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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:

Auto-Embedding Transformer for Interpretable Few-Shot Fault Diagnosis of Rolling Bearings
Gang Wang, Dongdong Liu, Lingli Cui
IEEE Transactions on Reliability (2023) Vol. 73, Iss. 2, pp. 1270-1279
Closed Access | Times Cited: 24

Showing 24 citing articles:

Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing
Lingli Cui, Yongchang Xiao, Dongdong Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109991-109991
Closed Access | Times Cited: 41
An intelligent bearing fault diagnosis framework: one-dimensional improved self-attention-enhanced CNN and empirical wavelet transform
Zhilin Dong, Dezun Zhao, Lingli Cui
Nonlinear Dynamics (2024) Vol. 112, Iss. 8, pp. 6439-6459
Open Access | Times Cited: 35
Counterfactual-augmented few-shot contrastive learning for machinery intelligent fault diagnosis with limited samples
Yunpeng Liu, Hongkai Jiang, Renhe Yao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 216, pp. 111507-111507
Closed Access | Times Cited: 32
A novel adaptive generalized domain data fusion-driven kernel sparse representation classification method for intelligent bearing fault diagnosis
Lingli Cui, Zhichao Jiang, Dongdong Liu, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123225-123225
Closed Access | Times Cited: 26
A Novel Robust Dual Unscented Particle Filter Method for Remaining Useful Life Prediction of Rolling Bearings
Lingli Cui, Wenjie Li, Dongdong Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 16
A temporal-spatial multi-order weighted graph convolution network with refined feature topology graph for imbalance fault diagnosis of rotating machinery
Zhichao Jiang, Dongdong Liu, Lingli Cui
Reliability Engineering & System Safety (2025), pp. 110830-110830
Closed Access | Times Cited: 1
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
Advancing RUL prediction in mechanical systems: A hybrid deep learning approach utilizing non-full lifecycle data
Tianjiao Lin, Liuyang Song, Lingli Cui, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102524-102524
Closed Access | Times Cited: 6
A comprehensive review of deep learning-based fault diagnosis approaches for rolling bearings: Advancements and challenges
Jingxin ZHAO, Wenming Wang, Ji Huang, et al.
AIP Advances (2025) Vol. 15, Iss. 2
Open Access
Fault diagnosis of planetary gears in noisy environments using a VMTransformer model
Dexian Wang, Xingye Xu, Jinghui Yang, et al.
Measurement Science and Technology (2025) Vol. 36, Iss. 3, pp. 036209-036209
Closed Access
Lightweight rotating machinery fault diagnosis based on quadratic convolutional neural network and evidence fusion of multi-source sensor information
Shanshan Wang, W. Y. Han, Hao Zhang, et al.
Journal of Instrumentation (2025) Vol. 20, Iss. 02, pp. P02019-P02019
Closed Access
A spectral coherence cyclic periodic index optimization-gram for bearing fault diagnosis
Lingli Cui, Xinyuan Zhao, Dongdong Liu, et al.
Measurement (2023) Vol. 224, pp. 113898-113898
Closed Access | Times Cited: 10
A new multiple mixed augmentation-based transfer learning method for machinery fault diagnosis
Hangqi Ge, Changqing Shen, Xinhai Lin, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086141-086141
Open Access | Times Cited: 3
Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery
Gang Chen, Junlin Yuan, Yiyue Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 103348-103379
Open Access | Times Cited: 3
Attention guided partial domain adaptation for interpretable transfer diagnosis of rotating machinery
Gang Wang, Dongdong Liu, Jiawei Xiang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102708-102708
Closed Access | Times Cited: 3
Dictionary domain adaptation transformer for cross-machine fault diagnosis of rolling bearings
Lingli Cui, Gang Wang, Dongdong Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109261-109261
Closed Access | Times Cited: 2
Research on Fault Diagnosis of Rotating Parts Based on Transformer Deep Learning Model
Zilin Zhang, Yaohua Deng, Xiali Liu, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10095-10095
Open Access | Times Cited: 2
Multi-graph attention fusion graph neural network for remaining useful life prediction of rolling bearings
Yongchang Xiao, Lingli Cui, Dongdong Liu
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106125-106125
Closed Access | Times Cited: 1
Synergistic TransGCN for Aeroengine Bearing Skidding Diagnosis Under Time-Varying Conditions
Leiming Ma, Bin Jiang, Ningyun Lu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 12, pp. 13936-13946
Closed Access | Times Cited: 1
An Uncertainty-Incorporated Active Data Diffusion Learning Framework for Few-Shot Equipment RUL Prediction
Chao Zhang, Daqing Gong, Gang Xue
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110632-110632
Closed Access | Times Cited: 1
A Bearing Fault Diagnosis Method in Scenarios of Imbalanced Samples and Insufficient Labeled Samples
Xiaohan Cheng, Yuxin Lu, Zhihao Liang, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8582-8582
Open Access
An Interpretable Hybrid Framework Combining Convolution Latent Vectors with Transformer based Attention Mechanism for Rolling Element Fault Detection and Classification
Ali Saeed, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Heliyon (2024) Vol. 10, Iss. 21, pp. e38993-e38993
Open Access
Fault Diagnosis of Rolling Bearing Using Convolutional Denoising Autoencoder and Siamese Neural Network With Small Sample
Xufeng Zhao, Ying Chen, Mengshu Yang, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 5233-5244
Closed Access
SC-MambaFew: Few-shot learning based on Mamba and selective spatial-channel attention for bearing fault diagnosis
Gia-Bao Truong, Thi-Thao Tran, Thanh N. Nguyen, et al.
Computers & Electrical Engineering (2024) Vol. 123, pp. 110004-110004
Closed Access
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