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:

A fuzzy-set-based joint distribution adaptation method for regression and its application to online damage quantification for structural digital twin
Xuan Zhou, Claudio Sbarufatti, Marco Giglio, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110164-110164
Open Access | Times Cited: 23

Showing 23 citing articles:

Component uncertainty importance measure in complex multi-state system considering epistemic uncertainties
Rentong Chen, Shaoping Wang, Chao Zhang, et al.
Chinese Journal of Aeronautics (2024) Vol. 37, Iss. 12, pp. 31-54
Open Access | Times Cited: 24

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices
D.M.G. Preethichandra, T. G. Suntharavadivel, Pushpitha Kalutara, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8279-8279
Open Access | Times Cited: 18

Energy supplier selection by TOPSIS method based on multi-attribute decision-making by using novel idea of complex fuzzy rough information
Amir Hussain, Kifayat Ullah, Tapan Senapati, et al.
Energy Strategy Reviews (2024) Vol. 54, pp. 101442-101442
Open Access | Times Cited: 5

Damage identification of truss bridges based on feature transferable digital twins
Zhou Huang, Xinfeng Yin, Yang Liu, et al.
Measurement (2024) Vol. 233, pp. 114735-114735
Closed Access | Times Cited: 4

Digital Twin for Health Monitoring of a Cantilever Beam Using Support Vector Machine
Vishnu Harikumar, C. R. Bijudas
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 1
Closed Access

An uncertainty quantification and accuracy enhancement method for deep regression prediction scenarios
Teng Zhang, Fangyu Peng, Rong Yan, et al.
Mechanical Systems and Signal Processing (2025) Vol. 227, pp. 112394-112394
Closed Access

On the influence of attributes for assessing similarity and sharing knowledge in heterogeneous populations of structures
Giulia Delo, Aidan J. Hughes, Cecilia Surace, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112554-112554
Open Access

Formalizing a framework of inference capabilities for Digital Twin engineering
M. Diakite, Mamadou Kaba Traoré
SIMULATION (2024) Vol. 100, Iss. 9, pp. 887-902
Closed Access | Times Cited: 2

Feature structured domain adaptation for quality prediction of cross working conditions in industrial processes
He Ding, Kuangrong Hao, Lei Chen, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 887-900
Closed Access | Times Cited: 2

REMOVED: SAMAS 2: Structural health and ballistic impact monitoring and prognosis on a military helicopter
Vasiliki C. Panagiotopoulou, Claudio Sbarufatti, Marco Giglio
Procedia Structural Integrity (2024) Vol. 54, pp. 482-489
Open Access | Times Cited: 1

Domain adaptation with transfer learning for pasture digital twins
Christos Pylianidis, Michiel Kallenberg, Ioannis N. Athanasiadis
Environmental Data Science (2024) Vol. 3
Open Access | Times Cited: 1

Soft sensor modeling method for Pichia pastoris fermentation process based on substructure domain transfer learning
Bo Wang, Jun Wei, Le Zhang, et al.
BMC Biotechnology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

Development and Optimization of a Novel Soft Sensor Modeling Method for Fermentation Process of Pichia pastoris
Bo Wang, Jun Liu, Ameng Yu, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 6014-6014
Open Access | Times Cited: 4

Digital Twins Fuzzy System Based on Time Series Forecasting Model LFTformer
Jinkang Guo, Zhibo Wan, Zhihan Lv
(2023), pp. 7094-7100
Closed Access | Times Cited: 2

Multimode Sensing in a Whispering Gallery Mode Resonator Enabled by Transfer Machine Learning
Yan Wang, Jin Lu, Yuhao Zhu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 11843-11855
Closed Access

Experimental machine learning approach for building structural health monitoring application
Mohamed Oualid Mghazli, Zineb Zoubir, Antoine Rallu, et al.
Journal of Physics Conference Series (2024) Vol. 2647, Iss. 18, pp. 182031-182031
Open Access

Soft sensor modeling for the fermentation process of Pichia pastoris based on the transfer modeling of substructural domain
Bo Wang, Jun Wei, Le Zhang, et al.
Research Square (Research Square) (2024)
Closed Access

Quantitative method for the probability of structural damage based on moment theory
Qinghe Shi, Bochao Lin, Zhenxian Luo, et al.
Alexandria Engineering Journal (2024) Vol. 108, pp. 984-998
Closed Access

A Formal Framework for Digital Twin Modeling, Verification, and Validation
Mamadou Kaba Traoré, Simon Gorecki, Yves Ducq
Simulation foundations, methods and applications (2024), pp. 119-143
Closed Access

DIGITAL TWIN-BASED DAMAGE QUANTIFICATION ON COMPOSITE STRUCTURES
Dimitrios Milanoski, Georgios Galanopoulos, Dimitrios Zarouchas, et al.
(2023), pp. 899-910
Open Access | Times Cited: 1

Copula-Based Multi-structure Damage Co-diagnosis and Prognosis for the Fleet Maintenance Digital Twin
Xuan Zhou, Claudio Sbarufatti, Marco Giglio, et al.
Mechanisms and machine science (2023), pp. 1349-1357
Closed Access

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