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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:

New method for modal identification of super high-rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms
Zhijun Li, Hyo Seon Park, Hojjat Adeli
The Structural Design of Tall and Special Buildings (2016) Vol. 26, Iss. 3, pp. e1312-e1312
Closed Access | Times Cited: 139

Showing 1-25 of 139 citing articles:

Structural Damage Detection with Automatic Feature‐Extraction through Deep Learning
Yizhou Lin, Zhenhua Nie, Hongwei Ma
Computer-Aided Civil and Infrastructure Engineering (2017) Vol. 32, Iss. 12, pp. 1025-1046
Closed Access | Times Cited: 527
A novel unsupervised deep learning model for global and local health condition assessment of structures
Mohammad Hossein Rafiei, Hojjat Adeli
Engineering Structures (2017) Vol. 156, pp. 598-607
Closed Access | Times Cited: 341
Vibration‐based structural state identification by a 1‐dimensional convolutional neural network
Youqi Zhang, Yasunori Miyamori, Shuichi Mikami, et al.
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 34, Iss. 9, pp. 822-839
Closed Access | Times Cited: 245
Recurrent neural network model with Bayesian training and mutual information for response prediction of large buildings
Carlos A. Perez-Ramirez, Juan P. Amézquita-Sánchez, Martin Valtierra‐Rodriguez, et al.
Engineering Structures (2018) Vol. 178, pp. 603-615
Closed Access | Times Cited: 212
Structural health monitoring using extremely compressed data through deep learning
Mohsen Azimi, Gökhan Pekcan
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 35, Iss. 6, pp. 597-614
Closed Access | Times Cited: 179
Noncontact cable force estimation with unmanned aerial vehicle and computer vision
Yongding Tian, Cheng Zhang, Shang Jiang, et al.
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 36, Iss. 1, pp. 73-88
Closed Access | Times Cited: 138
State-of-the-art review on advancements of data mining in structural health monitoring
Meisam Gordan, Saeed-Reza Sabbagh-Yazdi, Zubaidah Ismail, et al.
Measurement (2022) Vol. 193, pp. 110939-110939
Closed Access | Times Cited: 126
A novel end‐to‐end deep learning scheme for classifying multi‐class motor imagery electroencephalography signals
Ahmad Hassanpour, Majid Moradikia, Hojjat Adeli, et al.
Expert Systems (2019) Vol. 36, Iss. 6
Closed Access | Times Cited: 132
Convolutional neural network‐based wind‐induced response estimation model for tall buildings
Byung Kwan Oh, Branko Glišić, Yousok Kim, et al.
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 34, Iss. 10, pp. 843-858
Open Access | Times Cited: 99
Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures
Rih‐Teng Wu, Ankush Singla, Mohammad R. Jahanshahi, et al.
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 34, Iss. 9, pp. 774-789
Closed Access | Times Cited: 87
Vibration‐based semantic damage segmentation for large‐scale structural health monitoring
Seyed Omid Sajedi, Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2019) Vol. 35, Iss. 6, pp. 579-596
Closed Access | Times Cited: 81
Multicategory damage detection and safety assessment of post‐earthquake reinforced concrete structures using deep learning
Dujian Zou, Ming Zhang, Zhilin Bai, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 9, pp. 1188-1204
Closed Access | Times Cited: 60
Large‐scale structural health monitoring using composite recurrent neural networks and grid environments
Kareem Eltouny, Xiao Liang
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 3, pp. 271-287
Closed Access | Times Cited: 57
Multifidelity approach for data‐driven prediction models of structural behaviors with limited data
Shi‐Zhi Chen, De‐Cheng Feng
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 12, pp. 1566-1581
Closed Access | Times Cited: 48
A Time Series Forecasting Approach Based on Nonlinear Spiking Neural Systems
Lifan Long, Qian Liu, Hong Peng, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 08
Closed Access | Times Cited: 48
Toward a general unsupervised novelty detection framework in structural health monitoring
Mohammad Hesam Soleimani‐Babakamali, Reza Sepasdar, Kourosh Nasrollahzadeh, et al.
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 37, Iss. 9, pp. 1128-1145
Closed Access | Times Cited: 45
Deep convolutional generative adversarial networks for the generation of numerous artificial spectrum‐compatible earthquake accelerograms using a limited number of ground motion records
Mehrshad Matinfar, Naser Khaji, Goodarz Ahmadi
Computer-Aided Civil and Infrastructure Engineering (2022) Vol. 38, Iss. 2, pp. 225-240
Closed Access | Times Cited: 41
Vision‐based real‐time marine and offshore structural health monitoring system using underwater robots
Pengcheng Jiao, Xinghong Ye, Chenjie Zhang, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 39, Iss. 2, pp. 281-299
Closed Access | Times Cited: 34
Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results
Tatsuro Yamane, Pang-jo CHUN, Ji Dang, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 17, pp. 2391-2407
Open Access | Times Cited: 32
Large‐scale building damage assessment using a novel hierarchical transformer architecture on satellite images
Navjot Kaur, Cheng‐Chun Lee, Ali Mostafavi, et al.
Computer-Aided Civil and Infrastructure Engineering (2023) Vol. 38, Iss. 15, pp. 2072-2091
Open Access | Times Cited: 30
An integrated deep neural network model combining 1D CNN and LSTM for structural health monitoring utilizing multisensor time-series data
Mohammadreza Ahmadzadeh, Seyed Mehdi Zahrai, Maryam Bitaraf
Structural Health Monitoring (2024)
Closed Access | Times Cited: 9
A Bayesian Probabilistic Approach for Acoustic Emission‐Based Rail Condition Assessment
Junfang Wang, Xiao Zhou Liu, Yi‐Qing Ni
Computer-Aided Civil and Infrastructure Engineering (2017) Vol. 33, Iss. 1, pp. 21-34
Closed Access | Times Cited: 79
Control methodologies for vibration control of smart civil and mechanical structures
Zhijun Li, Hojjat Adeli
Expert Systems (2018) Vol. 35, Iss. 6
Closed Access | Times Cited: 69
Cable force estimation of a long‐span cable‐stayed bridge with microwave interferometric radar
Wenju Zhao, Guangwei Zhang, Jian Zhang
Computer-Aided Civil and Infrastructure Engineering (2020) Vol. 35, Iss. 12, pp. 1419-1433
Open Access | Times Cited: 68
Pavement Crack Width Measurement Based on Laplace's Equation for Continuity and Unambiguity
Wenjuan Wang, Allen Zhang, Kelvin C. P. Wang, et al.
Computer-Aided Civil and Infrastructure Engineering (2017) Vol. 33, Iss. 2, pp. 110-123
Closed Access | Times Cited: 64
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