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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:

Multi-Sensor and Decision-Level Fusion-Based Structural Damage Detection Using a One-Dimensional Convolutional Neural Network
Shuai Teng, Gongfa Chen, Zongchao Liu, et al.
Sensors (2021) Vol. 21, Iss. 12, pp. 3950-3950
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Structural damage detection based on transfer learning strategy using digital twins of bridges
Shuai Teng, Xuedi Chen, Gongfa Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110160-110160
Closed Access | Times Cited: 55
A systematic review of data fusion techniques for optimized structural health monitoring
Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, et al.
Information Fusion (2023) Vol. 103, pp. 102136-102136
Open Access | Times Cited: 53
Multi-Sensor data fusion in intelligent fault diagnosis of rotating machines: A comprehensive review
Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen
Measurement (2024) Vol. 232, pp. 114658-114658
Closed Access | Times Cited: 35
Towards vibration-based damage detection of civil engineering structures: overview, challenges, and future prospects
Ali Zar, Zahoor Hussain, Muhammad Akbar, et al.
International Journal of Mechanics and Materials in Design (2024) Vol. 20, Iss. 3, pp. 591-662
Open Access | Times Cited: 16
UAV-Based Hyperspectral and Ensemble Machine Learning for Predicting Yield in Winter Wheat
Zongpeng Li, Zhen Chen, Qian Cheng, et al.
Agronomy (2022) Vol. 12, Iss. 1, pp. 202-202
Open Access | Times Cited: 65
Short-term water demand forecast based on automatic feature extraction by one-dimensional convolution
Lei Chen, Hexiang Yan, Jieru Yan, et al.
Journal of Hydrology (2022) Vol. 606, pp. 127440-127440
Closed Access | Times Cited: 43
Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations
Ana Fernández-Navamuel, David Pardo, Filipe Magalhães, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110471-110471
Open Access | Times Cited: 22
Structural damage detection based on convolutional neural networks and population of bridges
Shuai Teng, Xuedi Chen, Gongfa Chen, et al.
Measurement (2022) Vol. 202, pp. 111747-111747
Closed Access | Times Cited: 35
The application of deep learning in bridge health monitoring: a literature review
Guo-Qing Zhang, Bin Wang, Jun Li, et al.
Advances in Bridge Engineering (2022) Vol. 3, Iss. 1
Open Access | Times Cited: 29
An effective framework for real-time structural damage detection using one-dimensional convolutional gated recurrent unit neural network and high performance computing
Tam T. Truong, Jaehong Lee, T. Nguyen‐Thoi
Ocean Engineering (2022) Vol. 253, pp. 111202-111202
Closed Access | Times Cited: 28
A comparative analysis of damage identification methods based on multi-channel data fusion and convolutional neural network for frame structures
Tianli Huang, Tao Liang, Long Chen
Structures (2024) Vol. 61, pp. 106076-106076
Closed Access | Times Cited: 6
Data and Decision Level Fusion-Based Crack Detection for Compressor Blade Using Acoustic and Vibration Signal
Di Song, Tianchi Ma, Yang Li, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 12, pp. 12209-12218
Closed Access | Times Cited: 23
A fishing vessel operational behaviour identification method based on 1D CNN-LSTM
Rongfei Xia, Lijie Xu, Yiqun Xu, et al.
Journal of Navigation (2025), pp. 1-10
Closed Access
Robust structural damage detection with deep multiple instance learning for sensor fault tolerance
Bradley Ezard, Ling Li, Hong Hao, et al.
Engineering Structures (2025) Vol. 331, pp. 119957-119957
Open Access
Two-dimensional convolutional neural network and transfer learning-based multi-stage structural damage quantification using vibration data
Ma Shenglan, Xu Miaoyu, Yuhao Liu, et al.
Structure and Infrastructure Engineering (2025), pp. 1-18
Closed Access
Bayesian-Based Hyperparameter Optimization of 1D-CNN for Structural Anomaly Detection
Xiaofei Li, Hainan Guo, Langxing Xu, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5058-5058
Open Access | Times Cited: 12
A new protection scheme for loss of excitation based on CNN
Maryam Hosseini, Zahra Moravej, Mohammad Pazoki
Electrical Engineering (2025)
Closed Access
Vibration-Based Failure Diagnosis of Warren Truss Structures Using Supervised Machine Learning Techniques
Bambang Sugiantoro, Susilo Adi Widyanto, Achmad Widodo, et al.
International Journal of Mechanical Engineering and Applications (2025) Vol. 13, Iss. 1, pp. 1-26
Open Access
A survey on data fusion approaches in IoT-based smart cities: Smart applications, taxonomies, challenges, and future research directions
Berna Çengiz, Iliyasu Yahya Adam, Mehmet Özdem, et al.
Information Fusion (2025), pp. 103102-103102
Closed Access
A hybrid CNN-BiLSTM approach for remaining useful life prediction of EVs lithium-Ion battery
Dexin Gao, Xin Liu, Zhenyu Zhu, et al.
Measurement and Control (2022) Vol. 56, Iss. 1-2, pp. 371-383
Open Access | Times Cited: 18
Vibration-based structural damage detection using 1-D convolutional neural network and transfer learning
Shuai Teng, Gongfa Chen, Zhaocheng Yan, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 4, pp. 2888-2909
Closed Access | Times Cited: 17
Dynamic response analysis of a model truss bridge considering damage scenarios
Patrícia Vaňová, Zhen Sun, Odin-Eliott Odinson, et al.
Engineering Failure Analysis (2023) Vol. 151, pp. 107389-107389
Open Access | Times Cited: 9
Slope stability analysis based on convolutional neural network and digital twin
Gongfa Chen, Wei Deng, Mansheng Lin, et al.
Natural Hazards (2023) Vol. 118, Iss. 2, pp. 1427-1443
Closed Access | Times Cited: 9
Numerical Simulation and Application of Radial Steel Gate Structure Based on Building Information Modeling under Different Opening Degrees
Shaonan Sun, Zengqiang Zhang, Xiaojie Liu, et al.
Water (2024) Vol. 16, Iss. 5, pp. 636-636
Open Access | Times Cited: 3
Theories, Applications, and Expectations for Magnetic Anomaly Detection Technology: A Review
Huan Liu, Xinglin Zhang, Haobin Dong, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 16, pp. 17868-17882
Closed Access | Times Cited: 8
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