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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:

Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network
Xiaoan Yan, Wang‐Ji Yan, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110664-110664
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
Maoyou Ye, Xiaoan Yan, Xing Hua, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125214-125214
Closed Access | Times Cited: 11
Spatial correlation learning based on graph neural network for medium-term wind power forecasting
Beizhen Zhao, Xin He, Shaolin Ran, et al.
Energy (2024) Vol. 296, pp. 131164-131164
Closed Access | Times Cited: 9
Performance degradation assessment of rolling bearing cage failure based on enhanced CycleGAN
Caizi Fan, Pengfei Wang, Hui Ma, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124697-124697
Closed Access | Times Cited: 8
Time Series Prediction in Industry 4.0: A Comprehensive Review and Prospects for Future Advancements
Nataliia Kashpruk, C. Piskor-Ignatowicz, Jerzy Baranowski
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12374-12374
Open Access | Times Cited: 17
Bearing fault diagnosis based on POA-VMD with GADF-Swin Transformer transfer learning network
Xin Dai, Yi Kang, Fuling Wang, et al.
Measurement (2024) Vol. 238, pp. 115328-115328
Closed Access | Times Cited: 5
Multi-sensor bearing fault diagnosis based on evidential neural network with sensor weights and reliability
Peng Han, Zhiqiu Huang, Weiwei Li, et al.
Expert Systems with Applications (2025), pp. 126533-126533
Closed Access
Fault Diagnosis of Rolling Bearings Based on Acoustic Signals in Strong Noise Environments
Hengdi Wang, Jingwei Xie
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1389-1389
Open Access
Physics-based deep learning framework for Terahertz thickness measurement of thermal barrier coatings with variable refractive index
Fengshan Sun, Binghua Cao, Mengbao Fan, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112430-112430
Closed Access
Intelligent Recognition for Operation States of Hydroelectric Generating Units Based on Data Fusion and Visualization Analysis
Yongfei Wang, Yu Liu, Xiaofei Li, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
Cross-sensor contrastive learning-based pre-training for machinery fault diagnosis under sample-limited conditions
Hao Hu, Yue Ma, Ruoxue Li, et al.
Knowledge-Based Systems (2025), pp. 113075-113075
Closed Access
Towards high-speed elevator fault diagnosis: A ParallelGraphNet driven multi-sensor optimization selection method
Zili Wang, Huang Zhang, Lemiao Qiu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 228, pp. 112450-112450
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
Multi-scale quadratic convolutional neural network for bearing fault diagnosis based on multi-sensor data fusion
Yingying Ji, Jun Gao, Xing Shao, et al.
Nonlinear Dynamics (2025)
Closed Access
Application of a multi-dimensional synchronous feature mode decomposition for machinery fault diagnosis
Huifang Shi, Yonghao Miao, Xun Wang, et al.
ISA Transactions (2025)
Closed Access
Intelligent real-time status identification for anti-roll tank via solid-liquid triboelectric nanogenerators
Xingang Xu, Hao Wu, Zhongjie Li, et al.
Ocean Engineering (2025) Vol. 327, pp. 120987-120987
Closed Access
The PSQSgram: A new adaptive multi-channel periodic pulse extraction method for bearing fault diagnosis
Jie Zhou, Kehan Ge, Yiping Shen, et al.
Expert Systems with Applications (2025) Vol. 277, pp. 127162-127162
Closed Access
Dual-stage soft sensor-based fault reconstruction and effluent prediction toward a sustainable wastewater treatment plant using attention fusion deep learning model
Abdulrahman H. Ba-Alawi, Jiyong Kim
Journal of environmental chemical engineering (2025), pp. 116221-116221
Closed Access
A new difference feature extraction method of slewing bearings in wind turbines via optimization bispectrum domain model
Miaorui Yang, Kun Zhang, Yanping Zhu, et al.
Expert Systems with Applications (2025), pp. 127325-127325
Closed Access
Enhanced rolling bearing fault diagnosis using a multi-stage attention fusion network
Mengling Ma, Chenxi Qu, Xüna Zhao, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2025)
Closed Access
Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data
Jichao Zhuang, Jianhai Yan, Cheng‐Geng Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107539-107539
Closed Access | Times Cited: 12
Adaptive Fusion Transfer Learning-based Digital Multitwin-assised Intelligent Fault Diagnosis
Sizhe Liu, Yongsheng Qi, Liqiang Liu, et al.
Knowledge-Based Systems (2024) Vol. 297, pp. 111923-111923
Closed Access | Times Cited: 3
IInception-CBAM-IBiGRU based fault diagnosis method for asynchronous motors
Zhengting Li, Peiliang Wang, Zeyu Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
A deep learning approach for health monitoring in rotating machineries using vibrations and thermal features
Pauline Ong, Anelka John Koshy, Kee Huong Lai, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100399-100399
Open Access | Times Cited: 2
Research on Magnetic Field-Based Damage Detection Technology for Ferromagnetic Microwires
Haifei Wang, Junqing Yin, Xin Cheng, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 878-878
Open Access | Times Cited: 2
Fusion-driven fault diagnosis based on adaptive tuning feature mode decomposition and synergy graph enhanced transformer for bearings under noisy conditions
Lin Zhu, Jin Wang, Min Chen, et al.
Expert Systems with Applications (2024), pp. 125441-125441
Closed Access | Times Cited: 2
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