OpenAlex Citation Counts

OpenAlex Citations Logo

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:

One Dimensional Convolutional Neural Networks Using Sparse Wavelet Decomposition for Bearing Fault Diagnosis
Xiaofan Liu, Jason Centeno, Juan Carlos Alvarado, et al.
IEEE Access (2022) Vol. 10, pp. 86998-87007
Open Access | Times Cited: 16

Showing 16 citing articles:

Multi-scale residual neural network with enhanced gated recurrent unit for fault diagnosis of rolling bearing
Weiqing Liao, Wenlong Fu, Ke Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056114-056114
Closed Access | Times Cited: 11

A novel stochastic resonance based deep residual network for fault diagnosis of rolling bearing system
Xuqun Zhang, Yumei Ma, Zhenkuan Pan, et al.
ISA Transactions (2024) Vol. 148, pp. 279-284
Closed Access | Times Cited: 8

References

Digital signal processing (2025), pp. 999-1001
Closed Access

Bearing Fault Diagnosis Based on Image Information Fusion and Vision Transformer Transfer Learning Model
Zichen Zhang, Jing Li, Chaozhi Cai, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2706-2706
Open Access | Times Cited: 4

VKCNN: An interpretable variational kernel convolutional neural network for rolling bearing fault diagnosis
Guangyi Chen, Guping Tang, Z. K. Zhu
Advanced Engineering Informatics (2024) Vol. 62, pp. 102705-102705
Closed Access | Times Cited: 4

Identifying Bearing Faults Using Multiscale Residual Attention and Multichannel Neural Network
Chun‐Yao Lee, Guang‐Lin Zhuo
IEEE Access (2023) Vol. 11, pp. 26953-26963
Open Access | Times Cited: 11

Bearing Fault Diagnosis Based on Sparse Wavelet Decomposition and Sparse Graph Connection Using GraphSAGE
Guanhua Zhu, Xiaofan Liu, Lizhe Tan
(2023), pp. 1-6
Closed Access | Times Cited: 2

Multi-granularity short circuit fault diagnosis for tokamak power converters under small sample conditions and noise interference
Heng Zhang, Lingpeng Zhong, Hua Li, et al.
Fusion Engineering and Design (2024) Vol. 203, pp. 114475-114475
Closed Access

Gearbox fault diagnosis based on RGT-MFFIN and multi-sensor fusion image generation
G.X. Xie, Hongfei Zhan, Junhe Yu, et al.
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035577-035577
Closed Access

Fault diagnosis of ship power grid based on attentional feature fusion and multi-scale 1D convolution
Yabo Cui, Rongjie Wang, Jianfeng Wang, et al.
Electric Power Systems Research (2024) Vol. 239, pp. 111232-111232
Closed Access

Intelligent fault diagnosis for high-speed bearing towards unbalanced samples via convolutional weight adaptive network
Gaige Chen, Ye Li, Song-Yu Han, et al.
Journal of Engineering Design (2023), pp. 1-24
Closed Access | Times Cited: 1

Research on a novel fault diagnosis method for gearbox based on matrix distance feature
Jiang-Cheng Li, Limin Dong, Xiaotao Zhang, et al.
Measurement and Control (2023) Vol. 57, Iss. 4, pp. 454-468
Open Access | Times Cited: 1

Facial Expression in Tourism Destinations Using A Deep Learning Approach
Budi Dwi Satoto, Achmad Yasid, Budi Irmawati, et al.
2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) (2022), pp. 254-259
Closed Access | Times Cited: 1

Page 1

Scroll to top