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:

Self-learning transferable neural network for intelligent fault diagnosis of rotating machinery with unlabeled and imbalanced data
Zenghui An, Xingxing Jiang, Jing Cao, et al.
Knowledge-Based Systems (2021) Vol. 230, pp. 107374-107374
Closed Access | Times Cited: 52

Showing 26-50 of 52 citing articles:

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

An attention mechanism-guided domain adversarial network for gearbox fault diagnosis under different operating conditions
Baokun Han, Bo Li, Huadong Du, et al.
Transactions of the Institute of Measurement and Control (2023) Vol. 46, Iss. 5, pp. 927-937
Closed Access | Times Cited: 7

Mode-Decoupling Auto-Encoder for Machinery Fault Diagnosis Under Unknown Working Conditions
Zenghui An, Xingxing Jiang, Jie Liu
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 3, pp. 4990-5003
Closed Access | Times Cited: 7

Transfer graph feature alignment guided multi-source domain adaptation network for machinery fault diagnosis
Zhengwu Liu, Xiang Zhong, Haidong Shao, et al.
Knowledge-Based Systems (2024), pp. 112606-112606
Closed Access | Times Cited: 2

Self-Training Reinforced Adversarial Adaptation for Machine Fault Diagnosis
Jinyang Jiao, Hao Li, Jing Lin
IEEE Transactions on Industrial Electronics (2022) Vol. 70, Iss. 11, pp. 11649-11658
Closed Access | Times Cited: 11

Auxiliary generative mutual adversarial networks for class-imbalanced fault diagnosis under small samples
Ranran LI, Shunming LI, Kun Xu, et al.
Chinese Journal of Aeronautics (2022) Vol. 36, Iss. 9, pp. 464-478
Open Access | Times Cited: 11

Diversity maximization-based transfer diagnosis approach of rotating machinery
Daoming She, Jin Chen, Xiaoan Yan, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 1, pp. 410-420
Closed Access | Times Cited: 6

Generalized Transfer Extreme Learning Machine for Unsupervised Cross-Domain Fault Diagnosis With Small and Imbalanced Samples
Aisong Qin, Hanling Mao, Jiankang Zhong, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 14, pp. 15831-15843
Closed Access | Times Cited: 5

Fault Diagnosis of Rotating Machinery Under Multiple Operating Conditions Generalization: A Representation Gradient Muting Paradigm
Zhi Tang, Xiaofeng Liu, Kong Sun, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 8

Performance prediction of gasification-integrated solid oxide fuel cell and gas turbine cogeneration system based on PSO-BP neural network
Xiaolong Wu, Yu‐Xiao Yang, Keye Li, et al.
Renewable Energy (2024), pp. 121711-121711
Closed Access | Times Cited: 1

Imbalanced Bearing Fault Diagnosis Based on RFH-GAN and PSA-DRSN
Zhidan Zhong, Hao Liu, Wentao Mao, et al.
IEEE Access (2023) Vol. 11, pp. 131926-131938
Open Access | Times Cited: 3

Fast nonlinear cross-sparse filtering for rolling bearings compound fault diagnosis
Shunxiang Yao, Zongzhen Zhang, Baokun Han, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035120-035120
Closed Access | Times Cited: 3

Alignment subdomain-based deep convolutional transfer learning for machinery fault diagnosis under different working conditions
Yibing Li, Hu Wan, Li Jiang
Measurement Science and Technology (2021) Vol. 33, Iss. 5, pp. 055006-055006
Closed Access | Times Cited: 6

Weak fault diagnosis of machinery using Laplacian eigenmaps and parallel sparse filtering
Shanshan Ji, Jinrui Wang, Baokun Han, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 11, pp. 114003-114003
Closed Access | Times Cited: 4

A Bearing Fault Diagnosis Method Based on a Residual Network and a Gated Recurrent Unit under Time-Varying Working Conditions
Zheng Wang, Xiaoyang Xu, Yu Zhang, et al.
Sensors (2023) Vol. 23, Iss. 15, pp. 6730-6730
Open Access | Times Cited: 2

On Model-Based Transfer Learning Method for the Detection of Inter-Turn Short Circuit Faults in PMSM
Mingsheng Wang, Qiang Song, Wuxuan Lai
Sensors (2023) Vol. 23, Iss. 22, pp. 9145-9145
Open Access | Times Cited: 2

Temporal Self-supervised Domain Adaptation Network for Machinery Fault Diagnosis Under Multiple Non-ideal Conditions
Mengqi Miao, Yun Wang, Jianbo Yu
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110347-110347
Closed Access

Iterative HOEO fusion strategy: a promising tool for enhancing bearing fault feature
Xingxing Jiang, Demin Peng, Jianfeng Guo, et al.
Frontiers of Mechanical Engineering (2023) Vol. 18, Iss. 1
Closed Access | Times Cited: 1

Self-Supervised Learning With Signal Masking and Reconstruction for Machinery Fault Diagnosis Under Limited Labeled Data and Varying Working Condition
Lidong Yang, Xingxing Jiang, Xuegang Li, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24862-24873
Closed Access | Times Cited: 1

Dual-domain Signal Fusion Adversarial Network Based Vision Transformer for Cross-domain Fault Diagnosis
Shuo Xing, Jinrui Wang, Baokun Han, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 1

Early Intelligent Fault Diagnosis of Rotating Machinery Based on IWOA-VMD and DMKELM
Zhenzhen Jin, Deqiang He, Zhenpeng Lao, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 2

Deep multi feature dynamic adversarial diagnosis approach of rotating machinery
Daoming She, Jin Chen, Xiaoan Yan, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 12, pp. 125023-125023
Closed Access | Times Cited: 2

A Generalizable Sample Resolution Augmentation Method for Mechanical Fault Diagnosis Based on ESPCN
Zhenyun Chu, Shanshan Ji, Jinrui Wang, et al.
Journal of Sensors (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 2

Shrinkage transformer relation network for intelligent fault detection of industrial robot mechanical equipment
Zuoyi Chen, Chao Deng, Jun Wu, et al.
Scientia Sinica Technologica (2023)
Closed Access

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