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:

An efficient approach for damage identification based on improved machine learning using PSO-SVM
Thanh Cuong‐Le, Trong Nghia-Nguyen, Samir Khatir, et al.
Engineering With Computers (2021) Vol. 38, Iss. 4, pp. 3069-3084
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC)
Ahmet Karaman, İshak Paçal, Alper Baştürk, et al.
Expert Systems with Applications (2023) Vol. 221, pp. 119741-119741
Closed Access | Times Cited: 61

Structure damage identification in dams using sparse polynomial chaos expansion combined with hybrid K-means clustering optimizer and genetic algorithm
Yifei Li, Hoang-Le Minh, Samir Khatir, et al.
Engineering Structures (2023) Vol. 283, pp. 115891-115891
Closed Access | Times Cited: 51

RTSMFFDE-HKRR: A fault diagnosis method for train bearing in noise environment
Deqiang He, Zhihao Zhang, Zhenzhen Jin, et al.
Measurement (2024) Vol. 239, pp. 115417-115417
Closed Access | Times Cited: 25

A novel unsupervised deep learning approach for vibration-based damage diagnosis using a multi-head self-attention LSTM autoencoder
Shayan Ghazimoghadam, S.A.A. Hosseinzadeh
Measurement (2024) Vol. 229, pp. 114410-114410
Closed Access | Times Cited: 18

A hybrid PSO and Grey Wolf Optimization algorithm for static and dynamic crack identification
Faisal Al Thobiani, Samir Khatir, Brahim Benaissa, et al.
Theoretical and Applied Fracture Mechanics (2021) Vol. 118, pp. 103213-103213
Closed Access | Times Cited: 82

Review of Machine-Learning Techniques Applied to Structural Health Monitoring Systems for Building and Bridge Structures
Alain Gomez-Cabrera, Ponciano Jorge Escamilla-Ambrosio
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10754-10754
Open Access | Times Cited: 55

The State of the Art of Artificial Intelligence Approaches and New Technologies in Structural Health Monitoring of Bridges
Raffaele Zinno, Sina Shaffiee Haghshenas, Giuseppe Guido, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 97-97
Open Access | Times Cited: 50

Algorithms and Techniques for the Structural Health Monitoring of Bridges: Systematic Literature Review
Omar S. Sonbul, Muhammad Rashid
Sensors (2023) Vol. 23, Iss. 9, pp. 4230-4230
Open Access | Times Cited: 24

An efficient improved Gradient Boosting for strain prediction in Near-Surface Mounted fiber-reinforced polymer strengthened reinforced concrete beam
Abdelwahhab Khatir, Roberto Capozucca, Samir Khatir, et al.
Frontiers of Structural and Civil Engineering (2024) Vol. 18, Iss. 8, pp. 1148-1168
Closed Access | Times Cited: 8

A variable velocity strategy particle swarm optimization algorithm (VVS-PSO) for damage assessment in structures
Hoang-Le Minh, Samir Khatir, R. Venkata Rao, et al.
Engineering With Computers (2021) Vol. 39, Iss. 2, pp. 1055-1084
Closed Access | Times Cited: 50

A novel version of grey wolf optimizer based on a balance function and its application for hyperparameters optimization in deep neural network (DNN) for structural damage identification
Thanh Cuong‐Le, Hoang-Le Minh, Thanh Sang-To, et al.
Engineering Failure Analysis (2022) Vol. 142, pp. 106829-106829
Open Access | Times Cited: 28

From data to insight, enhancing structural health monitoring using physics-informed machine learning and advanced data collection methods
Syed Haider Mehdi Rizvi, Muntazir Abbas
Engineering Research Express (2023) Vol. 5, Iss. 3, pp. 032003-032003
Open Access | Times Cited: 17

Data-driven crack image-based seismic failure mode identification for damaged RC columns
Samira Azhari, Mohammadjavad Hamidia
Engineering Failure Analysis (2024) Vol. 160, pp. 108160-108160
Closed Access | Times Cited: 6

Identification of damage in steel beam by natural frequency using machine learning algorithms
Van Tuan Vu, Do Van Thom, Trung Duc Tran
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024)
Closed Access | Times Cited: 6

Intrusion detection using metaheuristic optimization within IoT/IIoT systems and software of autonomous vehicles
Pavle Dakić, Miodrag Živković, Luka Jovanovic, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6

Thermo-Elastic Vibration Analysis of Acoustic Liners Using Polymer-Metal Nanocomposites: Prediction and Optimization of Hybrid Deep Neural Network and Cuckoo Search Algorithm
T. J. Prasannakumar, K. SivajiBabu, B. Durgaprasad
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 1
Closed Access

Enhancing understanding of asphalt mixture dynamic modulus prediction through interpretable machine learning method
Ke Zhang, Zhaohui Min, Xiatong Hao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103111-103111
Closed Access

PSO-random forest approach to enhance flood-prone area identification: using ground and remote sensing data (case study: Ottawa-Gatineau)
Maedeh Mosalla Tabari, Hamid Ebadi, Zahra Alizadeh Zakaria
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access

Damage detection in steel beams using natural frequency analysis and machine learning techniques
Van Tuan Vu, Do Van Thom, Nguyen Tien Khiem, et al.
The Journal of Strain Analysis for Engineering Design (2025)
Closed Access

Solar radiation estimation in different climates with meteorological variables using Bayesian model averaging and new soft computing models
Guodao Zhang, Shahab S. Band, Changhyun Jun, et al.
Energy Reports (2021) Vol. 7, pp. 8973-8996
Open Access | Times Cited: 32

Application of KRR, K-NN and GPR Algorithms for Predicting the Soaked CBR of Fine-Grained Plastic Soils
Gaurav Verma, Brind Kumar, Chintoo Kumar, et al.
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 10, pp. 13901-13927
Open Access | Times Cited: 15

Multiclass Supervised Machine Learning Algorithms Applied to Damage and Assessment Using Beam Dynamic Response
Amanda Aryda Silva Rodrigues de Sousa, Jefferson da Silva Coelho, Marcela Machado, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 11, Iss. 6, pp. 2709-2731
Open Access | Times Cited: 12

Damage Identification Algorithm of Bridge Structure Based on Machine Learning
Baoshun Liu
Sustainable civil infrastructures (2025), pp. 61-71
Closed Access

Multidimensional dominant mapping eigenvalues fusion-driven method for structural damage identification and crack tip energy characterization
Lin Zhu, Junhao Wang, Min Chen, et al.
Structures (2025) Vol. 72, pp. 108266-108266
Closed Access

Application of Machine Learning in Predicting Achievements in College Physics Education
Songjie Wu
Smart innovation, systems and technologies (2025), pp. 401-411
Closed Access

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