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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:

Deep autoencoder architecture for bridge damage assessment using responses from several vehicles
Muhammad Zohaib Sarwar, Daniel Cantero
Engineering Structures (2021) Vol. 246, pp. 113064-113064
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Recent Advances in Researches on Vehicle Scanning Method for Bridges
Z. L. Wang, Judy P. Yang, Kang Shi, et al.
International Journal of Structural Stability and Dynamics (2022) Vol. 22, Iss. 15
Closed Access | Times Cited: 136
A review of mobile sensing of bridges using moving vehicles: Progress to date, challenges and future trends
Abdollah Malekjafarian, Robert Corbally, Wenjie Gong
Structures (2022) Vol. 44, pp. 1466-1489
Open Access | Times Cited: 87
Autoencoders for unsupervised real‐time bridge health assessment
Valentina Giglioni, Ilaria Venanzi, Valentina Poggioni, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 8, pp. 959-974
Closed Access | Times Cited: 64
Bridge damage identification under the moving vehicle loads based on the method of physics-guided deep neural networks
Xinfeng Yin, Zhou Huang, Yang Liu
Mechanical Systems and Signal Processing (2023) Vol. 190, pp. 110123-110123
Closed Access | Times Cited: 37
Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends
Jing Jia, Ying Li
Sensors (2023) Vol. 23, Iss. 21, pp. 8824-8824
Open Access | Times Cited: 28
Unsupervised learning-based framework for indirect structural health monitoring using adversarial autoencoder
A. Calderon Hurtado, Kirandeep Kaur, Mehrisadat Makki Alamdari, et al.
Journal of Sound and Vibration (2023) Vol. 550, pp. 117598-117598
Closed Access | Times Cited: 27
Drive-by bridge damage detection using Mel-frequency cepstral coefficients and support vector machine
Zhenkun Li, Weiwei Lin, Youqi Zhang
Structural Health Monitoring (2023) Vol. 22, Iss. 5, pp. 3302-3319
Closed Access | Times Cited: 25
Seismic damage identification of high arch dams based on an unsupervised deep learning approach
Xiangyu Cao, Liang Chen, Jianyun Chen, et al.
Soil Dynamics and Earthquake Engineering (2023) Vol. 168, pp. 107834-107834
Closed Access | Times Cited: 22
A deep‐learning framework for classifying the type, location, and severity of bridge damage using drive‐by measurements
Robert Corbally, Abdollah Malekjafarian
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 6, pp. 852-871
Open Access | Times Cited: 22
A data-driven methodology for bridge indirect health monitoring using unsupervised computer vision
A. Calderon Hurtado, Mehrisadat Makki Alamdari, Elena Atroshchenko, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111109-111109
Open Access | Times Cited: 11
Footbridge damage detection using smartphone-recorded responses of micromobility and convolutional neural networks
Zhenkun Li, Yifu Lan, Weiwei Lin
Automation in Construction (2024) Vol. 166, pp. 105587-105587
Open Access | Times Cited: 9
On using autoencoders with non-standardized time series data for damage localization
Niklas Römgens, Abderrahim Abbassi, Clemens Jonscher, et al.
Engineering Structures (2024) Vol. 303, pp. 117570-117570
Open Access | Times Cited: 8
Real-time drive-by bridge damage detection using deep auto-encoder
Zhenkun Li, Weiwei Lin, Youqi Zhang
Structures (2022) Vol. 47, pp. 1167-1181
Open Access | Times Cited: 30
The application of deep learning in bridge health monitoring: a literature review
Guo-Qing Zhang, Bin Wang, Jun Li, et al.
Advances in Bridge Engineering (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 29
Prediction of multiple fatigue crack growth based on modified Paris model with particle filtering framework
Li Wang, Chao Zhang, Chongcong Tao, et al.
Mechanical Systems and Signal Processing (2023) Vol. 190, pp. 110124-110124
Closed Access | Times Cited: 19
A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders
Jorge Magalhães, Tomás Jorge, Rúben Silva, et al.
Railway Engineering Science (2024) Vol. 32, Iss. 4, pp. 421-443
Open Access | Times Cited: 7
Displacement response estimation of a cable-stayed bridge subjected to various loading conditions with one-dimensional residual convolutional autoencoder method
Xiaoming Lei, Dionysius M. Siringoringo, Zhen Sun, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 3, pp. 1790-1806
Closed Access | Times Cited: 26
Recent Advancements and Future Trends in Indirect Bridge Health Monitoring
Premjeet Singh, Shivank Mittal, Ayan Sadhu
Practice Periodical on Structural Design and Construction (2022) Vol. 28, Iss. 1
Closed Access | Times Cited: 26
State-of-the-art and annual progress of bridge engineering in 2021
Renda Zhao, Kaifeng Zheng, Wei Xing, et al.
Advances in Bridge Engineering (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 24
Bridge frequency identification in city bus monitoring: A coherence-PPI algorithm
Yifu Lan, Zhenkun Li, Keijo Koski, et al.
Engineering Structures (2023) Vol. 296, pp. 116913-116913
Open Access | Times Cited: 14
Physics-guided diagnosis framework for bridge health monitoring using raw vehicle accelerations
Yifu Lan, Zhenkun Li, Weiwei Lin
Mechanical Systems and Signal Processing (2023) Vol. 206, pp. 110899-110899
Open Access | Times Cited: 13
An intelligent framework of upgraded CapsNets with massive transmissibility data for identifying damage in bridges
Shuai Li, Maosen Cao, Mahmoud Bayat, et al.
Applied Soft Computing (2024) Vol. 155, pp. 111459-111459
Closed Access | Times Cited: 5
Deep learning algorithms for IoT security(survey)
Hiba Hameed Ali, Jolan Rokan Naif, Waleed Rasheed Humood
AIP conference proceedings (2024)
Closed Access | Times Cited: 5
DNN surrogate model based cable force optimization for cantilever erection construction of large span arch bridge with concrete filled steel tube
Xiaohang Zhou, Lu Cao, Weiwei Xie, et al.
Advances in Engineering Software (2024) Vol. 189, pp. 103588-103588
Closed Access | Times Cited: 4
Drive-by Bridge Damage Detection Using Continuous Wavelet Transform
Kultigin Demirlioglu, Emrah Erduran
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2969-2969
Open Access | Times Cited: 4
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