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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:

Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions
Jipu Li, Ruyi Huang, Zhuyun Chen, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101883-101883
Closed Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples
Mingkuan Shi, Chuancang Ding, Rui Wang, et al.
Knowledge-Based Systems (2024) Vol. 286, pp. 111397-111397
Closed Access | Times Cited: 2
Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments
Yan Zhang, Changqing Shen, Xingli Zhong, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102715-102715
Closed Access | Times Cited: 2
Granularity knowledge-sharing supervised contrastive learning framework for long-tailed fault diagnosis of rotating machinery
Shuyuan Chang, Liyong Wang, Mingkuan Shi, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112354-112354
Closed Access | Times Cited: 2
Bearing fault diagnosis based on online symbolic aggregation approximation and streaming deep discriminant analysis
Zixuan Wang, Fang Ye, Jiusun Zeng
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066109-066109
Closed Access | Times Cited: 1
Measuring compound defect of bearing by wavelet gradient integrated spiking neural network
Jianping Xuan, Zisheng Wang, Shaochen Li, et al.
Measurement (2023) Vol. 223, pp. 113796-113796
Closed Access | Times Cited: 3
Single-Domain Incremental Generation Network for Machinery Intelligent Fault Diagnosis Under Unknown Working Speeds
Yuanyue Pu, Jian Tang, Xue‐Gang Li, et al.
(2023)
Closed Access | Times Cited: 2
Scalable and Reliable Deep Transfer Learning for Intelligent Fault Detection Via Multi-Scale Neural Processes Embedded with Knowledge
Zhongzhi Li, Jingqi Tu, Jiacheng Zhu, et al.
(2024)
Open Access
Intelligent control strategy for industrial furnaces based on yield classification prediction using a gray relative correlation-convolutional neural network-multilayer perceptron (GCM) machine learning model
Hua Guo, Shengxiang Deng, Jingbiao Yang
PeerJ Computer Science (2024) Vol. 10, pp. e1836-e1836
Open Access
Scalable and Reliable Deep Transfer Learning for Intelligent Fault Detection Via Multi-Scale Neural Processes Embedded with Knowledge
Zhongzhi Li, Jingqi Tu, Jiacheng Zhu, et al.
(2024)
Open Access
Deep learning based self-adaptive modeling of multimode continuous manufacturing processes and its application to rotary drying process
Tianyu Wang, Ruixiang Zheng, Mian Li, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access
Continual learning for fault diagnosis considering variable working conditions
Dongdong Wei, Ming J. Zuo, Zhigang Tian
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2024)
Closed Access
Source-free Open-set Domain Adaptation Network for Emerging Fault Diagnosis of Planetary Gearbox
Ke Yue, Jipu Li, Zhuyun Chen, et al.
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2024), pp. 1-6
Closed Access
Quality-related fault detection for dynamic process based on quality-driven long short-term memory network and autoencoder
Yishun Liu, Keke Huang, Benedict Jun, et al.
Neural Networks (2024) Vol. 181, pp. 106819-106819
Closed Access
Model of Dynamic Mechanical Parameters and Vibration Analysis in Hot Rolling
Ming Zhang, Zihao Huang, Yanbo Yang
Metals (2024) Vol. 14, Iss. 11, pp. 1257-1257
Open Access
A stage-related online incremental transfer learning-based remaining useful life prediction method of bearings
Weisen Guo, Fang Li, Fang Li, et al.
Applied Soft Computing (2024), pp. 112491-112491
Closed Access
LFC-DGNet: A likelihood feature compositional domain generalization network from single-fault to unseen multi-component compound fault diagnosis across machines
Yumeng Zhu, Yanyang Zi, Mingquan Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103037-103037
Closed Access
A Novel Motion State Recognition Method for Blast Furnace Burden Surface in Ironmaking Process
Zhaohui Jiang, Jiancai Huang, Weihua Gui, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 1
An Auto-Regulated Universal Domain Adaptation Network for Uncertain Diagnostic Scenarios of Rotating Machinery
Jipu Li, Xiaoge Zhang, Ke Yue, et al.
(2023)
Closed Access | Times Cited: 1
Proceedings of the XXX International Scientific and Practical Conference

(2023)
Open Access
TRENDS AND MODERN METHODS OF IMPROVING SCIENTIFIC IDEAS
Denis Vladlenov
(2023), pp. 1-148
Open Access
An Emerging Fault Diagnosis Framework with Incremental Meta-Learning for Rotating Machinery
Ke Yue, Jipu Li, Zhuyun Chen, et al.
(2023), pp. 1-6
Closed Access
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