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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:

Rotating Machinery Fault Diagnosis Through a Transformer Convolution Network Subjected to Transfer Learning
Xinglong Pei, Xiaoyang Zheng, Jinliang Wu
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Diagnosisformer: An efficient rolling bearing fault diagnosis method based on improved Transformer
Yandong Hou, Jinjin Wang, Zhengquan Chen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106507-106507
Closed Access | Times Cited: 79
Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1305-1305
Open Access | Times Cited: 65
Thermal fault prognosis of lithium-ion batteries in real-world electric vehicles using self-attention mechanism networks
Jichao Hong, Huaqin Zhang, Xiaoming Xu
Applied Thermal Engineering (2023) Vol. 226, pp. 120304-120304
Closed Access | Times Cited: 48
PSparseFormer: Enhancing Fault Feature Extraction Based on Parallel Sparse Self-Attention and Multiscale Broadcast Feedforward Block
Jie Wang, Haidong Shao, Ying Peng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22982-22991
Closed Access | Times Cited: 26
Attention on the key modes: Machinery fault diagnosis transformers through variational mode decomposition
Hebin Liu, Qizhi Xu, Xiaolin Han, et al.
Knowledge-Based Systems (2024) Vol. 289, pp. 111479-111479
Closed Access | Times Cited: 16
Underwater Image Enhancement via Adaptive Group Attention-Based Multiscale Cascade Transformer
Zhixiong Huang, Jinjiang Li, Zhen Hua, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-18
Closed Access | Times Cited: 58
ICoT-GAN: Integrated Convolutional Transformer GAN for Rolling Bearings Fault Diagnosis Under Limited Data Condition
Huihui Gao, Xiaoran Zhang, Xuejin Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 31
WSAFormer-DFFN: A model for rotating machinery fault diagnosis using 1D window-based multi-head self-attention and deep feature fusion network
Qingzhe Wei, Xincheng Tian, Long Cui, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106633-106633
Closed Access | Times Cited: 30
A Lightweight Transformer With Strong Robustness Application in Portable Bearing Fault Diagnosis
Hairui Fang, Jialin An, Han Liu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 9, pp. 9649-9657
Closed Access | Times Cited: 23
A sound-vibration physical-information fusion constraint-guided deep learning method for rolling bearing fault diagnosis
You Keshun, Wang Puzhou, Peng Huang, et al.
Reliability Engineering & System Safety (2024), pp. 110556-110556
Closed Access | Times Cited: 9
Research progress on oil-immersed transformer mechanical condition identification based on vibration signals
Yongteng Sun, Hongzhong Ma
Renewable and Sustainable Energy Reviews (2024) Vol. 196, pp. 114327-114327
Closed Access | Times Cited: 8
A Mask Self-Supervised Learning-Based Transformer for Bearing Fault Diagnosis With Limited Labeled Samples
Jian Cen, Zhuohong Yang, Yinbo Wu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 10, pp. 10359-10369
Closed Access | Times Cited: 19
A Novel Multisensor Fusion Transformer and Its Application Into Rotating Machinery Fault Diagnosis
Chaoyang Weng, Baochun Lu, Qian Gu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 17
Digital twin-driven focal modulation-based convolutional network for intelligent fault diagnosis
Sheng Li, Qiubo Jiang, Yadong Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109590-109590
Closed Access | Times Cited: 17
SKND-TSACNN: A novel time-scale adaptive CNN framework for fault diagnosis of rotating machinery
Zidong Yu, Changhe Zhang, Jie Liu, et al.
Knowledge-Based Systems (2023) Vol. 275, pp. 110682-110682
Closed Access | Times Cited: 16
Online Knowledge Distillation-Based Multiscale Threshold Denoising Networks for Fault Diagnosis of Transmission Systems
Yadong Xu, Xiaoan Yan, Beibei Sun, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 2, pp. 4421-4431
Closed Access | Times Cited: 16
Cross-domain bearing fault diagnosis using dual-path convolutional neural networks and multi-parallel graph convolutional networks
Zhang Yong, Songzhao Zhang, Yuhao Zhu, et al.
ISA Transactions (2024) Vol. 152, pp. 129-142
Closed Access | Times Cited: 6
Transformer-based intelligent fault diagnosis methods of mechanical equipment: A survey
Rongcai Wang, Enzhi Dong, Zhonghua Cheng, et al.
Open Physics (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 5
A lightweight transformer based on feature fusion and global-local parallel stacked self-activation unit for bearing fault diagnosis
Yandong Hou, Tianzhi Li, Jinjin Wang, et al.
Measurement (2024) Vol. 236, pp. 115068-115068
Closed Access | Times Cited: 5
Multi-Channel vibration signals fusion based on rolling bearings and MRST-Transformer fault diagnosis model
Xiaoguang Wu, Huadong Peng, Xingyue Cui, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 16336-16346
Closed Access | Times Cited: 4
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access
A Novel Framework Based on Complementary Views for Fault Diagnosis with Cross-Attention Mechanisms
Xiaorong Liu, Zhonghan Chen, Dongfeng Hu, et al.
Electronics (2025) Vol. 14, Iss. 5, pp. 886-886
Open Access
Transformer Fault Diagnosis Method Based on Incomplete Data and TPE-XGBoost
Tonglei Wang, Qun Li, Jinggang Yang, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7539-7539
Open Access | Times Cited: 11
Deep Transfer Learning With Self-Attention for Industry Sensor Fusion Tasks
Ze Zhang, Michael Farnsworth, Boyang Song, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 15, pp. 15235-15247
Open Access | Times Cited: 14
An algorithm for measuring Secchi disk water transparency based on machine vision
Libo Gan, Feng Lin, Qiannan Jin, et al.
Measurement (2024) Vol. 231, pp. 114581-114581
Closed Access | Times Cited: 2
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