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:

Classification and regression-based convolutional neural network and long short-term memory configuration for bridge damage identification using long-term monitoring vibration data
Fadel Yessoufou, Jinsong Zhu
Structural Health Monitoring (2023) Vol. 22, Iss. 6, pp. 4027-4054
Closed Access | Times Cited: 24

Showing 24 citing articles:

A hybrid GRU and LSTM-based deep learning approach for multiclass structural damage identification using dynamic acceleration data
T. K. Das, Shyamal Guchhait
Engineering Failure Analysis (2025), pp. 109259-109259
Closed Access | Times Cited: 1
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
Data-driven approaches linking wastewater and source estimation hazardous waste for environmental management
Wenjun Xie, Qingyuan Yu, Wen Fang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Enhanced bridge damage assessment via data-model coupling driven approach with vibration signals
Jinfeng Wang, Yutong Wang, Keyu Wan, et al.
Structure and Infrastructure Engineering (2025), pp. 1-20
Closed Access
Unsupervised transfer learning for monitoring CFRP responses using discrete strains
Yan Huai, Songhe Meng, Bo Gao, et al.
International Journal of Mechanical Sciences (2025), pp. 110142-110142
Closed Access
A digital twin-driven machine learning framework for structural condition monitoring using multi-datasets
George Karyofyllas, Dimitrios Giagopoulos, Xinyu Jia, et al.
Structural Health Monitoring (2025)
Closed Access
Damage Quantification Method for Aircraft Structures Based on Multitask CNN-LSTM and Transfer Learning
Weihan Shao, Hu Sun, Yishou Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 6, pp. 9217-9228
Closed Access | Times Cited: 3
Application of Response Surface-Corrected Finite Element Model and Bayesian Neural Networks to Predict the Dynamic Response of Forth Road Bridges under Strong Winds
Yan Liu, Xiaolin Meng, Liangliang Hu, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2091-2091
Open Access | Times Cited: 2
Composite encoder–decoder network for rapid bridge damage assessment using long-term monitoring acceleration data
Fadel Yessoufou, Yibo Yang, Jinsong Zhu
Structural Health Monitoring (2024) Vol. 23, Iss. 6, pp. 3387-3415
Closed Access | Times Cited: 1
Delamination and crack detection and localization of a laminated composite plate structure using regression and regression-based neural network methods
Majid Ghazali, Morteza Karamooz Mahdiabadi
Mechanics Based Design of Structures and Machines (2024) Vol. 52, Iss. 11, pp. 9479-9503
Closed Access | Times Cited: 1
Meta-model structural monitoring with cutting-edge AAE-VMD fusion alongside optimized machine learning methods
Sahar Hassani
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
Intelligent hybrid approaches utilizing time series forecasting error for enhanced structural health monitoring
Hossein Safar Yousefifard, Gholamreza Ghodrati Amiri, Ehsan Darvishan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112177-112177
Closed Access | Times Cited: 1
УСПЕХИ В МОНИТОРИНГЕ СОСТОЯНИЯ КОНСТРУКЦИЙ: ОБЗОР ПОДХОДОВ МАШИННОГО ОБУЧЕНИЯ ДЛЯ ОБНАРУЖЕНИЯ И ОЦЕНКИ ПОВРЕЖДЕНИЙ
Muhammad Numan
International Journal for Computational Civil and Structural Engineering (2024) Vol. 20, Iss. 1, pp. 124-142
Open Access
Structural damage classification under varying environmental conditions and unknown classes via open set domain adaptation
M. Zhou, Zhilu Lai
Mechanical Systems and Signal Processing (2024) Vol. 218, pp. 111561-111561
Closed Access
Intelligent Hybrid Approaches Utilizing Time Series Forecasting Error for Enhanced Structural Health Monitoring
Hossein Safar Yousefifard, Gholamreza Ghodrati Amiri, Ehsan Darvishan, et al.
(2024)
Closed Access
Graph Feature Refinement and Fusion in Transformer for Structural Damage Detection
Tianjie Hu, Kejian Ma, Jianchun Xiao
Sensors (2024) Vol. 24, Iss. 13, pp. 4415-4415
Open Access
Monitoring and assessing concrete member states using implantable sensing technology and enhanced long short-term memory networks
Qingzhao Kong, Yewei Ding, Bin Ma, et al.
Structural Health Monitoring (2024)
Closed Access
Damage detection and classification of carbon fiber-reinforced polymer composite materials based on acoustic emission and convolutional recurrent neural network
Yun‐Fei Shao, Fuping Guo, Peng Jiang, et al.
Structural Health Monitoring (2024)
Closed Access
Bridge damage location and quantification under the moving vehicle loads based on deep learning multi-objective regression
Liuqi Ying, Chengyang Zhang, Guogang Ying
Engineering Structures (2024) Vol. 320, pp. 118904-118904
Closed Access
Reliability-Centric Maintenance Planning for Bridge Infrastructure: A Novel Method Based on Improved Electric Fish Optimization
Yiming Wang, Yuxin Wang, Jun-sheng Ni, et al.
Buildings (2024) Vol. 14, Iss. 11, pp. 3583-3583
Open Access
Damage identification based on the inner product matrix and parallel convolution neural network for frame structure
Yingying He, Feng Ji, Bao‐Gang Sun, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Bridge damage detection based on vehicle scanning method and parallel convolutional neural network
Wanli Yan, Xinfeng Yin, Yong Liu, et al.
Measurement (2024), pp. 116563-116563
Closed Access
Damage identification for Cable-Stayed model bridges on shaking Table based on joint CNN & LSTM with Multi-Channel and Multi-Scale
Deshan Shan, Rui Sun, Khee Ming Tan
Measurement (2024), pp. 116572-116572
Closed Access
Deep Residual Convolutional Long Short-term Memory Network for Option Price Prediction Problem
Artur Dossatayev, Ainur Manapova, Батырхан Омаров
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 9
Open Access
Page 1

Scroll to top