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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:

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

Showing 1-25 of 32 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
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples
Zhenya Wang, Qiusheng Luo, Hui Chen, et al.
Computers in Industry (2024) Vol. 159-160, pp. 104099-104099
Closed Access | Times Cited: 35
Double attention-guided tree-inspired grade decision network: A method for bearing fault diagnosis of unbalanced samples under strong noise conditions
Zhilin Dong, Yonghua Jiang, Weidong Jiao, et al.
Advanced Engineering Informatics (2025), pp. 103004-103004
Closed Access | Times Cited: 4
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
Multi-scale dynamic graph mutual information network for planet bearing health monitoring under imbalanced data
Wenbin Cai, Dezun Zhao, Tianyang Wang
Advanced Engineering Informatics (2025) Vol. 64, pp. 103096-103096
Closed Access | Times Cited: 1
Rotating machinery fault classification based on one-dimensional residual network with attention mechanism and bidirectional gated recurrent unit
Zhilin Dong, Dezun Zhao, Lingli Cui
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086001-086001
Closed Access | Times Cited: 13
Stockwell transform spectral amplitude modulation method for rotating machinery fault diagnosis
Wanming Ying, Yongbo Li, Khandaker Noman, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111884-111884
Closed Access | Times Cited: 7
MSE-NERSPPNet: A Multi-Channel Framework for Bearing Fault Diagnosis in the Presence of Imbalanced Samples
D. Lin, Zhilin Dong, Jianfeng Sun, et al.
Research Square (Research Square) (2025)
Closed Access
Transparent information fusion network: An explainable network for multi-source bearing fault diagnosis via self-organized neural-symbolic nodes
Qi Li, Lichang Qin, Haifeng Xu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103156-103156
Closed Access
Dynamic Model-driven Dictionary Learning-inspired Domain Adaptation Strategy for Cross-domain Bearing Fault Diagnosis
Zhengyu Du, Dongdong Liu, Lingli Cui
Reliability Engineering & System Safety (2025), pp. 110905-110905
Closed Access
Remaining useful life prediction for solid-state lithium batteries based on spatial-temporal relations and neuronal ODE-assisted KAN
Zhenxi Wang, Yan Ma, Jinwu Gao, et al.
Reliability Engineering & System Safety (2025), pp. 111003-111003
Closed Access
Envelope Spectrum Knowledge-Guided Domain Invariant Representation Learning Strategy for Intelligent Fault Diagnosis of Bearing
Zhi Tang, Lin Bo, Hao Bai, et al.
ISA Transactions (2025)
Closed Access
FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification
Anthony Y. Zhou, Amir Barati Farimani
IEEE Access (2024) Vol. 12, pp. 70719-70728
Open Access | Times Cited: 4
Twins Transformer: Rolling Bearing Fault Diagnosis based on Cross-attention Fusion of Time and Frequency Domain Features
Zhikang Gao, Yanxue Wang, Xinming Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096113-096113
Closed Access | Times Cited: 4
Fault diagnosis of rotating machinery with high-dimensional imbalance samples based on wavelet random forest
Zhen Guo, Wenliao Du, Chuan Li, et al.
Measurement (2025), pp. 116936-116936
Closed Access
An intelligent fault diagnosis model for bearings with adaptive hyperparameter tuning in multi-condition and limited sample scenarios
Jianqiao Li, Zhihao Huang, Liang Jiang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
KAN-HyperMP: An Enhanced Fault Diagnosis Model for Rolling Bearings in Noisy Environments
Jun Wang, Zhilin Dong, Shuang Zhang
Sensors (2024) Vol. 24, Iss. 19, pp. 6448-6448
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
A frequency channel-attention based vision Transformer method for bearing fault identification across different working conditions
Ling Xiang, Hankun Bing, Xianze Li, et al.
Expert Systems with Applications (2024) Vol. 262, pp. 125686-125686
Closed Access | Times Cited: 3
A framework for anomaly classification in Industrial Internet of Things systems
Martha Rodríguez, Diana P. Tobón, Danny Múnera
Internet of Things (2024), pp. 101446-101446
Open Access | Times Cited: 2
Few-shot fault diagnosis for machinery using multi-scale perception multi-level feature fusion image quadrant entropy
Zhenya Wang, Liang Pan, Rengui Bai, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102972-102972
Closed Access | Times Cited: 2
High-dimensional extracting chirplet transform for fault diagnosis of wind turbines
Dezun Zhao, Honghao Wang, Tianyang Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 25404-25413
Closed Access | Times Cited: 1
Partial Transfer Learning Method Based on Inter-Class Feature Transfer for Rolling Bearing Fault Diagnosis
Hongbo Que, Xuyan Liu, Siqin Jin, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5165-5165
Open Access | Times Cited: 1
Fault diagnosis method for bearings under variable working conditions based on transfer relation network
ran zhang, Zhihong Zhao, Tao Xu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126202-126202
Closed Access | Times Cited: 1
SPRout-DBN：A Cross Domain Bearing Fault Diagnosis Method Based on Spatial Pyramid Pooling Residual Network-DBN
D. Lin, Jiao Wei-dong, Zhilin Dong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125020-125020
Closed Access | Times Cited: 1
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