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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:

Hysteresis in Engineering Systems
Mohammad Noori, Wael A. Altabey
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9428-9428
Open Access | Times Cited: 18

Showing 18 citing articles:

A comprehensive study of a long-term creep thermo-mechanical fatigue behavior monitoring of BFRP composite pipeline using electrical capacitance sensors and deep learning algorithm
Wael A. Altabey
International Journal of Fatigue (2024) Vol. 184, pp. 108277-108277
Closed Access | Times Cited: 8
A deep-learning approach for predicting water absorption in composite pipes by extracting the material’s dielectric features
Wael A. Altabey, Mohammad Noori, Zhishen Wu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 105963-105963
Open Access | Times Cited: 17
Studying Acoustic Behavior of BFRP Laminated Composite in Dual-Chamber Muffler Application Using Deep Learning Algorithm
Wael A. Altabey, Mohammad Noori, Zhishen Wu, et al.
Materials (2022) Vol. 15, Iss. 22, pp. 8071-8071
Open Access | Times Cited: 17
Research of pavement crack detection system based on image processing
Yanliang Xu, Chuanyue Zhang, Shi Gongzuo, et al.
(2023), pp. 4-4
Closed Access | Times Cited: 9
Damage identification in bridges based on WPECD transform
Weixing Hong, Hanxi Li, Yanliang Xu, et al.
Engineering for Rural Development (2023)
Open Access | Times Cited: 9
Monitoring of Bridges Damage Based on the System Transfer Function Maps from Sensors Datasets
Dangui Guo, Weixing Hong, Wael A. Altabey
Lecture notes in civil engineering (2023), pp. 71-81
Closed Access | Times Cited: 9
Bridges Damage Assessment Techniques Improvement Through Machine Learning Algorithm
Liping Zhou, Weixing Hong, Wael A. Altabey
Lecture notes in civil engineering (2023), pp. 82-92
Closed Access | Times Cited: 9
Research in Image Processing for Pipeline Crack Detection Applications
Wael A. Altabey, Sallam A. Kouritem, Mohammed Abouheaf, et al.
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (2022), pp. 1-6
Closed Access | Times Cited: 12
Knowledge and data fusion-driven dynamical modeling approach for structures with hysteresis-affected uncertain boundaries
Chao Chen, Yilong Wang, Shuai Chen, et al.
Nonlinear Dynamics (2024)
Closed Access | Times Cited: 2
A Numerical Comparison between Preisach, J-A and D-D-D Hysteresis Models in Computational Electromagnetics
Valerio De Santis, Antonio Di Francesco, Alessandro Giuseppe D’Aloia
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5181-5181
Open Access | Times Cited: 6
A Deep Learning-Based Approach for Pipeline Cracks Monitoring
Wael A. Altabey, Sallam A. Kouritem, Mohammed Abouheaf, et al.
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) (2022), pp. 1-6
Closed Access | Times Cited: 10
DEEP LEARNING-BASED CRACK, LOCATION AND AREA IDENTIFICATION FOR A PIPELINE BY THE CONVOLUTIONAL NEURAL NETWORK BASED ON CRACK CONTOUR NETWORK METHOD
Wael A. Altabey, Mohammad Noori, Zhishen Wu
COMPDYN Proceedings (2023), pp. 3357-3368
Open Access | Times Cited: 5
An Alternative Formulation of the Harrison Model
Krzysztof Chwastek, P. Gębara, A. Przybył, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 12009-12009
Open Access | Times Cited: 3
EFFECTIVE TECHNIQUE FOR STRUCTURES DAMAGE DETECTION BASED ON THE STRUCTURAL FREQUENCY MAPS
Wael A. Altabey, Mohammad Noori, Zhishen Wu, et al.
COMPDYN Proceedings (2023), pp. 3369-3378
Open Access | Times Cited: 2
Improving Deep Learning Anomaly Diagnostics with a Physics-Based Simulation Model
Teemu Mäkiaho, Kari Koskinen, Jouko Laitinen
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 800-800
Open Access
An Extreme Learning Machine for the Simulation of Different Hysteretic Behaviors
Mojtaba Farrokh, Farzaneh Ghasemi, Mohammad Noori, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12424-12424
Open Access | Times Cited: 3
A new hysteresis simulation method for interpreting the magnetic properties of non-oriented electrical steels
Z. Zhang, Hamed Hamzehbahmani, Philip Gaskell
Journal of Magnetism and Magnetic Materials (2023) Vol. 576, pp. 170763-170763
Open Access | Times Cited: 1
Cable Tension Estimation For The Cable-stayed Bridge With Hysteresis Damping
An Huynh-Thai, Toan Pham‐Bao
IOP Conference Series Materials Science and Engineering (2023) Vol. 1289, Iss. 1, pp. 012009-012009
Open Access
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