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:

A Bayesian approach for condition assessment and damage alarm of bridge expansion joints using long-term structural health monitoring data
Yi‐Qing Ni, You‐Wu Wang, Chaodong Zhang
Engineering Structures (2020) Vol. 212, pp. 110520-110520
Open Access | Times Cited: 123

Showing 1-25 of 123 citing articles:

The Current Development of Structural Health Monitoring for Bridges: A Review
Z.C. Deng, Minshui Huang, Neng Wan, et al.
Buildings (2023) Vol. 13, Iss. 6, pp. 1360-1360
Open Access | Times Cited: 94

Long-term health monitoring of concrete and steel bridges under large and missing data by unsupervised meta learning
Alireza Entezami, Hassan Sarmadi, Bahareh Behkamal
Engineering Structures (2023) Vol. 279, pp. 115616-115616
Open Access | Times Cited: 63

On continuous health monitoring of bridges under serious environmental variability by an innovative multi-task unsupervised learning method
Alireza Entezami, Hassan Sarmadi, Bahareh Behkamal, et al.
Structure and Infrastructure Engineering (2023) Vol. 20, Iss. 12, pp. 1975-1993
Closed Access | Times Cited: 41

Probabilistic method for wind speed prediction and statistics distribution inference based on SHM data-driven
Yang Ding, Xiao‐Wei Ye, Yong Guo, et al.
Probabilistic Engineering Mechanics (2023) Vol. 73, pp. 103475-103475
Closed Access | Times Cited: 41

AF-OS-ELM-MVE: A new online sequential extreme learning machine of dam safety monitoring model for structure deformation estimation
Ye Zhang, Wenwei Zhang, Yanlong Li, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102345-102345
Closed Access | Times Cited: 18

Unsupervised learning-based damage assessment of full-scale civil structures under long-term and short-term monitoring
Mohammad Hassan Daneshvar, Hassan Sarmadi
Engineering Structures (2022) Vol. 256, pp. 114059-114059
Closed Access | Times Cited: 65

Developing a digital twin model for monitoring building structural health by combining a building information model and a real-scene 3D model
Jinghai Xu, Xin Shu, Peng Qiao, et al.
Measurement (2023) Vol. 217, pp. 112955-112955
Closed Access | Times Cited: 36

Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review
Ayoub Keshmiry, Sahar Hassani, Mohsen Mousavi, et al.
Buildings (2023) Vol. 13, Iss. 4, pp. 918-918
Open Access | Times Cited: 30

Structural health monitoring in aviation: a comprehensive review and future directions for machine learning
Furkan Kosova, Özkan Altay, Hakkı Özgür Ünver
Nondestructive Testing And Evaluation (2024), pp. 1-60
Closed Access | Times Cited: 12

Post-earthquake structural damage assessment and damage state evaluation for RC structures with experimental validation
Hanqing Zhang, Yves Reuland, Jiazeng Shan, et al.
Engineering Structures (2024) Vol. 304, pp. 117591-117591
Closed Access | Times Cited: 8

A novel CNN architecture for robust structural damage identification via strain measurements and its validation via full-scale experiments
Burak Duran, Dominic Emory, Saeed Eftekhar Azam, et al.
Measurement (2024) Vol. 239, pp. 115393-115393
Closed Access | Times Cited: 8

A novel hybrid model for bridge dynamic early warning using LSTM-EM-GMM
Shuangjiang Li, Jingzhou Xin, Yan Jiang, et al.
Advances in Bridge Engineering (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 7

Practical model updating of the Ting Kau Bridge through the MCMC-based Bayesian algorithm utilizing measured modal parameters
Chen Fang, Hongjun Liu, Heung‐Fai Lam, et al.
Engineering Structures (2022) Vol. 254, pp. 113839-113839
Closed Access | Times Cited: 33

Sparse Bayesian Identification of Temperature-Displacement Model for Performance Assessment and Early Warning of Bridge Bearings
Haibin Huang, Ting‐Hua Yi, Hong‐Nan Li, et al.
Journal of Structural Engineering (2022) Vol. 148, Iss. 6
Closed Access | Times Cited: 28

Identification of concrete surface damage based on probabilistic deep learning of images
Yang Zhang, Yi‐Qing Ni, Xinyu Jia, et al.
Automation in Construction (2023) Vol. 156, pp. 105141-105141
Closed Access | Times Cited: 20

Deep learning-based reconstruction of missing long-term girder-end displacement data for suspension bridge health monitoring
Zhi-wei Wang, Xiao-fan Lu, Wenming Zhang, et al.
Computers & Structures (2023) Vol. 284, pp. 107070-107070
Closed Access | Times Cited: 18

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: 16

Hybrid structural analysis integrating physical model and continuous‐time state‐space neural network model
Hongwei Li, Shuo Hao, Yi‐Qing Ni, et al.
Computer-Aided Civil and Infrastructure Engineering (2024)
Open Access | Times Cited: 5

Vibration reduction for expansion joints of long-span suspension bridges using frictional dampers
Jie Liu, Haobo Wang, Tong Guo, et al.
Engineering Structures (2025) Vol. 326, pp. 119579-119579
Closed Access

Research on the beam-end regional deformation of long-span suspension bridges and train operating performance
Ming Wang, Chufeng Wang, Haonan He, et al.
Engineering Structures (2025) Vol. 327, pp. 119589-119589
Closed Access

Enhanced structural damage detection through combined MODWT and FFT for power spectral density separation in beam vibration analysis
Thanh Q. Nguyen, Dong Phuong Nguyen, Phuoc T. Nguyen, et al.
Journal of low frequency noise, vibration and active control (2025)
Open Access

Influence of vertical rotation angle at bridge end on the motion law and force characteristics of beam-end expansion device in large-span bridge
Zhiheng Li, Shuguo Wang, Tao Liao, et al.
Structures (2025) Vol. 73, pp. 108415-108415
Closed Access

Bayesian dynamic forecasting of structural strain response using structural health monitoring data
You‐Wu Wang, Yi‐Qing Ni
Structural Control and Health Monitoring (2020) Vol. 27, Iss. 8
Open Access | Times Cited: 47

Field monitoring and response characteristics of longitudinal movements of expansion joints in long-span suspension bridges
Jianhua Hu, Lianhua Wang, Xiaopeng Song, et al.
Measurement (2020) Vol. 162, pp. 107933-107933
Closed Access | Times Cited: 43

An efficient and robust sampler for Bayesian inference: Transitional Ensemble Markov Chain Monte Carlo
Adolphus Lye, Alice Cicirello, Edoardo Patelli
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108471-108471
Open Access | Times Cited: 37

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