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:

Structural damage identification based on fast S-transform and convolutional neural networks
Behzad Ghahremani, Maryam Bitaraf, Amir K. Ghorbani‐Tanha, et al.
Structures (2020) Vol. 29, pp. 1199-1209
Closed Access | Times Cited: 23

Showing 23 citing articles:

Structural damage severity classification from time-frequency acceleration data using convolutional neural networks
Maziar Jamshidi, Mamdouh El‐Badry
Structures (2023) Vol. 54, pp. 236-253
Closed Access | Times Cited: 23

An ultrafast and robust structural damage identification framework enabled by an optimized extreme learning machine
Xinwei Wang, Yinghao Zhao, Zhihao Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111509-111509
Closed Access | Times Cited: 9

Advances in artificial intelligence for structural health monitoring: A comprehensive review
Billie F. Spencer, Sung‐Han Sim, Robin E. Kim, et al.
KSCE Journal of Civil Engineering (2025) Vol. 29, Iss. 3, pp. 100203-100203
Open Access | Times Cited: 1

Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
Jing Jia, Wenjie Ye
Remote Sensing (2023) Vol. 15, Iss. 16, pp. 4098-4098
Open Access | Times Cited: 15

The State-of-the-Art on Time-Frequency Signal Processing Techniques for High-Resolution Representation of Nonlinear Systems in Engineering
Chunwei Zhang, Asma A. Mousavi, Sami F. Masri, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 5

Bridge Health Monitoring Using Strain Data and High-Fidelity Finite Element Analysis
Behzad Ghahremani, Alireza Enshaeian, Piervincenzo Rizzo
Sensors (2022) Vol. 22, Iss. 14, pp. 5172-5172
Open Access | Times Cited: 21

Damage identification method of arch bridges using MobileViT and transfer learning
Jingzhou Xin, Liming Jiang, Qin Tang, et al.
Journal of Civil Structural Health Monitoring (2025)
Closed Access

A new damage detection method of single-layer latticed shells based on combined modal strain energy index
Yujian Zhang, Yongfeng Luo, Xiaonong Guo, et al.
Mechanical Systems and Signal Processing (2022) Vol. 172, pp. 109011-109011
Closed Access | Times Cited: 18

Identification of Underwater Structural Bridge Damage and BIM-Based Bridge Damage Management
Xiaofei Li, Qinghang Meng, Mengpu Wei, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1348-1348
Open Access | Times Cited: 10

Damage Detection and Localization on Real Structures Subjected to Strong Motion Earthquakes Using the Curvature Evolution Method: The Navelli (Italy) Case Study
Rocco Ditommaso, Chiara Iacovino, Gianluca Auletta, et al.
Applied Sciences (2021) Vol. 11, Iss. 14, pp. 6496-6496
Open Access | Times Cited: 23

Structural health monitoring of harbor caissons using support vector machine and principal component analysis
Anahita Bolourani, Maryam Bitaraf, Ala Nekouvaght Tak
Structures (2021) Vol. 33, pp. 4501-4513
Closed Access | Times Cited: 21

Vibration-based structural damage detection strategy using FRFs and machine learning classifiers
Dianelys Vega Ruiz, Cássio Bragança, Bernardo Lopes Poncetti, et al.
Structures (2023) Vol. 59, pp. 105753-105753
Closed Access | Times Cited: 8

A comparative machine learning approach for entropy-based damage detection using output-only correlation signal
Pouria Hamidian, Yasaman J. Soofi, Maryam Bitaraf
Journal of Civil Structural Health Monitoring (2022) Vol. 12, Iss. 5, pp. 975-990
Closed Access | Times Cited: 13

An underwater crack detection method based on improved YOLOv8
Xiaofei Li, Langxing Xu, Mengpu Wei, et al.
Ocean Engineering (2024) Vol. 313, pp. 119508-119508
Closed Access | Times Cited: 2

Output-only entropy-based damage detection using transmissibility function
Yasaman J. Soofi, Maryam Bitaraf
Journal of Civil Structural Health Monitoring (2021) Vol. 12, Iss. 1, pp. 191-205
Closed Access | Times Cited: 11

Novel Deep Learning-Based Method for Seismic-Induced Damage Detection
A. Doaa M. Atia, Mohammadreza Vafaei, Sophia C. Alih, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 1

Convolutional Neural Network-Based Rapid Post-Earthquake Structural Damage Detection: Case Study
Edisson Alberto Moscoso Alcantara, Taiki Saito
Sensors (2022) Vol. 22, Iss. 17, pp. 6426-6426
Open Access | Times Cited: 4

A summary evaluation of output-only damage-sensitive features for structural health monitoring of offshore platforms subjected to ambient loads
Rostam Rahgozar, Maryam Bitaraf
Ocean Engineering (2022) Vol. 266, pp. 112892-112892
Closed Access | Times Cited: 4

An Underwater Crack Detection Method Based on Improved Yolov8
Xiaofei Li, Langxing Xu, Mengpu Wei, et al.
(2024)
Closed Access

Application of Generalized S-Transform in the Measurement of Dynamic Elastic Modulus
Lei Wang, Yang Gao, Hongguang Liu, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 5995-5995
Open Access

Diagnostics of Concrete Box Beam Bridges Using Wireless Sensors and Finite Element Analysis
Piervincenzo Rizzo, Alireza Enshaeian, Behzad Ghahremani
Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems (2023) Vol. 7, Iss. 1
Closed Access | Times Cited: 1

On the application of peridynamics to crack detection in membranes using an upgraded metaheuristic
Ehsan Afshari, Farshid Mossaiby, Taha Bakhshpoori
Meccanica (2022) Vol. 57, Iss. 10, pp. 2517-2531
Closed Access | Times Cited: 1

Non-destructive sensing data-driven hysteretic behavior prediction of CLT joints based on recurrent neural networks
Yewei Ding, Haibei Xiong, Lin Chen, et al.
Structures (2023) Vol. 56, pp. 104974-104974
Closed Access

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