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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:

Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15

Showing 15 citing articles:

Multiscale Dynamic Weight Based Mixed Convolutional Neural Network for Fault Diagnosis of Rotating Machinery
Wenliao Du, Lingkai Yang, Xiaoyun Gong, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-11
Closed Access
Recent Progress in Digital Twin-Driven Fault Diagnosis of Rotating Machinery：A Comprehensive Review
Zhang Pengbo, Renxiang Chen, Lixia Yang, et al.
Neurocomputing (2025), pp. 129914-129914
Closed Access
A Survey on Fault Diagnosis of Rotating Machinery Based on Machine Learning
Qi Wang, Rui Huang, Jianbin Xiong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 102001-102001
Closed Access | Times Cited: 3
Application of wavelet dynamic joint adaptive network guided by pseudo-label alignment mechanism in gearbox fault diagnosis
Z Shao, Hong Jiang, Xiangfeng Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116111-116111
Closed Access | Times Cited: 2
Fault Detection of Rotating Machines Using poly-Coherent Composite Spectrum of Measured Vibration Responses with Machine Learning
Khalid M. Almutairi, Jyoti K. Sinha, Haobin Wen
Machines (2024) Vol. 12, Iss. 8, pp. 573-573
Open Access | Times Cited: 1
Batch channel normalized-CWGAN with Swin Transformer for imbalanced data fault diagnosis of rotating machinery
Wenlong Fu, Bo Zheng, Shuai Li, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016207-016207
Closed Access | Times Cited: 1
Neural-Network-Based Active Vibration Control of Rotary Machines
Sina Piramoon, Mohammad A. Ayoubi
IEEE Access (2024) Vol. 12, pp. 107552-107569
Open Access
TSMDA: intelligent fault diagnosis of rolling bearing with two stage multi-source domain adaptation
Qianqian Zhang, Zhongwei Lv, Caiyun Hao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116112-116112
Closed Access
Enhancing underwater thruster anomaly detection with support vector glow encoding description
Wenliao Du, Zihan Xiong, Pinfang Zhu, et al.
Ocean Engineering (2024) Vol. 314, pp. 119655-119655
Closed Access
An enhanced deep intelligent model with feature fusion and ensemble learning for the fault diagnosis of rotating machinery
Kejia Zhuang, Bin Deng, Huai Chen, et al.
Structural Health Monitoring (2024)
Closed Access
A novel decoupling method of compound faults with incomplete dataset of rotating machinery
Aijun Hu, Bowen Yang, Lei Xing, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086136-086136
Open Access
Multi-scale quaternion CNN and BiGRU with cross self-attention feature fusion for fault diagnosis of bearing
Huanbai Liu, Fanlong Zhang, Yin Tan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086138-086138
Open Access
LiteFDNet: A Lightweight Network for Current Sensor-Based Bearing Fault Diagnosis
Junseok Lee, Suyeon Park, Sijong Kim, et al.
IEEE Access (2024) Vol. 12, pp. 100493-100505
Open Access
Fault Diagnosis for Rotating Machinery Based on Dimensionless Indices: Current Status, Development, Technologies, and Future Directions
Qinghua Zhang, Naiquan Su, Binbin Qin, et al.
Electronics (2024) Vol. 13, Iss. 24, pp. 4931-4931
Open Access
Higher-Order Spectral Analysis and Artificial Intelligence for Diagnosing Faults in Electrical Machines: An Overview
Miguel Martínez, José A. Antonino-Daviu, Larisa Dunai, et al.
Mathematics (2024) Vol. 12, Iss. 24, pp. 4032-4032
Open Access
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