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-aided improvement of mechanics-based code-conforming shear capacity equation for RC elements with stirrups
Giuseppe Quaranta, Dario De Domenico, Giorgio Monti
Engineering Structures (2022) Vol. 267, pp. 114665-114665
Open Access | Times Cited: 21

Showing 21 citing articles:

Symbolic machine learning improved MCFT model for punching shear resistance of FRP-reinforced concrete slabs
Shixue Liang, Yuanxie Shen, Xiangling Gao, et al.
Journal of Building Engineering (2023) Vol. 69, pp. 106257-106257
Closed Access | Times Cited: 24

Corrosion effects on the capacity and ductility of concrete half-joint bridges
Marco Martino Rosso, Rebecca Asso, Angelo Aloisio, et al.
Construction and Building Materials (2022) Vol. 360, pp. 129555-129555
Closed Access | Times Cited: 30

Study on the application of discrepancy-guided symbolic regression algorithm in analyzing the impact resistance of UHP-SFRC target against high velocity projectile impact
Delei Zou, Dilyar Thoti, Zhenmin Bao
International Journal of Impact Engineering (2025), pp. 105276-105276
Closed Access

Failure mechanism and static bearing capacity on circular RC members under asymmetrical lateral impact train collision
Khalil AL-Bukhaiti, Yanhui Liu, Shichun Zhao, et al.
Structures (2023) Vol. 48, pp. 1817-1832
Closed Access | Times Cited: 12

Machine Learning Models for Predicting Shear Strength and Identifying Failure Modes of Rectangular RC Columns
Van-Tien Phan, Viet‐Linh Tran, Van-Quang Nguyen, et al.
Buildings (2022) Vol. 12, Iss. 10, pp. 1493-1493
Open Access | Times Cited: 20

Experimental study on the shear behavior of RC beams strengthened with cementitious grout
Gang Peng, Xiaopeng Hu, Ditao Niu, et al.
Structures (2023) Vol. 50, pp. 1403-1415
Closed Access | Times Cited: 9

Machine Learning-Based Prediction of the Compressive Strength of Brazilian Concretes: A Dual-Dataset Study
Vitor Pereira Silva, Ruan de Alencar Carvalho, João Henrique da Silva Rêgo, et al.
Materials (2023) Vol. 16, Iss. 14, pp. 4977-4977
Open Access | Times Cited: 7

Predicting Compressive Strength and Hydration Products of Calcium Aluminate Cement Using Data-Driven Approach
Sai Akshay Ponduru, Taihao Han, Jie Huang, et al.
Materials (2023) Vol. 16, Iss. 2, pp. 654-654
Open Access | Times Cited: 5

Machine-learning-enhanced variable-angle truss model to predict the shear capacity of RC elements with transverse reinforcement
Dario De Domenico, Giuseppe Quaranta, Qingcong Zeng, et al.
Procedia Structural Integrity (2023) Vol. 44, pp. 1688-1695
Open Access | Times Cited: 4

Deep-Learning-Based Sound Classification Model for Concrete Pouring Work Monitoring at a Construction Site
Inchie Kim, Yije Kim, Sangyoon Chin
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4789-4789
Open Access | Times Cited: 4

Prediction of the Yield Strength of RC Columns Using a PSO-LSSVM Model
Bochen Wang, Weiming Gong, Yang Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10911-10911
Open Access | Times Cited: 5

Shear Capacity of RC Elements With Transverse Reinforcement Through a Variable-Angle Truss Model With Machine-Learning-Calibrated Coefficients
Dario De Domenico, Giuseppe Quaranta, Qingcong Zeng, et al.
Advances in civil and industrial engineering book series (2023), pp. 163-180
Closed Access | Times Cited: 2

Hybrid mechanical and data-driven probabilistic model for shear strength of RC beam-column joints
Zecheng Yu, Weiwei Xie, Bo Yu
Probabilistic Engineering Mechanics (2023) Vol. 74, pp. 103524-103524
Closed Access | Times Cited: 2

Variable-Angle Spatial Truss Model for Analytical Biaxial Shear Capacity Prediction of Reinforced Concrete Members with Transverse Reinforcement
Qingcong Zeng, Giuseppe Quaranta, Dario De Domenico, et al.
Journal of Structural Engineering (2024) Vol. 151, Iss. 1
Closed Access

Experimental investigation on the cyclic behaviour of full-scale reinforced concrete columns under biaxial shear loading
Qingcong Zeng, Dario De Domenico, Giuseppe Quaranta, et al.
Structures (2024) Vol. 70, pp. 107747-107747
Open Access

Analytical Models for Shear-bearing Capacity of Hollow Core Beams Strengthened with HPC and Shear Steel Rebars
Wenping Du, Guanjun Zhang, Caiqian Yang, et al.
KSCE Journal of Civil Engineering (2024) Vol. 28, Iss. 11, pp. 5077-5090
Closed Access

Machine-learning-aided Shear-capacity Solution of RC Girders with Web Stirrups Based on the Modified Compression Field Theory
Lin Ma, Yuping Zhang, Zengwei Guo, et al.
KSCE Journal of Civil Engineering (2024) Vol. 28, Iss. 11, pp. 5116-5136
Closed Access

Investigating the Performance of Data-Driven Ensemble Machine Learning Models in Preliminary Designing Multi-Stage Friction Pendulum Bearings
Ahed Habib, Umut Yıldırım
Structural Engineering International (2024), pp. 1-17
Closed Access

Comparative Analysis of Reinforced Concrete Beam Behaviour: Conventional Model vs. Artificial Neural Network Predictions
Muhammad Mahtab Ahmad, Ayub Elahi, Salim Barbhuiya
Materials (2023) Vol. 16, Iss. 24, pp. 7642-7642
Open Access | Times Cited: 1

Artificial Intelligence Algorithm-Based Arrangement Optimization of Structural Isolation Bearings
Zhongliang Zou, Qiwu Yan
Applied Sciences (2022) Vol. 12, Iss. 24, pp. 12629-12629
Open Access | Times Cited: 2

A Study on the Distribution of Shear Forces Between Resisting Mechanisms in an RC Element Without Stirrups
Alejándro Pérez Caldentey
Hormigón y Acero (2023) Vol. 75, Iss. 302-303, pp. 109-118
Open Access

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