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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 adaptive channel attention module for unsupervised cross-domain fault diagnosis
Yaowei Shi, Aidong Deng, Minqiang Deng, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108684-108684
Closed Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching
Shaowei Liu, Hongkai Jiang, Zhenghong Wu, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109036-109036
Closed Access | Times Cited: 75
Digital Twin Enabled Domain Adversarial Graph Networks for Bearing Fault Diagnosis
Ke Feng, Yadong Xu, Yulin Wang, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2023) Vol. 1, pp. 113-122
Open Access | Times Cited: 59
A digital twin-enhanced semi-supervised framework for motor fault diagnosis based on phase-contrastive current dot pattern
Pengcheng Xia, Yixiang Huang, Zhiyu Tao, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109256-109256
Closed Access | Times Cited: 42
A novel bearing fault diagnosis method based joint attention adversarial domain adaptation
Pengfei Chen, Rongzhen Zhao, Tianjing He, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109345-109345
Closed Access | Times Cited: 30
ISEANet: An interpretable subdomain enhanced adaptive network for unsupervised cross-domain fault diagnosis of rolling bearing
Bin Liu, Changfeng Yan, Yaofeng Liu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102610-102610
Closed Access | Times Cited: 10
Few-shot fault diagnosis of rolling bearing under variable working conditions based on ensemble meta-learning
Changchang Che, Huawei Wang, Minglan Xiong, et al.
Digital Signal Processing (2022) Vol. 131, pp. 103777-103777
Closed Access | Times Cited: 33
Statistical identification guided open-set domain adaptation in fault diagnosis
Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109047-109047
Closed Access | Times Cited: 30
Source-free domain adaptation framework for fault diagnosis of rotation machinery under data privacy
Qikang Li, Baoping Tang, Lei Deng, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109468-109468
Closed Access | Times Cited: 19
Semi-supervised small sample fault diagnosis under a wide range of speed variation conditions based on uncertainty analysis
Dawei Gao, Kai Huang, Yongsheng Zhu, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109746-109746
Closed Access | Times Cited: 19
A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery
Biliang Lu, Yingjie Zhang, Zhaohua Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109618-109618
Closed Access | Times Cited: 18
A Lightweight Model of Underwater Object Detection Based on YOLOv8n for an Edge Computing Platform
Yibing Fan, Lanyong Zhang, Peng Li
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 5, pp. 697-697
Open Access | Times Cited: 5
Self-Supervised-Enabled Open-Set Cross-Domain Fault Diagnosis Method for Rotating Machinery
Li Wang, Yiping Gao, Xinyu Li, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 8, pp. 10314-10324
Closed Access | Times Cited: 5
Explainable fault diagnosis method based on statistical features for gearboxes
Huakang Tang, Honglei Wang, Chengjiang Li
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110503-110503
Closed Access
An uncertainty relevance metric-based domain adaptation fault diagnosis method to overcome class relevance caused confusion
Qing Zhang, Lv Tang, Jianping Xuan, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109040-109040
Closed Access | Times Cited: 20
Correlation feature distribution matching for fault diagnosis of machines
Hongchuang Tan, Suchao Xie, Wen Ma, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108981-108981
Closed Access | Times Cited: 19
Adversarial training of multi-scale channel attention network for enhanced robustness in bearing fault diagnosis
Haotian Peng, Jinsong Du, Jie Gao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056204-056204
Closed Access | Times Cited: 3
Automated broad transfer learning for cross-domain fault diagnosis
Guokai Liu, Weiming Shen, Liang Gao, et al.
Journal of Manufacturing Systems (2022) Vol. 66, pp. 27-41
Closed Access | Times Cited: 17
Federated domain generalization with global robust model aggregation strategy for bearing fault diagnosis
X.C. Cong, Yan Song, Yibin Li, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115116-115116
Closed Access | Times Cited: 10
Cross-Domain Open-Set Fault Diagnosis Based on Target Domain Slanted Adversarial Network for Rotating Machinery
Zuqiang Su, Weilong Jiang, Yang Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 8
An hybrid domain adaptation diagnostic network guided by curriculum pseudo labels for electro-mechanical actuator
Jianyu Wang, Zhiguo Zeng, Heng Zhang, et al.
Reliability Engineering & System Safety (2022) Vol. 228, pp. 108770-108770
Closed Access | Times Cited: 13
Category-aware dual adversarial domain adaptation model for rolling bearings fault diagnosis under variable conditions
Xingchi Lu, Weiyang Xu, Quan Jiang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 095104-095104
Closed Access | Times Cited: 7
KMSA-Net: A Knowledge-Mining-Based Semantic-Aware Network for Cross-Domain Industrial Process Fault Diagnosis
Lei Wang, Jinhai Liu, Huaguang Zhang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2738-2750
Closed Access | Times Cited: 6
Parallel adversarial feature learning and enhancement of feature discriminability for fault diagnosis of a planetary gearbox under time-varying speed conditions
Chuan Zhao, Yinglin Zhang
Measurement Science and Technology (2022) Vol. 33, Iss. 12, pp. 125019-125019
Closed Access | Times Cited: 9
Feature Enhancement via Linear Transformation and Its Application in Fault Diagnosis
Biao He, Quan Qian, Yi Qin
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 21895-21903
Closed Access | Times Cited: 1
Adaptive inter-intradomain alignment network with class-aware sampling strategy for rolling bearing fault diagnosis
Qinhe Gao, Tong Huang, Ke Zhao, et al.
Science China Technological Sciences (2023) Vol. 66, Iss. 10, pp. 2862-2870
Closed Access | Times Cited: 2
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