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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:

Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis
Yu Zhang, Dongying Han, Jinghui Tian, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110484-110484
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A new multi-source information domain adaption network based on domain attributes and features transfer for cross-domain fault diagnosis
Yue Yu, Hamid Reza Karimi, Peiming Shi, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111194-111194
Open Access | Times Cited: 20
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
A universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data
Jinghui Tian, Dongying Han, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 173, pp. 106167-106167
Closed Access | Times Cited: 7
Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis
Yu Zhang, Dongying Han, Peiming Shi
Expert Systems with Applications (2024) Vol. 255, pp. 124660-124660
Closed Access | Times Cited: 7
Enhanced domain transfer deep fuzzy echo state network for rotating machinery fault diagnosis based on current signal
Fei Jiang, Weiqi Lin, Shaohui Zhang, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112033-112033
Closed Access | Times Cited: 5
A novel meta-learning network with adversarial domain-adaptation and attention mechanism for cross-domain for train bearing fault diagnosis
Hao Zhong, Deqiang He, Zexian Wei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125109-125109
Closed Access | Times Cited: 5
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
A novel dimensional variational prototypical network for industrial few-shot fault diagnosis with unseen faults
Chuang Peng, Lei Chen, Kuangrong Hao, et al.
Computers in Industry (2024) Vol. 162, pp. 104133-104133
Closed Access | Times Cited: 4
Adversarial Domain Adaptation Model Based on LDTW for Extreme Partial Transfer Fault Diagnosis of Rotating Machines
Xuefang Xu, Xu Yang, Changbo He, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 4
A novel multiple-prototype and domain adversarial network for few-shot cross-domain fault diagnosis
Peiming Shi, Siyang Dai, Xuefang Xu, et al.
Measurement Science and Technology (2025) Vol. 36, Iss. 3, pp. 036134-036134
Closed Access
Learning to generalize with latent embedding optimization for few- and zero-shot cross domain fault diagnosis
Chuanhang Qiu, Tang Tang, Tianyuan Yang, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124280-124280
Closed Access | Times Cited: 3
Few-Shot Learning Approaches for Fault Diagnosis Using Vibration Data: A Comprehensive Review
Xiaoxia Liang, Ming Zhang, Guojin Feng, et al.
Sustainability (2023) Vol. 15, Iss. 20, pp. 14975-14975
Open Access | Times Cited: 8
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios
Baorui Dai, Gaëtan Frusque, Tianfu Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107202-107202
Open Access | Times Cited: 7
Few-Shot Remote Sensing Scene Recognition via Feature Enhancing Learning
Ye Rong, Qingyi Kong, Guanglong Wang
IEEE Access (2024), pp. 1-1
Open Access | Times Cited: 2
Adaptive Centroid Prototype-based Domain Adaptation for Fault Diagnosis of Rotating machinery Without Source Data
Qikang Li, Baoping Tang, Lei Deng, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110393-110393
Closed Access | Times Cited: 2
Imbalanced Source-Free Adaptation Diagnosis for Rotating Machinery
Yijiao Liu, Mingying Huo, Q. Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
Small-sample damage detection of bleacher structure based on GAN and MSS-CNN models
Chaozhi Cai, Xiaoyu Guo, Jianhua Ren, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 1
Enhancing Fault Diagnosis in Industrial Processes through Adversarial Task Augmented Sequential Meta-Learning
Dexin Sun, Yunsheng Fan, Guofeng Wang
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4433-4433
Open Access | Times Cited: 1
Unified bi-encoder bispace-discriminator disentanglement for cross-domain echocardiography segmentation
Xiaoxiao Cui, Boyu Wang, Shanzhi Jiang, et al.
Knowledge-Based Systems (2024) Vol. 303, pp. 112394-112394
Closed Access | Times Cited: 1
Fault Impulse Inference and Cyclostationary Approximation: A feature-interpretable intelligent fault detection method for few-shot unsupervised domain adaptation
Qing Zhang, Shaochen Li, Tan Chin-Hon, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110568-110568
Closed Access | Times Cited: 1
A novel multi-task transfer model to realize unsupervised fault diagnosis of newly constructed wind turbines under variable conditions
X L Liu, Desheng Sha, Qing Zhang, et al.
(2024), pp. 106-106
Closed Access
Multi-source Heterogeneous Information Fusion Prototype Network Based on Compact-Sparse Representation for Rotating Machinery Few-Shot Fault Diagnosis
Yu Zhang, Dongying Han, Peiming Shi
Mechanisms and machine science (2024), pp. 1183-1195
Closed Access
A Novel Open Set Adaptation Network for Marine Machinery Fault Diagnosis
Yulong Su, Yu Guo, Jundong Zhang, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1382-1382
Open Access
Bearing fault diagnosis for variable working conditions via lightweight transformer and homogeneous generalized contrastive learning with inter-class repulsive discriminant
Qiang Zhou, Wengang Ma, Yadong Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109548-109548
Closed Access
GOL-SFSTS based few-shot learning mechanical anomaly detection using multi-channel audio signal
Fengqian Zou, Xiaoming Li, Yuqing Li, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111204-111204
Closed Access | Times Cited: 1
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