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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:

Developing deep neural network for damage detection of beam-like structures using dynamic response based on FE model and real healthy state
Zohreh Mousavi, Mir Mohammad Ettefagh, Morteza Sadeghi, et al.
Applied Acoustics (2020) Vol. 168, pp. 107402-107402
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Deep Neural Network and Evolved Optimization Algorithm for Damage Assessment in a Truss Bridge
Lan Nguyen-Ngoc, Huu Quyet Nguyen, Guido De Roeck, et al.
Mathematics (2024) Vol. 12, Iss. 15, pp. 2300-2300
Open Access | Times Cited: 22
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
A combined finite element and hierarchical Deep learning approach for structural health monitoring: Test on a pin-joint composite truss structure
Panagiotis Seventekidis, Dimitrios Giagopoulos
Mechanical Systems and Signal Processing (2021) Vol. 157, pp. 107735-107735
Closed Access | Times Cited: 68
Supervised Deep Learning with Finite Element simulations for damage identification in bridges
Ana Fernández-Navamuel, Diego Zamora-Sánchez, Ángel Javier Omella, et al.
Engineering Structures (2022) Vol. 257, pp. 114016-114016
Open Access | Times Cited: 53
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
Structural damage severity classification from time-frequency acceleration data using convolutional neural networks
Maziar Jamshidi, Mamdouh El‐Badry
Structures (2023) Vol. 54, pp. 236-253
Closed Access | Times Cited: 23
A deep learning-based bridge damage detection and localization method
Hongshuo Sun, Song Li, Zhiwu Yu
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110277-110277
Closed Access | Times Cited: 22
Bridge damage identification under varying environmental and operational conditions combining Deep Learning and numerical simulations
Ana Fernández-Navamuel, David Pardo, Filipe Magalhães, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110471-110471
Open Access | Times Cited: 22
A novel CNN architecture for robust structural damage identification via strain measurements and its validation via full-scale experiments
Burak Duran, Dominic Emory, Saeed Eftekhar Azam, et al.
Measurement (2024) Vol. 239, pp. 115393-115393
Closed Access | Times Cited: 11
A review on the applications of artificial neural network techniques for accelerating finite element analysis in the civil engineering domain
Sanduni Jayasinghe, Mojtaba Mahmoodian, Azadeh Alavi, et al.
Computers & Structures (2025) Vol. 310, pp. 107698-107698
Open Access | Times Cited: 1
Advances in artificial intelligence for structural health monitoring: A comprehensive review
Billie F. Spencer, Sung‐Han Sim, Robin E. Kim, et al.
KSCE Journal of Civil Engineering (2025) Vol. 29, Iss. 3, pp. 100203-100203
Open Access | Times Cited: 1
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
Numerical and experimental investigation on creep response of 3D printed Polylactic acid (PLA) samples. Part I: The effect of building direction and unidirectional raster orientation
Mohammad Reza Adibeig, Farid Vakili‐Tahami, Mohammad-Ali Saeimi-Sadigh
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2023) Vol. 145, pp. 106025-106025
Closed Access | Times Cited: 19
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
An intelligent framework of upgraded CapsNets with massive transmissibility data for identifying damage in bridges
Shuai Li, Maosen Cao, Mahmoud Bayat, et al.
Applied Soft Computing (2024) Vol. 155, pp. 111459-111459
Closed Access | Times Cited: 6
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
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
Fast Reverse Design of 4D‐Printed Voxelized Composite Structures Using Deep Learning and Evolutionary Algorithm
Mengtao Wang, Zaiyang Liu, Hidemitsu Furukawa, et al.
Advanced Science (2025)
Open Access
1D-CNN-based damage identification method based on piezoelectric impedance using adjustable inductive shunt circuitry for data enrichment
Xin Zhang, Hui Wang, Borui Hou, et al.
Structural Health Monitoring (2022) Vol. 21, Iss. 5, pp. 1992-2009
Closed Access | Times Cited: 19
Damage identification method of arch bridges using MobileViT and transfer learning
Jingzhou Xin, Liming Jiang, Qin Tang, et al.
Journal of Civil Structural Health Monitoring (2025)
Closed Access
Prognostics and Health Management of Wind Energy Infrastructure Systems
Celalettin Yüce, Ozhan Gecgel, Oğuz Doǧan, et al.
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering (2022) Vol. 8, Iss. 2
Closed Access | Times Cited: 16
Intelligent framework for unsupervised damage detection in bridges using deep convolutional autoencoder with wavelet transmissibility pattern spectra
Shuai Li, Yuxi Cao, E. E. Gdoutos, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111653-111653
Closed Access | Times Cited: 3
Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN
Burak Duran, Saeed Eftekhar Azam, Masoud Sanayei
Infrastructures (2024) Vol. 9, Iss. 12, pp. 229-229
Open Access | Times Cited: 3
Acute Leukemia Diagnosis Based on Images of Lymphocytes and Monocytes Using Type-II Fuzzy Deep Network
Sanam Ansari, Ahmad Habibizad Navin, Amin Babazadeh Sangar, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1116-1116
Open Access | Times Cited: 7
Predicting the shear modulus and damping ratio of soils using machine learning models
Meysam Bayat, Z. Mousavi, Feng Wu
IOP Conference Series Earth and Environmental Science (2024) Vol. 1334, Iss. 1, pp. 012040-012040
Open Access | Times Cited: 2
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