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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 Novel Deeper One-Dimensional CNN With Residual Learning for Fault Diagnosis of Wheelset Bearings in High-Speed Trains
Dandan Peng, Zhiliang Liu, Huan Wang, et al.
IEEE Access (2018) Vol. 7, pp. 10278-10293
Open Access | Times Cited: 224

Showing 101-125 of 224 citing articles:

Vehicle identification using deep learning for expressway monitoring based on ultra-weak FBG arrays
Fang Liu, Lei Yu, Yu Xie, et al.
Optics Express (2023) Vol. 31, Iss. 10, pp. 16754-16754
Open Access | Times Cited: 7
EEG signal-based classification of mental tasks using a one-dimensional ConvResT model
Gunda Manasa, Krashana D. Nirde, Suhas Gajre, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9053-9072
Closed Access | Times Cited: 2
A novel intelligent fault diagnosis method of rolling bearings based on capsule network with Fast Routing algorithm
Guang‐Jun Jiang, Dezhi Li, Qi Li, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2235-2255
Closed Access | Times Cited: 2
Trackside Acoustic Fault Diagnosis of Bearing Based on Doppler Knowledge Embedded in Domain Adaptation Network
Yupeng Zhang, Juntao Hua, Xia Fang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 2
Fault diagnosis of axial piston pump based on multi-source subdomain adaptation and sensor data fusion
Hongbin Tang, Yangchun Gong, Jingnan Zhou
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086209-086209
Closed Access | Times Cited: 2
MSTAN: Multi-scale spatiotemporal attention network with adaptive relationship mining for remaining useful life prediction in complex systems
Kai Huang, Guozhu Jia, Zeyu Jiao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 125019-125019
Closed Access | Times Cited: 2
1DCNN Fault Diagnosis Based on Cubic Spline Interpolation Pooling
Shuzhan Huang, Jian Tang, Juying Dai, et al.
Shock and Vibration (2020) Vol. 2020, pp. 1-13
Open Access | Times Cited: 20
Real-Time Hierarchical Neural Network Based Fault Detection and Isolation for High-Speed Railway System Under Hybrid AC/DC Grid
Qin Liu, Tian Liang, Venkata Dinavahi
IEEE Transactions on Power Delivery (2020), pp. 1-1
Open Access | Times Cited: 19
Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder
Hongmei Shi, Jingcheng Chen, Jin Si, et al.
Sensors (2020) Vol. 20, Iss. 20, pp. 5734-5734
Open Access | Times Cited: 19
Bearing Fault Diagnosis Based on Multilayer Domain Adaptation
Bingru Yang, Qi Li, Liang Chen, et al.
Shock and Vibration (2020) Vol. 2020, pp. 1-11
Open Access | Times Cited: 18
A multi-branch convolutional transfer learning diagnostic method for bearings under diverse working conditions and devices
Gongxian Wang, Miao Zhang, Lei Xiang, et al.
Measurement (2021) Vol. 182, pp. 109627-109627
Closed Access | Times Cited: 16
SA1D-CNN: A Separable and Attention Based Lightweight Sensor Fault Diagnosis Method for Solar Insecticidal Lamp Internet of Things
Xing Yang, Lei Shu, Kailiang Li, et al.
IEEE Open Journal of the Industrial Electronics Society (2022) Vol. 3, pp. 291-303
Open Access | Times Cited: 12
Bolt-Loosening Detection Using 1D and 2D Input Data Based on Two-Stream Convolutional Neural Networks
Xiaoli Hou, Weichao Guo, Shengjie Ren, et al.
Materials (2022) Vol. 15, Iss. 19, pp. 6757-6757
Open Access | Times Cited: 11
Rolling bearing fault diagnosis model based on DSCB-NFAM
Xiaoqiang Zhao, Haike Guo
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015029-015029
Closed Access | Times Cited: 6
Decoupling Predictive Control of Strip Flatness and Thickness of Tandem Cold Rolling Mills Based on Convolutional Neural Network
Xiaogang Li, Yiming Fang, Le Liu
IEEE Access (2019) Vol. 8, pp. 3656-3667
Open Access | Times Cited: 19
Multi-Scale CNN based on Attention Mechanism for Rolling Bearing Fault Diagnosis
Yijia Hao, Huan Wang, Zhiliang Liu, et al.
2020 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM) (2020), pp. 1-5
Closed Access | Times Cited: 17
A Method of Rolling Bearing Fault Diagnose Based on Double Sparse Dictionary and Deep Belief Network
Junfeng Guo, Pengfei Zheng
IEEE Access (2020) Vol. 8, pp. 116239-116253
Open Access | Times Cited: 16
Rolling Bearing Fault Diagnosis Using Improved Deep Residual Shrinkage Networks
Zhijin Zhang, He Li, Lei Chen, et al.
Shock and Vibration (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 15
One-Dimensional Convolutional Neural Network for Drill Bit Failure Detection in Rotary Percussion Drilling
Lesego Senjoba, Jo Sasaki, Yoshino Kosugi, et al.
Mining (2021) Vol. 1, Iss. 3, pp. 297-314
Open Access | Times Cited: 15
DeepTouch: Enabling Touch Interaction in Underwater Environments by Learning Touch-Induced Inertial Motions
Kang-Won Lee, Seung-Chan Kim, Soo‐Chul Lim
IEEE Sensors Journal (2022) Vol. 22, Iss. 9, pp. 8924-8932
Closed Access | Times Cited: 10
A lightweight model for train bearing fault diagnosis based on multiscale attentional feature fusion
Changfu He, Deqiang He, Zhenpeng Lao, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 2, pp. 025113-025113
Closed Access | Times Cited: 10
Improved Variational Mode Decomposition and One-Dimensional CNN Network with Parametric Rectified Linear Unit (PReLU) Approach for Rolling Bearing Fault Diagnosis
Xiaofeng Wang, Xiuyan Liu, Jinlong Wang, et al.
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9324-9324
Open Access | Times Cited: 9
EEG temporal information-based 1-D convolutional neural network for motor imagery classification
Chaoqin Chu, Qinkun Xiao, Leran Chang, et al.
Multimedia Tools and Applications (2023) Vol. 82, Iss. 29, pp. 45747-45767
Closed Access | Times Cited: 5
Hydraulic-Pump Fault-Diagnosis Method Based on Mean Spectrogram Bar Graph of Voiceprint and ResNet-50 Model Transfer
Peiyao Zhang, Wanlu Jiang, Yunfei Zheng, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 9, pp. 1678-1678
Open Access | Times Cited: 5
Fault diagnosis of rotating machinery under time-varying speed based on order tracking and deep learning
Wang Tai-yong, Lan Zhang, Huihui Qiao, et al.
Journal of Vibroengineering (2020) Vol. 22, Iss. 2, pp. 366-382
Open Access | Times Cited: 14

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