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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:

Modified DSAN for unsupervised cross-domain fault diagnosis of bearing under speed fluctuation
Jingjie Luo, Haidong Shao, Hongru Cao, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 180-191
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Towards trustworthy rotating machinery fault diagnosis via attention uncertainty in transformer
Yiming Xiao, Haidong Shao, Minjie Feng, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 186-201
Open Access | Times Cited: 108
Meta-learning with elastic prototypical network for fault transfer diagnosis of bearings under unstable speeds
Jingjie Luo, Haidong Shao, Jian Lin, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110001-110001
Closed Access | Times Cited: 89
Interpretable physics-informed domain adaptation paradigm for cross-machine transfer diagnosis
Chao He, Hongmei Shi, Xiaorong Liu, et al.
Knowledge-Based Systems (2024) Vol. 288, pp. 111499-111499
Closed Access | Times Cited: 20
Towards multi-scene learning: A novel cross-domain adaptation model based on sparse filter for traction motor bearing fault diagnosis in high-speed EMU
Feiyu Lu, Qingbin Tong, Jianjun Xu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102536-102536
Closed Access | Times Cited: 18
Multi-perception Graph Convolutional Tree-embedded Network for Aero-engine Bearing Health Monitoring with Unbalanced Data
Dezun Zhao, Wenbin Cai, Lingli Cui
Reliability Engineering & System Safety (2025) Vol. 257, pp. 110888-110888
Closed Access | Times Cited: 2
Compound fault diagnosis for industrial robots based on dual-transformer networks
Chong Chen, Chao Liu, Tao Wang, et al.
Journal of Manufacturing Systems (2022) Vol. 66, pp. 163-178
Open Access | Times Cited: 47
Multilayer Grad-CAM: An effective tool towards explainable deep neural networks for intelligent fault diagnosis
Sinan Li, Tianfu Li, Chuang Sun, et al.
Journal of Manufacturing Systems (2023) Vol. 69, pp. 20-30
Closed Access | Times Cited: 39
Adaptive Class Center Generalization Network: A Sparse Domain-Regressive Framework for Bearing Fault Diagnosis Under Unknown Working Conditions
Wang Bin, Long Wen, Xinyu Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 29
Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning
Yutong Dong, Hongkai Jiang, Renhe Yao, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109805-109805
Closed Access | Times Cited: 28
IDSN: A one-stage interpretable and differentiable STFT domain adaptation network for traction motor of high-speed trains cross-machine diagnosis
Chao He, Hongmei Shi, Jianbo Li
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110846-110846
Closed Access | Times Cited: 27
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
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
Source-free domain adaptation method for fault diagnosis of rotation machinery under partial information
Aobo Yu, Bolin Cai, Qiujie Wu, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110181-110181
Closed Access | Times Cited: 7
Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples
Feiyu Lu, Qingbin Tong, Xuedong Jiang, et al.
Computers in Industry (2024) Vol. 164, pp. 104169-104169
Closed Access | Times Cited: 5
Triplet adversarial Learning-driven graph architecture search network augmented with Probsparse-attention mechanism for fault diagnosis under Few-shot & Domain-shift
Yuanhong Chang, Jinglong Chen, Weiguang Zheng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110462-110462
Closed Access | Times Cited: 13
Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions
Xuefang Xu, Xu Yang, Zijian Qiao, et al.
Knowledge-Based Systems (2024) Vol. 302, pp. 112396-112396
Closed Access | Times Cited: 4
Mode recognition in a kerosene-fueled scramjet combustor by a Swin Transformer neural network
Qingcai Guan, Dong Xue, Wei Zhang, et al.
Physics of Fluids (2025) Vol. 37, Iss. 2
Closed Access
KMDSAN: A novel method for cross-domain and unsupervised bearing fault diagnosis
Shuping Wu, Peiming Shi, Xuefang Xu, et al.
Knowledge-Based Systems (2025), pp. 113170-113170
Closed Access
Calibrated source-free adaptation for intelligent diagnosis
Hao Li, Zongyang Liu, Jing Lin, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112582-112582
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
Domain adaptation with label-aligned sampling (DALAS) for cross-domain fault diagnosis of rotating machinery under class imbalance
Jinwook Lee, Jin Uk Ko, Tae-Hun Kim, et al.
Expert Systems with Applications (2023) Vol. 243, pp. 122910-122910
Closed Access | Times Cited: 11
Subdomain Adaptation Order Network for Fault Diagnosis of Brushless DC Motors
Chong Luo, Jianyu Wang, Enrico Zio, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 3
Unsupervised rolling bearing fault diagnosis method across working conditions based on multiscale convolutional neural network
H.C. Fu, Di Yu, Changshu Zhan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035018-035018
Closed Access | Times Cited: 10
Cross-domain transfer fault diagnosis by class-imbalanced deep subdomain adaptive network
Jianyu Zhou, Xiangfeng Zhang, Hong Jiang, et al.
Measurement (2024) Vol. 242, pp. 115901-115901
Closed Access | Times Cited: 3
Rolling bearing fault diagnosis under time-varying speeds based on time-characteristic order spectrum and multi-scale domain adaptation network
Zhenli Xu, Guiji Tang, Bin Pang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125118-125118
Closed Access | Times Cited: 7
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