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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:

Structural damage identification with uncertain modelling error and measurement noise by clustering based tree seeds algorithm
Zhenghao Ding, Jun Li, Hong Hao, et al.
Engineering Structures (2019) Vol. 185, pp. 301-314
Closed Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Advances in Tree Seed Algorithm: A Comprehensive Survey
Farhad Soleimanian Gharehchopogh
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 5, pp. 3281-3304
Closed Access | Times Cited: 82
Accurate force evaluation in prestressed cable-strut structures: A robust sparse Bayesian learning method with feedback-driven error optimization
Yao Chen, Haodong Zhou, Jiangjun Gao, et al.
Engineering Structures (2025) Vol. 330, pp. 119878-119878
Closed Access | Times Cited: 5
Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference
Zhenghao Ding, Jun Li, Hong Hao
Mechanical Systems and Signal Processing (2019) Vol. 132, pp. 211-231
Open Access | Times Cited: 95
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: 78
Damage detection of civil structures based on hybrid optimization algorithm and combined correlation function of heterogeneous responses
Guangcai Zhang, Chunfeng Wan, Zhiyuan Yang, et al.
Measurement (2025), pp. 116678-116678
Closed Access | Times Cited: 1
The Bayesian pattern search, a deterministic acceleration of Bayesian model updating in structural health monitoring
Niklas Dierksen, Benedikt Hofmeister, Clemens Hübler
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112259-112259
Open Access | Times Cited: 1
A discrete tree-seed algorithm for solving symmetric traveling salesman problem
Ahmet Cevahir Çınar, Sedat Korkmaz, Mustafa Servet Kıran
Engineering Science and Technology an International Journal (2019) Vol. 23, Iss. 4, pp. 879-890
Open Access | Times Cited: 74
Training Feed-Forward Multi-Layer Perceptron Artificial Neural Networks with a Tree-Seed Algorithm
Ahmet Cevahir Çınar
Arabian Journal for Science and Engineering (2020) Vol. 45, Iss. 12, pp. 10915-10938
Closed Access | Times Cited: 54
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
Damage identification of steel-concrete composite beams based on modal strain energy changes through general regression neural network
Faraz Sadeghi, Yang Yu, Xinqun Zhu, et al.
Engineering Structures (2021) Vol. 244, pp. 112824-112824
Closed Access | Times Cited: 49
A procedure to estimate the Minimum Observable Damage in truss structures using vibration-based Structural Health Monitoring systems
Milad Jahangiri, Antonio Palermo, Soroosh Kamali, et al.
Probabilistic Engineering Mechanics (2023) Vol. 73, pp. 103451-103451
Open Access | Times Cited: 18
A modified Artificial Bee Colony algorithm for structural damage identification under varying temperature based on a novel objective function
Zhenghao Ding, Kangsheng Fu, Wu Deng, et al.
Applied Mathematical Modelling (2020) Vol. 88, pp. 122-141
Open Access | Times Cited: 45
Efficient Bayesian FFT method for damage detection using ambient vibration data with consideration of uncertainty
Feng‐Liang Zhang, Chul‐Woo Kim, Yoshinao Goi
Structural Control and Health Monitoring (2020) Vol. 28, Iss. 2
Open Access | Times Cited: 42
Non-probabilistic method to consider uncertainties in structural damage identification based on Hybrid Jaya and Tree Seeds Algorithm
Zhenghao Ding, Jun Li, Hong Hao
Engineering Structures (2020) Vol. 220, pp. 110925-110925
Closed Access | Times Cited: 40
Bayesian damage identification based on autoregressive model and MH-PSO hybrid MCMC sampling method
Jin Luo, Minshui Huang, Chunyan Xiang, et al.
Journal of Civil Structural Health Monitoring (2022) Vol. 12, Iss. 2, pp. 361-390
Closed Access | Times Cited: 24
Structural damage identification by sparse deep belief network using uncertain and limited data
Zhenghao Ding, Jun Li, Hong Hao
Structural Control and Health Monitoring (2020) Vol. 27, Iss. 5
Open Access | Times Cited: 37
A global-local hybrid strategy with adaptive space reduction search method for structural health monitoring
Guangcai Zhang, Chunfeng Wan, Songtao Xue, et al.
Applied Mathematical Modelling (2023) Vol. 121, pp. 231-251
Closed Access | Times Cited: 11
Reducing false alarms in structural health monitoring systems by exploiting time information via Binomial Distribution Classifier
Soroosh Kamali, Said Quqa, Antonio Palermo, et al.
Mechanical Systems and Signal Processing (2023) Vol. 207, pp. 110938-110938
Closed Access | Times Cited: 11
A Multistrategy Fusion–Improved Black Widow Optimization Algorithm for Structural Damage Identification
Zhen Chen, Wanying Li, Xiaoshuai Liu, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
A diversity enhanced tree-seed algorithm based on double search with genetic and automated learning search strategies for image segmentation
Xianqiu Meng, Gaochao Xu, Xu Xu, et al.
Applied Soft Computing (2025), pp. 113143-113143
Closed Access
An Approach-Driven: Use of Artificial Intelligence and Its Applications in Civil Engineering
Aman Kumar, Navdeep Mor
Studies in big data (2021), pp. 201-221
Closed Access | Times Cited: 25
Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification
Pooya Mohebian, Seyed Bahram Beheshti Aval, Mohammad Noori, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1275-1275
Open Access | Times Cited: 18
A demand-capacity approach to define failure thresholds in anomaly detection monitoring systems
Soroosh Kamali, Alessandro Marzani
Journal of dynamic disasters. (2024) Vol. 1, Iss. 1, pp. 100004-100004
Open Access | Times Cited: 3
Damage localization using a deep learning-based response modeling method
Chengbin Chen, Liqun Tang, Qingkai Xiao, et al.
Computers & Structures (2025) Vol. 310, pp. 107697-107697
Closed Access
Damage detection on an unsymmetrical frame using sparse Bayesian learning incorporated with variational inference and improved PSO algorithm
Qin Hu, Nanfei Zhou, Zhouchen Lin, et al.
Structures (2025) Vol. 77, pp. 109063-109063
Closed Access
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