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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:

In-flight and wireless damage detection in a UAV composite wing using fiber optic sensors and strain field pattern recognition
Joham Alvarez-Montoya, Alejandro Carvajal-Castrillón, Julián Sierra-Pérez
Mechanical Systems and Signal Processing (2019) Vol. 136, pp. 106526-106526
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Strategies towards a more sustainable aviation: A systematic review
Frederico Afonso, Martin Sohst, Carlos Miguel Afonso Diogo, et al.
Progress in Aerospace Sciences (2023) Vol. 137, pp. 100878-100878
Closed Access | Times Cited: 100
Acoustic emission data based deep learning approach for classification and detection of damage-sources in a composite panel
Shirsendu Sikdar, Dianzi Liu, Abhishek Kundu
Composites Part B Engineering (2021) Vol. 228, pp. 109450-109450
Open Access | Times Cited: 96
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: 61
Structure health monitoring of a composite wing based on flight load and strain data using deep learning method
Minxiao Lin, Shijun Guo, Shun He, et al.
Composite Structures (2022) Vol. 286, pp. 115305-115305
Open Access | Times Cited: 44
Pattern Recognition and Deep Learning Technologies, Enablers of Industry 4.0, and Their Role in Engineering Research
Joel Serey, Miguel Alfaro, Guillermo Fuertes, et al.
Symmetry (2023) Vol. 15, Iss. 2, pp. 535-535
Open Access | Times Cited: 31
A fuzzy-set-based joint distribution adaptation method for regression and its application to online damage quantification for structural digital twin
Xuan Zhou, Claudio Sbarufatti, Marco Giglio, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110164-110164
Open Access | Times Cited: 23
Machine Learning Applications in Optical Fiber Sensing: A Research Agenda
Erick Reyes-Vera, Alejandro Valencia-Arías, Vanessa García Pineda, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2200-2200
Open Access | Times Cited: 15
Toward Intelligent Monitoring in IoT: AI Applications for Real-Time Analysis and Prediction
William Villegas-Ch, Joselin García-Ortiz, Santiago Sánchez-Viteri
IEEE Access (2024) Vol. 12, pp. 40368-40386
Open Access | Times Cited: 12
FW-UAV fault diagnosis based on knowledge complementary network under small sample
Yizong Zhang, Shaobo Li, Ansi Zhang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 215, pp. 111418-111418
Closed Access | Times Cited: 8
A Review of Wearable Optical Fiber Sensors for Rehabilitation Monitoring
Xiangmeng Li, Yongzhen Li, Huifen Wei, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3602-3602
Open Access | Times Cited: 8
Smart Composite Structures with Embedded Sensors for Load and Damage Monitoring – A Review
Rims Janeliukštis, Deniss Mironovs
Mechanics of Composite Materials (2021) Vol. 57, Iss. 2, pp. 131-152
Closed Access | Times Cited: 48
Deep learning for automatic assessment of breathing-debonds in stiffened composite panels using non-linear guided wave signals
Shirsendu Sikdar, Wiesław Ostachowicz, Abhishek Kundu
Composite Structures (2023) Vol. 312, pp. 116876-116876
Open Access | Times Cited: 19
Damage Detection in Composites By Artificial Neural Networks Trained By Using in Situ Distributed Strains
America Califano, Neha Chandarana, Luigi Grassia, et al.
Applied Composite Materials (2020) Vol. 27, Iss. 5, pp. 657-671
Open Access | Times Cited: 42
Artificial intelligence in real-time diagnostics and prognostics of composite materials and its uncertainties—a review
Muthu Ram Prabhu Elenchezhian, Vamsee Vadlamudi, Rassel Raihan, et al.
Smart Materials and Structures (2021) Vol. 30, Iss. 8, pp. 083001-083001
Closed Access | Times Cited: 37
Vibration control of composite laminate via NiTiNOL-steel wire ropes: Modeling, analysis, and experiment
Yewei Zhang, Zhijian Wang, Meng Cao, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110775-110775
Closed Access | Times Cited: 14
Vibration control of interconnected composite beams: Dynamical analysis and experimental validations
Jian Zang, Hao-Ming Ren, Xu-Yuan Song, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111008-111008
Closed Access | Times Cited: 13
A scientometric analysis of drone-based structural health monitoring and new technologies
Tahreer M. Fayyad, Susan Taylor, Kun Feng, et al.
Advances in Structural Engineering (2024)
Open Access | Times Cited: 5
A deep‐learning approach for health monitoring of a steel frame structure with bolted connections
Joy Pal, Shirsendu Sikdar, Sauvik Banerjee
Structural Control and Health Monitoring (2021) Vol. 29, Iss. 2
Closed Access | Times Cited: 32
Structural Health Monitoring of Composite Materials
Tarunpreet Singh, Shankar Sehgal
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 4, pp. 1997-2017
Closed Access | Times Cited: 30
On the effectiveness of dimensionality reduction for unsupervised structural health monitoring anomaly detection
Mohammad Hesam Soleimani‐Babakamali, Roksana Soleimani-Babakamali, Rodrigo Sarlo, et al.
Mechanical Systems and Signal Processing (2022) Vol. 187, pp. 109910-109910
Open Access | Times Cited: 20
Autonomous data-driven delamination detection in laminated composites with limited and imbalanced data
Muhammad Muzammil Azad, S. Kim, Heung Soo Kim
Alexandria Engineering Journal (2024) Vol. 107, pp. 770-785
Open Access | Times Cited: 4
Structural Health Monitoring for Launch Vehicle Reusability Using Fiber Bragg Grating Written Optical Fiber
Thomas Colicci, Andrew Noonan, A. V. Anilkumar
AIAA SCITECH 2022 Forum (2025)
Closed Access
A novel damage detection method for carbon fibre reinforced polymer structures based on distributed strain measurements with fibre optical sensor
Yingwu Li, Zahra Sharif Khodaei
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 110954-110954
Open Access | Times Cited: 10
Vibration data‐driven machine learning architecture for structural health monitoring of steel frame structures
Maloth Naresh, Shirsendu Sikdar, Joy Pal
Strain (2023) Vol. 59, Iss. 5
Closed Access | Times Cited: 9
Self‐Powered Digital Angle Sensor Based on Triboelectric Signal for Variable Structure of Aircraft
Hengrui Sheng, Leo N.Y. Cao, Chengyu Li, et al.
Advanced Materials Technologies (2024) Vol. 9, Iss. 14
Closed Access | Times Cited: 3
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