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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:

Nonmodel rapid seismic assessment of eccentrically braced frames incorporating masonry infills using machine learning techniques
Romina Chalabi, Omid Yazdanpanah, Kiarash M. Dolatshahi
Journal of Building Engineering (2023) Vol. 79, pp. 107784-107784
Closed Access | Times Cited: 17

Showing 17 citing articles:

RAGN-R: A multi-subject ensemble machine-learning method for estimating mechanical properties of advanced structural materials
Farzin Kazemi, Aybike Özyüksel Çiftçioğlu, Torkan Shafighfard, et al.
Computers & Structures (2025) Vol. 308, pp. 107657-107657
Closed Access | Times Cited: 2
Advanced tree-based machine learning methods for predicting the seismic response of regular and irregular RC frames
Ahmet Demir, Emrehan Kutluğ Şahin, Selçuk Demir
Structures (2024) Vol. 64, pp. 106524-106524
Closed Access | Times Cited: 7
Hybrid stacked neural network empowered by novel loss function for structural response history prediction using input excitation and roof acceleration
Reza Karami, Omid Yazdanpanah, Kiarash M. Dolatshahi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108984-108984
Closed Access | Times Cited: 7
Evaluation and estimation of compressive strength of concrete masonry prism using gradient boosting algorithm
Lanh Si Ho, Van Quan Tran
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0297364-e0297364
Open Access | Times Cited: 4
Rapid inversion of seismic damage to masonry infill walls based on diffusion models
Tianyang Zhang, Yujie Lu, Yijie Cai, et al.
Engineering Failure Analysis (2025), pp. 109371-109371
Closed Access
Augmented neural ordinary differential equations with physical information for structural seismic response prediction using limited data
Sen Yang, Yi Zhang, Min Luo, et al.
Engineering Structures (2025) Vol. 332, pp. 120087-120087
Closed Access
The Application of the Novel Kolmogorov–Arnold Networks for Predicting the Fundamental Period of RC Infilled Frame Structures
Shan Lin, Kaiyang Zhao, Hongwei Guo, et al.
International journal of mechanical system dynamics (2025)
Open Access
A new global damage index for steel moment resisting frames based on two steps pushover analyses
Keyvan Jafari, Hamed Hamidi, Reza Soleimani
Structures (2024) Vol. 62, pp. 106212-106212
Closed Access | Times Cited: 3
Collapse mechanisms and fragility curves based on Lumped Damage Mechanics for RC frames subjected to earthquakes
Rúbia Mara Bosse, Júlio Flórez-López, Gustavo M.S. Gidrão, et al.
Engineering Structures (2024) Vol. 311, pp. 118115-118115
Closed Access | Times Cited: 3
Machine learning-based estimation of the out-of-plane displacement of brick infill exposed to earthquake shaking
Onur Onat, Harun Tanyıldızı
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109007-109007
Closed Access | Times Cited: 3
Smart bridge bearing monitoring: Predicting seismic responses with a multi‐head attention‐based CNN‐LSTM network
Omid Yazdanpanah, Minwoo Chang, M. K. Park, et al.
Earthquake Engineering & Structural Dynamics (2024)
Closed Access | Times Cited: 2
Residual strength and stiffness estimation for RC columns damaged in earthquake through surface crack texture analysis
Mobinasadat Afzali, Sara Jamshidian, Mohammadjavad Hamidia, et al.
Soil Dynamics and Earthquake Engineering (2024) Vol. 185, pp. 108855-108855
Closed Access | Times Cited: 1
Multivariable fragility surfaces for earthquake-induced damage assessment of buildings integrating structural features
Mahshad Jamdar, Kiarash M. Dolatshahi, Omid Yazdanpanah
Bulletin of Earthquake Engineering (2024)
Closed Access | Times Cited: 1
A novel hysteretic restoring force model for shear link dampers: A machine learning approach
Ahmed Elgammal, Yasmin Ali
Structures (2024) Vol. 70, pp. 107848-107848
Closed Access | Times Cited: 1
Prediction and design of mechanical properties of origami-inspired braces based on machine learning
Jianguo Cai, Huafei Xu, Jiacheng Chen, et al.
AI in Civil Engineering (2024) Vol. 3, Iss. 1
Open Access
Seismic drifts of buildings through deep neural networks circumventing incremental dynamic analysis: Aims and pitfalls for robust and reliable predictions
Konstantinos Theodoros Tsalouchidis, Christoph Adam
Journal of Building Engineering (2024), pp. 110755-110755
Open Access
Data-driven nonmodel seismic assessment of eccentrically braced frames with soil-structure interaction
Mahshad Jamdar, Kiarash M. Dolatshahi, Omid Yazdanpanah
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109549-109549
Closed Access
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