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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:

Bridge Performance Evaluation via Dynamic Fingerprints and Data Fusion
Shuang Sun, Li Liang, Ming Li, et al.
Journal of Performance of Constructed Facilities (2019) Vol. 33, Iss. 2
Closed Access | Times Cited: 14

Showing 14 citing articles:

A decentralized unsupervised structural condition diagnosis approach using deep auto‐encoders
Kejie Jiang, Qiang Han, Xiuli Du, et al.
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 36, Iss. 6, pp. 711-732
Closed Access | Times Cited: 51
Comparative study of a newly proposed machine learning classification to detect damage occurrence in structures
Vahid Ahmadian, Seyed Bahram Beheshti Aval, Mohammad Noori, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107226-107226
Open Access | Times Cited: 16
Unsupervised Structural Damage Detection Technique Based on a Deep Convolutional Autoencoder
Zahra Rastin, Gholamreza Ghodrati Amiri, Ehsan Darvishan
Shock and Vibration (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 37
Fully Automated Operational Modal Identification Using Continuously Monitoring Data of Bridge Structures
Xiaojun Yao, Ting‐Hua Yi, Shaowei Zhao, et al.
Journal of Performance of Constructed Facilities (2021) Vol. 35, Iss. 5
Closed Access | Times Cited: 19
A machine learning approach for health monitoring of a steel frame structure using statistical features of vibration data
Maloth Naresh, Vimal Kumar, Joy Pal
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 1, pp. 39-49
Closed Access | Times Cited: 6
An Improved Dempster–Shafer Evidence Theory Based on the Chebyshev Distance and Its Application in Rock Burst Prewarnings
Faxing Zhang, Liming Zhang, Zhongyuan Liu, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (2023) Vol. 10, Iss. 1
Closed Access | Times Cited: 6
A deep learning-based approach for assessment of bridge condition through fusion of multi-type inspection data
Yuchen Wang, C.S. Cai, Bing Han, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107468-107468
Closed Access | Times Cited: 5
Condition Assessment of Stay Cables via Cloud Evidence Fusion
Shuang Sun, Li Liang, Ming Li
KSCE Journal of Civil Engineering (2021) Vol. 25, Iss. 3, pp. 866-878
Closed Access | Times Cited: 9
A Novel Approach for Structural Damage Detection Using Multi-Headed Stacked Deep Ensemble Learning
Arghavan Asghari, Gholamreza Ghodrati Amiri, Ehsan Darvishan, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 3, pp. 4209-4224
Closed Access | Times Cited: 3
Bridge-bearing disengagement identification based on flexibility matrix diagonal matrix change rate: an indoor physical simulation experiment
Shiji Ma, Lan Qiao, Qingwen Li
Structural Health Monitoring (2023) Vol. 23, Iss. 3, pp. 1949-1968
Closed Access | Times Cited: 3
Reliability Assessment Method for Simply Supported Bridge Based on Structural Health Monitoring of Frequency with Temperature and Humidity Effect Eliminated
Xin He, Guojin Tan, Wenchao Chu, et al.
Sustainability (2022) Vol. 14, Iss. 15, pp. 9600-9600
Open Access | Times Cited: 5
A survey of emerging technologies for the future of routine visual inspection of bridge structures
D.T. Nepomuceno, Paul J. Vardanega, Theo Tryfonas, et al.
CRC Press eBooks (2022), pp. 846-854
Open Access | Times Cited: 4
A joint fraction function regularization model for the structural damage identification
Rongpeng Li, Yilin Wang, Hongwei Jiang, et al.
Advances in Structural Engineering (2023) Vol. 27, Iss. 2, pp. 253-268
Closed Access | Times Cited: 1
Rapid seismic damage assessment using machine learning methods: application to a gantry crane
Qihui Peng, Wenming Cheng, Hongyu Jia, et al.
Structure and Infrastructure Engineering (2021) Vol. 19, Iss. 6, pp. 779-792
Closed Access | Times Cited: 2
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