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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:

Multiclass Damage Identification in a Full-Scale Bridge Using Optimally Tuned One-Dimensional Convolutional Neural Network
Sandeep Sony, Sunanda Gamage, Ayan Sadhu, et al.
Journal of Computing in Civil Engineering (2021) Vol. 36, Iss. 2
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

A Review of Data Management and Visualization Techniques for Structural Health Monitoring Using BIM and Virtual or Augmented Reality
Ayan Sadhu, Jack E. Peplinski, Ali Mohammadkhorasani, et al.
Journal of Structural Engineering (2022) Vol. 149, Iss. 1
Closed Access | Times Cited: 72
Damage identification of steel bridge based on data augmentation and adaptive optimization neural network
Minshui Huang, Jianwei Zhang, Jun Li, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 25
Review of Machine-Learning Techniques Applied to Structural Health Monitoring Systems for Building and Bridge Structures
Alain Gomez-Cabrera, Ponciano Jorge Escamilla-Ambrosio
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10754-10754
Open Access | Times Cited: 55
Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends
Jing Jia, Ying Li
Sensors (2023) Vol. 23, Iss. 21, pp. 8824-8824
Open Access | Times Cited: 28
Automatic pipeline fault detection using one-dimensional convolutional bidirectional long short-term memory networks with wide first-layer kernels
Longguang Peng, Wenjie Huang, Guofeng Du, et al.
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3832-3849
Closed Access | Times Cited: 8
Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge
Ali Dabbous, Riccardo Berta, Matteo Fresta, et al.
IEEE Open Journal of the Industrial Electronics Society (2024) Vol. 5, pp. 781-794
Open Access | Times Cited: 8
One-dimensional residual convolutional neural network and percussion-based method for pipeline leakage and water deposit detection
Longguang Peng, Jicheng Zhang, Shengqing Lu, et al.
Process Safety and Environmental Protection (2023) Vol. 177, pp. 1142-1153
Closed Access | Times Cited: 17
Few-shot learning for structural health diagnosis of civil infrastructure
Yang Xu, Yunlei Fan, Yuequan Bao, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102650-102650
Closed Access | Times Cited: 7
Autonomous Identification of Bridge Concrete Cracks Using Unmanned Aircraft Images and Improved Lightweight Deep Convolutional Networks
Fei Song, Ying Sun, Guixia Yuan
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 6
Domain adaptation for structural health monitoring via physics-informed and self-attention-enhanced generative adversarial learning
Liangfu Ge, Ayan Sadhu
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111236-111236
Open Access | Times Cited: 6
A hybrid time-frequency method for robust drive-by modal identification of bridges
Premjeet Singh, Ayan Sadhu
Engineering Structures (2022) Vol. 266, pp. 114624-114624
Closed Access | Times Cited: 26
Recent Advancements and Future Trends in Indirect Bridge Health Monitoring
Premjeet Singh, Shivank Mittal, Ayan Sadhu
Practice Periodical on Structural Design and Construction (2022) Vol. 28, Iss. 1
Closed Access | Times Cited: 26
Detection of loosening angle for mark bolted joints with computer vision and geometric imaging
Xinjian Deng, Jianhua Liu, Hao Gong, et al.
Automation in Construction (2022) Vol. 142, pp. 104517-104517
Closed Access | Times Cited: 22
Bridge Damage Identification Using Deep Neural Networks on Time–Frequency Signals Representation
Pasquale Santaniello, Paolo Russo
Sensors (2023) Vol. 23, Iss. 13, pp. 6152-6152
Open Access | Times Cited: 13
Large-Span Spatial Structural Damage Recognition Based on a Transfer-Learning Improved LSTM Network
Caiwei Liu, Shuang Liu, Pengfei Wang, et al.
Journal of Computing in Civil Engineering (2025) Vol. 39, Iss. 2
Closed Access
Framework for Developing Prediction Models for Boundary Conditions of Slabs in Girders Considering Interpretability: An Application for Deck Slabs in Composite Box Girders
Ying-Jie Zhu, Liying Chen
Journal of Bridge Engineering (2025) Vol. 30, Iss. 4
Closed Access
Leveraging Neural Architecture Search for Structural Health Monitoring on Resource-Constrained Devices
Alessio Capello, Riccardo Berta, Matteo Fresta, et al.
Lecture notes in electrical engineering (2025), pp. 323-330
Closed Access
Deep learning-driven multi-level data fusion framework for predictive maintenance and structural health monitoring of concrete bridge decks
Obaidullah Hakimi, Hexu Liu, Osama Abudayyeh
Automation in Construction (2025) Vol. 175, pp. 106180-106180
Closed Access
Deep-Learning-Based Drive-by Damage Detection System for Railway Bridges
Donya Hajializadeh
Infrastructures (2022) Vol. 7, Iss. 6, pp. 84-84
Open Access | Times Cited: 19
Structural damage identification under ambient temperature variations based on CNN and normalized modal flexibility-autoregressive coefficients hybrid index
Jianfeng Gu, Chunyan Xiang, Jin Luo, et al.
Advances in Structural Engineering (2024) Vol. 27, Iss. 4, pp. 620-636
Closed Access | Times Cited: 4
Bridge anomaly detection via structure health monitoring with ResNet-152 and scalogram techniques on vibration data
H. Yousefpour, Sekineh Asadi Amiri, Zeynab Mohammadpoory
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Closed Access
A novel cross-domain identification method for bridge damage based on recurrence plot and convolutional neural networks
Boju Luo, Qingyang Wei, Shuigen Hu, et al.
Journal of Vibroengineering (2024) Vol. 26, Iss. 5, pp. 1040-1061
Open Access | Times Cited: 3
Evolutionary Computation Modelling for Structural Health Monitoring of Critical Infrastructure
Charanjeet Singh Tumrate, Dinesh Kumar Saini, Punit Gupta, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 1479-1493
Closed Access | Times Cited: 15
Evaluating the Performance of Pre-Trained Convolutional Neural Network for Audio Classification on Embedded Systems for Anomaly Detection in Smart Cities
Mimoun Lamrini, Mohamed Yassin Chkouri, Abdellah Touhafi
Sensors (2023) Vol. 23, Iss. 13, pp. 6227-6227
Open Access | Times Cited: 8
Reinforcement Learning for Integrated Structural Control and Health Monitoring
Sajad Javadinasab Hormozabad, Nathan Jacobs, Mariantonieta Gutiérrez Soto
Practice Periodical on Structural Design and Construction (2024) Vol. 29, Iss. 3
Closed Access | Times Cited: 2
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