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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:

A Deep Learning Model for Fault Diagnosis with a Deep Neural Network and Feature Fusion on Multi-Channel Sensory Signals
Qing Ye, Shaohu Liu, Changhua Liu
Sensors (2020) Vol. 20, Iss. 15, pp. 4300-4300
Open Access | Times Cited: 18

Showing 18 citing articles:

Hydraulic directional valve fault diagnosis using a weighted adaptive fusion of multi-dimensional features of a multi-sensor
Jinchuan Shi, Yan Ren, Hesheng Tang, et al.
Journal of Zhejiang University. Science A (2022) Vol. 23, Iss. 4, pp. 257-271
Closed Access | Times Cited: 24
Simulation of digital circuit fault diagnosis and prediction model based on deep learning
Xiaoyu Li
(2025), pp. 207-207
Closed Access
A multi-scale deep feature memory and recovery network for multi-sensor fault diagnosis in the channel missing scenario
Tianao Zhang, Li Jiang, Jie Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110228-110228
Closed Access
Enhancing long-distance speech signals using PDMA speech enhancement system
Tao Zhang, Rongze Xia, Heng Wang, et al.
Applied Acoustics (2025) Vol. 236, pp. 110736-110736
Closed Access
An Integrated Deep Learning Method towards Fault Diagnosis of Hydraulic Axial Piston Pump
Shengnan Tang, Shouqi Yuan, Yong Zhu, et al.
Sensors (2020) Vol. 20, Iss. 22, pp. 6576-6576
Open Access | Times Cited: 29
A global interactive attention-based lightweight denoising network for locating internal defects of CFRP laminates
Bo Yang, Yang Zhang, Shilong Wang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 116, pp. 105436-105436
Closed Access | Times Cited: 14
Blade crack detection based on domain adaptation and autoencoder of multidimensional vibro-acoustic feature fusion
Junxian Shen, Di Song, Tianchi Ma, et al.
Structural Health Monitoring (2023) Vol. 22, Iss. 5, pp. 3498-3513
Closed Access | Times Cited: 8
A review on deep learning based condition monitoring and fault diagnosis of rotating machinery
Purushottam Gangsar, Aditya Raj Bajpei, Rajkumar Porwal
Noise & Vibration Worldwide (2022) Vol. 53, Iss. 11, pp. 550-578
Closed Access | Times Cited: 10
Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism
Di Song, Junxian Shen, Tianchi Ma, et al.
Structural Health Monitoring (2022) Vol. 22, Iss. 3, pp. 1911-1926
Closed Access | Times Cited: 9
MDRL-ETT: A Multiagent Deep Reinforcement Learning-Enhanced Transmission Tomography System to Detect Anomalous Geological Structures
Hongyu Sun, Bo Yuan, Naixue Xiong, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 10, pp. 6205-6217
Closed Access | Times Cited: 1
Fault diagnosis of planetary gear backlash based on motor current and Fisher criterion optimized sparse autoencoder
Ziqin Zhang, Xing Wu, Tao Liu, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022) Vol. 236, Iss. 13, pp. 7529-7545
Closed Access | Times Cited: 6
Simultaneous Fault Diagnosis Based on Hierarchical Multi-Label Classification and Sparse Bayesian Extreme Learning Machine
Qing Ye, Changhua Liu
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2376-2376
Open Access | Times Cited: 3
Fault Detection and Isolation Methods in Subsea Observation Networks
Sa Xiao, Jiajie Yao, Yanhu Chen, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5273-5273
Open Access | Times Cited: 7
An Intelligent Fault Diagnosis Based on Adversarial Generating Module and Semi-supervised Convolutional Neural Network
Qing Ye, Changhua Liu
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 4
A Fault Diagnosis Method for Multi-Way Valve Spool Jamming Based on Wavelet Packet Decomposition and C4.5 Decision Tree
荣忠 黄
Modeling and Simulation (2024) Vol. 13, Iss. 06, pp. 5987-5999
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
Remaining Useful Life Prediction of Main Reducer Based on Parallel Multi-Attention and Contrastive Fusion Multi-Source Domain Adaption Considering Compound-Fault
Qing Ye, Muyu Lin, Hai-Meng Zhou, et al.
(2024)
Closed Access
Intelligent fault diagnosis of automobile main reducer based onstacked convolutional auto-encoder and parallel attention-based convolutional blocks
Qing Ye, Chang‐Hua Liu
Applied Intelligence (2024) Vol. 55, Iss. 1
Closed Access
A Novel Fault Assessment Method Integrating Global and Local Information for Industrial Processes
Yingxin Guo, Xueyi Zhang, Liang Ma, et al.
2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS) (2021), pp. 1-6
Closed Access
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