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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:

Symbolic machine learning improved MCFT model for punching shear resistance of FRP-reinforced concrete slabs
Shixue Liang, Yuanxie Shen, Xiangling Gao, et al.
Journal of Building Engineering (2023) Vol. 69, pp. 106257-106257
Closed Access | Times Cited: 24

Showing 24 citing articles:

Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers
Farzin Kazemi, Neda Asgarkhani, Torkan Shafighfard, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 30
LBE corrosion fatigue life prediction of T91 steel and 316 SS using machine learning method assisted by symbol regression
Shaowu Feng, Xingyue Sun, Gang Chen, et al.
International Journal of Fatigue (2023) Vol. 177, pp. 107962-107962
Closed Access | Times Cited: 24
Estimation and validation for fatigue properties of steels by symbolic regression
Weiwen Cao, Xingyue Sun, Xu Chen
International Journal of Fatigue (2024) Vol. 186, pp. 108416-108416
Closed Access | Times Cited: 11
Explainable machine learning models for punching shear capacity of FRP bar reinforced concrete flat slab without shear reinforcement
Jia Yan, Jie Su, Jinjun Xu, et al.
Case Studies in Construction Materials (2024) Vol. 20, pp. e03162-e03162
Open Access | Times Cited: 10
ANN based fire resistance prediction of FRP-strengthened RC slabs with fireproof panel including air layer
S. Kang, Chung-Yeol Lee, Jin-Kook Kim
Journal of Building Engineering (2024) Vol. 91, pp. 109512-109512
Closed Access | Times Cited: 6
Prediction and reliability analysis of shear strength of RC deep beams
Khaled Megahed
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Innovative Approaches to Predicting Maximum Load-Carrying Capacity of Fiber-Reinforced Polymer Reinforced Concrete Columns Using Machine Learning Techniques
Fkrat Latif Hamid, Ali Ramadhan Yousif, Bedar Rauf Hassan
Iranian Journal of Science and Technology Transactions of Civil Engineering (2025)
Closed Access
A Review of Punching Shear Strength in FRP-Reinforced Concrete Slab-Column Connections
Ragheb Salim
Turkish Journal of Civil Engineering (2025) Vol. 36, Iss. 3
Closed Access
Study on the application of discrepancy-guided symbolic regression algorithm in analyzing the impact resistance of UHP-SFRC target against high velocity projectile impact
Delei Zou, Dilyar Thoti, Zhenmin Bao
International Journal of Impact Engineering (2025), pp. 105276-105276
Closed Access
Prediction of minimum miscibility pressure of CO2-oil systems using grey-box modeling for carbon dioxide capture, utilization, storage, and enhanced oil recovery
Milad Asghari, Sajjad Moslehi, Mohammad Emami Niri, et al.
Journal of Petroleum Exploration and Production Technology (2025) Vol. 15, Iss. 3
Open Access
Metaheuristic Optimization of Random Forest for Predicting Punch Shear Strength of FRP-Reinforced Concrete Beams
Peixi Yang, Chuanqi Li, Yingui Qiu, et al.
Materials (2023) Vol. 16, Iss. 11, pp. 4034-4034
Open Access | Times Cited: 11
The Machine-Learning-Based Prediction of the Punching Shear Capacity of Reinforced Concrete Flat Slabs: An Advanced M5P Model Tree Approach
Marwa Hameed Abdallah, Zainab Abdulrdha Thoeny, Sadiq N. Henedy, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8325-8325
Open Access | Times Cited: 8
Experimental studies and symbolic machine learning aided prediction model of the mechanical properties of recycled waste slurry micropowder mortar
Zhengyu Fei, Shixue Liang, Yiqing Cai
Case Studies in Construction Materials (2024) Vol. 20, pp. e03060-e03060
Open Access | Times Cited: 2
Advanced soft computing techniques for predicting punching shear strength
Minh-Tu Cao
Journal of Building Engineering (2023) Vol. 79, pp. 107800-107800
Closed Access | Times Cited: 6
Exploring the shear performance and predictive shear capacity of corroded RC columns utilizing the modified compression-field theory: An investigative study
Yalin Li, Zhen Sun, Yaqi Li, et al.
Engineering Structures (2023) Vol. 302, pp. 117390-117390
Closed Access | Times Cited: 5
Hybrid Machine Learning Algorithms for Prediction of Failure Modes and Punching Resistance in Slab-Column Connections with Shear Reinforcement
Huajun Yan, Nan Xie, Dandan Shen
Buildings (2024) Vol. 14, Iss. 5, pp. 1247-1247
Open Access | Times Cited: 1
Punching shear strength of fiber-reinforced polymer concrete slabs: Database-driven assessment of parameters and prediction models
Aroob Al-Ateyat, Raghad Awad, Basil Ibrahim, et al.
Engineering Structures (2024) Vol. 315, pp. 118511-118511
Closed Access | Times Cited: 1
Machine Learning-Based Prediction Models for Punching Shear Strength of Fiber-Reinforced Polymer Reinforced Concrete Slabs Using a Gradient-Boosted Regression Tree
Emad A. Abood, Marwa Hameed Abdallah, Mahmood Alsaadi, et al.
Materials (2024) Vol. 17, Iss. 16, pp. 3964-3964
Open Access | Times Cited: 1
Multi-Objective Optimization Design of FRP Reinforced Flat Slabs under Punching Shear by Using NGBoost-Based Surrogate Model
Shixue Liang, Yiqing Cai, Zhengyu Fei, et al.
Buildings (2023) Vol. 13, Iss. 11, pp. 2727-2727
Open Access | Times Cited: 4
An Intelligent Framework for Deriving Formulas of Aerodynamic Forces between High-Rise Buildings under Interference Effects using Symbolic Regression Algorithms
Kun Wang, Tianhao Shen, Jingyu Wei, et al.
Journal of Building Engineering (2024), pp. 111614-111614
Closed Access | Times Cited: 1
The Efficiency of Using Machine Learning Techniques in Fiber-Reinforced-Polymer Applications in Structural Engineering
Mohammad Alhusban, Mohannad Alhusban, Ayah A. Alkhawaldeh
Sustainability (2023) Vol. 16, Iss. 1, pp. 11-11
Open Access | Times Cited: 3
Study on the relationship of design parameters and damage modes for RC slabs subjected to large-scale hard missile impacts base on task-driven approach
D.L. Zou, Xin Fang, Liang Xu, et al.
Structures (2023) Vol. 58, pp. 105635-105635
Closed Access | Times Cited: 2
The lead-bismuth eutectic corrosion rate prediction and composition optimization of ferritic/martensitic steels by physics-guided neural network
Shaowu Feng, Xingyue Sun, Gang Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109807-109807
Closed Access
A Heterogeneous Transfer Learning-Based Genetic Expression Programming Approach to Estimate Reinforced Concrete Beam Shear Strength
Jacob Dylan Murphy, Hongrak Pak, Stephanie German Paal
(2024)
Closed Access
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