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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:

Ensemble decision approach with dislocated time–frequency representation and pre-trained CNN for fault diagnosis of railway vehicle gearboxes under variable conditions
Jinhai Wang, Jianwei Yang, Yuzhu Wang, et al.
International Journal of Rail Transportation (2021) Vol. 10, Iss. 5, pp. 655-673
Closed Access | Times Cited: 20

Showing 20 citing articles:

CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery
Yadong Xu, Ke Feng, Xiaoan Yan, et al.
Information Fusion (2023) Vol. 95, pp. 1-16
Closed Access | Times Cited: 102
Preventive maintenance optimization for key components of subway train bogie with consideration of failure risk
Haimeng Sun, Deqiang He, Jiecheng Zhong, et al.
Engineering Failure Analysis (2023) Vol. 154, pp. 107634-107634
Closed Access | Times Cited: 44
Evolvable graph neural network for system-level incremental fault diagnosis of train transmission systems
Ao Ding, Yong Qin, Biao Wang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111175-111175
Closed Access | Times Cited: 23
IDSN: A one-stage interpretable and differentiable STFT domain adaptation network for traction motor of high-speed trains cross-machine diagnosis
Chao He, Hongmei Shi, Jianbo Li
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110846-110846
Closed Access | Times Cited: 27
Shock detection of rotating machinery based on activated time-domain images and deep learning: An application to railway wheel flat detection
Yunguang Ye, Caihong Huang, Jing Zeng, et al.
Mechanical Systems and Signal Processing (2022) Vol. 186, pp. 109856-109856
Closed Access | Times Cited: 32
Machine Learning in Urban Rail Transit Systems: A Survey
Li Zhu, Cheng Chen, Hongwei Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 3, pp. 2182-2207
Closed Access | Times Cited: 14
Dynamics and Fault Diagnosis of Railway Vehicle Gearboxes: A Review
Liang Zhao, Yuejian Chen
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 5
Intelligent Fault Diagnosis Method of Train Axle Box Bearing Based on Improved Deep Reinforcement Learning
Z. X. Meng, Zihao Lei, Shuaiqing Deng, et al.
Lecture notes in electrical engineering (2025), pp. 430-440
Closed Access
Influence of wheel flat on railway vehicle helical gear system under Traction/Braking conditions
Jianwei Yang, Yue Zhao, Jinhai Wang, et al.
Engineering Failure Analysis (2022) Vol. 134, pp. 106022-106022
Closed Access | Times Cited: 20
Fault diagnosis of bearings in multiple working conditions based on adaptive time-varying parameters short-time Fourier synchronous squeeze transform
minghui wei, Jianwei Yang, Dechen Yao, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 12, pp. 124002-124002
Open Access | Times Cited: 13
Gear Fault Diagnosis Method Based on Multi-Sensor Information Fusion and VGG
Dongyue Huo, Yuyun Kang, Baiyang Wang, et al.
Entropy (2022) Vol. 24, Iss. 11, pp. 1618-1618
Open Access | Times Cited: 10
Intelligent construction for the transportation infrastructure: a review
Qing He, Faeze Ghofrani, Tianci Gao, et al.
Intelligent Transportation Infrastructure (2022) Vol. 1
Open Access | Times Cited: 9
Multilevel Residual Prophet Network Time Series Model for Prediction of Irregularities on High-Speed Railway Track
Xiaohui Wang, Jianwei Yang, Fei Yang, et al.
Journal of Transportation Engineering Part A Systems (2023) Vol. 149, Iss. 4
Closed Access | Times Cited: 5
Gearbox Fault Diagnosis Method Based on Multidomain Information Fusion
Fengyun Xie, Wang Gan, Jiandong Shang, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4921-4921
Open Access | Times Cited: 5
Gearbox Fault Diagnosis Based on Multi-Sensor Deep Spatiotemporal Feature Representation
Fengyun Xie, Wang Gan, Jiandong Shang, et al.
Mathematics (2023) Vol. 11, Iss. 12, pp. 2679-2679
Open Access | Times Cited: 4
A TLOT train gearbox fault diagnosis method based on ridge extraction under variable speed conditions
zhongshuo hu, Qiang Li, Jianwei Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066117-066117
Closed Access | Times Cited: 1
Fault Diagnosis of Oil-Immersed Transformers Based on the Improved Neighborhood Rough Set and Deep Belief Network
Xiaoyang Miao, Hongda Quan, Xiawei Cheng, et al.
Electronics (2023) Vol. 13, Iss. 1, pp. 5-5
Open Access | Times Cited: 3
Dynamic Characteristics and Fault Mechanism of the Gear Tooth Spalling in Railway Vehicles under Traction Conditions
Yunlei Lin, Junbo Li, Peixuan Chen, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4656-4656
Open Access | Times Cited: 2
An Adaptive Fourier Decomposition Method for Gear Fault Diagnosis of Railway Vehicle in the Non-stationary Process
Zhongshuo Hu, Qiang Li, Jinhai Wang, et al.
Lecture notes in electrical engineering (2024), pp. 600-618
Closed Access
An Adaptive Parameterized Domain Mapping Method and Its Application in Wheel–Rail Coupled Fault Diagnosis for Rail Vehicles
Zihang Xu, Jianwei Yang, Dechen Yao, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5486-5486
Open Access
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