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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:

Methodologies for predicting natural frequency variation of a suspension bridge
Irwanda Laory, Thanh Trinh, Ian F. C. Smith, et al.
Engineering Structures (2014) Vol. 80, pp. 211-221
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Emerging artificial intelligence methods in structural engineering
Hadi Salehi, Rigoberto Burgueño
Engineering Structures (2018) Vol. 171, pp. 170-189
Open Access | Times Cited: 822
Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection
Limin Sun, Zhiqiang Shang, Ye Xia, et al.
Journal of Structural Engineering (2020) Vol. 146, Iss. 5
Closed Access | Times Cited: 546
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: 339
A review of machine learning methods applied to structural dynamics and vibroacoustic
Barbara Zaparoli Cunha, Christophe Droz, Abdelmalek Zine, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110535-110535
Open Access | Times Cited: 78
Eliminating environmental and operational effects on structural modal frequency: A comprehensive review
Zhen Wang, Dong‐Hui Yang, Ting‐Hua Yi, et al.
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 11
Open Access | Times Cited: 68
A Feature Extraction & Selection Benchmark for Structural Health Monitoring
Tadhg Buckley, Bidisha Ghosh, Vikram Pakrashi
Structural Health Monitoring (2022) Vol. 22, Iss. 3, pp. 2082-2127
Closed Access | Times Cited: 48
Unsupervised data normalization for continuous dynamic monitoring by an innovative hybrid feature weighting-selection algorithm and natural nearest neighbor searching
Hassan Sarmadi, Alireza Entezami, Filipe Magalhães
Structural Health Monitoring (2023) Vol. 22, Iss. 6, pp. 4005-4026
Closed Access | Times Cited: 30
Investigation of Temperature Effects into Long-Span Bridges via Hybrid Sensing and Supervised Regression Models
Bahareh Behkamal, Alireza Entezami, Carlo De Michele, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3503-3503
Open Access | Times Cited: 24
Design and Implementation of a New System for Large Bridge Monitoring—GeoSHM
Xiaolin Meng, Dinh Tung Nguyen, Yilin Xie, et al.
Sensors (2018) Vol. 18, Iss. 3, pp. 775-775
Open Access | Times Cited: 73
Data-Driven Monitoring and Predictive Maintenance for Engineering Structures: Technologies, Implementation Challenges, and Future Directions
Qianyi Chen, Jiannong Cao, Songye Zhu
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 16, pp. 14527-14551
Closed Access | Times Cited: 18
Operational Modal Analysis on Bridges: A Comprehensive Review
Hamed Hasani, Francesco Freddi
Infrastructures (2023) Vol. 8, Iss. 12, pp. 172-172
Open Access | Times Cited: 18
Elimination of Thermal Effects from Limited Structural Displacements Based on Remote Sensing by Machine Learning Techniques
Bahareh Behkamal, Alireza Entezami, Carlo De Michele, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3095-3095
Open Access | Times Cited: 17
Tracking long-term modal behaviour of a footbridge and identifying potential SHM approaches
Wai Kei Ao, David Hester, Connor O’Higgins, et al.
Journal of Civil Structural Health Monitoring (2024) Vol. 14, Iss. 5, pp. 1311-1337
Open Access | Times Cited: 7
Vibration-Based Damage Detection of Bridges under Varying Temperature Effects Using Time-Series Analysis and Artificial Neural Networks
Branislav Kostić, Mustafa Gül
Journal of Bridge Engineering (2017) Vol. 22, Iss. 10
Closed Access | Times Cited: 61
Time-frequency techniques for modal parameters identification of civil structures from acquired dynamic signals
Carlos A. Perez-Ramirez, Juan P. Amézquita-Sánchez, Hojjat Adeli, et al.
Journal of Vibroengineering (2016) Vol. 18, Iss. 5, pp. 3164-3185
Open Access | Times Cited: 57
Temperature Prediction of Flat Steel Box Girders of Long-Span Bridges Utilizing In Situ Environmental Parameters and Machine Learning
Zhi-wei Wang, Wen-ming Zhang, Yufeng Zhang, et al.
Journal of Bridge Engineering (2022) Vol. 27, Iss. 3
Closed Access | Times Cited: 27
A new regime-switching cointegration method for structural health monitoring under changing environmental and operational conditions
J. S. Huang, Dongsheng Li, Hong‐Nan Li
Measurement (2023) Vol. 212, pp. 112682-112682
Closed Access | Times Cited: 14
Prediction of long-term dynamic responses of a heritage masonry building under thermal effects by automated kernel-based regression modeling
Hassan Sarmadi, Bahareh Behkamal, Alireza Entezami
Elsevier eBooks (2024), pp. 257-283
Closed Access | Times Cited: 5
Monitoring rock reinforcement works with ambient vibrations: La Bourne case study (Vercors, France)
Pierre Bottelin, Laurent Baillet, Éric Larose, et al.
Engineering Geology (2017) Vol. 226, pp. 136-145
Closed Access | Times Cited: 46
Bayesian structural identification of a long suspension bridge considering temperature and traffic load effects
André Jesus, P.E. Brommer, Robert Westgate, et al.
Structural Health Monitoring (2018) Vol. 18, Iss. 4, pp. 1310-1323
Open Access | Times Cited: 41
Vision and Support Vector Machine–Based Train Classification Using Weigh-in-Motion Data
Zhen Sun, João Santos, Elsa Caetano
Journal of Bridge Engineering (2022) Vol. 27, Iss. 6
Closed Access | Times Cited: 22
Effectiveness Assessment of TMDs in Bridges under Strong Winds Incorporating Machine-Learning Techniques
Zhen Sun, De‐Cheng Feng, Sujith Mangalathu, et al.
Journal of Performance of Constructed Facilities (2022) Vol. 36, Iss. 5
Closed Access | Times Cited: 21
Minimal Information Data-Modelling (MID) and an Easily Implementable Low-Cost SHM System for Use on a Short-Span Bridge
Connor O’Higgins, David Hester, Patrick McGetrick, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6328-6328
Open Access | Times Cited: 12
Static and dynamic behaviour of a hybrid PFRP-aluminium space truss girder: Experimental and numerical study
Ruijie Zhu, Feng Li, Fei Shao, et al.
Composite Structures (2020) Vol. 243, pp. 112226-112226
Closed Access | Times Cited: 28
A kernel canonical correlation analysis approach for removing environmental and operational variations for structural damage identification
Jie-zhong Huang, Sijie Yuan, Dongsheng Li, et al.
Journal of Sound and Vibration (2022) Vol. 548, pp. 117516-117516
Closed Access | Times Cited: 18
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