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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:

Intelligent Fault Diagnosis by Fusing Domain Adversarial Training and Maximum Mean Discrepancy via Ensemble Learning
Yibin Li, Yan Song, Lei Jia, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 4, pp. 2833-2841
Closed Access | Times Cited: 295

Showing 76-100 of 295 citing articles:

Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy
Rui Wang, Weiguo Huang, Xiao Zhang, et al.
Knowledge-Based Systems (2023) Vol. 281, pp. 111093-111093
Closed Access | Times Cited: 11
Rotary Machinery Fault Diagnosis Based on Split Attention Mechanism and Graph Convolutional Domain Adaptive Adversarial Network
Haitao Wang, Mingjun Li, Zelin Liu, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 5399-5413
Closed Access | Times Cited: 4
A process knowledge-based hybrid method for univariate time series prediction with uncertain inputs in process industry
Linjin Sun, Yangjian Ji, Qixuan Li, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102438-102438
Closed Access | Times Cited: 4
A review of maritime equipment prognostics health management from a classification society perspective
Liang Qin, Knut Erik Knutsen, Erik Vanem, et al.
Ocean Engineering (2024) Vol. 301, pp. 117619-117619
Open Access | Times Cited: 4
A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis
Lanjun Wan, Le Huang, Jiaen Ning, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112113-112113
Closed Access | Times Cited: 4
Multi-label domain adversarial reinforcement learning for unsupervised compound fault recognition
Zisheng Wang, Jianping Xuan, Tielin Shi, et al.
Reliability Engineering & System Safety (2024), pp. 110638-110638
Closed Access | Times Cited: 4
Unsupervised Joint Subdomain Adaptation Network for Fault Diagnosis
Baoqiang Wang, Yuan Wei, Shulin Liu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 9, pp. 8891-8903
Closed Access | Times Cited: 18
Data‐driven sensor fault detection and isolation of nonlinear systems: Deep neural‐network Koopman operator
Mohammadhosein Bakhtiaridoust, Fatemeh Negar Irani, Meysam Yadegar, et al.
IET Control Theory and Applications (2022) Vol. 17, Iss. 2, pp. 123-132
Open Access | Times Cited: 18
Collaborative and adversarial deep transfer auto-encoder for intelligent fault diagnosis
Yulin Ma, Jun Yang, Lei Li
Neurocomputing (2022) Vol. 486, pp. 1-15
Closed Access | Times Cited: 16
Deep Adversarial Hybrid Domain-Adaptation Network for Varying Working Conditions Fault Diagnosis of High-Speed Train Bogie
Buyao Yang, Tiantian Wang, Jingsong Xie, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 10
CityTrans: Domain-Adversarial Training With Knowledge Transfer for Spatio-Temporal Prediction Across Cities
Xiaocao Ouyang, Yan Yang, Wei Zhou, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 1, pp. 62-76
Closed Access | Times Cited: 9
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
Novel adaptive loss weighted transfer network for partial domain fault diagnosis
Tongzhuo Han, Jinxi Wang, Peng Chang, et al.
ISA Transactions (2023) Vol. 145, pp. 362-372
Closed Access | Times Cited: 9
A multi-source subdomain adaptation fault diagnosis method based on unidirectional movement of the target domain
Tianyu Ma, Zhipeng Li, Dan Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056117-056117
Closed Access | Times Cited: 3
Multi-target domain adaptation intelligent diagnosis method for rotating machinery based on multi-source attention mechanism and mixup feature augmentation
Mengyu Liu, Zhe Cheng, Yu Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110298-110298
Closed Access | Times Cited: 3
Long-tailed multi-domain generalization for fault diagnosis of rotating machinery under variable operating conditions
Chuanxia Jian, Guopeng Mo, Yonghe Peng, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 3
Application of wavelet dynamic joint adaptive network guided by pseudo-label alignment mechanism in gearbox fault diagnosis
Zhenfa Shao, Hong Jiang, Xiangfeng Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116111-116111
Closed Access | Times Cited: 3
Instance-based transfer learning method via modified domain-adversarial neural network with influence function: Applications to design metamodeling and fault diagnosis
Jin Hyeok Kim, Jongsoo Lee
Applied Soft Computing (2022) Vol. 123, pp. 108934-108934
Closed Access | Times Cited: 15
A novel transfer learning fault diagnosis method for rolling bearing based on feature correlation matching
Bo Wang, Baoqiang Wang, Yi Ning
Measurement Science and Technology (2022) Vol. 33, Iss. 12, pp. 125006-125006
Closed Access | Times Cited: 15
An open-set fault diagnosis framework for MMCs based on optimized temporal convolutional network
Qun Guo, Jing Li, Fengdao Zhou, et al.
Applied Soft Computing (2022) Vol. 133, pp. 109959-109959
Closed Access | Times Cited: 15
Cross-Domain Open-Set Fault Diagnosis Based on Target Domain Slanted Adversarial Network for Rotating Machinery
Zuqiang Su, Weilong Jiang, Yang Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 8
Transferable dynamic enhanced cost-sensitive network for cross-domain intelligent diagnosis of rotating machinery under imbalanced datasets
Gang Mao, Yongbo Li, Zhiqiang Cai, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106670-106670
Closed Access | Times Cited: 8
IFDS: An Intelligent Fault Diagnosis System With Multisource Unsupervised Domain Adaptation for Different Working Conditions
Danya Xu, Yibin Li, Yan Song, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 19
STR: Secure Computation on Additive Shares Using the Share-Transform-Reveal Strategy
Zhihua Xia, Qi Gu, Wenhao Zhou, et al.
IEEE Transactions on Computers (2021) Vol. 73, Iss. 2, pp. 340-352
Open Access | Times Cited: 18
An hybrid domain adaptation diagnostic network guided by curriculum pseudo labels for electro-mechanical actuator
Jianyu Wang, Zhiguo Zeng, Heng Zhang, et al.
Reliability Engineering & System Safety (2022) Vol. 228, pp. 108770-108770
Closed Access | Times Cited: 13

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