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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:

Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations
Ana Fernández-Navamuel, David Pardo, Filipe Magalhães, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110471-110471
Open Access | Times Cited: 22

Showing 22 citing articles:

Coupling mechanism and data-driven approaches for high power wet clutch torque modeling and analysis
Jianpeng Wu, Jiahao Cui, Wenya Shu, et al.
Tribology International (2023) Vol. 191, pp. 109166-109166
Closed Access | Times Cited: 13
Damage identification method of arch bridges using MobileViT and transfer learning
Jingzhou Xin, Liming Jiang, Qin Tang, et al.
Journal of Civil Structural Health Monitoring (2025)
Closed Access
Comment on wes-2024-160

(2025)
Closed Access
Unsupervised damage localization method based on GAN-BiLSTM response modeling
Yonghui Lu, Liqun Tang, Zejia Liu, et al.
Engineering Structures (2025) Vol. 328, pp. 119714-119714
Closed Access
Research advances in wet multi-plate clutches and the significance of groove structure in research
Qifei Li, Fei Wang, Sen Liu, et al.
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering (2025)
Closed Access
Bridge damage localization and quantification using deep learning and FEM static simulation
Hongshuo Sun, Li Song, Zhiwu Yu
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111177-111177
Closed Access | Times Cited: 3
Development and experimental verification of the adaptive cable-strut antenna array
Runzhi Lu, Qian Zhang, Yeqing Gu, et al.
Journal of Constructional Steel Research (2024) Vol. 218, pp. 108695-108695
Closed Access | Times Cited: 3
Unsupervised quantitative structural damage identification method based on BiLSTM networks and probability distribution model
Yonghui Lu, Liqun Tang, Zejia Liu, et al.
Journal of Sound and Vibration (2024) Vol. 590, pp. 118597-118597
Closed Access | Times Cited: 3
Structural damage identification based on Wasserstein Generative Adversarial Network with gradient penalty and dynamic adversarial adaptation network
Zhidong Li, Wen-Yu He, Wei‐Xin Ren
Mechanical Systems and Signal Processing (2024) Vol. 221, pp. 111754-111754
Closed Access | Times Cited: 3
A hybrid modeling strategy for training data generation in machine learning-based structural health monitoring
Tim Vrtač, Domen Ocepek, Martin Česnik, et al.
Mechanical Systems and Signal Processing (2023) Vol. 207, pp. 110937-110937
Open Access | Times Cited: 7
The “M and P” Technique for Damage Identification in Reinforced Concrete Bridges
Athanasios P. Bakalis, Triantafyllos K. Makarios, V. Lekidis
Infrastructures (2024) Vol. 9, Iss. 2, pp. 18-18
Open Access | Times Cited: 1
Direct Analysis of a Steel Railway Bridge via Monitoring System of an Instrumented Structure
Wimpie Agoeng Noegroho Aspar, Mulyo Harris Pradono, Willy Barasa, et al.
International Journal on Advanced Science Engineering and Information Technology (2024) Vol. 14, Iss. 1, pp. 287-298
Open Access | Times Cited: 1
Deep neural network for damage detection in Infante Dom Henrique bridge using multi-sensor data
Ana Fernández-Navamuel, David Pardo, Filipe Magalhães, et al.
Structural Health Monitoring (2024) Vol. 24, Iss. 1, pp. 372-401
Open Access | Times Cited: 1
Structural damage identification method based on Swin Transformer and continuous wavelet transform
Jingzhou Xin, Guangjiong Tao, Qizhi Tang, et al.
Intelligence & Robotics (2024) Vol. 4, Iss. 2, pp. 200-15
Open Access | Times Cited: 1
Research on high-speed drag torque characteristics of wet clutches based on mechanism and data-driven approach
Lin Zhang, Haoyu Zhou, Peng Zhang, et al.
Nonlinear Dynamics (2024)
Closed Access | Times Cited: 1
Research on High-Speed Drag Torque Characteristics of Wet Clutches Based on Mechanism and Data-Driven Approach
Lin Zhang, Haoyu Zhou, Peng Zhang, et al.
Research Square (Research Square) (2024)
Closed Access
Case Study: Lightweight and Emergency Monitoring of a Post-disaster Bridge
Luyao Sun, Wen Xiong, Yanjie Zhu
e-Journal of Nondestructive Testing (2024) Vol. 29, Iss. 7
Open Access
Bridge damage location and quantification under the moving vehicle loads based on deep learning multi-objective regression
Liuqi Ying, Chengyang Zhang, Guogang Ying
Engineering Structures (2024) Vol. 320, pp. 118904-118904
Closed Access
Sensitive Properties of Power Spectral Density Transmissibility (PSDT) to Moving Vehicles and Structural States in Bridge Health Monitoring
Lifeng Qin, Wei‐Xin Ren, Wang‐Ji Yan
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access
Ambient vibration measurement-aided multi-1D CNNs ensemble for damage localization framework: demonstration on a large-scale RC pedestrian bridge
Yujue Zhou, Yongcheng Liu, Yuezong Lian, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 111937-111937
Closed Access
A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen
Naiwei Lu, Yiru Liu, Jian Cui, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8007-8007
Open Access
Comment on wes-2024-160

(2024)
Closed Access
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