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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:

Machine learning based prediction model for plastic hinge length calculation of reinforced concrete structural walls
Mohammad Sadegh Barkhordari, Akram Jawdhari
Advances in Structural Engineering (2023) Vol. 26, Iss. 9, pp. 1714-1734
Closed Access | Times Cited: 12

Showing 12 citing articles:

Nonlinear finite element and machine learning modeling of tubed reinforced concrete columns under eccentric axial compression loading
Haytham F. Isleem, Naga Dheeraj Kumar Reddy Chukka, Alireza Bahrami, et al.
Alexandria Engineering Journal (2024) Vol. 92, pp. 380-416
Open Access | Times Cited: 22
Optimizing Gene Expression Programming to Predict Shear Capacity in Corrugated Web Steel Beams
Mazen Shrif, Zaid A. Al-Sadoon, Samer Barakat, et al.
Civil Engineering Journal (2024) Vol. 10, Iss. 5, pp. 1370-1385
Open Access | Times Cited: 11
Machine learning-based shear strength prediction of exterior RC beam-column joints
Gamze Doğan
Multiscale and Multidisciplinary Modeling Experiments and Design (2024) Vol. 7, Iss. 3, pp. 2319-2341
Closed Access | Times Cited: 4
Plastic Hinge Length for Flanged Reinforced Concrete Shear Walls with Asymmetric Sections
Wenzhe Cai, Bin Wang, Qingxuan Shi, et al.
Journal of Earthquake Engineering (2024) Vol. 28, Iss. 10, pp. 2883-2908
Closed Access | Times Cited: 1
Interpretable Machine Learning for Predicting Heavy Metal Removal Efficiency in Electrokinetic Soil Remediation
Mohammad Sadegh Barkhordari, Nana Zhou, Kechao Li, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 6, pp. 114330-114330
Closed Access | Times Cited: 1
The Temperature-Induced Deflection Data Missing Recovery of a Cable-Stayed Bridge Based on Bayesian Robust Tensor Learning
Shouwang Sun, Zhiwen Wang, Zili Xia, et al.
Symmetry (2023) Vol. 15, Iss. 6, pp. 1234-1234
Open Access | Times Cited: 3
A Bearing Fault Diagnosis Method Based on a Residual Network and a Gated Recurrent Unit under Time-Varying Working Conditions
Zheng Wang, Xiaoyang Xu, Yu Zhang, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6730-6730
Open Access | Times Cited: 2
Enhancing Cold Joint Shear Strength Prediction in Concrete Structures: Novel Approach with Ensemble Spiking Neural Networks
Mohammad Sadegh Barkhordari
Journal of structural design and construction practice. (2024) Vol. 30, Iss. 1
Closed Access
Theoretical reevaluation and machine learning analysis on the concrete confinement effect of square reinforced concrete columns
Bing‐Lin Lai, Xiangming Zhou, Xiaofeng Zheng, et al.
Structural Concrete (2024)
Closed Access
Plastic hinge length of RC shear Walls: Practical approximation via Machine learning and probabilistic assessment
Abouzar Jafari, Masoomeh Mirrashid, Ryan Hoult, et al.
Engineering Failure Analysis (2024), pp. 109179-109179
Closed Access
Data-Driven Modeling of Lateral and Cracking Loads in Confined Masonry Walls Using Machine Learning
Hamza Mahamad Bile, Kadir Güler
Buildings (2024) Vol. 14, Iss. 12, pp. 4016-4016
Open Access
Data-driven machine learning forecasting and design models for the tensile stress-strain response of UHPC
Mohammad Sadegh Barkhordari, Hussein Abad Gazi Jaaz, Akram Jawdhari
Structures (2024) Vol. 71, pp. 107965-107965
Closed Access
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