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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:

A Gaussian-guided adversarial adaptation transfer network for rolling bearing fault diagnosis
Zhenghong Wu, Hongkai Jiang, Shaowei Liu, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101651-101651
Closed Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing
Yongchao Zhang, Jinchen Ji, Zhaohui Ren, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109186-109186
Open Access | Times Cited: 167
Adaptive variational autoencoding generative adversarial networks for rolling bearing fault diagnosis
Xin Wang, Hongkai Jiang, Zhenghong Wu, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 102027-102027
Closed Access | Times Cited: 98
A deep feature enhanced reinforcement learning method for rolling bearing fault diagnosis
Ruixin Wang, Hongkai Jiang, Ke Zhu, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101750-101750
Closed Access | Times Cited: 91
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
A knowledge dynamic matching unit-guided multi-source domain adaptation network with attention mechanism for rolling bearing fault diagnosis
Zhenghong Wu, Hongkai Jiang, Hongxuan Zhu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 189, pp. 110098-110098
Closed Access | Times Cited: 50
Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions
Jipu Li, Ruyi Huang, Zhuyun Chen, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101883-101883
Closed Access | Times Cited: 46
Dynamic weighted adversarial domain adaptation network with sparse representation denoising module for rotating machinery fault diagnosis
Maogui Niu, Hongkai Jiang, Haidong Shao
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109963-109963
Closed Access | Times Cited: 2
Deep branch attention network and extreme multi-scale entropy based single vibration signal-driven variable speed fault diagnosis scheme for rolling bearing
Dongfang Zhao, Shulin Liu, Hongyi Du, et al.
Advanced Engineering Informatics (2022) Vol. 55, pp. 101844-101844
Closed Access | Times Cited: 61
Machine fault diagnosis with small sample based on variational information constrained generative adversarial network
Shaowei Liu, Hongkai Jiang, Zhenghong Wu, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101762-101762
Closed Access | Times Cited: 49
IFD-MDCN: Multibranch denoising convolutional networks with improved flow direction strategy for intelligent fault diagnosis of rolling bearings under noisy conditions
Sheng Li, Jinchen Ji, Yadong Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109387-109387
Open Access | Times Cited: 33
Conditional distribution-guided adversarial transfer learning network with multi-source domains for rolling bearing fault diagnosis
Zhenghong Wu, Hongkai Jiang, Shaowei Liu, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101993-101993
Closed Access | Times Cited: 31
Fault diagnosis of wind turbine gearbox under limited labeled data through temporal predictive and similarity contrast learning embedded with self-attention mechanism
Yunyi Zhu, Bin Xie, Anqi Wang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123080-123080
Closed Access | Times Cited: 22
Subdomain adaptation joint attention network enabled two-stage strategy towards few-shot fault diagnosis of LRE turbopump
Dongfang Zhao, Shulin Liu, Zhonghua Miao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102366-102366
Closed Access | Times Cited: 10
Heterogeneous Federated Domain Generalization Network With Common Representation Learning for Cross-Load Machinery Fault Diagnosis
Quan Qian, Jun Luo, Yi Qin
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 9, pp. 5704-5716
Closed Access | Times Cited: 10
A partial domain adaptation scheme based on weighted adversarial nets with improved CBAM for fault diagnosis of wind turbine gearbox
Yunyi Zhu, Yan Pei, Anqi Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106674-106674
Closed Access | Times Cited: 20
Data-augmented patch variational autoencoding generative adversarial networks for rolling bearing fault diagnosis
Xin Wang, Hongkai Jiang, Yunpeng Liu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055102-055102
Closed Access | Times Cited: 19
A dynamic spectrum loss generative adversarial network for intelligent fault diagnosis with imbalanced data
Xin Wang, Hongkai Jiang, Yunpeng Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106872-106872
Closed Access | Times Cited: 16
Federated temporal-context contrastive learning for fault diagnosis using multiple datasets with insufficient labels
Haowen Zheng, Hui Liu, Zhenyu Liu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102432-102432
Closed Access | Times Cited: 5
A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples
Mingzhe Mu, Hongkai Jiang, Xin Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102870-102870
Closed Access | Times Cited: 5
A collaborative adversarial framework: Distribution characteristics-guided alignment mechanism for fault diagnosis of machines considering domain shift
Xiaoxuan Fan, Lixiang Duan, Na Zhang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103159-103159
Closed Access
Towards dual-perspective alignment: A novel hierarchical selective adversarial network for transfer fault diagnosis
Yansong Zhang, Xianfeng Yuan, Xilin Yang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103113-103113
Closed Access
MGTN-DSI: A multi-sensor graph transfer network considering dual structural information for fault diagnosis under varying working conditions
Jianjie Liu, Xianfeng Yuan, Xilin Yang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103119-103119
Closed Access
Inter- to Intradomain: A Progressive Adaptation Method for Machine Fault Diagnosis
Jinyang Jiao, Hao Li
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 4, pp. 5364-5373
Closed Access | Times Cited: 9
Unsupervised domain adversarial network for few-sample fault detection in industrial processes
Ruiyi Fang, Kai Wang, Jing Li, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102684-102684
Closed Access | Times Cited: 3
A Multi-Scale Attention Mechanism Based Domain Adversarial Neural Network Strategy for Bearing Fault Diagnosis
Quanling Zhang, Ningze Tang, Xing Fu, et al.
Actuators (2023) Vol. 12, Iss. 5, pp. 188-188
Open Access | Times Cited: 8
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