
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 Rotating Machinery Fault Diagnosis Method Based on Multi-Sensor Fusion and ECA-CNN
Hongxing Wang, Hua Zhu, Huafeng Li
IEEE Access (2023) Vol. 11, pp. 106443-106455
Open Access | Times Cited: 8
Hongxing Wang, Hua Zhu, Huafeng Li
IEEE Access (2023) Vol. 11, pp. 106443-106455
Open Access | Times Cited: 8
Showing 8 citing articles:
Multi-scale fusion and efficient feature extraction for enhanced sonar image object detection
Pengfei Shi, Qi He, S. H. Zhu, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124958-124958
Closed Access | Times Cited: 6
Pengfei Shi, Qi He, S. H. Zhu, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124958-124958
Closed Access | Times Cited: 6
Multi-source data recognition and fusion algorithm based on a two-layer genetic algorithm–back propagation model
Zhuang Xiong, Jun Ma, Bohang Chen, et al.
Frontiers in Big Data (2025) Vol. 7
Open Access
Zhuang Xiong, Jun Ma, Bohang Chen, et al.
Frontiers in Big Data (2025) Vol. 7
Open Access
Feature data set creation method for loose particle localization based on multi-channel characteristic encoding
Zhigang Sun, Guofu Zhai, Guotao Wang, et al.
Expert Systems with Applications (2025), pp. 127204-127204
Closed Access
Zhigang Sun, Guofu Zhai, Guotao Wang, et al.
Expert Systems with Applications (2025), pp. 127204-127204
Closed Access
A novel multi-scale convolutional neural network incorporating multiple attention mechanisms for bearing fault diagnosis
Baoquan Hu, Jun Liu, Yue Xu
Measurement (2024) Vol. 242, pp. 115927-115927
Closed Access | Times Cited: 3
Baoquan Hu, Jun Liu, Yue Xu
Measurement (2024) Vol. 242, pp. 115927-115927
Closed Access | Times Cited: 3
A deep learning approach for health monitoring in rotating machineries using vibrations and thermal features
Pauline Ong, Anelka John Koshy, Kee Huong Lai, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100399-100399
Open Access | Times Cited: 1
Pauline Ong, Anelka John Koshy, Kee Huong Lai, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100399-100399
Open Access | Times Cited: 1
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
G.X. Xie, Hongfei Zhan, Junhe Yu, et al.
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035577-035577
Closed Access
An approach for adaptive filtering with reinforcement learning for multi-sensor fusion in condition monitoring of gearboxes
Shahis Hashim, Sitesh Kumar Mishra, Piyush Shakya
Computers in Industry (2024) Vol. 164, pp. 104214-104214
Closed Access
Shahis Hashim, Sitesh Kumar Mishra, Piyush Shakya
Computers in Industry (2024) Vol. 164, pp. 104214-104214
Closed Access
Aeroengine Gas Path Fault Diagnosis Based on Attention Mechanism-optimized 1DCNN
Wenya Li, Ying Zhao, Xi‐Ming Sun, et al.
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) (2024), pp. 145-149
Closed Access
Wenya Li, Ying Zhao, Xi‐Ming Sun, et al.
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) (2024), pp. 145-149
Closed Access
Rolling bearing fault diagnosis based on channel attention multi-scale convolution-BiLSTM network
Yuqing Li, Jie Ma
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 61-66
Closed Access
Yuqing Li, Jie Ma
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 61-66
Closed Access