Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Similarity-based meta-learning network with adversarial domain adaptation for cross-domain fault identification
Yong Feng, Jinglong Chen, Zhuozheng Yang, et al.
Knowledge-Based Systems (2021) Vol. 217, pp. 106829-106829
Closed Access | Times Cited: 80

Showing 26-50 of 80 citing articles:

A multi-module generative adversarial network augmented with adaptive decoupling strategy for intelligent fault diagnosis of machines with small sample
Kaiyu Zhang, Qiang Chen, Jinglong Chen, et al.
Knowledge-Based Systems (2021) Vol. 239, pp. 107980-107980
Closed Access | Times Cited: 35
Triplet metric driven multi-head GNN augmented with decoupling adversarial learning for intelligent fault diagnosis of machines under varying working condition
Kaiyu Zhang, Jinglong Chen, Shuilong He, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 1-16
Closed Access | Times Cited: 33
Numerical simulation of gears for fault detection using artificial intelligence models
Hui Wang, Ronggang Yang, Jiawei Xiang
Measurement (2022) Vol. 203, pp. 111898-111898
Closed Access | Times Cited: 25
Multiscale Wavelet Prototypical Network for Cross-Component Few-Shot Intelligent Fault Diagnosis
Ke Yue, Jipu Li, Junbin Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-11
Closed Access | Times Cited: 23
An improved prototypical network with L2 prototype correction for few-shot cross-domain fault diagnosis
Tang Tang, Jingwei Wang, Tianyuan Yang, et al.
Measurement (2023) Vol. 217, pp. 113065-113065
Closed Access | Times Cited: 15
A meta-learning network with anti-interference for few-shot fault diagnosis
Zhiqian Zhao, Runchao Zhao, Xianglin Wu, et al.
Neurocomputing (2023) Vol. 552, pp. 126551-126551
Closed Access | Times Cited: 14
Triplet adversarial Learning-driven graph architecture search network augmented with Probsparse-attention mechanism for fault diagnosis under Few-shot & Domain-shift
Yuanhong Chang, Jinglong Chen, Weiguang Zheng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110462-110462
Closed Access | Times Cited: 13
Improved metric-based meta learning with attention mechanism for few-shot cross-domain train bearing fault diagnosis
Hao Zhong, Deqiang He, Zhenpeng Lao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 075101-075101
Closed Access | Times Cited: 4
Multi-stream domain adversarial prototype network for integrated smart roller TBM main bearing fault diagnosis across various low rotating speeds
Xingchen Fu, Keming Jiao, Jianfeng Tao, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110284-110284
Closed Access | Times Cited: 4
A new cross-domain bearing fault diagnosis method with few samples under different working conditions
Xingjun Dong, Changsheng Zhang, Hanrui Liu, et al.
Journal of Manufacturing Processes (2025) Vol. 135, pp. 359-374
Closed Access
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access
A Robust Deep Learning Network for Low-Speed Machinery Fault Diagnosis Based on Multikernel and RPCA
Haihong Tang, Zhiqiang Liao, Peng Chen, et al.
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 3, pp. 1522-1532
Closed Access | Times Cited: 31
Prior knowledge-based residuals shrinkage prototype networks for cross-domain fault diagnosis
Junwei Hu, Weigang Li, Xiujuan Zheng, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105011-105011
Closed Access | Times Cited: 10
Temporal convolution-based sorting feature repeat-explore network combining with multi-band information for remaining useful life estimation of equipment
Yuanhong Chang, Jinglong Chen, Yulang Liu, et al.
Knowledge-Based Systems (2022) Vol. 249, pp. 108958-108958
Closed Access | Times Cited: 18
Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects
Yu Guo, Jundong Zhang, Bin Sun, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7263-7263
Open Access | Times Cited: 9
Semi-Supervised Temporal Meta-Learning Framework for Wind Turbine Bearing Fault Diagnosis Under Limited Annotation Data
Hao Su, Qingtao Yao, Ling Xiang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 3
Multi-mode non-Gaussian variational autoencoder network with missing sources for anomaly detection of complex electromechanical equipment
Qinyuan Luo, Jinglong Chen, Yanyang Zi, et al.
ISA Transactions (2022) Vol. 134, pp. 144-158
Closed Access | Times Cited: 14
Mini-batch Dynamic Geometric Embedding for Unsupervised Domain Adaptation
Siraj Khan, Yuxin Guo, Yuzhong Ye, et al.
Neural Processing Letters (2023) Vol. 55, Iss. 3, pp. 2063-2080
Closed Access | Times Cited: 8
General feature spatial location and distance-based unknown Detection: A universal domain adaptation fault diagnosis framework of rotating Machinery
Yunjia Dong, Minqiang Xu, Yuqing Li, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 110979-110979
Closed Access | Times Cited: 8
Adaptive Meta Transfer Learning with Efficient Self-Attention for Few-Shot Bearing Fault Diagnosis
Jun Zhao, Tang Tang, Ying Yu, et al.
Neural Processing Letters (2022) Vol. 55, Iss. 2, pp. 949-968
Closed Access | Times Cited: 13
A multi scale meta-learning network for cross domain fault diagnosis with limited samples
Yu Wang, Shujie Liu
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 2
Few-shot Learning-based Fault Diagnosis Using Prototypical Contrastive Based Domain Adaptation Under Variable Working Conditions
Yiyao An, Zhaofei Li, Yuanyuan Li, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 25019-25029
Closed Access | Times Cited: 2
Investigation on a chatter detection method based on meta learning for machining multiple types of workpieces
Haiyong Sun, Hongyu Jin, Yue Zhuo, et al.
Journal of Manufacturing Processes (2024) Vol. 131, pp. 1815-1832
Closed Access | Times Cited: 2
Computational knowledge vision: paradigmatic knowledge based prescriptive learning and reasoning for perception and vision
Wenbo Zheng, Lan Yan, Chao Gou, et al.
Artificial Intelligence Review (2022) Vol. 55, Iss. 8, pp. 5917-5952
Closed Access | Times Cited: 11
Few-shot intelligent fault diagnosis based on an improved meta-relation network
Xiaoqing Zheng, Changyuan Yue, Wei Jiang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 24, pp. 30080-30096
Closed Access | Times Cited: 6

Scroll to top