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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:

Digital modeling on the nonlinear mapping between multi‐source monitoring data of in‐service bridges
Hanwei Zhao, Youliang Ding, Aiqun Li, et al.
Structural Control and Health Monitoring (2020) Vol. 27, Iss. 11
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Deep learning and data augmentation based data imputation for structural health monitoring system in multi-sensor damaged state
Jiale Hou, Huachen Jiang, Chunfeng Wan, et al.
Measurement (2022) Vol. 196, pp. 111206-111206
Closed Access | Times Cited: 46
Bayesian Multiple Linear Regression and New Modeling Paradigm for Structural Deflection Robust to Data Time Lag and Abnormal Signal
Hanwei Zhao, Youliang Ding, Libo Meng, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 19635-19647
Closed Access | Times Cited: 33
Establishment and evaluation of conditional GAN-based image dataset for semantic segmentation of structural cracks
Tao Jin, Xiao‐Wei Ye, Zecheng Li
Engineering Structures (2023) Vol. 285, pp. 116058-116058
Closed Access | Times Cited: 28
Interpretable machine learning methods for clarification of load-displacement effects on cable-stayed bridge
Xiaoming Lei, Dionysius M. Siringoringo, You Dong, et al.
Measurement (2023) Vol. 220, pp. 113390-113390
Closed Access | Times Cited: 28
Concrete and steel bridge Structural Health Monitoring—Insight into choices for machine learning applications
Donghui Xu, Xiang Xu, M. C. Forde, et al.
Construction and Building Materials (2023) Vol. 402, pp. 132596-132596
Open Access | Times Cited: 24
An enhancement method for chloride diffusion coefficient long-term prediction based on Hilbert dynamic probabilistic interpolation and BO-LSTM
Renjie Wu, Yuzhou Wang, Khant Swe Hein, et al.
Measurement (2025), pp. 116820-116820
Closed Access | Times Cited: 1
A probabilistic Bayesian recurrent neural network for remaining useful life prognostics considering epistemic and aleatory uncertainties
José Luis Reyes Cáceres, Danilo González, Taotao Zhou, et al.
Structural Control and Health Monitoring (2021) Vol. 28, Iss. 10
Open Access | Times Cited: 51
Deep Learning-Based Minute-Scale Digital Prediction Model of Temperature-Induced Deflection of a Cable-Stayed Bridge: Case Study
Zixiang Yue, Youliang Ding, Hanwei Zhao
Journal of Bridge Engineering (2021) Vol. 26, Iss. 6
Closed Access | Times Cited: 48
Mechanics-Guided optimization of an LSTM network for Real-Time modeling of Temperature-Induced deflection of a Cable-Stayed bridge
Zixiang Yue, Youliang Ding, Hanwei Zhao, et al.
Engineering Structures (2021) Vol. 252, pp. 113619-113619
Closed Access | Times Cited: 45
Digital modeling approach of distributional mapping from structural temperature field to temperature-induced strain field for bridges
Hanwei Zhao, Youliang Ding, Aiqun Li, et al.
Journal of Civil Structural Health Monitoring (2022) Vol. 13, Iss. 1, pp. 251-267
Closed Access | Times Cited: 34
Partially online damage detection using long-term modal data under severe environmental effects by unsupervised feature selection and local metric learning
Hassan Sarmadi, Alireza Entezami, Bahareh Behkamal, et al.
Journal of Civil Structural Health Monitoring (2022) Vol. 12, Iss. 5, pp. 1043-1066
Closed Access | Times Cited: 32
A deep learning method based on partition modeling for reconstructing temperature field
Xingwen Peng, Xingchen Li, Zhiqiang Gong, et al.
International Journal of Thermal Sciences (2022) Vol. 182, pp. 107802-107802
Closed Access | Times Cited: 32
Structural health monitoring of railway bridges using innovative sensing technologies and machine learning algorithms: a concise review
You‐Wu Wang, Yi‐Qing Ni, Sumei Wang
Intelligent Transportation Infrastructure (2022) Vol. 1
Open Access | Times Cited: 30
Correlation model of deflection, vehicle load, and temperature for in‐service bridge using deep learning and structural health monitoring
Yang Deng, Hanwen Ju, Wenqiang Zhai, et al.
Structural Control and Health Monitoring (2022) Vol. 29, Iss. 12
Open Access | Times Cited: 30
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
Temperature-induced response reconstruction method based on DL-AR model and attention mechanism
Chengbin Chen, Liqun Tang, Yonghui Lu, et al.
Structures (2023) Vol. 50, pp. 359-372
Closed Access | Times Cited: 17
Damage index based on the strain‐to‐displacement relation for health monitoring of railway bridges
Said Quqa, Antonio Palermo, Alessandro Marzani
Computer-Aided Civil and Infrastructure Engineering (2024)
Closed Access | Times Cited: 7
Quantitative Analysis of Bolt Loosening Angle Based on Deep Learning
Yi Qian, Chuyue Huang, Beilin Han, et al.
Buildings (2024) Vol. 14, Iss. 1, pp. 163-163
Open Access | Times Cited: 5
A multi-sensor mapping Bi-LSTM model of bridge monitoring data based on spatial-temporal attention mechanism
Kang Yang, Youliang Ding, Fangfang Geng, et al.
Measurement (2023) Vol. 217, pp. 113053-113053
Closed Access | Times Cited: 15
An improved system for long-term monitoring of full-bridge traffic load distribution on long-span bridges
Liangfu Ge, Danhui Dan, Ki‐Young Koo, et al.
Structures (2023) Vol. 54, pp. 1076-1089
Closed Access | Times Cited: 14
Wind-induced fragility analysis of a transmission tower based on multi-source monitoring data and deep learning methods
Wensheng Zhang, Xing Fu, Hong‐Nan Li, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2024) Vol. 252, pp. 105834-105834
Closed Access | Times Cited: 4
AGSAM-Net: UAV route planning and visual guidance model for bridge surface defect detection
Rongji Li, Ziqian Wang
Image and Vision Computing (2025), pp. 105416-105416
Closed Access
Structural safety evaluation using Bayesian ensemble neural networks
Jin-Ling Zheng, Sheng-En Fang
Engineering Structures (2025) Vol. 328, pp. 119709-119709
Closed Access
Automated intelligent detection system for bridge damages with Fractal-features-based improved YOLOv7
Yongjian Zhang, Xing Chen, Wenbin Yan
Signal Image and Video Processing (2025) Vol. 19, Iss. 3
Closed Access
Using AI-Based Tools to Quantify the Technical Condition of Bridge Structural Components
Роман Трач, Volodymyr Tyvoniuk, Tomasz Wierzbicki, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1625-1625
Open Access
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