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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:

An unsupervised transfer learning method based on SOCNN and FBNN and its application on bearing fault diagnosis
Bo Zheng, Jianhao Huang, Xin Ma, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111047-111047
Closed Access | Times Cited: 19

Showing 19 citing articles:

Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 30
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks
Zifeng Xu, Zhe Wang, Chaojia Gao, et al.
Computers in Industry (2024) Vol. 163, pp. 104155-104155
Closed Access | Times Cited: 6
Digital twin-assisted interpretable transfer learning: A novel wavelet-based framework for intelligent fault diagnostics from simulated domain to real industrial domain
Sheng Li, Qiubo Jiang, Yadong Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102681-102681
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
A recombination generation method for missing fault data samples under unknown working conditions based on swap invariance-based multi-attribute disentangled representation network
Yujie Cheng, Gaowei Wang, Haoxin Gu, et al.
Measurement (2025), pp. 116982-116982
Closed Access
Two-dimensional Adversarial Domain Adaptation Graph Contrastive Learning for Fault Diagnosis of Limited Similar Batch Process
Xingke Gao, Jinlin Zhu, Furong Gao, et al.
Process Safety and Environmental Protection (2025), pp. 107017-107017
Closed Access
Biologically inspired compound defect detection using a spiking neural network with continuous time–frequency gradients
Zisheng Wang, Shaochen Li, Jianping Xuan, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103132-103132
Closed Access
Dual disentanglement domain generalization method for rotating Machinery fault diagnosis
Guowei Zhang, Xianguang Kong, Hongbo Ma, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112460-112460
Closed Access
PLL-WCAN: Pseudo-label progressive learning guided wavelet class-aware adaptive network for gearbox cross-domain fault diagnosis
Zhenfa Shao, Hong Jiang, Xiangfeng Zhang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112624-112624
Closed Access
Distance-guided domain adaptation for bearing fault diagnosis under variable operating conditions
Z. K. Hei, Qiang Shi, Xuefeng Fan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086128-086128
Closed Access | Times Cited: 2
SDANet: Sub-domain adaptive network for multi-fault diagnosis of lithium-ion battery packs
Zhi Yang, Jiahao Nie, Zhiwei He, et al.
Journal of Energy Storage (2024) Vol. 98, pp. 112865-112865
Closed Access | Times Cited: 2
Early-stage electrical fault identification for traction transformers using vibration signals based on dual-attention convolutional network
Jingjian Yang, Gang Zhang, Zhongbei Tian, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2024) Vol. 2, pp. 471-483
Closed Access | Times Cited: 2
A Novel Multi-Task Self-Supervised Transfer Learning Framework for Cross-Machine Rolling Bearing Fault Diagnosis
Lujia Zhao, Yuling He, De‐Rui Dai, et al.
Electronics (2024) Vol. 13, Iss. 23, pp. 4622-4622
Open Access | Times Cited: 2
Improved Adversarial Transfer Network for Bearing Fault Diagnosis under Variable Working Conditions
Jun Wang, Hosameldin Ahmed, Xuefeng Chen, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2253-2253
Open Access | Times Cited: 1
Digital twin-assisted intelligent fault diagnosis for bearings
Siqi Gong, Shunming Li, Yongchao Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106128-106128
Open Access | Times Cited: 1
Wheel-Rail Force Inversion Via Transfer Learning-Based Residual Lstm Neural Network with Temporal Pattern Attention Mechanism
Guangtong Ma, Taoning Zhu, Yu Ren, et al.
(2024)
Closed Access
Intelligent Fault Diagnosis Method Based on Cross-Device Secondary Transfer Learning of Efficient Gated Recurrent Unit Network
Chaoquan Mo, Ke Huang
Sensors (2024) Vol. 24, Iss. 13, pp. 4070-4070
Open Access
Prediction of inlet gas volume fraction of rotary vane pump under variable operational conditions with 1DCNN-TL model utilizing vibration signals
Denghui He, Kaijie Ye, Jiaqi Yuan, et al.
International Journal of Heat and Fluid Flow (2024) Vol. 110, pp. 109588-109588
Closed Access
Diagnosis of incipient faults in wind turbine bearings based on ICEEMDAN–IMCKD
Yanjun Li, DJ Han
International journal of mechanical system dynamics (2024)
Open Access
Wheel-rail force inversion via transfer learning-based residual LSTM neural network with temporal pattern attention mechanism
Taoning Zhu, Yu Ren, Huailong Shi, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112135-112135
Closed Access
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