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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:

Environmental and operational conditions effects on Lamb wave based structural health monitoring systems: A review
Rahim Gorgin, Ying Luo, Zhanjun Wu
Ultrasonics (2020) Vol. 105, pp. 106114-106114
Closed Access | Times Cited: 211

Showing 1-25 of 211 citing articles:

Shear horizontal wave transducers for structural health monitoring and nondestructive testing: A review
Hongchen Miao, Faxin Li
Ultrasonics (2021) Vol. 114, pp. 106355-106355
Closed Access | Times Cited: 169
Structural Health Monitoring in Composite Structures: A Comprehensive Review
Sahar Hassani, Mohsen Mousavi, Amir H. Gandomi
Sensors (2021) Vol. 22, Iss. 1, pp. 153-153
Open Access | Times Cited: 126
A review on guided-ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques
Zhengyan Yang, Hongjuan Yang, Tong Tian, et al.
Ultrasonics (2023) Vol. 133, pp. 107014-107014
Closed Access | Times Cited: 104
Ultrasonic detection methods for mechanical characterization and damage diagnosis of advanced composite materials: A review
Hongjuan Yang, Lei Yang, Zhengyan Yang, et al.
Composite Structures (2023) Vol. 324, pp. 117554-117554
Closed Access | Times Cited: 57
A systematic review of data fusion techniques for optimized structural health monitoring
Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, et al.
Information Fusion (2023) Vol. 103, pp. 102136-102136
Open Access | Times Cited: 53
Structural Health Monitoring Damage Detection Systems for Aerospace
Markus G. R. Sause, Elena Jasiūnienė
Springer aerospace technology (2021)
Open Access | Times Cited: 57
The Need for Multi-Sensor Data Fusion in Structural Health Monitoring of Composite Aircraft Structures
Agnes Broer, Rinze Benedictus, Dimitrios Zarouchas
Aerospace (2022) Vol. 9, Iss. 4, pp. 183-183
Open Access | Times Cited: 47
Intelligent structural health monitoring of composite structures using machine learning, deep learning, and transfer learning: a review
Muhammad Muzammil Azad, Sungjun Kim, Yu Bin Cheon, et al.
Advanced Composite Materials (2023) Vol. 33, Iss. 2, pp. 162-188
Closed Access | Times Cited: 35
Guided waves in long range nondestructive testing and structural health monitoring: Principles, history of applications and prospects
P. Cawley
NDT & E International (2023) Vol. 142, pp. 103026-103026
Closed Access | Times Cited: 32
Damage detection with ultrasonic guided waves using machine learning and aggregated baselines
Vivek Nerlikar, Olivier Mesnil, Roberto Miorelli, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 443-462
Open Access | Times Cited: 25
Damage features for structural health monitoring based on ultrasonic Lamb waves: Evaluation criteria, survey of recent work and outlook
Houyu Lu, B. S. Subhash Chandran, Wen Wu, et al.
Measurement (2024) Vol. 232, pp. 114666-114666
Closed Access | Times Cited: 12
A novel machine learning model to design historical-independent health indicators for composite structures
Morteza Moradi, Ferda Cansu Gül, Dimitrios Zarouchas
Composites Part B Engineering (2024) Vol. 275, pp. 111328-111328
Open Access | Times Cited: 10
Guided wave-driven machine learning for damage classification with limited dataset in aluminum panel
Nima Rezazadeh, Donato Perfetto, Antonio Polverino, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 10
Damage identification using wave damage interaction coefficients predicted by deep neural networks
Christoph Humer, Simon Höll, Christoph Kralovec, et al.
Ultrasonics (2022) Vol. 124, pp. 106743-106743
Open Access | Times Cited: 28
A review of acoustic Luneburg lens: Physics and applications
Liuxian Zhao, Chuan‐Xing Bi, Haihong Huang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110468-110468
Closed Access | Times Cited: 16
Damage localization in composite structures based on Lamb wave and modular artificial neural network
Yumeng Gao, Lingyu Sun, Ruijie Song, et al.
Sensors and Actuators A Physical (2024) Vol. 377, pp. 115644-115644
Closed Access | Times Cited: 7
Optical Phenomena in Mesoscale Dielectric Particles
Oleg V. Minin, Igor V. Minin
Photonics (2021) Vol. 8, Iss. 12, pp. 591-591
Open Access | Times Cited: 38
Cure monitoring and damage identification of CFRP using embedded piezoelectric sensors network
Xiao Liu, Jun Li, Jianjian Zhu, et al.
Ultrasonics (2021) Vol. 115, pp. 106470-106470
Closed Access | Times Cited: 33
Damage Detection in Flat Panels by Guided Waves Based Artificial Neural Network Trained through Finite Element Method
Donato Perfetto, Alessandro De Luca, Marco Perfetto, et al.
Materials (2021) Vol. 14, Iss. 24, pp. 7602-7602
Open Access | Times Cited: 33
Structural health monitoring of carbon fiber reinforced polymer composite laminates for offshore wind turbine blades based on dual maximum correlation coefficient method
Kai Luo, Liang Chen, Wei Liang
Renewable Energy (2022) Vol. 201, pp. 1163-1175
Closed Access | Times Cited: 27
Temperature variation compensated damage classification and localisation in ultrasonic guided wave SHM using self-learnt features and Gaussian mixture models
Shruti Sawant, Sheetal Patil, Jeslin Thalapil, et al.
Smart Materials and Structures (2022) Vol. 31, Iss. 5, pp. 055008-055008
Open Access | Times Cited: 26
A transfer learning approach for damage diagnosis in composite laminated plate using Lamb waves
Akshay Rai, Mira Mitra
Smart Materials and Structures (2022) Vol. 31, Iss. 6, pp. 065002-065002
Closed Access | Times Cited: 26
Evaluation of machine learning techniques for structural health monitoring using ultrasonic guided waves under varying temperature conditions
Abderrahim Abbassi, Niklas Römgens, Franz Ferdinand Tritschel, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 2, pp. 1308-1325
Closed Access | Times Cited: 26
Temperature compensation to guided wave-based monitoring of bolt loosening using an attention-based multi-task network
Fei Du, Shiwei Wu, Sisi Xing, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 3, pp. 1893-1910
Open Access | Times Cited: 26
Experiments and modelling of ultrasonic waves in composite plates under varying temperature
Donato Perfetto, Zahra Sharif Khodaei, Alessandro De Luca, et al.
Ultrasonics (2022) Vol. 126, pp. 106820-106820
Closed Access | Times Cited: 26
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