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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:

Abnormal data detection for structural health monitoring: State-of-the-art review
Yang Deng, Yingjie Zhao, Hanwen Ju, et al.
Developments in the Built Environment (2024) Vol. 17, pp. 100337-100337
Open Access | Times Cited: 21

Showing 21 citing articles:

An accurate and low-cost vehicle-induced deflection prediction framework for long-span bridges using deep learning and monitoring data
Hanwen Ju, Huaiyuan Shi, Weicheng Shen, et al.
Engineering Structures (2024) Vol. 310, pp. 118094-118094
Closed Access | Times Cited: 12
Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation
Vagelis Plevris
Stochastic Environmental Research and Risk Assessment (2025)
Open Access | Times Cited: 1
A Wireless Data Acquisition System Based on MEMS Accelerometers for Operational Modal Analysis of Bridges
Hamed Hasani, Francesco Freddi, Riccardo Piazza, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2121-2121
Open Access | Times Cited: 6
Deep learning–based data anomaly detection for highway slope structural health monitoring: A comparative study
Shi Dong, Zhiyou Long, Shiyuan Zhang, et al.
Transportation Geotechnics (2025), pp. 101490-101490
Closed Access
On the performance of data-driven dynamic models for temperature compensation on bridge monitoring data
Luca Radicioni, Viviana Giorgi, Lorenzo Benedetti, et al.
Journal of Civil Structural Health Monitoring (2025)
Closed Access
Unsupervised Machine Learning Methods for Detecting Anomalies in the Structural Behavior of a University Laboratory
Marco De Simone, Leidy Esperanza Pamplona Berón, Domenico Guida
Lecture notes in networks and systems (2025), pp. 41-57
Closed Access
Temperature Monitoring of Mass Concrete Structure Using Wireless Sensing System
Tengyi Wang, Dan Li, Juntao Zhou, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
A Novel Drive-through Approach Using Multi-sensor Placement and Its Validation on Two Cable-stayed Bridges
Seyedmilad Komarizadehasl, Zhouhui Shen, Ye Xia, et al.
Developments in the Built Environment (2025), pp. 100653-100653
Open Access
A Novel Methodology for Structural Health Monitoring of Buildings Subjected to Earthquakes
Sherif Beskhyroun, Seyed Ehsan Aghakouchaki Hosseini
(2025)
Closed Access
Developing and Testing High-Performance SHM Sensors Mounting Low-Noise MEMS Accelerometers
Marianna Crognale, Cecilia Rinaldi, Francesco Potenza, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2435-2435
Open Access | Times Cited: 3
Automatic Modal Frequency Identification of Bridge Cables under Influence of Abnormal Monitoring Data
Hanwen Ju, Yang Deng, Yingjie Zhao, et al.
Journal of Performance of Constructed Facilities (2024) Vol. 38, Iss. 6
Closed Access | Times Cited: 2
Experimental validation and performance evaluation of high-performance devices based on a low-noise MEMS accelerometer
Marianna Crognale, Cecilia Rinaldi, Francesco Potenza, et al.
(2024)
Open Access | Times Cited: 1
A deep-learning-based approach towards identifying combined faults in structural health monitoring
Heba Al-Nasser, Thamer Al‐Zuriqat, Kosmas Dragos, et al.
e-Journal of Nondestructive Testing (2024) Vol. 29, Iss. 7
Open Access | Times Cited: 1
Predicting Structural Temperature of Ancient City Walls: A Case Study Using Ambient Temperature and Deep Learning
Hanwen Ju, Yingjie Zhao, Liang Zheng, et al.
International Journal of Architectural Heritage (2024), pp. 1-18
Closed Access | Times Cited: 1
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods
Sahar Hassani
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
A self-supervised learning-based approach for detection and classification of dam deformation monitoring abnormal data with imaging time series
Lei Wang, Xiaoling Wang, Jun Zhang, et al.
Structures (2024) Vol. 68, pp. 107148-107148
Closed Access | Times Cited: 1
Self-Supervised Dam Deformation Anomaly Detection Based on Temporal–Spatial Contrast Learning
Yu Wang, Guohua Liu
Sensors (2024) Vol. 24, Iss. 17, pp. 5858-5858
Open Access | Times Cited: 1
Bridge Damage Identification Based on Encoded Images and Convolutional Neural Network
Xiaoguang Wang, W. Li, Ming Ma, et al.
Buildings (2024) Vol. 14, Iss. 10, pp. 3104-3104
Open Access | Times Cited: 1
Identification of combined sensor faults in structural health monitoring systems
Heba Al-Nasser, Thamer Al‐Zuriqat, Kosmas Dragos, et al.
Smart Materials and Structures (2024) Vol. 33, Iss. 8, pp. 085026-085026
Open Access
Data anomaly detection for structural health monitoring using the Mixture of Bridge Experts
Changshun Hao, Yu Gong, Baodong Liu, et al.
Structures (2024) Vol. 71, pp. 108039-108039
Closed Access
Evaluation of Construction Worker Perceptions of Wearable Proximity Sensors during the COVID-19 Pandemic
Xiaoying Yang, William Jefferson, Tanyel Bulbul
Journal of Construction Engineering and Management (2024) Vol. 151, Iss. 3
Closed Access
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