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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 Unsupervised Deep Transfer Learning Method With Isolation Forest for Machine Fault Diagnosis
Jinglun Liang, Qin Liang, Zhaoqian Wu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 235-246
Closed Access | Times Cited: 15

Showing 15 citing articles:

A robust deep learning system for motor bearing fault detection: leveraging multiple learning strategies and a novel double loss function
Khoa D. Tran, Lam Pham, Nguyễn Văn Anh, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 4
Open Access
A method combining dynamic path matching with multipath adaptive drift Lévy stable motion for performance degradation prediction
Shuai Lv, Shujie Liu, Hongkun Li, et al.
Structural Health Monitoring (2025)
Closed Access
Multi-source domain adaptation using diffusion denoising for bearing fault diagnosis under variable working conditions
Xuefang Xu, Xu Yang, Zijian Qiao, et al.
Knowledge-Based Systems (2024) Vol. 302, pp. 112396-112396
Closed Access | Times Cited: 4
A Frequency Contrastive Learning Method with Few Labeled Data for Fault Diagnosis
Qiujin Liang, Yuhao Jin, Tao Zhang
Lecture notes in electrical engineering (2025), pp. 452-462
Closed Access
Fusing multichannel autoencoders with dynamic global loss for self-supervised fault diagnosis
Chuan Li, Manjun Xiong, Hongmeng Shen, et al.
Computers in Industry (2024) Vol. 164, pp. 104165-104165
Closed Access | Times Cited: 3
Remaining Useful Life Prediction via Frequency Emphasizing Mix-Up and Masked Reconstruction
Haoren Guo, Haiyue Zhu, Jiahui Wang, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 9, pp. 4686-4695
Closed Access | Times Cited: 2
Fault diagnosis for ball screws in industrial robots under variable and inaccessible working conditions with non-vibration signals
Qitong Chen, Qi Li, Sijia Wu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102617-102617
Closed Access | Times Cited: 2
Intelligent Fault Diagnosis for Variable Working Conditions Based on SAAFN and BICP
Xuefang Xu, Xu Yang, Zijian Qiao, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 10841-10852
Closed Access | Times Cited: 1
Ensemble-Based Anomaly Detection with Comprehensive Feature Distances for Induction Motors
Jae-Hoon Shim, Jeongjun Seo, Sangwon Lee, et al.
IEEE Transactions on Industry Applications (2024) Vol. 60, Iss. 4, pp. 6033-6044
Closed Access | Times Cited: 1
A Quality-Relevant Fault Diagnosis Scheme Aided by Enhanced Dynamic Just-in-Time Learning for Nonlinear Industrial Systems
Cheng-Yuan Sun, Guang‐Hong Yang
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7471-7480
Closed Access
An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation
Andrea Loddo, Davide Ghiani, Alessandra Perniciano, et al.
Information (2024) Vol. 15, Iss. 6, pp. 360-360
Open Access
A Hybrid Supervised Approach for Fault Diagnosis Based on Temporal and Frequency Domains
Qiujin Liang, Tao Zhang
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 2577-2582
Closed Access
Attention-Based Two-Stage Multi-Sensor Feature Fusion Method For Bearing Fault Diagnosis
Wei Zhang, Qiwei Xu, Yaowen Hu, et al.
IEEE Transactions on Industry Applications (2024) Vol. 60, Iss. 6, pp. 8709-8721
Closed Access
Adaptive fault diagnosis for high-purity carbonate process based on unsupervised and transfer learning
Huijun Shi, Xiaolong Ge, Botan Liu
Chemical Engineering Science (2024) Vol. 300, pp. 120631-120631
Closed Access
A k-nearest Neighbor Wind Turbine Fault Detection Method based on Deep Metric Learning and Domain Feature Discrimination (November 2024)
Ziheng Dai, Xiaoyi Qian, Changsheng Kang, et al.
IEEE Access (2024) Vol. 12, pp. 181666-181678
Open Access
Enhanced prediction of end-point carbon content in electric arc furnaces using Bayesian optimised fully connected neural networks with early stopping
Hong‐Chun Zhu, Hongbin Lu, Zhouhua Jiang, et al.
Ironmaking & Steelmaking Processes Products and Applications (2024)
Closed Access
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