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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 planetary gearbox fault diagnosis method based on time-series imaging feature fusion and a transformer model
Rui Wu, Chao Liu, Te Han, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 2, pp. 024006-024006
Closed Access | Times Cited: 18

Showing 18 citing articles:

A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication
Dongdong Liu, Lingli Cui, Weidong Cheng
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 012002-012002
Closed Access | Times Cited: 81
Neural-transformer: A brain-inspired lightweight mechanical fault diagnosis method under noise
Changdong Wang, Bowen Tian, Jingli Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110409-110409
Closed Access | Times Cited: 38
Research progress on oil-immersed transformer mechanical condition identification based on vibration signals
Yongteng Sun, Hongzhong Ma
Renewable and Sustainable Energy Reviews (2024) Vol. 196, pp. 114327-114327
Closed Access | Times Cited: 8
A new meta-transfer learning method with freezing operation for few-shot bearing fault diagnosis
Peiqi Wang, Jingde Li, Shubei Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 7, pp. 074005-074005
Closed Access | Times Cited: 21
Fault diagnosis of planetary gearbox with multi-channels vibration data based on a novel feature extraction method and LSSVM
Xin Xia, Xiaolu Wang
Journal of Measurements in Engineering (2025)
Open Access
Table Tennis Track Detection Based on Temporal Feature Multiplexing Network
Wenjie Li, Xiangpeng Liu, Kang An, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1726-1726
Open Access | Times Cited: 11
AI-Enabled Industrial Equipment Monitoring, Diagnosis and Health Management
Zhuyun Chen, Haidong Shao, Te Han, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 050102-050102
Closed Access | Times Cited: 2
A novel vision transformer network for rolling bearing remaining useful life prediction
Aijun Hu, Yancheng Zhu, Suixian Liu, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025106-025106
Closed Access | Times Cited: 5
Integrating self-attention mechanisms in deep learning: A novel dual-head ensemble transformer with its application to bearing fault diagnosis
Qing Snyder, Qingtang Jiang, Erin E. Tripp
Signal Processing (2024) Vol. 227, pp. 109683-109683
Closed Access | Times Cited: 1
A novel vibro-acoustic fault diagnosis approach of planetary gearbox using intrinsic wavelet integrated GE-EfficientNet
Huangxing Hu, Yong Lv, Rui Yuan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 025131-025131
Closed Access | Times Cited: 3
Fault feature detection of planet gear in multi-stage planetary gearbox based on angle compensation synchronous averaging
Y. Yan, Yu Guo, Xiaoqin Liu, et al.
Journal of Vibration and Control (2023) Vol. 30, Iss. 19-20, pp. 4272-4285
Open Access | Times Cited: 2
Research on fault diagnosis method based on the Markov transition field with enhanced properties and AM-MSCNN under different external environmental interference
Xihui Chen, Jiapeng Fan, Hongkun Yu, et al.
Structural Health Monitoring (2024)
Closed Access
Multiscale-attention masked autoencoder for missing data imputation of wind turbines
Yuwei Fan, Chenlong Feng, Rui Wu, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112114-112114
Closed Access
Condition monitoring based on corrupted multiple time series with common trends
Yujie Wei, Ershun Pan, Zhi‐Sheng Ye
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110324-110324
Closed Access
A Fault Diagnosis Method for Planetary Gearboxes Based on IFMD
Fengfeng Bie, Xueping Ding, Qianqian Li, et al.
Shock and Vibration (2024) Vol. 2024, Iss. 1
Open Access
Deep learning-based fault diagnosis of planetary gearbox: A systematic review
Hassaan Ahmad, Wei Cheng, Ji Xing, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 730-745
Closed Access
Lightweight fault diagnosis method in embedded system based on knowledge distillation
Ran Gong, Chenlin Wang, Jinxiao Li, et al.
Journal of Mechanical Science and Technology (2023) Vol. 37, Iss. 11, pp. 5649-5660
Closed Access | Times Cited: 1
Fault Diagnosis of Multistage Gearbox Based on Adaboost Ensemble Learning
Xiaojian Ding, Ji Wang, Jing Wang, et al.
(2023), pp. 1-5
Closed Access
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