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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:

A Novel Local Binary Temporal Convolutional Neural Network for Bearing Fault Diagnosis
Yihao Xue, Rui Yang, Xiaohan Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Online Open-Circuit Fault Diagnosis for Neutral Point Clamped Inverter Based on an Improved Convolutional Neural Network and Sample Amplification Method Under Varying Operating Conditions
Haolan Shen, Xin Tang, Yifei Luo, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 7
Machine learning-based extraction of mechanical properties from multi-fidelity small punch test data
Z. Yang, J. H. Zou, Li Huang, et al.
Advances in Manufacturing (2025)
Closed Access
Dynamic model-assisted disentanglement framework for rolling bearing fault diagnosis under time-varying speed conditions
Yuhui Xu, Yimin Jiang, Tangbin Xia, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112588-112588
Closed Access
Class Imbalance Wafer Defect Pattern Recognition Based on Shared-Database Decentralized Federated Learning Framework
Yong Zhang, Rukai Lan, X Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-17
Closed Access | Times Cited: 4
TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault diagnosis
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
Control Engineering Practice (2024) Vol. 146, pp. 105900-105900
Closed Access | Times Cited: 3
Real-time bearing fault classification of induction motor using enhanced inception ResNet-V2
Karan Kumar K, Srihari Mandava
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 3
Deep Morphological Shrinkage Convolutional Autoencoder-Based Feature Learning of Vibration Signals for Gearbox Fault Diagnosis
Zhuang Ye, Yue Shang, Pu Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 2
Bi-level binary coded fully connected classifier based on residual network 50 with bottom and deep level features for bearing fault diagnosis
Linfei Yin, Zixuan Wang
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108342-108342
Closed Access | Times Cited: 2
A Novel Cross-Domain Data Augmentation and Bearing Fault Diagnosis Method Based on an Enhanced Generative Model
Shilong Sun, Hao Ding, Haodong Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 2
A Review on Transferability Estimation in Deep Transfer Learning
Yihao Xue, Rui Yang, Xiaohan Chen, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 12, pp. 5894-5914
Closed Access | Times Cited: 2
Semi-supervised small-sample gearbox fault diagnosis with privacy protection
Xin He, Yaqiong Duan, Zidong Wang, et al.
Scientia Sinica Technologica (2024)
Open Access | Times Cited: 1
A stable and robust fault diagnosis method for bearing using lightweight batch normalization-free residual network
B.H. Zhu, Chunmeng He
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106115-106115
Closed Access | Times Cited: 1
A causality guided loss for imbalanced learning in scene graph generation
Ru Peng, Chao Zhao, Xingyu Chen, et al.
Neurocomputing (2024) Vol. 599, pp. 128042-128042
Closed Access | Times Cited: 1
Improved Fault Detection Using Shifting Window Data Augmentation of Induction Motor Current Signals
Robert Wright, Poria Fajri, Xingang Fu, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 3956-3956
Open Access | Times Cited: 1
Emotion knowledge-based fine-grained facial expression recognition
Jiacheng Zhu, Yu Ding, Hanwei Liu, et al.
Neurocomputing (2024) Vol. 610, pp. 128536-128536
Closed Access | Times Cited: 1
Multi-timescale Attention Residual Shrinkage Network with Adaptive Global-Local Denoising for Rolling-Bearing Fault Diagnosis
Huihui Gao, Xiaoran Zhang, Xuejin Gao, et al.
Knowledge-Based Systems (2024) Vol. 304, pp. 112478-112478
Closed Access | Times Cited: 1
A Fast and Accurate Lempel–Ziv Complexity Indicator Based on Data Compression and Multiscale Coding for Recognition of Bearing Fault Severity
Jiancheng Yin, Xuye Zhuang, Wentao Sui, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
Optimal bipartite graph matching-based goal selection for policy-based hindsight learning
Shiguang Sun, Hanbo Zhang, Zeyang Liu, et al.
Neurocomputing (2024) Vol. 591, pp. 127734-127734
Closed Access
PSO-optimized SSLMS adaptive filter for signal denoising of rolling bearings under small sample condition
Linfeng Deng, Xiaoqiang Wang
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096115-096115
Closed Access
Deep Learning based Approaches for Intelligent Industrial Machinery Health Management & Fault Diagnosis in Resource-Constrained Environments
Ali Saeed Khan, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Research Square (Research Square) (2024)
Open Access
A Semantic-Consistent Conditional Generative Adversarial Model for Zero-Shot Learning In Bearing Fault Diagnosis
Jizheng Chen, Rui Yang
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 1044-1049
Closed Access
Multi-scale Joint Convolution Neural Network integrated CapsNet model for Machinery Fault Diagnosis
Huangkun Xing, Xingxing Jiang, Qiuyu Song, et al.
(2024), pp. 293-299
Closed Access
Multi-Modal Self-Supervised Learning for Cross-Domain One-Shot Bearing Fault Diagnosis
Xiaohan Chen, Yihao Xue, Mengjie Huang, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 4, pp. 746-751
Open Access
Multi-Sensor Temporal-Spatial Graph Network Fusion Empirical Mode Decomposition Convolution for Machine Fault Diagnosis
Kuangchi Sun, Aijun Yin
Information Fusion (2024), pp. 102708-102708
Closed Access
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