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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:

Incremental Learning and Conditional Drift Adaptation for Nonstationary Industrial Process Fault Diagnosis
Han Zhou, Hongpeng Yin, Dandan Zhao, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 4, pp. 5935-5944
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

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: 17
Gaussian Mixture Variational-Based Transformer Domain Adaptation Fault Diagnosis Method and Its Application in Bearing Fault Diagnosis
Yiyao An, Ke Zhang, Yi Chai, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 615-625
Closed Access | Times Cited: 30
A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types
Zhenzhong He, Changqing Shen, Bojian Chen, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102469-102469
Closed Access | Times Cited: 11
Few-Shot Class-Incremental Learning with Adjustable Pseudo-Incremental Sessions for Bearing Fault Diagnosis
Hongyan Zhu, Changqing Shen, Jiaan Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 19543-19552
Closed Access | Times Cited: 8
End-to-end lifecycle machine learning framework for predictive maintenance of critical equipment
Jérémie Marchand, Jannik Laval, Aïcha Sekhari, et al.
Enterprise Information Systems (2025)
Closed Access | Times Cited: 1
Incremental learning with multi-fidelity information fusion for digital twin-driven bearing fault diagnosis
Xufeng Huang, Tingli Xie, Shuyang Luo, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108212-108212
Closed Access | Times Cited: 7
A Rapid Screening Method for Suspected Defects in Steel Pipe Welds by Combining Correspondence Mechanism and Normalizing Flow
Wenqi Cui, Kechen Song, Yanyan Wang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 9, pp. 11171-11180
Closed Access | Times Cited: 7
Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities
Ruqiang Yan, Weihua Li, Siliang Lu, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 5
Enhanced industrial process modeling with transfer-incremental-learning: A parallel SAE approach and its application to a sulfur recovery unit
Tianhao Mou, Jinfeng Liu, Yuanyuan Zou, et al.
Control Engineering Practice (2024) Vol. 148, pp. 105955-105955
Closed Access | Times Cited: 4
Adaptive fault diagnosis of machining processes enabled by hybrid deep learning and incremental transfer learning
Yuchen Liang, Yuqi Wang, Weidong Li, et al.
Computers in Industry (2025) Vol. 167, pp. 104262-104262
Closed Access
An interpretable deep feature aggregation framework for machinery incremental fault diagnosis
Kui Hu, Qian Chen, Jintao Yao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103189-103189
Closed Access
Fault Diagnosis for Power Converters Based on Incremental Learning
Shiqi Zhang, Rongjie Wang, Libao Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 11
Dynamic Submodular-Based Learning Strategy in Imbalanced Drifting Streams for Real-Time Safety Assessment in Nonstationary Environments
Zeyi Liu, Xiao He
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 3, pp. 3038-3051
Closed Access | Times Cited: 9
Novel control-aware fault detection approach for non-stationary processes via deep learning-based dynamic surrogate modeling
Meng Qi, Kyojin Jang, Chengtian Cui, et al.
Process Safety and Environmental Protection (2023) Vol. 172, pp. 379-394
Closed Access | Times Cited: 8
Variable-Wise Stacked Temporal Autoencoder for Intelligent Fault Diagnosis of Industrial Systems
Lang Liu, Ying Zheng, Shaojun Liang
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7545-7555
Closed Access | Times Cited: 2
Sparse Wasserstein stationary subspace analysis for fault detection and diagnosis of nonstationary industrial processes
Keke Huang, Junxian Li, Dehao Wu, et al.
ISA Transactions (2024) Vol. 151, pp. 285-295
Closed Access | Times Cited: 2
Feature Adaptive Modulation and Prototype Learning for Domain Generalization Intelligent Fault Diagnosis
Kaixiong Xu, Huafeng Li, Yi Chai, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 12363-12374
Closed Access | Times Cited: 2
Few-shot sample multi-class incremental fault diagnosis for gearbox based on convolutional-attention fusion network
Zhen Guo, Wenliao Du, Zhiping Liu, et al.
Expert Systems with Applications (2024), pp. 125918-125918
Closed Access | Times Cited: 2
Incremental Fault Diagnosis Method Based on Metric Feature Distillation and Improved Sample Memory
Qilang Min, Juanjuan He, Piaoyao Yu, et al.
IEEE Access (2023) Vol. 11, pp. 46015-46025
Open Access | Times Cited: 6
Distribution Character-Guided Projection Replay Network for Class-Incremental Fault Diagnosis of Rotating Machinery
Zheng Zhou, Zuqiang Su, Weilong Jiang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 8, pp. 13656-13665
Closed Access | Times Cited: 1
A feature extension and reconstruction method with incremental learning capabilities under limited samples for intelligent diagnosis
Kui Hu, Zhihao Bi, Qingbo He, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102796-102796
Closed Access | Times Cited: 1
Multi-grained mode partition and robust fault diagnosis for multimode industrial processes
Han Zhou, Hongpeng Yin, Yi Chai
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109011-109011
Closed Access | Times Cited: 7
Multiview Shapelet Prototypical Network for Few-Shot Fault Incremental Learning
Xiaoxue Wan, Lihui Cen, Xiaofang Chen, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 11751-11762
Closed Access
AVATAR: Adversarial self-superVised domain Adaptation network for TARget domain
Jun Kataoka, Hyunsoo Yoon
Expert Systems with Applications (2024) Vol. 258, pp. 125147-125147
Open Access
Digital Twin-Assisted Bearing Fault Diagnosis Using Multi-Fidelity Incremental Learning
Xufeng Huang, Tingli Xie, Qi Zhou
(2024), pp. 184-190
Closed Access
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