Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings
Yifei Ding, Minping Jia, Qiuhua Miao, et al.
Mechanical Systems and Signal Processing (2021) Vol. 168, pp. 108616-108616
Open Access | Times Cited: 245

Showing 26-50 of 245 citing articles:

A systematic literature review of deep learning for vibration-based fault diagnosis of critical rotating machinery: Limitations and challenges
Omri Matania, Itai Dattner, Jacob Bortman, et al.
Journal of Sound and Vibration (2024) Vol. 590, pp. 118562-118562
Closed Access | Times Cited: 15
Adoption and impact of generative artificial intelligence on blockchain-enabled supply chain efficiency
Gao Cong, Kay-Hooi Keoy, Ai‐Fen Lim
Journal of Systems and Information Technology (2025)
Closed Access | Times Cited: 1
Efficient temporal flow Transformer accompanied with multi-head probsparse self-attention mechanism for remaining useful life prognostics
Yuanhong Chang, Fudong Li, Jinglong Chen, et al.
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108701-108701
Closed Access | Times Cited: 60
Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis
Yasong Li, Zheng Zhou, Chuang Sun, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 5, pp. 6180-6193
Closed Access | Times Cited: 60
Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network
Dan Liu, Shisheng Zhong, Lin Lin, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101725-101725
Closed Access | Times Cited: 59
Convolutional Transformer: An Enhanced Attention Mechanism Architecture for Remaining Useful Life Estimation of Bearings
Yifei Ding, Minping Jia
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 58
A Novel Fault Diagnosis Method of Rolling Bearing Based on Integrated Vision Transformer Model
Xinyu Tang, Zengbing Xu, Zhigang Wang
Sensors (2022) Vol. 22, Iss. 10, pp. 3878-3878
Open Access | Times Cited: 53
Intelligent tool wear prediction based on Informer encoder and stacked bidirectional gated recurrent unit
Wangyang Li, Hongya Fu, Zhenyu Han, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 77, pp. 102368-102368
Closed Access | Times Cited: 48
End-to-end chiller fault diagnosis using fused attention mechanism and dynamic cross-entropy under imbalanced datasets
Song-Yu Han, Haidong Shao, Zhiqiang Huo, et al.
Building and Environment (2022) Vol. 212, pp. 108821-108821
Closed Access | Times Cited: 39
Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data
Yudong Cao, Minping Jia, Peng Ding, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 4, pp. 6234-6245
Closed Access | Times Cited: 37
An effective fault diagnosis approach for bearing using stacked de-noising auto-encoder with structure adaptive adjustment
Lerui Chen, Yidan Ma, Heyu Hu, et al.
Measurement (2023) Vol. 214, pp. 112774-112774
Closed Access | Times Cited: 36
A physics-informed feature weighting method for bearing fault diagnostics
Hao Lü, Venkat Pavan Nemani, Vahid Barzegar, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110171-110171
Open Access | Times Cited: 34
Deep learning in fault detection and diagnosis of building HVAC systems: A systematic review with meta analysis
Fan Zhang, Nausheen Saeed, Paria Sadeghian
Energy and AI (2023) Vol. 12, pp. 100235-100235
Open Access | Times Cited: 32
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
Bayesian gated-transformer model for risk-aware prediction of aero-engine remaining useful life
Feifan Xiang, Yiming Zhang, Shuyou Zhang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121859-121859
Closed Access | Times Cited: 29
Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery
Junjun Zhu, Quan Jiang, Yehu Shen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106491-106491
Closed Access | Times Cited: 24
Adaptive weighted generative adversarial network with attention mechanism: A transfer data augmentation method for tool wear prediction
Jianliang He, Yadong Xu, Yi Pan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111288-111288
Closed Access | Times Cited: 10
Electro-hydraulic SBW fault diagnosis method based on novel 1DCNN-LSTM with attention mechanisms and transfer learning
Senhao Zhang, Weihe Liang, Wanzhong Zhao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111644-111644
Closed Access | Times Cited: 10
A multi-scale graph convolutional network with contrastive-learning enhanced self-attention pooling for intelligent fault diagnosis of gearbox
Zixu Chen, Jinchen Ji, Wennian Yu, et al.
Measurement (2024) Vol. 230, pp. 114497-114497
Closed Access | Times Cited: 8
Statistical identification guided open-set domain adaptation in fault diagnosis
Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109047-109047
Closed Access | Times Cited: 30
Multi-source domain generalization for degradation monitoring of journal bearings under unseen conditions
Ning Ding, Hu-Lin Li, Xin Qi, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108966-108966
Closed Access | Times Cited: 27
A Novel Fault Diagnosis Method of Rolling Bearings Combining Convolutional Neural Network and Transformer
Wenkai Liu, Zhigang Zhang, Jiarui Zhang, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1838-1838
Open Access | Times Cited: 20
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 Multi-Information Fusion ViT Model and Its Application to the Fault Diagnosis of Bearing with Small Data Samples
Zengbing Xu, Xinyu Tang, Zhigang Wang
Machines (2023) Vol. 11, Iss. 2, pp. 277-277
Open Access | Times Cited: 17
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

Scroll to top