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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:

Transferable common feature space mining for fault diagnosis with imbalanced data
Na Lü, Tao Yin
Mechanical Systems and Signal Processing (2021) Vol. 156, pp. 107645-107645
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Weihua Li, Ruyi Huang, Jipu Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108487-108487
Open Access | Times Cited: 529
A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images
Shengnan Tang, Yong Zhu, Shouqi Yuan
Advanced Engineering Informatics (2022) Vol. 52, pp. 101554-101554
Closed Access | Times Cited: 119
A Systematic Review on Imbalanced Learning Methods in Intelligent Fault Diagnosis
Zhijun Ren, Tantao Lin, Ke Feng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-35
Closed Access | Times Cited: 89
Fault diagnosis in rotating machines based on transfer learning: Literature review
Iqbal Misbah, C.K.M. Lee, K. L. Keung
Knowledge-Based Systems (2023) Vol. 283, pp. 111158-111158
Closed Access | Times Cited: 64
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 26
Transfer Relation Network for Fault Diagnosis of Rotating Machinery With Small Data
Na Lü, Huiyang Hu, Tao Yin, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 11, pp. 11927-11941
Closed Access | Times Cited: 79
Rotating machinery fault detection and diagnosis based on deep domain adaptation: A survey
Siyu Zhang, Lei Su, Jiefei Gu, et al.
Chinese Journal of Aeronautics (2021) Vol. 36, Iss. 1, pp. 45-74
Open Access | Times Cited: 75
Knowledge and data dual-driven transfer network for industrial robot fault diagnosis
Tao Yin, Na Lü, Guangshuai Guo, et al.
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109597-109597
Open Access | Times Cited: 52
Joint attention feature transfer network for gearbox fault diagnosis with imbalanced data
Biao Li, Baoping Tang, Lei Deng, et al.
Mechanical Systems and Signal Processing (2022) Vol. 176, pp. 109146-109146
Closed Access | Times Cited: 39
Imbalance fault diagnosis under long-tailed distribution: Challenges, solutions and prospects
Zhuohang Chen, Jinglong Chen, Yong Feng, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 110008-110008
Closed Access | Times Cited: 36
Correlation Regularized Conditional Adversarial Adaptation for Multi-Target-Domain Fault Diagnosis
Minqiang Deng, Aidong Deng, Yaowei Shi, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 8692-8702
Closed Access | Times Cited: 28
Multi-view rotating machinery fault diagnosis with adaptive co-attention fusion network
Xiaorong Liu, Jie Wang, Sa Meng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106138-106138
Closed Access | Times Cited: 17
Research on fault diagnosis of supercharged boiler with limited data based on few-shot learning
Guolong Li, Yanjun Li, Chengyue Fang, et al.
Energy (2023) Vol. 281, pp. 128286-128286
Closed Access | Times Cited: 17
Multi-view and Multi-level network for fault diagnosis accommodating feature transferability
Na Lü, Zhiyan Cui, Huiyang Hu, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119057-119057
Closed Access | Times Cited: 25
Integrated generative networks embedded with ensemble classifiers for fault detection and diagnosis under small and imbalanced data of building air condition system
Jianxin Zhang, Zhengfei Li, Huanxin Chen, et al.
Energy and Buildings (2022) Vol. 268, pp. 112207-112207
Open Access | Times Cited: 24
A temporal partial domain adaptation network for transferable prognostics across working conditions with insufficient data
Yuhui Xu, Tangbin Xia, Yimin Jiang, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110273-110273
Closed Access | Times Cited: 5
Few-shot bearing fault diagnosis by semi-supervised meta-learning with graph convolutional neural network under variable working conditions
Zhen Liu, Zhenrui Peng
Measurement (2024) Vol. 240, pp. 115402-115402
Closed Access | Times Cited: 5
Fault Diagnosis Using Imbalanced Data of Rolling Bearings Based on a Deep Migration Model
Haitao Wang, Xiheng Zhang
IEEE Access (2024) Vol. 12, pp. 5517-5533
Open Access | Times Cited: 4
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
A Novel Framework Based on Complementary Views for Fault Diagnosis with Cross-Attention Mechanisms
Xiaorong Liu, Zhonghan Chen, Dongfeng Hu, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 886-886
Open Access
Prognostics of complex machinery with sparse multilabel multimodal run-to-failure data: A graph neural network approach
Sagar Jose, Ryad Zemouri, Khanh T.P. Nguyen, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103361-103361
Closed Access
A New Method for Bearing Fault Diagnosis across Machines Based on Envelope Spectrum and Conditional Metric Learning
Xu Yang, Junfeng Yang, Yupeng Jin, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2674-2674
Open Access | Times Cited: 3
An adaptive few-shot fault diagnosis method based on virtual samples generated by fault characteristics of rotating machines
Peng Wu, Gongye Yu, Qianqian Yu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109017-109017
Closed Access | Times Cited: 3
An Uncertainty-Incorporated Active Data Diffusion Learning Framework for Few-Shot Equipment RUL Prediction
Chao Zhang, Daqing Gong, Gang Xue
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110632-110632
Closed Access | Times Cited: 3
Self-supervised clustering with assistance from off-the-shelf classifier
Hanxuan Wang, Na Lü, Huan Luo, et al.
Pattern Recognition (2023) Vol. 138, pp. 109350-109350
Closed Access | Times Cited: 7
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