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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:

An automatic speed adaption neural network model for planetary gearbox fault diagnosis
Peng Chen, Yu Li, Kesheng Wang, et al.
Measurement (2020) Vol. 171, pp. 108784-108784
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Zhiqin Zhu, Yangbo Lei, Guanqiu Qi, et al.
Measurement (2022) Vol. 206, pp. 112346-112346
Closed Access | Times Cited: 283
Deep convolutional generative adversarial network with semi-supervised learning enabled physics elucidation for extended gear fault diagnosis under data limitations
Kai Zhou, Edward Diehl, Jiong Tang
Mechanical Systems and Signal Processing (2022) Vol. 185, pp. 109772-109772
Open Access | Times Cited: 106
Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter
Haihong Tang, Yanmin Tang, Yuxiang Su, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107138-107138
Closed Access | Times Cited: 54
Explicit speed-integrated LSTM network for non-stationary gearbox vibration representation and fault detection under varying speed conditions
Yuejian Chen, Xuemei Liu, Meng Rao, et al.
Reliability Engineering & System Safety (2024), pp. 110596-110596
Closed Access | Times Cited: 16
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
Early bearing fault diagnosis for imbalanced data in offshore wind turbine using improved deep learning based on scaled minimum unscented kalman filter
Haihong Tang, Kun Zhang, Bing Wang, et al.
Ocean Engineering (2024) Vol. 300, pp. 117392-117392
Closed Access | Times Cited: 12
A novel unsupervised directed hierarchical graph network with clustering representation for intelligent fault diagnosis of machines
Bo Zhao, Xianmin Zhang, Qiqiang Wu, et al.
Mechanical Systems and Signal Processing (2022) Vol. 183, pp. 109615-109615
Closed Access | Times Cited: 32
Data‐driven fault diagnosis approaches for industrial equipment: A review
Atma Sahu, Sanjay Kumar Palei, Aishwarya Mishra
Expert Systems (2023) Vol. 41, Iss. 2
Closed Access | Times Cited: 19
Semi-supervised prototype network based on compact-uniform-sparse representation for rotating machinery few-shot class incremental fault diagnosis
Yu Zhang, Dongying Han, Peiming Shi
Expert Systems with Applications (2024) Vol. 255, pp. 124660-124660
Closed Access | Times Cited: 7
A Mixed Samples-Driven Methodology Based on Denoising Diffusion Probabilistic Model for Identifying Damage in Carbon Fiber Composite Structures
Peng Chen, Chaojun Xu, Zhigang Ma, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 13
Interpretable operational condition attention-informed domain adaptation network for remaining useful life prediction under variable operational conditions
Zihao Lei, Yu Su, Ke Feng, et al.
Control Engineering Practice (2024) Vol. 153, pp. 106080-106080
Closed Access | Times Cited: 5
Self-Supervised Transfer Learning for Remote Wear Evaluation in Machine Tool Elements With Imaging Transmission Attenuation
Peng Chen, Zhigang Ma, Chaojun Xu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23045-23054
Closed Access | Times Cited: 4
Ten industrial software towards smart manufacturing
Tianyi Gao, Lei Wang, Wenyan Song, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 255-285
Closed Access
Improved deep transfer learning and transmission error based method for gearbox fault diagnosis with limited test samples
Hongbo Yang, Zeyu Wang, Miao Xu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112593-112593
Closed Access
Multiscale Graph-Guided Convolutional Network With Node Attention for Intelligent Health State Diagnosis of a 3-PRR Planar Parallel Manipulator
Bo Zhao, Xianmin Zhang, Zhenhui Zhan, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 11, pp. 11733-11743
Closed Access | Times Cited: 29
Novel recursive inclusion-exclusion technology based on BAT and MPs for heterogeneous-arc binary-state network reliability problems
Wei‐Chang Yeh
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108994-108994
Open Access | Times Cited: 12
Speed adaptive gate: A novel auxiliary branch for enhancing deep learning-based rotating machinery fault classification under varying speed conditions
Meng Rao, Ming J. Zuo, Zhigang Tian
Measurement (2023) Vol. 217, pp. 113016-113016
Closed Access | Times Cited: 7
Intelligent Fault Diagnosis of Variable-Condition Motors Using a Dual-Mode Fusion Attention Residual
Fengyun Xie, Gang Li, Wang Hu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 7, pp. 1385-1385
Open Access | Times Cited: 7
Fault Diagnosis of Variable Speed Bearing Based on EMDOS-DCCNN Model
Xiaohu Zheng, Xi Liu, Chuangchuang Zhu, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 5, pp. 7193-7207
Closed Access | Times Cited: 7
Markov Modeling of Signal Condition Transitions for Bearing Diagnostics under External Interference Conditions
Peng Chen, Y. Wu, Chaojun Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-8
Closed Access | Times Cited: 2
Application of wavelet dynamic joint adaptive network guided by pseudo-label alignment mechanism in gearbox fault diagnosis
Zhenfa 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 Diagnosis of Planetary Gear Train Crack Based on DC-DRSN
Le Luo, Yu Liu
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 6873-6873
Open Access | Times Cited: 2
Recent deep learning models for diagnosis and health monitoring: A review of research works and future challenges
Chuyue Lou, Mohamed Amine Atoui, Xiangshun Li
Transactions of the Institute of Measurement and Control (2023) Vol. 46, Iss. 14, pp. 2833-2870
Open Access | Times Cited: 6
A novel deep neural network based on an unsupervised feature learning method for rotating machinery fault diagnosis
Chun Cheng, Wenyi Liu, Weiping Wang, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 9, pp. 095013-095013
Closed Access | Times Cited: 14
Signal Identification of Gear Vibration in Engine-Gearbox Systems Based on Auto-Regression and Optimized Resonance-Based Signal Sparse Decomposition
Yuanyuan Huang, Shuiguang Tong, Zheming Tong, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1868-1868
Open Access | Times Cited: 9
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