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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:

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

Showing 11 citing articles:

An investigation using resampling techniques and explainable machine learning to minimize fire losses in residential buildings
Zenghui Liu, Yingnan Zhuang
Journal of Building Engineering (2024) Vol. 95, pp. 110080-110080
Closed Access | Times Cited: 5
Exploring the stainless-steel beam-to-column connections response: A hybrid explainable machine learning framework for characterization
Sina Sarfarazi, Rabee Shamass, Federico Guarracino, et al.
Frontiers of Structural and Civil Engineering (2025)
Closed Access
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
Application of Machine Learning to Identify Key Features Affecting Conductivity in CNT/ PEDOT:PSS Nanocomposites
Chengcheng Peng, Guosheng Chen, Cailiu Yin, et al.
(2025)
Closed Access
Application of machine learning to identify key features affecting conductivity in CNT/ PEDOT:PSS nanocomposites
Chengcheng Peng, Guosheng Chen, Cailiu Yin, et al.
Materials Today Communications (2025) Vol. 44, pp. 112097-112097
Closed Access
Performance evaluation of conductive materials in conductive mortar based on machine learning
Shuxian Hong, Jie Wu, Biqin Dong, et al.
Journal of Building Engineering (2024) Vol. 92, pp. 109695-109695
Closed Access | Times Cited: 4
Study on Carbon Emission Influencing Factors and Carbon Emission Reduction Potential in China's Food Production Industry
Yuanping Wang, Lang Hu, Lingchun Hou, et al.
Environmental Research (2024) Vol. 261, pp. 119702-119702
Closed Access | Times Cited: 3
Intelligent evaluation of interference effects between tall buildings based on wind tunnel experiments and explainable machine learning
Kun Wang, Jinlong Liu, Yong Quan, et al.
Journal of Building Engineering (2024) Vol. 96, pp. 110449-110449
Closed Access | Times Cited: 3
Multimodal Optimization of Concrete Mix Design for Sustainable Load Bearing Wall Panels: Mean-Mix − Artificial Intelligence − Experimentation Fusion
Summra Khalid, Khuram Rashid, Khadija Mawra, et al.
Case Studies in Construction Materials (2024), pp. e03868-e03868
Open Access | Times Cited: 1
Intelligent prediction framework for axial compressive capacity of FRP-RACFST columns
Qicheng Xu, Junpeng Li, Yingcai Fang, et al.
Materials Today Communications (2024), pp. 110999-110999
Closed Access | Times Cited: 1
Failure mode identification in reinforced concrete flat slabs using advanced ensemble neural networks
Mohammad Sadegh Barkhordari, Hadi Fattahi, Danial Jahed Armaghani, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 6, pp. 5759-5773
Open Access | Times Cited: 1
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