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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:

Bond stress estimation of profiled steel-concrete in steel reinforced concrete composite structures using ensemble machine learning approaches
Shuyuan Zhang, Jinjun Xu, Tao Lai, et al.
Engineering Structures (2023) Vol. 294, pp. 116725-116725
Closed Access | Times Cited: 22

Showing 22 citing articles:

Prediction of non-uniform shrinkage of steel-concrete composite slabs based on explainable ensemble machine learning model
Shiqi Wang, Jinlong Liu, Qinghe Wang, et al.
Journal of Building Engineering (2024) Vol. 88, pp. 109002-109002
Closed Access | Times Cited: 11
Integrating reinforcement learning and serious games to support people with rare genetic diseases and neurodevelopmental disorders: outcomes on parents and caregivers
Fabrizio Stasolla, Khalida Akbar, Anna Passaro, et al.
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 5
Explainable artificial intelligence framework for FRP composites design
Mostafa Yossef, Mohamed Noureldin, Aghyad Alqabbany
Composite Structures (2024) Vol. 341, pp. 118190-118190
Open Access | Times Cited: 5
Designing a reliable machine learning system for accurately estimating the ultimate condition of FRP-confined concrete
Meysam Alizamir, Aliakbar Gholampour, Sungwon Kim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
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: 5
Machine learning for design, optimization and assessment of steel-concrete composite structures: A review
Xianlin Wang, Bozhou Zhuang, Danny Smyl, et al.
Engineering Structures (2025) Vol. 328, pp. 119652-119652
Closed Access
Deep learning-based modelling of polyvinyl chloride tube-confined concrete columns under different load eccentricities
Li Shang, Haytham F. Isleem, Mostafa M. Alsaadawi
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110217-110217
Closed Access
An explainable boosting-based ensemble machine learning model for predicting the properties of date palm fiber reinforced concrete
Musa Adamu, Sanjog Chhetri Sapkota, Sourav Das, et al.
Sustainable Chemistry and Pharmacy (2025) Vol. 44, pp. 101949-101949
Closed Access
Framework for investigating structure cracking using real engineering data combined with physics constraints
Han Si, Qiang Wang, Xin Ruan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An interpretable machine learning model for failure pressure prediction of blended hydrogen natural gas pipelines containing a crack-in-dent defect
Guojin Qin, Chao Zhang, Bohong Wang, et al.
Energy (2025), pp. 135401-135401
Closed Access
Interpretable Machine Learning Models for Prediction of UHPC Creep Behavior
Peng Zhu, Wenshuo Cao, Lianzhen Zhang, et al.
Buildings (2024) Vol. 14, Iss. 7, pp. 2080-2080
Open Access | Times Cited: 4
Probabilistic models for characteristic bond stresses of steel-concrete in steel reinforced concrete structures
Yong Yu, T. Xie, Jinjun Xu, et al.
Engineering Structures (2023) Vol. 300, pp. 117167-117167
Closed Access | Times Cited: 10
AI-guided design framework for bond behavior of steel-concrete in steel reinforced concrete composites: From dataset cleaning to feature engineering
Metin Katlav, Mehmet Emin Tabar, Kâzım Türk
Materials Today Communications (2024) Vol. 42, pp. 111286-111286
Closed Access | Times Cited: 3
Machine Learning-based prediction of seismic lateral deflection of steel trusses using nonlinear time-history analysis
Huu-Hue Nguyen, Viet-Hung Truong
Structures (2024) Vol. 69, pp. 107369-107369
Closed Access | Times Cited: 2
A data-driven prediction for concrete crack propagation path based on deep learning method
Jiawei Lei, Chengkan Xu, Chaofeng Lü, et al.
Case Studies in Construction Materials (2024), pp. e03883-e03883
Open Access | Times Cited: 2
Enhancing load prediction for structures with concrete overlay using transfer learning of time–frequency feature-based deep models
Pooria Khademi, Mohsen Mousavi, Ulrike Dackermann, et al.
Engineering Structures (2024) Vol. 305, pp. 117734-117734
Open Access | Times Cited: 2
Service life evaluation of marine concrete structures considering spatial and temporal characteristics: A framework based on multi training-MCS-NLS
Shiqi Wang, Renjie Wu, Fuyuan Gong, et al.
Engineering Structures (2024) Vol. 322, pp. 119193-119193
Closed Access | Times Cited: 1
Estimation and interpretation of interfacial bond in concrete-filled steel tube by using optimized XGBoost and SHAP
Hao Sheng, Zhigang Ren, Dian Wang, et al.
Structures (2024) Vol. 70, pp. 107669-107669
Closed Access | Times Cited: 1
Robustness of hybrid light gradient boosting for concrete creep compliance prediction
Viet‐Linh Tran, Duc‐Kien Thai, Jin-Kook Kim
Advances in Engineering Software (2024) Vol. 201, pp. 103831-103831
Closed Access
Investigation on seismic behavior of a new beam-column joint for precast concrete structures under reversed cyclic loading
Hu Li, Yongfeng Du, Jianping Han, et al.
Structures (2024) Vol. 70, pp. 107782-107782
Closed Access
Seismic Design and Performance Evaluation of Coupled Steel Plate and Reinforced Concrete Composite Walls
Aozhou Liu, Yuntian Wu, Bin Wang, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2242-2242
Open Access | Times Cited: 1
Prediction model for heating rate of section steel during the induction heating demolition process of steel reinforced Concrete：Experimental and numerical analysis
Chonghao Xu, Wenzhong Zheng, Ying Wang, et al.
Journal of Building Engineering (2023) Vol. 82, pp. 108260-108260
Closed Access
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