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:
Novel cross-domain fault diagnosis method based on model-agnostic meta-learning embedded in adaptive threshold network
Chenglong Ye, Jinxi Wang, Chang Peng, et al.
Measurement (2023) Vol. 222, pp. 113677-113677
Closed Access | Times Cited: 7
Chenglong Ye, Jinxi Wang, Chang Peng, et al.
Measurement (2023) Vol. 222, pp. 113677-113677
Closed Access | Times Cited: 7
Showing 7 citing articles:
An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain
Changdong Wang, Jingli Yang, Huamin Jie, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102682-102682
Closed Access | Times Cited: 30
Changdong Wang, Jingli Yang, Huamin Jie, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102682-102682
Closed Access | Times Cited: 30
An information fusion-based meta transfer learning method for few-shot fault diagnosis under varying operating conditions
Cuiying Lin, Yun Kong, Qinkai Han, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111652-111652
Closed Access | Times Cited: 17
Cuiying Lin, Yun Kong, Qinkai Han, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111652-111652
Closed Access | Times Cited: 17
A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples
Mingzhe Mu, Hongkai Jiang, Xin Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102870-102870
Closed Access | Times Cited: 5
Mingzhe Mu, Hongkai Jiang, Xin Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102870-102870
Closed Access | Times Cited: 5
Task-adaptive unbiased regularization meta-learning for few-shot cross-domain fault diagnosis
Huaqing Wang, Dongrui Lv, Tianjiao Lin, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110200-110200
Closed Access
Huaqing Wang, Dongrui Lv, Tianjiao Lin, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110200-110200
Closed Access
A novel intelligent bearing fault diagnosis method based on image enhancement and improved convolutional neural network
Guocai Nie, Zhongwei Zhang, Zonghao Jiao, et al.
Measurement (2024), pp. 116148-116148
Closed Access | Times Cited: 3
Guocai Nie, Zhongwei Zhang, Zonghao Jiao, et al.
Measurement (2024), pp. 116148-116148
Closed Access | Times Cited: 3
Novel Meta-Learning for Few-Shot Bearing Fault Diagnosis Under Varying Working Conditions
Chuanhao Wang, Jigang Peng, Yongjian Sun
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035239-035239
Closed Access | Times Cited: 2
Chuanhao Wang, Jigang Peng, Yongjian Sun
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035239-035239
Closed Access | Times Cited: 2
Adaptive model-agnostic meta-learning network for cross-machine fault diagnosis with limited samples
Mingzhe Mu, Hongkai Jiang, Xin Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109748-109748
Closed Access | Times Cited: 1
Mingzhe Mu, Hongkai Jiang, Xin Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109748-109748
Closed Access | Times Cited: 1
