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 universal multi-source domain adaptation method with unsupervised clustering for mechanical fault diagnosis under incomplete data
Jinghui Tian, Dongying Han, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 173, pp. 106167-106167
Closed Access | Times Cited: 7
Jinghui Tian, Dongying Han, Hamid Reza Karimi, et al.
Neural Networks (2024) Vol. 173, pp. 106167-106167
Closed Access | Times Cited: 7
Showing 7 citing articles:
A novel swarm budorcas taxicolor optimization-based multi-support vector method for transformer fault diagnosis
Yong Ding, Weijian Mai, Zhijun Zhang
Neural Networks (2025) Vol. 184, pp. 107120-107120
Closed Access
Yong Ding, Weijian Mai, Zhijun Zhang
Neural Networks (2025) Vol. 184, pp. 107120-107120
Closed Access
Structure information preserving domain adaptation network for fault diagnosis of Sucker Rod Pumping systems
Xiaohua Gu, Fei Lu, Liping Yang, et al.
Neural Networks (2025), pp. 107392-107392
Closed Access
Xiaohua Gu, Fei Lu, Liping Yang, et al.
Neural Networks (2025), pp. 107392-107392
Closed Access
A Novel Adaptive Wavelet Feature Fusion Networks for Anti-Noise Rotating Machinery Fault Diagnosis
Daoguang Yang, Hongzhi Tan, Zhe Li
Lecture notes in electrical engineering (2025), pp. 295-302
Closed Access
Daoguang Yang, Hongzhi Tan, Zhe Li
Lecture notes in electrical engineering (2025), pp. 295-302
Closed Access
Innovative integration of multi-scale residual networks and MK-MMD for enhanced feature representation in fault diagnosis
Xueyi Li, Peng Yuan, Kaiyu Su, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086108-086108
Closed Access | Times Cited: 3
Xueyi Li, Peng Yuan, Kaiyu Su, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086108-086108
Closed Access | Times Cited: 3
A review on adversarial–based deep transfer learning mechanical fault diagnosis
Yu Guo, Ziyi Cheng, Jundong Zhang, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Yu Guo, Ziyi Cheng, Jundong Zhang, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
A Multi-source Sensors Framework for Mechanical Fault Diagnosis Under Strong Noise
Yue Yu, Hamid Reza Karimi, Youqian He
Mechanisms and machine science (2024), pp. 225-232
Closed Access
Yue Yu, Hamid Reza Karimi, Youqian He
Mechanisms and machine science (2024), pp. 225-232
Closed Access
Unified representation aggregated from graph and global features for multi-source data clustering
Jiashou Wang, Guiyan Zhao, Zhong-tai LI, et al.
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access
Jiashou Wang, Guiyan Zhao, Zhong-tai LI, et al.
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access
An open domain fault diagnosis method for rotating machinery based on dynamic convolutional graph network and bi-classifier adversarial learning
Guang Yang, Juan Su, Songhuai Du, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 2, pp. 026107-026107
Closed Access
Guang Yang, Juan Su, Songhuai Du, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 2, pp. 026107-026107
Closed Access
