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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:

Identifying Bearing Faults Using Multiscale Residual Attention and Multichannel Neural Network
Chun‐Yao Lee, Guang‐Lin Zhuo
IEEE Access (2023) Vol. 11, pp. 26953-26963
Open Access | Times Cited: 11

Showing 11 citing articles:

Selective Feature Reinforcement Network for Robust Remote Fault Diagnosis of Wind Turbine Bearing Under Non-Ideal Sensor Data
Jinbiao Tan, Jiafu Wan, Baotong Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 5
Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments
Ali Saeed, Muazzam A. Khan, Usman Akram, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Optimal Robust Time-Domain Feature Based Bearing Fault and Stator Fault Diagnosis
G. Geetha, P. Geethanjali
IEEE Open Journal of the Industrial Electronics Society (2024) Vol. 5, pp. 562-574
Open Access | Times Cited: 3
A novel multi-scale convolutional neural network incorporating multiple attention mechanisms for bearing fault diagnosis
Baoquan Hu, Jun Liu, Yue Xu
Measurement (2024) Vol. 242, pp. 115927-115927
Closed Access | Times Cited: 3
Fault identification model of diesel engine based on mixed attention: Single-cylinder fault data driven whole-cylinder diagnosis
Shilong Chu, Jinjie Zhang, Fengchun Liu, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124769-124769
Closed Access | Times Cited: 1
Rolling bearing fault diagnosis method based on multi-scale pooling residual convolutional neural network under noisy environment
Chengxiang Miao, Chunli Lei, Y.B. Yu, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024)
Open Access | Times Cited: 1
Deep Learning Based Approaches for Intelligent Industrial Machineryhealth Management & Fault Diagnosis in Resource-Constrainedenvironments
Ali Saeed Khan
(2024)
Closed Access
An Interpretable Hybrid Framework Combining Convolution Latent Vectors with Transformers Based Attention Mechanism for Rolling Element Fault Detection and Classification
Ali Saeed Khan, Muhammad Usman Akram, Muazzam A. Khan, et al.
(2024)
Closed Access
Universal domain adaptation for machinery fault diagnosis based on multi‐scale dual attention network and entropy‐based clustering
Chun‐Yao Lee, Guang‐Lin Zhuo
IET Science Measurement & Technology (2024) Vol. 18, Iss. 9, pp. 522-533
Open Access
An Interpretable Hybrid Framework Combining Convolution Latent Vectors with Transformer based Attention Mechanism for Rolling Element Fault Detection and Classification
Ali Saeed, Muhammad Usman Akram, Muazzam Khan Khattak, et al.
Heliyon (2024) Vol. 10, Iss. 21, pp. e38993-e38993
Open 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
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