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:

Explainable Graph Wavelet Denoising Network for Intelligent Fault Diagnosis
Tianfu Li, Chuang Sun, Sinan Li, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 6, pp. 8535-8548
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Wavelet transform for rotary machine fault diagnosis:10 years revisited
Ruqiang Yan, Zuogang Shang, Hong Xu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110545-110545
Closed Access | Times Cited: 100

Physics-informed interpretable wavelet weight initialization and balanced dynamic adaptive threshold for intelligent fault diagnosis of rolling bearings
Chao He, Hongmei Shi, Jin Si, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 579-592
Closed Access | Times Cited: 59

Dconformer: A denoising convolutional transformer with joint learning strategy for intelligent diagnosis of bearing faults
Sheng Li, Jinchen Ji, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111142-111142
Closed Access | Times Cited: 30

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

Filter-Informed Spectral Graph Wavelet Networks for Multiscale Feature Extraction and Intelligent Fault Diagnosis
Tianfu Li, Chuang Sun, Olga Fink, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 1, pp. 506-518
Open Access | Times Cited: 29

WPConvNet: An Interpretable Wavelet Packet Kernel-Constrained Convolutional Network for Noise-Robust Fault Diagnosis
Sinan Li, Tianfu Li, Chuang Sun, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14974-14988
Closed Access | Times Cited: 24

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

Graph structure few-shot prognostics for machinery remaining useful life prediction under variable operating conditions
Peng Ding, Jun Xia, Xiaoli Zhao, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102360-102360
Closed Access | Times Cited: 14

Explainable Deep Ensemble Model for Bearing Fault Diagnosis Under Variable Conditions
Zhuyun Chen, Qin Wu, Guolin He, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 15, pp. 17737-17750
Closed Access | Times Cited: 19

Physics-guided degradation trajectory modeling for remaining useful life prediction of rolling bearings
Chen Yin, Yuqing Li, Yulin Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112192-112192
Closed Access | Times Cited: 6

Hybrid Anomaly Detection Model on Trusted IoT Devices
Paúl D. Rosero-Montalvo, Zsolt István, Pınar Tözün, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 12, pp. 10959-10969
Open Access | Times Cited: 14

Graph attention U-Net to fuse multi-sensor signals for long-tailed distribution fault diagnosis
Yuangui Yang, Tianfu Li, Chuang Sun, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106927-106927
Closed Access | Times Cited: 14

Interpretable temporal degradation state chain based fusion graph for intelligent bearing fault detection
Tangbin Xia, Xueqi Xing, Tongtong Yan, et al.
Advanced Engineering Informatics (2024) Vol. 59, pp. 102342-102342
Closed Access | Times Cited: 4

An Interpretable Multiplication-Convolution Network for Equipment Intelligent Edge Diagnosis
Rui Liu, Xiaoxi Ding, Qihang Wu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 6, pp. 3284-3295
Closed Access | Times Cited: 4

Wavelet-driven differentiable architecture search for planetary gear fault diagnosis
Yanghu Wang, Zheng Zhou, Laihao Yang, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 587-593
Closed Access | Times Cited: 4

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: 4

A novel unsupervised graph wavelet autoencoder for mechanical system fault detection
Tianfu Li, Chuang Sun, Ruqiang Yan, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 4

Source-free Progressive Domain Adaptation Network for Universal Cross-domain Fault Diagnosis of Industrial Equipment
Jipu Li, Ke Yue, Zhaoqian Wu, et al.
IEEE Sensors Journal (2025) Vol. 25, Iss. 5, pp. 8067-8078
Closed Access

Graph Optimization Algorithm Enhanced by Dual-Scale Spectral Features with Contrastive Learning for Robust Bearing Fault Diagnosis
Ying Li, Xiaoping Liu, Junhui Hu, et al.
Knowledge-Based Systems (2025), pp. 113275-113275
Closed Access

A novel graph structure data-driven crack damage identification for compressor blade based on vibro-acoustic signal
Peng Ding, Di Song, Junxian Shen, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 2

Unsupervised graph transfer network with hybrid attention mechanisms for fault diagnosis under variable operating conditions
Zihao Lei, Feiyu Tian, Yu Su, et al.
Reliability Engineering & System Safety (2024), pp. 110684-110684
Closed Access | Times Cited: 2

Ensemble Data Augmentation for Imbalanced Fault Diagnosis
Xiaoyu Jiang, Junhua Zheng, Xinzhen Zhuang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 6

Trustworthy Artificial Intelligence Based on an Explicable Temporal Feature Network for Industrial Fault Diagnosis
Junwei Hu, Yong Zhang, Weigang Li, et al.
Cognitive Computation (2023) Vol. 16, Iss. 2, pp. 534-545
Closed Access | Times Cited: 5

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