainability
Haï-Bang Ly, Thuy‐Anh Nguyen
Materials Today Communications (2024) Vol. 39, pp. 108551-108551
Closed 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: 8
Estimation of concrete compressive strength from non-destructive tests using a customized neural network and genetic algorithm
Jun Su Park, Seokhun Park, Byung Kwan Oh, et al.
Applied Soft Computing (2024) Vol. 164, pp. 111941-111941
Closed Access | Times Cited: 7
Orthogonal experimental design for compressive strength of recycled coarse aggregate concrete with silica fume-slag-fly ash hybrid micro-powders
Chengyuan Wang, Juan Wang, Xu Liu, et al.
Construction and Building Materials (2023) Vol. 408, pp. 133669-133669
Closed Access | Times Cited: 16
Investigating the best automatic programming method in predicting the aerodynamic characteristics of wind turbine blade
Sibel Arslan, Kemal Koca
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106210-106210
Closed Access | Times Cited: 10
A reliable approach for classifying metakaolin content of high-Performance concrete via machine learning algorithm
Chao Zhang, Xiaoyong Zhao, Jian Chen, et al.
International Journal of Pavement Engineering (2025) Vol. 26, Iss. 1
Closed Access
Analyzing the Behavior of Geopolymer Concrete with Different Novel Machine-Learning Algorithms
Sanjog Chhetri Sapkota, Dipak Dahal, Ajay Kumar Yadav, et al.
Journal of structural design and construction practice. (2025) Vol. 30, Iss. 3
Closed Access
Comparative Analysis of Hybrid and Ensemble Machine Learning Approaches in Predicting Football Player Transfer Values
Wenjing Zhang, Dan Cao
Cognitive Computation (2025) Vol. 17, Iss. 2
Closed Access
Optimizing Composite Material Selection Using the Artificial Bee Colony Algorithm
L. S. Sindhuja, K. S. Shreenidhi, Harishchander Anandaram, et al.
Advances in computational intelligence and robotics book series (2025), pp. 361-386
Closed Access
Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and LASSO machine learning techniques
Juan Carlos Álvarez Antón, P.J. Garcı́a Nieto, Esperanza García–Gonzalo, et al.
Journal of Computational and Applied Mathematics (2023) Vol. 433, pp. 115305-115305
Open Access | Times Cited: 9
Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization‐based hybrid artificial neural network
Ramin Kazemi, Emadaldin Mohammadi Golafshani, Ali Behnood
Structural Concrete (2023) Vol. 25, Iss. 2, pp. 1343-1363
Closed Access | Times Cited: 9
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: 3
Unveiling the potential of an evolutionary approach for accurate compressive strength prediction of engineered cementitious composites
Amirhossein Davarpanah T.Q., Amir R. Masoodi, Amir H. Gandomi
Case Studies in Construction Materials (2023) Vol. 19, pp. e02172-e02172
Open Access | Times Cited: 6
Development of Artificial Intelligence Based Safety Performance Measures for Urban Roundabouts
Fayez Alanazi, Ibrahim Khalil Umar, Sadi Ibrahim Haruna, et al.
Sustainability (2023) Vol. 15, Iss. 14, pp. 11429-11429
Open Access | Times Cited: 4
An innovative moment balanced inference engine for predicting recycled concrete aggregate strength and minimizing mixture CO2 emissions
Min‐Yuan Cheng, Riqi Radian Khasani
Construction and Building Materials (2024) Vol. 441, pp. 137482-137482
Closed Access | Times Cited: 1
Enhancing the predictive accuracy of recycled aggregate concrete’s strength using machine learning and statistical approaches: a review
Jawad Tariq, Kui Hu, Syed Tafheem Abbas Gillani, et al.
Asian Journal of Civil Engineering (2024)
Closed Access | Times Cited: 1
Analyzing the Performance of Different Compactor Techniques in Data Compression & Source Coding
Ankit Varshney, K. Suneetha, Dhananjay Kumar Yadav
(2024), pp. 1-6
Closed Access | Times Cited: 1
Immune Plasma Programming: A new evolutionary computation-based automatic programming method
Sibel Arslan
Applied Soft Computing (2023) Vol. 152, pp. 111204-111204
Closed Access | Times Cited: 1
Prediction of Split Tensile Strength of Recycled Aggregate Concrete Leveraging Explainable Hybrid XGB with Optimization Algorithm
Sanjog Chhetri Sapkota, Sagar Sapkota, Gaurav Saini
Research Square (Research Square) (2024)
Open Access
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