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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:

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

Showing 10 citing articles:

Implementation of decision tree and Mamdani fuzzy inference system for Erythropoietin resistance prediction
Sri Kusumadewi, Linda Rosita, Elyza Gustri Wahyuni, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107496-107496
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
Probabilistic models for shear strength of circular and square concrete-filled steel tubes
Yong Yu, Wenjun Wu, Jia Yan, et al.
AIP Advances (2025) Vol. 15, Iss. 2
Open Access
Machine learning based predictive model for bond strength of FRP reinforced concrete at high temperature
Songtao Li, Yanlong Gao, Baolin Wang, et al.
AIP Advances (2025) Vol. 15, Iss. 2
Open Access
Machine learning prediction of residual tensile strength of glass fiber reinforced polymer bars in alkaline environments
Lingyu Tian, Luchen Wang, Guijun Xian
Structures (2025) Vol. 74, pp. 108552-108552
Closed Access
Soil temperature prediction based on explainable artificial intelligence and LSTM
Qingtian Geng, Leilei Wang, Qingliang Li
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 3
Machine-Learning-Based Predictive Models for Punching Shear Strength of FRP-Reinforced Concrete Slabs: A Comparative Study
Weidong Xu, Xian‐Ying Shi
Buildings (2024) Vol. 14, Iss. 8, pp. 2492-2492
Open Access | Times Cited: 3
Ensemble Machine Learning Models for Compressive Strength and Elastic Modulus of Recycled Brick Aggregate Concrete
Jia Yan, Jie Su, Jinjun Xu, et al.
Materials Today Communications (2024) Vol. 41, pp. 110635-110635
Closed Access | Times Cited: 3
Improving predictive accuracy for punching shear strength in fiber-reinforced polymer concrete slab-column connections via robust deep learning
Ammar Babiker, Yassir M. Abbas, Mohammad Iqbal Khan, et al.
Structures (2024) Vol. 70, pp. 107797-107797
Closed Access | Times Cited: 2
From robust deep-learning regression to refined design formulas for punching shear strength of internal GFRP-reinforced flat slab-column connections
Ammar Babiker, Yassir M. Abbas, M. Iqbal Khan, et al.
Engineering Structures (2024) Vol. 326, pp. 119534-119534
Closed Access
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