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 neural networks–based damage detection using vibration signals of finite element model and real intact state: An evaluation via a lab-scale offshore jacket structure
Zohreh Mousavi, Sina Varahram, Mir Mohammad Ettefagh, et al.
Structural Health Monitoring (2020) Vol. 20, Iss. 1, pp. 379-405
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

A new fault diagnosis method based on adaptive spectrum mode extraction
Zhijian Wang, Ningning Yang, Naipeng Li, et al.
Structural Health Monitoring (2021) Vol. 20, Iss. 6, pp. 3354-3370
Closed Access | Times Cited: 103
Difference mode decomposition for adaptive signal decomposition
Bingchang Hou, Dong Wang, Tangbin Xia, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110203-110203
Closed Access | Times Cited: 46
Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images
Sobhan Sheykhivand, Zohreh Mousavi, Sina Mojtahedi, et al.
Alexandria Engineering Journal (2021) Vol. 60, Iss. 3, pp. 2885-2903
Open Access | Times Cited: 73
COVID-19 detection using chest X-ray images based on a developed deep neural network
Zohreh Mousavi, Nahal Shahini, Sobhan Sheykhivand, et al.
SLAS TECHNOLOGY (2022) Vol. 27, Iss. 1, pp. 63-75
Open Access | Times Cited: 51
Machine learning based condition monitoring for gear transmission systems using data generated by optimal multibody dynamics models
Josef Koutsoupakis, Panagiotis Seventekidis, Dimitrios Giagopoulos
Mechanical Systems and Signal Processing (2023) Vol. 190, pp. 110130-110130
Closed Access | Times Cited: 30
Condition monitoring framework for damage identification in CFRP rotating shafts using Model-Driven Machine learning techniques
George Karyofyllas, Dimitrios Giagopoulos
Engineering Failure Analysis (2024) Vol. 158, pp. 108052-108052
Closed Access | Times Cited: 10
Gas leak detection in galvanised steel pipe with internal flow noise using convolutional neural network
Yanjue Song, Suzhen Li
Process Safety and Environmental Protection (2020) Vol. 146, pp. 736-744
Closed Access | Times Cited: 57
Automatic Detection of Driver Fatigue Based on EEG Signals Using a Developed Deep Neural Network
Sobhan Sheykhivand, Tohid Yousefi Rezaii, Zohreh Mousavi, et al.
Electronics (2022) Vol. 11, Iss. 14, pp. 2169-2169
Open Access | Times Cited: 33
Damage identification using wave damage interaction coefficients predicted by deep neural networks
Christoph Humer, Simon Höll, Christoph Kralovec, et al.
Ultrasonics (2022) Vol. 124, pp. 106743-106743
Open Access | Times Cited: 28
A digital twin-based framework for damage detection of a floating wind turbine structure under various loading conditions based on deep learning approach
Zohreh Mousavi, Sina Varahram, Mir Mohammad Ettefagh, et al.
Ocean Engineering (2023) Vol. 292, pp. 116563-116563
Closed Access | Times Cited: 18
A data-driven approach for scour detection around monopile-supported offshore wind turbines using Naive Bayes classification
Satish Jawalageri, Ramin Ghiasi, Soroosh Jalilvand, et al.
Marine Structures (2024) Vol. 95, pp. 103565-103565
Closed Access | Times Cited: 7
Dictionary learning-based damage detection under varying environmental conditions using only vibration responses of numerical model and real intact State: Verification on an experimental offshore jacket model
Zohreh Mousavi, Sina Varahram, Mir Mohammad Ettefagh, et al.
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109567-109567
Open Access | Times Cited: 25
Model error effects in supervised damage identification of structures with numerically trained classifiers
Panagiotis Seventekidis, Dimitrios Giagopoulos
Mechanical Systems and Signal Processing (2022) Vol. 184, pp. 109741-109741
Closed Access | Times Cited: 23
DT2F-TLNet: A novel text-independent writer identification and verification model using a combination of deep type-2 fuzzy architecture and Transfer Learning networks based on handwriting data
Jing Yang, Mohammad Shokouhifar, Lip Yee Por, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122704-122704
Closed Access | Times Cited: 14
Damage detection of jacket platforms through improved stacked autoencoder and softmax classifier
Ankai Wei, Sheng Guan, Na Wang, et al.
Ocean Engineering (2024) Vol. 306, pp. 118036-118036
Closed Access | Times Cited: 5
Application of the Fast-Marching Algorithm for Multi-sensor Network Data Analysis
Xuan-Kien Dang, Luu Hoang Minh, Viet-Dung Do
Lecture notes in civil engineering (2025), pp. 11-21
Closed Access
Damage Identification Using Measured and Simulated Guided Wave Damage Interaction Coefficients Predicted Ad Hoc by Deep Neural Networks
Christoph Humer, Simon Hoell, Martin Schagerl
Sensors (2025) Vol. 25, Iss. 6, pp. 1681-1681
Open Access
An Automatic Damage Detection Method Based on Adaptive Theory-Assisted Reinforcement Learning
Chengwen Zhang, Qing Chun, Yijie Lin
Engineering (2025)
Open Access
Crack identification of compressor blades based on directivity factor decomposition model
Wu Gao, Ping Ren, Wanyou Li, et al.
Physics of Fluids (2025) Vol. 37, Iss. 4
Closed Access
AI-based condition monitoring on mechanical systems using multibody dynamics models
Josef Koutsoupakis, Dimitrios Giagopoulos, Iraklis Chatziparasidis
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106467-106467
Closed Access | Times Cited: 12
A Comparative Analysis of Deep Learning Convolutional Neural Network Architectures for Fault Diagnosis of Broken Rotor Bars in Induction Motors
Kevin Barrera, Jordi Burriel-Valencia, Ángel Sapena-Bañó, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8196-8196
Open Access | Times Cited: 12
Deep predictions and transfer learning for simulation-driven structural health monitoring based on guided waves
Simon Höll, Christoph Humer
Expert Systems with Applications (2023) Vol. 238, pp. 122133-122133
Closed Access | Times Cited: 12
A chaos game Optimization-based model updating technique for structural damage identification under incomplete noisy measurements and temperature variations
D. Dinh-Cong, T. Nguyen‐Thoi
Structures (2023) Vol. 48, pp. 1271-1284
Closed Access | Times Cited: 11
Quasi-static simulation and fatigue life estimation of fused filament fabrication of polylactic acid specimens using finite element method
Mohammad Reza Adibeig, Mohammad-Ali Saeimi-Sadigh, Farid Vakili‐Tahami, et al.
Journal of Manufacturing Processes (2023) Vol. 106, pp. 202-213
Closed Access | Times Cited: 11
Damage Identification in Steel Girders of Highway Bridges Utilizing Vibration Based Methods and Convolution Neural Network in the Presence of Noise
Sara Zalaghi, Armin Aziminejad, H. Rahami, et al.
Journal of Nondestructive Evaluation (2024) Vol. 43, Iss. 2
Closed Access | Times Cited: 4
Page 1 - Next Page

Scroll to top