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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 deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis
Lanjun Wan, Yuanyuan Li, Keyu Chen, et al.
Measurement (2022) Vol. 191, pp. 110752-110752
Closed Access | Times Cited: 140

Showing 51-75 of 140 citing articles:

An improved multi-channel and multi-scale domain adversarial neural network for fault diagnosis of the rolling bearing
Yongze Jin, Xinhui Song, Yanxi Yang, et al.
Control Engineering Practice (2024) Vol. 154, pp. 106120-106120
Closed Access | Times Cited: 3
An Intelligent Fault Detection Framework for FW-UAV Based on Hybrid Deep Domain Adaptation Networks and the Hampel Filter
Yizong Zhang, Shaobo Li, Qiuchen He, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 10
Unsupervised rolling bearing fault diagnosis method across working conditions based on multiscale convolutional neural network
H.C. Fu, Di Yu, Changshu Zhan, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 035018-035018
Closed Access | Times Cited: 10
Adversarial Deep Transfer Learning in Fault Diagnosis: Progress, Challenges, and Future Prospects
Yu Guo, Jundong Zhang, Bin Sun, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7263-7263
Open Access | Times Cited: 9
Integrating adaptive input length selection strategy and unsupervised transfer learning for bearing fault diagnosis under noisy conditions
Guiting Tang, Cai Yi, Lei Liu, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110870-110870
Closed Access | Times Cited: 9
Novel imbalanced subdomain adaption multiscale convolutional network for cross-domain unsupervised fault diagnosis of rolling bearings
Tianlong Huo, Linfeng Deng, Bo Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 1, pp. 015905-015905
Closed Access | Times Cited: 9
An Adversarial Single-Domain Generalization Network for Fault Diagnosis of Wind Turbine Gearboxes
Xinran Wang, Chenyong Wang, Hanlin Liu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 12, pp. 2384-2384
Open Access | Times Cited: 9
Stacked maximum independence autoencoders: A domain generalization approach for fault diagnosis under various working conditions
Shan Pang
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111035-111035
Closed Access | Times Cited: 9
Novel Adversarial Unsupervised Subdomain Adaption Multi-Channel Deep Convolutional Network for Cross-Operating Fault Diagnosis of Rolling Bearings
B. Zhang, Tianlong Huo, Zheng Liu, et al.
IEEE Access (2024) Vol. 12, pp. 42068-42082
Open Access | Times Cited: 3
A domain adaptation method based on interpolation and centroid representation for open-set fault diagnosis of bearing
Bo Lin, Kong Sun, Daiping Wei
Measurement (2023) Vol. 216, pp. 112945-112945
Closed Access | Times Cited: 8
Motor rolling bearing fault diagnosis based on MVMD energy entropy and GWO-SVM
Jian Tang, Qiaoni Zhao
Journal of Vibroengineering (2023) Vol. 25, Iss. 6, pp. 1096-1107
Open Access | Times Cited: 8
Deep Subdomain Transfer Learning with Spatial Attention ConvLSTM Network for Fault Diagnosis of Wheelset Bearing in High-Speed Trains
Jiujian Wang, Shaopu Yang, Yongqiang Liu, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 304-304
Open Access | Times Cited: 7
Category-aware dual adversarial domain adaptation model for rolling bearings fault diagnosis under variable conditions
Xingchi Lu, Weiyang Xu, Quan Jiang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 9, pp. 095104-095104
Closed Access | Times Cited: 7
Multi-level weighted dynamic adversarial adaptation network for partial set cross-domain fault diagnosis
Yuteng Zhang, Hongliang Zhang, Rui Wang, et al.
Measurement (2023) Vol. 223, pp. 113712-113712
Closed Access | Times Cited: 7
Multiweight Adversarial Open-Set Domain Adaptation Network for Machinery Fault Diagnosis With Unknown Faults
Rui Wang, Weiguo Huang, Mingkuan Shi, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 31483-31492
Closed Access | Times Cited: 7
Adaptive graph-guided joint soft clustering and distribution alignment for cross-load and cross-device rotating machinery fault transfer diagnosis
Huoyao Xu, Xiangyu Peng, Junlang Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 045009-045009
Open Access | Times Cited: 2
Selective and Adaptive Incremental Transfer Learning with Multiple Datasets for Machine Fault Diagnosis
Kwok Tai Chui, Brij B. Gupta, Varsha Arya, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 1, pp. 1363-1379
Open Access | Times Cited: 2
A multi-module algorithm for heartbeat classification based on unsupervised learning and adaptive feature transfer
Yanan Wang, Shuaicong Hu, Jian Liu, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108072-108072
Closed Access | Times Cited: 2
Fault Diagnosis of Gearbox Based on Cross-domain Transfer Learning with Fine-tuning Mechanism Using Unbalanced Samples
Qiang Sun, Yaping Zhang, L.W. Chu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 2
Domain Adaptation for Bearing Fault Diagnosis Based on SimAM and Adaptive Weighting Strategy
Ziyi Tang, Xinhao Hou, Xinheng Huang, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4251-4251
Open Access | Times Cited: 2
A Novel Method for Fault Migration Diagnosis of Rolling Bearings Based on MSCVIT Model
Xiuyan Liu, Dengfa He, Deyang Guo, et al.
Electronics (2024) Vol. 13, Iss. 23, pp. 4726-4726
Open Access | Times Cited: 2
An Adversarial Multisource Data Subdomain Adaptation Model: A Promising Tool for Fault Diagnosis of Induction Motor Under Cross-Operating Conditions
Jiancong Shi, Xinglong Wang, Siliang Lu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 6
Mutual dimensionless improved bearing fault diagnosis based on Bp-increment broad learning system in computer vision
Chunlin Li, Qintai Hu, Shuping Zhao, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107508-107508
Closed Access | Times Cited: 6
Subdomain adaptation network with category isolation strategy for tire defect detection
Yulong Zhang, Yilin Wang, Zhiqiang Jiang, et al.
Measurement (2022) Vol. 204, pp. 112046-112046
Closed Access | Times Cited: 10
Duplex adversarial domain discriminative network for cross-domain partial transfer fault diagnosis
Fuqiang Liu, Wenlong Deng, Chaoqun Duan, et al.
Knowledge-Based Systems (2023) Vol. 279, pp. 110960-110960
Closed Access | Times Cited: 5

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