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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: 294

Showing 1-25 of 294 citing articles:

Ensemble deep learning: A review
M. A. Ganaie, Minghui Hu, A. K. Malik, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105151-105151
Open Access | Times Cited: 1195
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Weihua Li, Ruyi Huang, Jipu Li, et al.
Mechanical Systems and Signal Processing (2021) Vol. 167, pp. 108487-108487
Open Access | Times Cited: 523
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
Zhibin Zhao, Qiyang Zhang, Xiaolei Yu, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-28
Open Access | Times Cited: 325
Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives
Tongyang Pan, Jinglong Chen, Tianci Zhang, et al.
ISA Transactions (2021) Vol. 128, pp. 1-10
Closed Access | Times Cited: 133
Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine
Te Han, Wenzhen Xie, Zhongyi Pei
Information Sciences (2023) Vol. 648, pp. 119496-119496
Closed Access | Times Cited: 122
Deep-Learning-Based Open Set Fault Diagnosis by Extreme Value Theory
Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 1, pp. 185-196
Closed Access | Times Cited: 121
Blockchain-Enabled Service Optimizations in Supply Chain Digital Twin
Keke Gai, Yue Zhang, Meikang Qiu, et al.
IEEE Transactions on Services Computing (2022), pp. 1-12
Closed Access | Times Cited: 81
Spatial graph convolutional neural network via structured subdomain adaptation and domain adversarial learning for bearing fault diagnosis
Mohammadreza Ghorvei, Mohammadreza Kavianpour, Mohammad Taghi Hamidi Beheshti, et al.
Neurocomputing (2022) Vol. 517, pp. 44-61
Open Access | Times Cited: 77
Vector-Indistinguishability: Location Dependency Based Privacy Protection for Successive Location Data
Ying Zhao, Jinjun Chen
IEEE Transactions on Computers (2023) Vol. 73, Iss. 4, pp. 970-979
Closed Access | Times Cited: 77
Digital twin-driven fault diagnosis method for composite faults by combining virtual and real data
Chao Yang, Baoping Cai, Qibing Wu, et al.
Journal of Industrial Information Integration (2023) Vol. 33, pp. 100469-100469
Closed Access | Times Cited: 76
Fault diagnosis in rotating machines based on transfer learning: Literature review
Iqbal Misbah, C.K.M. Lee, K. L. Keung
Knowledge-Based Systems (2023) Vol. 283, pp. 111158-111158
Closed Access | Times Cited: 57
Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis
Xingxing Jiang, Xuegang Li, Qian Wang, et al.
Information Fusion (2023) Vol. 101, pp. 102005-102005
Closed Access | Times Cited: 50
A literature review of fault diagnosis based on ensemble learning
Zhibao Mian, Xiaofei Deng, Xiaohui Dong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107357-107357
Open Access | Times Cited: 47
An Adaptive Domain Adaptation Method for Rolling Bearings’ Fault Diagnosis Fusing Deep Convolution and Self-Attention Networks
Xiao Yu, Youjie Wang, Zhongting Liang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 45
A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
Mehdi Saman Azari, Francesco Flammini, Stefania Santini, et al.
IEEE Access (2023) Vol. 11, pp. 12887-12910
Open Access | Times Cited: 42
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions
Yongchao Zhang, Jinliang Ding, Yongbo Li, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108236-108236
Closed Access | Times Cited: 41
Digital twin-assisted dual transfer: a novel information-model adaptation method for rolling bearing fault diagnosis
Zixian Li, Xiaoxi Ding, Zhenzhen Song, et al.
Information Fusion (2024), pp. 102271-102271
Closed Access | Times Cited: 15
Deep Neural Network Security Collaborative Filtering Scheme for Service Recommendation in Intelligent Cyber–Physical Systems
Wei Liang, Songyou Xie, Jiahong Cai, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 22, pp. 22123-22132
Closed Access | Times Cited: 62
Discriminative feature learning using a multiscale convolutional capsule network from attitude data for fault diagnosis of industrial robots
Jianyu Long, Yaoxin Qin, Zhe Yang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 182, pp. 109569-109569
Open Access | Times Cited: 54
Source-Free Adaptation Diagnosis for Rotating Machinery
Jinyang Jiao, Hao Li, Tian Zhang, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 9, pp. 9586-9595
Closed Access | Times Cited: 52
Fault diagnosis of mechanical equipment in high energy consumption industries in China: A review
Yongjian Sun, Jian Wang, Xiaohong Wang
Mechanical Systems and Signal Processing (2022) Vol. 186, pp. 109833-109833
Closed Access | Times Cited: 42
A novel similarity-based status characterization methodology for gear surface wear propagation monitoring
Ke Feng, Qing Ni, Michael Beer, et al.
Tribology International (2022) Vol. 174, pp. 107765-107765
Closed Access | Times Cited: 39
Data Augmentation for Intelligent Mechanical Fault Diagnosis Based on Local Shared Multiple-Generator GAN
Qingwen Guo, Yibin Li, Yanjun Liu, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 10, pp. 9598-9609
Closed Access | Times Cited: 38
A novel adversarial domain adaptation transfer learning method for tool wear state prediction
Kai Li, Ming-Song Chen, Y.C. Lin, et al.
Knowledge-Based Systems (2022) Vol. 254, pp. 109537-109537
Closed Access | Times Cited: 37
Secure Deep Learning in Defense in Deep-Learning-as-a-Service Computing Systems in Digital Twins
Zhihan Lv, Dongliang Chen, Bin Cao, et al.
IEEE Transactions on Computers (2023) Vol. 73, Iss. 3, pp. 656-668
Closed Access | Times Cited: 36
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