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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:

Damage detection of bridges subjected to moving load based on domain-adversarial neural network considering measurement and model error
Zhidong Li, Wen-Yu He, Wei‐Xin Ren, et al.
Engineering Structures (2023) Vol. 293, pp. 116601-116601
Closed Access | Times Cited: 17

Showing 17 citing articles:

Partial‐Model‐Based Damage Identification of Long‐Span Steel Truss Bridge Based on Stiffness Separation Method
Feng Xiao, Yuxue Mao, Geng Tian, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 13
Displacement reconstruction with frequency domain-invariant representation for enhancing track damage identification
Shaohua Wang, Hu Meng, Lihua Tang, et al.
Engineering Structures (2025) Vol. 328, pp. 119693-119693
Open Access
Machine learning for design, optimization and assessment of steel-concrete composite structures: A review
Xianlin Wang, Bozhou Zhuang, Danny Smyl, et al.
Engineering Structures (2025) Vol. 328, pp. 119652-119652
Closed Access
Innovative intelligent and expert system of bridges damage identification via wavelet packet energy curvature difference method integrated with artificial intelligence algorithms
Wael A. Altabey
Sound&Vibration (2025) Vol. 59, Iss. 2, pp. 2372-2372
Open Access
Machine learning-empowered intelligent vehicle–bridge systems: Current status and future prospects
Jin Zhu, Cheng Wei, Tingpeng Zhang, et al.
Structures (2025) Vol. 74, pp. 108598-108598
Closed Access
Recognition of grinding surface roughness grade based on adversarial domain adaptation under variable illumination
Huaian Yi, Jiefeng Huang, Aihua Shu, et al.
Surface Topography Metrology and Properties (2024) Vol. 12, Iss. 1, pp. 015003-015003
Closed Access | Times Cited: 4
Zero-shot knowledge transfer for seismic damage diagnosis through multi-channel 1D CNN integrated with autoencoder-based domain adaptation
Qingsong Xiong, Qingzhao Kong, Haibei Xiong, et al.
Mechanical Systems and Signal Processing (2024) Vol. 217, pp. 111535-111535
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
Structural damage detection with two-stage modal information and sparse Bayesian learning
Yunfeng Zou, Guochen Yang, Xuandong Lu, et al.
Structures (2023) Vol. 58, pp. 105361-105361
Closed Access | Times Cited: 5
A deep transfer learning model for online monitoring of surface roughness in milling with variable parameters
Kai Zhou, Pingfa Feng, Feng Feng, et al.
Computers in Industry (2024) Vol. 164, pp. 104199-104199
Closed Access | Times Cited: 1
Vehicle load identification based on bridge response using deep convolutional neural network
Sadaqat Hussain, Syed M. Hussain, Yu Xin, et al.
Journal of Asian Architecture and Building Engineering (2024)
Open Access
Estimation of Numerical Data Reliability in Damage Detection Tasks
Panagiotis Seventekidis, Dimitrios Giagopoulos
Lecture notes in civil engineering (2024), pp. 394-401
Closed Access
Dynamic force identification considering modeling errors using modal expansion method and relevant vector regression algorithm
Xinyuan Zhou, Zehan Gao, Yahui Zhang
Aerospace Science and Technology (2024) Vol. 154, pp. 109504-109504
Closed 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
Structural damage detection based on transmissibility functions with unsupervised domain adaptation
Xutong Zhang, Xinqun Zhu, Yingqi Wang, et al.
Engineering Structures (2024) Vol. 322, pp. 119142-119142
Open Access
Analysis of Damage in a Warren Truss Bridge Using CAE and DANN Neural Networks
Marcus Pacheco, Óscar Ramón Ramos Gutiérrez, Joan R. Casas, et al.
E3S Web of Conferences (2024) Vol. 586, pp. 02002-02002
Open Access
Transfer learning in bridge monitoring: Laboratory study on domain adaptation for population-based SHM of multispan continuous girder bridges
Valentina Giglioni, Jack Poole, Robin S. Mills, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112151-112151
Open Access
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