Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Deep learning-based reconstruction of missing long-term girder-end displacement data for suspension bridge health monitoring
Zhi-wei Wang, Xiao-fan Lu, Wenming Zhang, et al.
Computers & Structures (2023) Vol. 284, pp. 107070-107070
Closed Access | Times Cited: 20

Showing 20 citing articles:

Deep learning-based prediction of wind-induced lateral displacement response of suspension bridge decks for structural health monitoring
Zhi-wei Wang, Xiao-fan Lu, Wenming Zhang, et al.
Journal of Wind Engineering and Industrial Aerodynamics (2024) Vol. 247, pp. 105679-105679
Closed Access | Times Cited: 8
Recovery Method of Continuous Missing Data in the Bridge Monitoring System Using SVMD‐Assisted TCN–MHA–BiGRU
Jingzhou Xin, X. H. Mo, Yan Jiang, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
Nonuniform data loss reconstruction based on time-series-specialized neural networks for structural health monitoring
Peng Liu, Zhiyi Tang, Changxing Zhang, et al.
Structural Health Monitoring (2025)
Closed Access
Dynamic data reconstruction of Structural Health Monitoring (SHM) using VMD And Depthwise-1D-CNN
K.H. Lee, Mohd Zamri Ramli, Norhisham Bakhary, et al.
IOP Conference Series Earth and Environmental Science (2025) Vol. 1467, Iss. 1, pp. 012016-012016
Open Access
Enhancing SHM data reconstruction with MA-CNN-BiLSTM: A deep learning approach for missing acceleration responses
Yong Liu, Stefano Di Carlo, Wei Ji, et al.
Structures (2025) Vol. 75, pp. 108693-108693
Closed Access
Research on the beam-end regional deformation of long-span suspension bridges and train operating performance
Ming Wang, Chufeng Wang, Haonan He, et al.
Engineering Structures (2025) Vol. 327, pp. 119589-119589
Closed Access
Multi-band spectral-temporal deep learning network for structural dynamic data forecasting aided by signal decomposition and bandpass filtering
Wei Shen, Yuguang Fu, Xinhao He, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103204-103204
Closed Access
A Data Recovery Method for Extra-Long-Span Railway Bridge Health Monitoring Based on TVFEMD and CNN-GRU
Changshun Hao, Baodong Liu, Yan Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086139-086139
Closed Access | Times Cited: 2
Deep recurrent-convolutional neural network learning and physics Kalman filtering comparison in dynamic load identification
Marios Impraimakis
Structural Health Monitoring (2024)
Open Access | Times Cited: 2
Train-induced longitudinal motion in suspension bridges: Synergetic control with eddy current damping and frictional damping
Zhouquan Feng, Yuhuan Zhang, Haokun Jing, et al.
Structures (2024) Vol. 71, pp. 108002-108002
Closed Access | Times Cited: 2
Transformer-Enhanced Traffic Load Simulation for Wear Evaluation of Bridge Expansion Joint
Yiqing Dong, Yue Pan, Dalei Wang, et al.
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Temperature history reconstruction in steel box girders using limited data and proper orthogonal decomposition-based dimension reduction representation
Jing Hao, Hailin Lu, Hongyou Cao, et al.
Measurement (2024) Vol. 240, pp. 115545-115545
Closed Access | Times Cited: 1
Simultaneous Recovery Model for Missing Multiple-Source Structural Health Monitoring Data of a Quayside Container Crane
Jiahui Liu, Jian Zhao, Dong Zhao, et al.
Journal of Performance of Constructed Facilities (2024) Vol. 38, Iss. 6
Closed Access | Times Cited: 1
Analytical solutions for static longitudinal displacements of suspension bridges under a moving vertical concentrated load
Haokun Jing, Zhouquan Feng, Zhi Chen, et al.
Engineering Structures (2024) Vol. 320, pp. 118871-118871
Closed Access | Times Cited: 1
A Hybrid Approach of Long Short-Term Memory and Machine Learning with Acoustic Emission Sensors for Structural Damage Localization
Yun-Woo Lee, Jae Hyuk Lee, Jin-Seop Kim, et al.
(2024)
Closed Access
Missing Data Recovery for Offshore Wind Turbines using Variational Autoencoders
Mingqiang Xu, Yusen Liu, Li Chen, et al.
(2024), pp. 356-360
Closed Access
An Adaptive Missing Data Restoration Method for UAV Confrontation Based on Deep Regression Model
Huan Wang, Xu Zhou, Xiaofeng Liu
Neural Processing Letters (2024) Vol. 56, Iss. 5
Open Access
Time-convolutional network with joint time-frequency domain loss based on arithmetic optimization algorithm for dynamic response reconstruction
Guang Qu, Mingming Song, Gongfeng Xin, et al.
Engineering Structures (2024) Vol. 321, pp. 119001-119001
Closed Access
Deep learning-based approach for identifying vortex-induced vibrations in stay cables
Jian Guo, Renjie Mao, Kaijiang Ma, et al.
Advances in Structural Engineering (2024)
Closed Access
A novel data-driven bridge monitoring data prediction framework using improved intelligent optimization-assisted deep learning
Zhenwei Zhou, Ke Ding, Guangcai Zhang, et al.
Structural Health Monitoring (2024)
Closed Access
Page 1

Scroll to top