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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 for structural health monitoring: challenges and opportunities
Fuh‐Gwo Yuan, Sakib Ashraf Zargar, Qiuyi Chen, et al.
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018 (2020)
Open Access | Times Cited: 144

Showing 1-25 of 144 citing articles:

Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions
Mohammad Mustafa Taye
Computers (2023) Vol. 12, Iss. 5, pp. 91-91
Open Access | Times Cited: 444
Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Arman Malekloo, Ekin Özer, Mohammad AlHamaydeh, et al.
Structural Health Monitoring (2021) Vol. 21, Iss. 4, pp. 1906-1955
Open Access | Times Cited: 322
Structural health monitoring using wireless smart sensor network – An overview
A. Sofi, J. Jane Regita, Bhagyesh Rane, et al.
Mechanical Systems and Signal Processing (2021) Vol. 163, pp. 108113-108113
Closed Access | Times Cited: 198
A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring
Sahar Hassani, Ulrike Dackermann
Sensors (2023) Vol. 23, Iss. 4, pp. 2204-2204
Open Access | Times Cited: 168
State-of-the-art review on advancements of data mining in structural health monitoring
Meisam Gordan, Saeed-Reza Sabbagh-Yazdi, Zubaidah Ismail, et al.
Measurement (2022) Vol. 193, pp. 110939-110939
Closed Access | Times Cited: 127
Lamb wave-based damage detection of composite structures using deep convolutional neural network and continuous wavelet transform
Jun Wu, Xuebing Xu, Cheng Liu, et al.
Composite Structures (2021) Vol. 276, pp. 114590-114590
Open Access | Times Cited: 107
Deep learning-based structural health monitoring
Young‐Jin Cha, Rahmat Ali, J. S. Lewis, et al.
Automation in Construction (2024) Vol. 161, pp. 105328-105328
Open Access | Times Cited: 76
Artificial-intelligence-led revolution of construction materials: From molecules to Industry 4.0
Xing Quan Wang, Pengguang Chen, Cheuk Lun Chow, et al.
Matter (2023) Vol. 6, Iss. 6, pp. 1831-1859
Open Access | Times Cited: 47
Smart Aggregate‐Based Concrete Stress Monitoring via 1D CNN Deep Learning of Raw Impedance Signals
Quoc-Bao Ta, Quang‐Quang Pham, Ngoc-Lan Pham, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 15
A hybrid PSO and Grey Wolf Optimization algorithm for static and dynamic crack identification
Faisal Al Thobiani, Samir Khatir, Brahim Benaissa, et al.
Theoretical and Applied Fracture Mechanics (2021) Vol. 118, pp. 103213-103213
Closed Access | Times Cited: 86
Practical Implementation of Structural Health Monitoring in Multi-Story Buildings
Arvindan Sivasuriyan, D. S. Vijayan, Wojciech Górski, et al.
Buildings (2021) Vol. 11, Iss. 6, pp. 263-263
Open Access | Times Cited: 77
Ultrasonic Guided-Waves Sensors and Integrated Structural Health Monitoring Systems for Impact Detection and Localization: A Review
Lorenzo Capineri, Andrea Bulletti
Sensors (2021) Vol. 21, Iss. 9, pp. 2929-2929
Open Access | Times Cited: 63
Machine Learning Based Quantitative Damage Monitoring of Composite Structure
Xinlin Qing, Yunlai Liao, Yihan Wang, et al.
International Journal of Smart and Nano Materials (2022) Vol. 13, Iss. 2, pp. 167-202
Open Access | Times Cited: 60
Review of Machine-Learning Techniques Applied to Structural Health Monitoring Systems for Building and Bridge Structures
Alain Gomez-Cabrera, Ponciano Jorge Escamilla-Ambrosio
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10754-10754
Open Access | Times Cited: 55
Deep learning-based autonomous damage-sensitive feature extraction for impedance-based prestress monitoring
Thanh‐Truong Nguyen, Thi Tuong Vy Phan, Duc-Duy Ho, et al.
Engineering Structures (2022) Vol. 259, pp. 114172-114172
Closed Access | Times Cited: 51
Post‐disaster damage classification based on deep multi‐view image fusion
Asim B. Khajwal, Chih‐Shen Cheng, Arash Noshadravan
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 4, pp. 528-544
Closed Access | Times Cited: 45
Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems
Taniya Kapoor, Hongrui Wang, Alfredo Núñez, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 5, pp. 5981-5995
Open Access | Times Cited: 35
A Machine Learning-Based Surrogate Finite Element Model for Estimating Dynamic Response of Mechanical Systems
Ali Hashemi, Jinwoo Jang, Javad Beheshti
IEEE Access (2023) Vol. 11, pp. 54509-54525
Open Access | Times Cited: 24
Structural health monitoring of inland navigation structures and ports: a review on developments and challenges
Prateek Negi, Rolands Kromanis, Andries G. Dorée, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 605-645
Open Access | Times Cited: 22
Development of the Senseiver for efficient field reconstruction from sparse observations
Javier E. Santos, Zachary Fox, Arvind Mohan, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 11, pp. 1317-1325
Open Access | Times Cited: 22
Understanding Physics-Informed Neural Networks: Techniques, Applications, Trends, and Challenges
Amer Farea, Olli Yli‐Harja, Frank Emmert‐Streib
AI (2024) Vol. 5, Iss. 3, pp. 1534-1557
Open Access | Times Cited: 12
Hybrid Integration of Wearable Devices for Physiological Monitoring
Yu Zhang, Xin Ting Zheng, Xiangyu Zhang, et al.
Chemical Reviews (2024) Vol. 124, Iss. 18, pp. 10386-10434
Closed Access | Times Cited: 10
NDE 4.0 in Aerospace
Elizabeth D. Gregory, Peter D. Juarez, Cara A.C. Leckey
(2025), pp. 1-43
Closed Access | Times Cited: 1
Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model
Hai Chien Pham, Quoc-Bao Ta, Jeong‐Tae Kim, et al.
Sensors (2020) Vol. 20, Iss. 12, pp. 3382-3382
Open Access | Times Cited: 61
4D printing: Perspectives for the production of sustainable plastics for agriculture
Chrysanthos Maraveas, Ilker S. Bayer, Thomas Bartzanas
Biotechnology Advances (2021) Vol. 54, pp. 107785-107785
Closed Access | Times Cited: 49
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