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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:

Few-shot fatigue damage evaluation of aircraft structure using neural augmentation and deep transfer learning
Changchang Che, Huawei Wang, Minglan Xiong, et al.
Engineering Failure Analysis (2023) Vol. 148, pp. 107185-107185
Closed Access | Times Cited: 21

Showing 21 citing articles:

Damage identification of steel bridge based on data augmentation and adaptive optimization neural network
Minshui Huang, Jianwei Zhang, Jun Li, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 21
Towards vibration-based damage detection of civil engineering structures: overview, challenges, and future prospects
Ali Zar, Zahoor Hussain, Muhammad Akbar, et al.
International Journal of Mechanics and Materials in Design (2024) Vol. 20, Iss. 3, pp. 591-662
Open Access | Times Cited: 14
Physics guided neural network: Remaining useful life prediction of rolling bearings using long short-term memory network through dynamic weighting of degradation process
Wenjian Lu, Yu Wang, Mingquan Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107350-107350
Closed Access | Times Cited: 14
Few-shot structural repair decision of civil aircraft based on deep meta-learning
Changchang Che, Huawei Wang, Xiaomei Ni, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106695-106695
Closed Access | Times Cited: 11
Intermittent fault diagnosis of analog circuit based on enhanced one-dimensional vision transformer and transfer learning strategy
Shengdong Wang, Zhenbao Liu, Zhen Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107281-107281
Closed Access | Times Cited: 10
Condition-Based Maintenance in Aviation: Challenges and Opportunities
Wim J.C. Verhagen, Bruno F. Santos, Floris Freeman, et al.
Aerospace (2023) Vol. 10, Iss. 9, pp. 762-762
Open Access | Times Cited: 9
Transfer learning-based multiple digital twin-assisted intelligent mechanical fault diagnosis
Sizhe Liu, Yongsheng Qi, Xuejin Gao, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025133-025133
Closed Access | Times Cited: 9
DECVAE: Data augmentation via conditional variational auto-encoder with distribution enhancement for few-shot fault diagnosis of mechanical system
Yikun Liu, Song Fu, Lin Lin, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046104-046104
Closed Access | Times Cited: 3
Few-shot reliability evaluation of tribopairs degradation based on active learning supported generative adversarial network
Zhonghai Ma, Yiwen Sun, Fanglong Yin, et al.
Engineering Failure Analysis (2024) Vol. 165, pp. 108772-108772
Closed Access | Times Cited: 3
Rolling bearing fault diagnosis under time-varying speeds based on time-characteristic order spectrum and multi-scale domain adaptation network
Zhenli Xu, Guiji Tang, Bin Pang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125118-125118
Closed Access | Times Cited: 7
A weighted sparse classification method based on period analysis dictionary
Huaqing Wang, Zhang Hong-jie, Baoguo Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046123-046123
Closed Access | Times Cited: 1
A physics-informed deep learning approach for combined cycle fatigue life prediction
Chao Feng, Zhiping Long, Molin Su, et al.
Journal of Constructional Steel Research (2024) Vol. 222, pp. 109000-109000
Closed Access | Times Cited: 1
A new fault diagnosis of rolling bearing based on phase-space reconstruction and convolutional neural network
Mengjiao Wang, Liting Ding
Industrial Lubrication and Tribology (2023) Vol. 75, Iss. 8, pp. 875-882
Closed Access | Times Cited: 2
Structural Damage Diagnosis of Aerospace CFRP Components: Leveraging Transfer Learning in the Matching Networks Framework
Zhuojun Xu, Hao Li, Jianbo Yu
Structural Control and Health Monitoring (2024) Vol. 2024, Iss. 1
Open Access
Full-field expansion and damage detection from sparse measurements using physics-informed variational autoencoders
Nitin Nagesh Kulkarni, Alessandro Sabato
Structural Health Monitoring (2024)
Closed Access
Feature Transfer Learning for Fatigue Life Prediction of Additive Manufactured Metals With Small Samples
Hao Wu, Zhi‐Ming Fan, Lei Gan
Fatigue & Fracture of Engineering Materials & Structures (2024)
Closed Access
Comprehensive study on building chiller fault feature and diagnosis using hybrid CNN
Hua Han, Jiaqing Gao, Bo Gu, et al.
Science and Technology for the Built Environment (2024), pp. 1-19
Closed Access
Damage quantification of composite laminate via variational auto-encoder Lamb wave data expansion and spatio-temporal fusion transfer model
Weihan Shao, Xinlin Qing
Structural Health Monitoring (2024)
Closed Access
A heterogeneous transfer learning method for fault prediction of railway track circuit
Lan Na, Baigen Cai, Chongzhen Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 140, pp. 109740-109740
Closed Access
Unsupervised transfer learning for intelligent health status identification of bearing in adaptive input length selection
Guiting Tang, Lei Liu, Yirong Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107051-107051
Closed Access | Times Cited: 1
Comprehensive Study on Building Chiller Fault Feature and Diagnosis Based on Deep Cnn
Hua Han, Jiaqing Gao, Bo Gu, et al.
(2023)
Closed Access
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