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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:

A novel integrated approach of augmented grey wolf optimizer and ANN for estimating axial load carrying-capacity of concrete-filled steel tube columns
Abidhan Bardhan, Rahul Biswas, Navid Kardani, et al.
Construction and Building Materials (2022) Vol. 337, pp. 127454-127454
Closed Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Rubberized geopolymer composites: A comprehensive review
Shaker Qaidi, Ahmed Salih Mohammed, Hemn Unis Ahmed, et al.
Ceramics International (2022) Vol. 48, Iss. 17, pp. 24234-24259
Closed Access | Times Cited: 179
Compressive strength of concrete material using machine learning techniques
Satish Paudel, Anil Pudasaini, Rajesh Kumar Shrestha, et al.
Cleaner Engineering and Technology (2023) Vol. 15, pp. 100661-100661
Open Access | Times Cited: 51
Nonlinear finite element and analytical modelling of reinforced concrete filled steel tube columns under axial compression loading
Haytham F. Isleem, Naga Dheeraj Kumar Reddy Chukka, Alireza Bahrami, et al.
Results in Engineering (2023) Vol. 19, pp. 101341-101341
Open Access | Times Cited: 46
ANN-based swarm intelligence for predicting expansive soil swell pressure and compression strength
Fazal E. Jalal, Mudassir Iqbal, Waseem Akhtar Khan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 28
Hybrid nonlinear regression model versus MARS, MEP, and ANN to evaluate the effect of the size and content of waste tire rubber on the compressive strength of concrete
Dilshad Kakasor Ismael Jaf, Aso A. Abdalla, Ahmed Salih Mohammed, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25997-e25997
Open Access | Times Cited: 22
Machine learning and nonlinear finite element analysis of fiber‐reinforced polymer‐confined concrete‐steel double‐skin tubular columns under axial compression
Haytham F. Isleem, Qiong Tang, Naga Dheeraj Kumar Reddy Chukka, et al.
Structural Concrete (2024)
Closed Access | Times Cited: 17
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: 2
CFST failure mode identification and reliability analysis under lateral impact based on machine learning
Nan Xu, Yanhui Liu, Jun Zhou, et al.
Engineering Structures (2025) Vol. 328, pp. 119718-119718
Closed Access | Times Cited: 2
Success and challenges in predicting TBM penetration rate using recurrent neural networks
Feng Shan, Xuzhen He, Danial Jahed Armaghani, et al.
Tunnelling and Underground Space Technology (2022) Vol. 130, pp. 104728-104728
Closed Access | Times Cited: 67
Machine learning based computational approach for crack width detection of self-healing concrete
Fadi Althoey, Muhammad Nasir Amin, Kaffayatullah Khan, et al.
Case Studies in Construction Materials (2022) Vol. 17, pp. e01610-e01610
Closed Access | Times Cited: 54
Review of the grey wolf optimization algorithm: variants and applications
Yunyun Liu, Azizan As’arry, Mohd Khair Hassan, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 6, pp. 2713-2735
Closed Access | Times Cited: 33
Machine learning techniques for prediction of failure loads and fracture characteristics of high and ultra-high strength concrete beams
Rakesh Kumar, Baboo Rai, Pijush Samui
Innovative Infrastructure Solutions (2023) Vol. 8, Iss. 8
Closed Access | Times Cited: 25
Parametric investigation of rectangular CFRP-confined concrete columns reinforced by inner elliptical steel tubes using finite element and machine learning models
Haytham F. Isleem, Besukal Befikadu Zewudie, Alireza Bahrami, et al.
Heliyon (2023) Vol. 10, Iss. 2, pp. e23666-e23666
Open Access | Times Cited: 24
A novel integrated approach of RUNge Kutta optimizer and ANN for estimating compressive strength of self-compacting concrete
Rahul Biswas, Manish Kumar, Raushan Kumar Singh, et al.
Case Studies in Construction Materials (2023) Vol. 18, pp. e02163-e02163
Open Access | Times Cited: 22
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
Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models
Hongkun Fu, Jian Lü, Jian Li, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 205-205
Open Access | Times Cited: 1
Research and application of an evolutionary deep learning model based on improved grey wolf optimization algorithm and DBN-ELM for AQI prediction
Yiman Li, Peng Tian, Lei Hua, et al.
Sustainable Cities and Society (2022) Vol. 87, pp. 104209-104209
Closed Access | Times Cited: 35
A comparative study on the most effective machine learning model for blast loading prediction: From GBDT to Transformer
Qilin Li, Yang Wang, Yanda Shao, et al.
Engineering Structures (2022) Vol. 276, pp. 115310-115310
Closed Access | Times Cited: 35
Development of hybrid models using metaheuristic optimization techniques to predict the carbonation depth of fly ash concrete
Rahul Biswas, Enming Li, Ning Zhang, et al.
Construction and Building Materials (2022) Vol. 346, pp. 128483-128483
Closed Access | Times Cited: 31
Determining Seismic Bearing Capacity of Footings Embedded in Cohesive Soil Slopes Using Multivariate Adaptive Regression Splines
Van Qui Lai, Fengwen Lai, Dayu Yang, et al.
International Journal of Geosynthetics and Ground Engineering (2022) Vol. 8, Iss. 4
Open Access | Times Cited: 29
Effects of Polypropylene Waste Addition as Coarse Aggregates in Concrete: Experimental Characterization and Statistical Analysis
D. Naveen, K. Naresh, B. S. Keerthi Gowda, et al.
Advances in Materials Science and Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 29
Estimating Flexural Strength of FRP Reinforced Beam Using Artificial Neural Network and Random Forest Prediction Models
Kaffayatullah Khan, Mudassir Iqbal, Babatunde Abiodun Salami, et al.
Polymers (2022) Vol. 14, Iss. 11, pp. 2270-2270
Open Access | Times Cited: 28
Machine learning-based model for the ultimate strength of circular concrete-filled fiber-reinforced polymer–steel composite tube columns
Kunting Miao, Zichao Pan, Airong Chen, et al.
Construction and Building Materials (2023) Vol. 394, pp. 132134-132134
Closed Access | Times Cited: 21
Grey Wolf Optimizer and Discrete Chaotic Map for Substitution Boxes Design and Optimization
Ali Ibrahim Lawah, Abdullahi Abdu Ibrahim, Sinan Q. Salih, et al.
IEEE Access (2023) Vol. 11, pp. 42416-42430
Open Access | Times Cited: 20
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
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