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 fault diagnosis approach of rolling bearing using intrinsic feature extraction and CBAM-enhanced InceptionNet
Shijie Xu, Rui Yuan, Yong Lv, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105111-105111
Closed Access | Times Cited: 13
Shijie Xu, Rui Yuan, Yong Lv, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 10, pp. 105111-105111
Closed Access | Times Cited: 13
Showing 13 citing articles:
Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 9
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 9
Transfer learning rolling bearing fault diagnosis model based on deep feature decomposition and class-level alignment
Jingchuan Dong, Hongyu Jiang, Depeng Su, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046006-046006
Closed Access | Times Cited: 8
Jingchuan Dong, Hongyu Jiang, Depeng Su, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046006-046006
Closed Access | Times Cited: 8
Research on bearing fault diagnosis based on novel MRSVD-CWT and improved CNN-LSTM
Yuan Guo, Jun Zhou, Zhenbiao Dong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095003-095003
Closed Access | Times Cited: 7
Yuan Guo, Jun Zhou, Zhenbiao Dong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095003-095003
Closed Access | Times Cited: 7
Novel practical predictive maintenance measurement solutions for industrial systems
Ke Feng, Ting-Yang Yu, Qing Ni, et al.
Measurement Science and Technology (2025) Vol. 36, Iss. 2, pp. 020203-020203
Closed Access
Ke Feng, Ting-Yang Yu, Qing Ni, et al.
Measurement Science and Technology (2025) Vol. 36, Iss. 2, pp. 020203-020203
Closed Access
Rolling bearing fault diagnosis method based on MTF-MMCNN
Ruicheng Feng, Qiyue Zhang, Lu Wang, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-21
Closed Access
Ruicheng Feng, Qiyue Zhang, Lu Wang, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-21
Closed Access
Intelligent Diagnosis of Dual-Channel Parallel Rolling Bearings Based on Feature Fusion
Haike Guo, Xiaoqiang Zhao
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10640-10655
Closed Access | Times Cited: 3
Haike Guo, Xiaoqiang Zhao
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10640-10655
Closed Access | Times Cited: 3
A hybrid deep learning model for fault diagnosis of rolling bearings using raw vibration signals
Liang Jiang, Jiahui Tang, Sun Ning, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096201-096201
Open Access | Times Cited: 2
Liang Jiang, Jiahui Tang, Sun Ning, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096201-096201
Open Access | Times Cited: 2
Attention Mechanism Based on Deep Learning for Defect Detection of Wind Turbine Blade Via Multi-scale Features
Yu Zhang, Yu Fang, Weiwei Gao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 105408-105408
Closed Access | Times Cited: 2
Yu Zhang, Yu Fang, Weiwei Gao, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 105408-105408
Closed Access | Times Cited: 2
A hierarchical transformer-based adaptive metric and joint-learning network for few-shot rolling bearing fault diagnosis
Zong Meng, Zhaohui Zhang, Yang Guan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035114-035114
Closed Access | Times Cited: 5
Zong Meng, Zhaohui Zhang, Yang Guan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035114-035114
Closed Access | Times Cited: 5
Automated classification of ulcerative lesions in small intestine using densenet with channel attention and residual dilated blocks
Xudong Guo, Lei Xu, Zhang Liu, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 5, pp. 055017-055017
Closed Access | Times Cited: 1
Xudong Guo, Lei Xu, Zhang Liu, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 5, pp. 055017-055017
Closed Access | Times Cited: 1
An adaptive fully convolutional network for bearing fault diagnosis under noisy environments
Xinliang Zhang, Guanlin Liu, Yitian Zhou, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 4
Closed Access | Times Cited: 1
Xinliang Zhang, Guanlin Liu, Yitian Zhou, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 4
Closed Access | Times Cited: 1
Attention features selection oversampling technique (AFS-O) for rolling bearing fault diagnosis with class imbalance
Zhongze Han, Haoran Wang, Chen Shen, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035002-035002
Closed Access | Times Cited: 2
Zhongze Han, Haoran Wang, Chen Shen, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035002-035002
Closed Access | Times Cited: 2
Iterative feature mode decomposition: A novel adaptive denoising method for mechanical fault diagnosis
Xiaolong Ruan, Rui Yuan, Zhang Dang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096101-096101
Closed Access
Xiaolong Ruan, Rui Yuan, Zhang Dang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096101-096101
Closed Access
