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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:

Feature distance-based deep prototype network for few-shot fault diagnosis under open-set domain adaptation scenario
Xiao Zhang, Jinrui Wang, Baokun Han, et al.
Measurement (2022) Vol. 201, pp. 111522-111522
Closed Access | Times Cited: 20

Showing 20 citing articles:

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: 23
Industrial Edge Intelligence: Federated-Meta Learning Framework for Few-Shot Fault Diagnosis
Jiao Chen, Jianhua Tang, Weihua Li
IEEE Transactions on Network Science and Engineering (2023), pp. 1-13
Closed Access | Times Cited: 17
Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Rui Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106477-106477
Closed Access | Times Cited: 15
A novel hybrid distance guided domain adversarial method for cross domain fault diagnosis of gearbox
Xingwang Jiang, Xiaojing Wang, Baokun Han, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 6, pp. 065115-065115
Closed Access | Times Cited: 12
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
Feature Similarity-Aware Open-Set Fault Diagnosis Via an Adaptive Dual-Stage Recognition Framework
Penglong Lian, Zhiheng Su, Penghui Shang, et al.
(2025)
Closed Access
Multiple Scale Convolutional Few-Shot Learning Networks for Online P300-Based Brain–Computer Interface and Its Application to Patients With Disorder of Consciousness
Jiahui Pan, Honghua Cai, Haiyun Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-16
Closed Access | Times Cited: 9
A LightGBM-Based Multiscale Weighted Ensemble Model for Few-Shot Fault Diagnosis
Weihua Li, Jingke He, Huibin Lin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 9
A domain adaptation method based on interpolation and centroid representation for open-set fault diagnosis of bearing
Bo Lin, Kong Sun, Daiping Wei
Measurement (2023) Vol. 216, pp. 112945-112945
Closed Access | Times Cited: 8
Open-set federated adversarial domain adaptation based cross-domain fault diagnosis
Shu Ping Xu, Jian Ma, Dengwei Song
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115004-115004
Closed Access | Times Cited: 7
Adaptive graph-guided joint soft clustering and distribution alignment for cross-load and cross-device rotating machinery fault transfer diagnosis
Huoyao Xu, Xiangyu Peng, Junlang Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 045009-045009
Open Access | Times Cited: 2
Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Rui Wang, et al.
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 6
A hierarchical transformer-based adaptive metric and joint-learning network for few-shot rolling bearing fault diagnosis
Zong Meng, Zhaohui Zhang, Yang Guan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035114-035114
Closed Access | Times Cited: 5
Open-set domain adaptation fusion method based on weighted adversarial learning for machinery fault diagnosis
Bo She, Fangyin Tan, Yang Zhao, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
Cross-domain fault diagnosis of rotating machinery based on graph feature extraction
Pei Wang, Jie Liu, Jianzhong Zhou, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 2, pp. 025116-025116
Closed Access | Times Cited: 6
Fault Diagnosis for China Space Station Circulating Pumps: Prototypical Network with Uncertainty Theory
Wenbo Wu, Tianji Zou, D. Y. Guo, et al.
Symmetry (2023) Vol. 15, Iss. 4, pp. 903-903
Open Access | Times Cited: 2
An enhanced meta-learning network with sensitivity penalty for cross-domain few-shot fault diagnosis
Mingzhe Mu, Hongkai Jiang, Wenxin Jiang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095106-095106
Closed Access
Prototype Based Personalized Federated Learning for Planetary Gearbox Fault Diagnosis
Wenjun Sun, Ruqiang Yan
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2024), pp. 1-6
Closed Access
Diagnosis model of noise-type defects for dry-type transformer based on time–frequency-space tensors and improved prototypical network under small sample conditions
Zhanxi Zhang, Youyuan Wang, Jinzhan Liu
Measurement (2023) Vol. 221, pp. 113450-113450
Closed Access | Times Cited: 1
Imbalanced Fault Diagnosis Based on Supervised Prototypical Contrastive Network
Xiao Zhang, Weiguo Huang, Rui Wang, et al.
(2023), pp. 1-5
Closed Access
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