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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 ball screw fault diagnosis using a deep domain adaptation methodology
Moslem Azamfar, Xiang Li, Jay Lee
Mechanism and Machine Theory (2020) Vol. 151, pp. 103932-103932
Closed Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

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
Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis
Ke Zhao, Hongkai Jiang, Kaibo Wang, et al.
Knowledge-Based Systems (2021) Vol. 222, pp. 106974-106974
Closed Access | Times Cited: 155
Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review
Yuekai Liu, Liang Guo, Hongli Gao, et al.
Mechanical Systems and Signal Processing (2021) Vol. 164, pp. 108068-108068
Closed Access | Times Cited: 117
Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy
Ke Zhao, Junchen Hu, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109246-109246
Closed Access | Times Cited: 93
A survey of transfer learning for machinery diagnostics and prognostics
Siya Yao, Qi Kang, MengChu Zhou, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 4, pp. 2871-2922
Closed Access | Times Cited: 74
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: 59
Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization
Bin Yang, Yaguo Lei, Xiang Li, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 122997-122997
Closed Access | Times Cited: 53
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
Deep learning-based open set multi-source domain adaptation with complementary transferability metric for mechanical fault diagnosis
Jinghui Tian, Dongying Han, Hamid Reza Karimi, et al.
Neural Networks (2023) Vol. 162, pp. 69-82
Closed Access | Times Cited: 40
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation
Bin Yang, Yaguo Lei, Xiang Li, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 4, pp. 932-945
Closed Access | Times Cited: 20
A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery
Ziling Huang, Zihao Lei, Guangrui Wen, et al.
IEEE Transactions on Industrial Electronics (2021) Vol. 69, Iss. 6, pp. 6298-6307
Closed Access | Times Cited: 84
Dynamics‐based cross‐domain structural damage detection through deep transfer learning
Yizhou Lin, Zhenhua Nie, Hongwei Ma
Computer-Aided Civil and Infrastructure Engineering (2021) Vol. 37, Iss. 1, pp. 24-54
Closed Access | Times Cited: 72
Residual deep subdomain adaptation network: A new method for intelligent fault diagnosis of bearings across multiple domains
Zuoyi Chen, Jun Wu, Chao Deng, et al.
Mechanism and Machine Theory (2021) Vol. 169, pp. 104635-104635
Closed Access | Times Cited: 57
A fault diagnosis method of bearings based on deep transfer learning
Min Huang, Jinghan Yin, Shumin Yan, et al.
Simulation Modelling Practice and Theory (2022) Vol. 122, pp. 102659-102659
Open Access | Times Cited: 52
Domain adaptation meta-learning network with discard-supplement module for few-shot cross-domain rotating machinery fault diagnosis
Yu Zhang, Dongying Han, Jinghui Tian, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110484-110484
Closed Access | Times Cited: 28
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: 8
Deep multi-scale separable convolutional network with triple attention mechanism: A novel multi-task domain adaptation method for intelligent fault diagnosis
Bo Zhao, Xianmin Zhang, Zhenhui Zhan, et al.
Expert Systems with Applications (2021) Vol. 182, pp. 115087-115087
Closed Access | Times Cited: 48
Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey
Yongjie Shi, Xianghua Ying, Jinfa Yang
Sensors (2022) Vol. 22, Iss. 15, pp. 5507-5507
Open Access | Times Cited: 32
Knowledge addition for improving the transfer learning from the laboratory to identify defects of hydraulic machinery
Anil Kumar, Adam Głowacz, Hesheng Tang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106756-106756
Closed Access | Times Cited: 20
Intelligent Diagnostics for Ball Screw Fault Through Indirect Sensing Using Deep Domain Adaptation
Vibhor Pandhare, Xiang Li, Marcella Miller, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-11
Closed Access | Times Cited: 40
Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples
Xin Zhang, Tao Huang, Bo Wu, et al.
Frontiers of Mechanical Engineering (2021) Vol. 16, Iss. 2, pp. 340-352
Closed Access | Times Cited: 32
Condition Monitoring of Machine Tool Feed Drives: A Review
Quade Butler, Youssef Ziada, David A. Stephenson, et al.
Journal of Manufacturing Science and Engineering (2022) Vol. 144, Iss. 10
Open Access | Times Cited: 27
Acoustic feature enhancement in rolling bearing fault diagnosis using sparsity-oriented multipoint optimal minimum entropy deconvolution adjusted method
Yaochun Hou, Changqing Zhou, Changming Tian, et al.
Applied Acoustics (2022) Vol. 201, pp. 109105-109105
Closed Access | Times Cited: 23
Rolling Element Bearing Fault Diagnosis Based on Multi-objective Optimized Deep Auto-encoder
Xiaoxin Chang, Shaopu Yang, Shaohua Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096007-096007
Closed Access | Times Cited: 5
Review on errors and transmission characteristics of the planetary roller screw mechanism
Zhenwen Cheng, Li Zu, Chang-Guang Zhou
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 12, pp. 5994-6006
Closed Access | Times Cited: 4
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