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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:

Fault transfer diagnosis of rolling bearings across multiple working conditions via subdomain adaptation and improved vision transformer network
Pengfei Liang, Zhuoze Yu, Bin Wang, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102075-102075
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise
Dezun Zhao, Wenbin Cai, Lingli Cui
Advanced Engineering Informatics (2024) Vol. 61, pp. 102559-102559
Closed Access | Times Cited: 46
Single and simultaneous fault diagnosis of gearbox via wavelet transform and improved deep residual network under imbalanced data
Suiyan Wang, Jiaye Tian, Pengfei Liang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108146-108146
Closed Access | Times Cited: 39
Multi-sensor fusion fault diagnosis method of wind turbine bearing based on adaptive convergent viewable neural networks
Xinming Li, Yanxue Wang, Jiachi Yao, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109980-109980
Closed Access | Times Cited: 33
Multi-sensor data fusion-enabled lightweight convolutional double regularization contrast transformer for aerospace bearing small samples fault diagnosis
Yutong Dong, Hongkai Jiang, Mingzhe Mu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102573-102573
Closed Access | Times Cited: 22
A new multi-source information domain adaption network based on domain attributes and features transfer for cross-domain fault diagnosis
Yue Yu, Hamid Reza Karimi, Peiming Shi, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111194-111194
Open Access | Times Cited: 20
Fault diagnosis study of hydraulic pump based on improved symplectic geometry reconstruction data enhancement method
Siyuan Liu, Jixiong Yin, Ming Hao, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102459-102459
Closed Access | Times Cited: 19
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
A multi-sensor fused incremental broad learning with D-S theory for online fault diagnosis of rotating machinery
Xuefang Xu, Shuo Bao, Haidong Shao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102419-102419
Closed Access | Times Cited: 17
A fusion TFDAN-Based framework for rotating machinery fault diagnosis under noisy labels
Xiaoming Yuan, Zhikang Zhang, Pengfei Liang, et al.
Applied Acoustics (2024) Vol. 219, pp. 109940-109940
Closed Access | Times Cited: 17
A separate modeling approach to noisy displacement prediction of concrete dams via improved deep learning with frequency division
Minghao Li, Qiubing Ren, Mingchao Li, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102367-102367
Closed Access | Times Cited: 16
A modified active learning intelligent fault diagnosis method for rolling bearings with unbalanced samples
Jiantao Lu, Wei Wu, Xin Huang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102397-102397
Closed Access | Times Cited: 16
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds
Bin Pang, Qiuhai Liu, Zhenduo Sun, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102304-102304
Closed Access | Times Cited: 39
Triplet attention-enhanced residual tree-inspired decision network: A hierarchical fault diagnosis model for unbalanced bearing datasets
Lingli Cui, Zhilin Dong, Hai Xu, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102322-102322
Closed Access | Times Cited: 32
Multi-source information joint transfer diagnosis for rolling bearing with unknown faults via wavelet transform and an improved domain adaptation network
Pengfei Liang, Jiaye Tian, Suiyan Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109788-109788
Closed Access | Times Cited: 29
Semi-supervised fault diagnosis of gearbox based on feature pre-extraction mechanism and improved generative adversarial networks under limited labeled samples and noise environment
Lijie Zhang, Bin Wang, Pengfei Liang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102211-102211
Closed Access | Times Cited: 27
An ensembled remaining useful life prediction method with data fusion and stage division
Yajing Li, Zhijian Wang, Feng Li, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109804-109804
Closed Access | Times Cited: 23
Fault diagnosis of gearbox driven by vibration response mechanism and enhanced unsupervised domain adaptation
Fei Jiang, Weiqi Lin, Zhaoqian Wu, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102460-102460
Closed Access | Times Cited: 13
Semi-supervised meta-path space extended graph convolution network for intelligent fault diagnosis of rotating machinery under time-varying speeds
Ying Li, Lijie Zhang, Pengfei Liang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110363-110363
Closed Access | Times Cited: 13
Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis
Xiao Zhang, Weiguo Huang, Chuancang Ding, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102538-102538
Closed Access | Times Cited: 12
A digital twin-driven approach for partial domain fault diagnosis of rotating machinery
Jingyan Xia, Zhuyun Chen, Jiaxian Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107848-107848
Closed Access | Times Cited: 11
SSPENet: Semi-supervised prototype enhancement network for rolling bearing fault diagnosis under limited labeled samples
Xuejian Yao, Xingchi Lu, Quan Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102560-102560
Closed Access | Times Cited: 11
A novel self-supervised representation learning framework based on time-frequency alignment and interaction for mechanical fault diagnosis
Daxing Fu, Jie Liu, Hao Zhong, et al.
Knowledge-Based Systems (2024) Vol. 295, pp. 111846-111846
Closed Access | Times Cited: 10
Open-set domain generalization for fault diagnosis through data augmentation and a dual-level weighted mechanism
Chuanxia Jian, Yonghe Peng, Guopeng Mo, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102703-102703
Closed Access | Times Cited: 7
An attention-based multi-scale temporal convolutional network for remaining useful life prediction
Zhiqiang Xu, Yujie Zhang, Qiang Miao
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110288-110288
Closed Access | Times Cited: 7
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