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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-based classification of quality grades for concrete vibration behaviour
Shuai Fan, Tao He, Weihao Li, et al.
Automation in Construction (2024) Vol. 167, pp. 105694-105694
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Combined influence of modified recycled concrete aggregate and metakaolin on high-strength concrete production: Experimental assessment and machine learning quantifications with advanced SHAP and PDP analyses
Md. Habibur Rahman Sobuz, Md Mushfiqur Rahman, Rahat Aayaz, et al.
Construction and Building Materials (2025) Vol. 461, pp. 139897-139897
Closed Access | Times Cited: 5
A machine learning algorithm-enhanced mathematical simulation based on Carrera unified formulation to estimate fundamental frequency of the FG origami-enabled metamaterial composite system surrounded by auxetic concrete foundation
Qiujie Wei, Jialing Li, Xi Cheng, et al.
Mechanics of Advanced Materials and Structures (2025), pp. 1-24
Closed Access | Times Cited: 1
Innovative hybrid machine learning models for estimating the compressive strength of copper mine tailings concrete
Mana Alyami, Kennedy C. Onyelowe, Ali H. AlAteah, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03869-e03869
Open Access | Times Cited: 6
Utilizing contemporary machine learning techniques for determining soilcrete properties
Waleed Bin Inqiad, Muhammad Saud Khan, Zeeshan Mehmood, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 1
Open Access
Bending and Free Vibrations Analysis of Sandwich Beams with Porous Functionally Graded Face Sheets and a Graphene Platelets-Reinforced Aluminum Core Using a New Quasi-3D Beam Theory
Mohamed El Amine Belkhodja, Sidi Mohammed Chorfi, Sid Ahmed Belalia, et al.
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 1
Closed Access
Application of the Carrera unified formulation and machine learning for vibration analysis of composite structures as the main part of construction robotics
Yun Zeng, Zhiming Ding, Shuzhen Chen, et al.
Mechanics of Advanced Materials and Structures (2025), pp. 1-23
Closed Access
Utilization of numerical and machine learning to predict the monotonic compressive response of square double-skin tubular columns (SDSTC)
Rende Mu, Haytham F. Isleem, Ali Jahami, et al.
Structures (2025) Vol. 72, pp. 108206-108206
Closed Access
Machine Learning Techniques for Estimating High–Temperature Mechanical Behavior of High Strength Steels
Cüneyt Yazıcı, F. J. Domínguez-Gutiérrez
Results in Engineering (2025) Vol. 25, pp. 104242-104242
Closed Access
Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms
Mana Alyami, Irfan Ullah, Furqan Ahmad, et al.
Case Studies in Construction Materials (2025), pp. e04357-e04357
Open Access
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
Improved prediction of soil shear strength using machine learning algorithms: interpretability analysis using SHapley Additive exPlanations
Mahmood Ahmad, Mohammad Al-Zubi, Hamad Almujibah, et al.
Frontiers in Earth Science (2025) Vol. 13
Open Access
Machine learning-based prediction of elliptical double steel columns under compression loading
Rende Mu, Haytham F. Isleem, Walaa J. K. Almoghaye, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Analyzing the compressive strength, eco-strength, and cost–strength ratio of agro-waste-derived concrete using advanced machine learning methods
Muhammad Nasir Amin, Bawar Iftikhar, Kaffayatullah Khan, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2025) Vol. 64, Iss. 1
Open Access
Tensile behavior evaluation of two-stage concrete using an innovative model optimization approach
Muhammad Nasir Amin, Faizullah Jan, Kaffayatullah Khan, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2025) Vol. 64, Iss. 1
Open Access
Variable-thickness higher-order sandwich beams with FG cellular core and CNT-RC patches: vibrational analysis in thermal environment
Ehsan Arshid, Zahra Khoddami Maraghi, Ömer Cívalek
Archive of Applied Mechanics (2024) Vol. 95, Iss. 1
Closed Access | Times Cited: 4
Free vibration behaviour of curved Miura-folded bio-inspired helicoidal laminated composite cylindrical shells using HSDT assisted by machine learning-based IGA
Aman Garg, Weiguang Zheng, Mehmet Avcar, et al.
Composite Structures (2025), pp. 118933-118933
Closed Access
Predicting residual strength of hybrid fibre-reinforced Self-compacting concrete (HFR-SCC) exposed to elevated temperatures using machine learning
Muhammad Saud Khan, Liqiang Ma, Waleed Bin Inqiad, et al.
Case Studies in Construction Materials (2024) Vol. 22, pp. e04112-e04112
Closed Access | Times Cited: 2
An evolutionary approach to predict slope displacement of earth embankments unde earthquake ground motions
Z.‐H. Jin, Biao Yuan, Siyu Fan, et al.
Journal of Engineering Research (2024)
Open Access | Times Cited: 1
Machine Learning Prediction of Recycled Concrete Powder with Experimental validation and Life Cycle Assessment study
Aneel Manan, Pu Zhang, Weiyi Chen, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e04053-e04053
Open Access | Times Cited: 1
Multi-targeted strength properties of recycled aggregate concrete through a machine learning approach
Aneel Manan, Pu Zhang, Jawad Ahmad, et al.
Engineering Computations (2024) Vol. 42, Iss. 1, pp. 388-430
Closed Access | Times Cited: 1
Machine learning models for predicting the compressive strength of cement-based mortar materials: Hyper tuning and optimization
Mana Alyami, Irfan Ullah, Ali H. AlAteah, et al.
Structures (2024) Vol. 71, pp. 107931-107931
Closed Access | Times Cited: 1
A fractional adaptive type-2 fuzzy structural control system: Theoretical/experimental study
Chunwei Zhang, Meihua Liu, Ardashir Mohammadzadeh, et al.
Structures (2024) Vol. 70, pp. 107843-107843
Closed Access
Investigating the effect of textile layers on the flexural response of Textile Reinforced Concrete (TRC) panels
Sophia Immanuel, K. Baskar
Structures (2024) Vol. 71, pp. 108112-108112
Closed Access
Suitability of using mussel shells as partial replacement of aggregates in self-compacting concrete
Gopal Bharamappa Bekkeri, Kiran Kumar Shetty, Gopinatha Nayak, et al.
Materials Research Express (2024) Vol. 11, Iss. 10, pp. 105510-105510
Open Access
The Influence of Shear Connectors in a Longitudinal Arrangement on Free Vibrations of Steel–Concrete Composite Beams
Qikai Sun, Chao Zhang, Yabin Yan, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3536-3536
Open Access
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