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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:

Development of ensemble machine learning approaches for designing fiber-reinforced polymer composite strain prediction model
Abdalrhman Milad, Sadaam Hadee Hussein, Ahlam R. Khekan, et al.
Engineering With Computers (2021) Vol. 38, Iss. 4, pp. 3625-3637
Closed Access | Times Cited: 51

Showing 26-50 of 51 citing articles:

Machine Learning Techniques for the Design and Optimization of Polymer Composites: A Review
J. Maniraj, A. Felix Sahayaraj, C. Ram Kumar, et al.
E3S Web of Conferences (2023) Vol. 428, pp. 02013-02013
Open Access | Times Cited: 7
A machine-learning-enabled approach for bridging multiscale simulations of CNTs/PDMS composites
Lingjie Yu, Chao Zhi, Zhiyuan Sun, et al.
National Science Open (2024), pp. 20230055-20230055
Open Access | Times Cited: 2
Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective
Chi Wu, Yanan Xu, Jianguang Fang, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 2
Mid-span displacement and damage degree predictions of RC beams under blast loading using machine learning-based models
Phi-Long Tran, Viet‐Linh Tran, Jin-Kook Kim
Structures (2024) Vol. 65, pp. 106702-106702
Closed Access | Times Cited: 2
Predicting mechanical properties of sustainable green concrete using novel machine learning: Stacking and gene expression programming
Muhammad Waqas Ashraf, Adnan Khan, Yongming Tu, et al.
REVIEWS ON ADVANCED MATERIALS SCIENCE (2024) Vol. 63, Iss. 1
Open Access | Times Cited: 2
Knowledge synthesis of intelligent decision techniques applications in the AECO industry
Longhui Liao, Lirong Quan, Chuan Yang, et al.
Automation in Construction (2022) Vol. 140, pp. 104304-104304
Closed Access | Times Cited: 10
Blast resistance of CFRP composite strengthened masonry arch bridge under close-range explosion
A Azar, Ali Sarı
Advances in Bridge Engineering (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 1
A Machine Learning Model for the Prediction of Concrete Penetration by the Ogive Nose Rigid Projectile
Qadir Bux alias Imran Latif, Zubair Ahmed Memon, Zafar Mahmood, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2040-2040
Open Access | Times Cited: 8
Comparison of ML algorithms for prediction of tensile strength of polymer matrix composites
Aditi Mahajan, Simran Bajoliya, Shanu Khandelwal, et al.
Materials Today Proceedings (2022)
Closed Access | Times Cited: 8
Axial strength prediction of seawater sea sand concrete-filled circular FRP tubes under alkaline environment based on ensemble learning algorithms
Maria D.C. Hernandez Obando, Mudassir Iqbal, Daxu Zhang, et al.
Thin-Walled Structures (2023) Vol. 195, pp. 111530-111530
Closed Access | Times Cited: 4
Utilising machine learning algorithms to predict the Marshall characteristics of asphalt pavement layers
Alyne Anak Tangga, Hussein A. L. Mufargi, Abdalrhman Milad, et al.
Innovative Infrastructure Solutions (2024) Vol. 9, Iss. 10
Closed Access | Times Cited: 1
Formation of fiber composites with an epoxy matrix: state-of-the-art and future development
Igor Е. Uflyand, Т. Ф. Иржак, В. И. Иржак
Materials and Manufacturing Processes (2021) Vol. 37, Iss. 7, pp. 723-747
Closed Access | Times Cited: 11
Predictive Model for Creep Behavior of Composite Materials Using Gene Expression Programming
Hua Tan, Sirong Zhu, Shilin Yan, et al.
Applied Composite Materials (2023) Vol. 30, Iss. 3, pp. 1003-1030
Closed Access | Times Cited: 3
A High-Generalizability Machine Learning Framework for Analyzing the Homogenized Properties of Short Fiber-Reinforced Polymer Composites
Yunmei Zhao, Zhenyue Chen, Xiaobin Jian
Polymers (2023) Vol. 15, Iss. 19, pp. 3962-3962
Open Access | Times Cited: 3
Tensile Test Optimization Using the Design of Experiment and Soft Computing
Mehdi Moayyedian, Mohammad Reza Chalak Qazani, Vuk Cvorovic, et al.
Processes (2023) Vol. 11, Iss. 11, pp. 3106-3106
Open Access | Times Cited: 2
Boosting machine learning algorithms for predicting the macroscopic material behavior of continuous fiber reinforced composite
Aiman Tariq, Ayşe Polat, Babür Deliktaş
Journal of Reinforced Plastics and Composites (2024)
Closed Access
Achieving sustainability by additive manufacturing: a state-of-the-art review and perspectives
Jinlong Su, Wei Long Ng, Jia An, et al.
Virtual and Physical Prototyping (2024) Vol. 19, Iss. 1
Open Access
Upgrading the hanger resistance of RC inverted T-girders using externally bonded carbon fiber reinforced polymers (EB-CFRP)
A. Atta, Reda N. Behiry, Mohammed I. Haraz
Structures (2023) Vol. 53, pp. 1557-1581
Closed Access | Times Cited: 1
Assessment of the fracture energy of concrete applying hybridized support vector regression analysis
Yin Suyuan, LI Jing-tao, Jing Wang
Multiscale and Multidisciplinary Modeling Experiments and Design (2023) Vol. 7, Iss. 1, pp. 263-279
Closed Access | Times Cited: 1
Stochastic optimization of carbon nanotube reinforced concrete for enhanced structural performance
Ioannis Kalogeris, Stefanos Pyrialakos, Odysseas Kokkinos, et al.
Engineering With Computers (2022) Vol. 39, Iss. 4, pp. 2927-2943
Closed Access | Times Cited: 2
Experimental Study on the Blast Resistance Performance of FRP Grid & Mortar Reinforced Concrete Arch Structure
Meirong Jiang, Shihu Qi, Shikun Pu, et al.
Materials (2022) Vol. 15, Iss. 20, pp. 7149-7149
Open Access | Times Cited: 2
The Future of Ultrasonic Transducers: How Machine Learning is Driving Innovation
Danial Gandomzadeh, Abbas Rohani, Mohammad Hossein Abbaspour‐Fard
(2023)
Closed Access
Absorption and Utilization of Pollutants in Water: A Novel Model for Predicting the Carrying Capacity and Sustainability of Buildings
Enyang Mei, Kunyang Yu
Water (2023) Vol. 15, Iss. 17, pp. 3152-3152
Open Access
Accurate determination of interfacial thermal resistance inside particle-laden composites based on high-throughput computation and machine learning
Xiaoxin Lu, Jiabin Huang, NAN CHENG, et al.
(2022)
Open Access
Predicting effective thermal conductivity of thermal interface materials using machine learning
Xiaoxin Lu, Nan Cheng, Jibao Lu, et al.
2022 23rd International Conference on Electronic Packaging Technology (ICEPT) (2022) Vol. 85, pp. 1-4
Closed Access

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