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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:

Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data
Yudong Cao, Minping Jia, Peng Ding, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 4, pp. 6234-6245
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Task incremental learning-driven Digital-Twin predictive modeling for customized metal forming product manufacturing process
Jie Li, Zili Wang, Shuyou Zhang, et al.
Robotics and Computer-Integrated Manufacturing (2023) Vol. 85, pp. 102647-102647
Closed Access | Times Cited: 53
Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions
Mingkuan Shi, Chuancang Ding, Shuyuan Chang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 4, pp. 6356-6368
Closed Access | Times Cited: 15
MCA-DTCN: A novel dual-task temporal convolutional network with multi-channel attention for first prediction time detection and remaining useful life prediction
Song Fu, Lin Lin, Yue Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109696-109696
Closed Access | Times Cited: 36
A new multi-sensor fusion with hybrid Convolutional Neural Network with Wiener model for remaining useful life estimation
Long Wen, Shaoquan Su, Wang Bin, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106934-106934
Closed Access | Times Cited: 31
Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery
Mingkuan Shi, Chuancang Ding, Rui Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109601-109601
Closed Access | Times Cited: 29
Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery
Yudong Cao, Minping Jia, Yifei Ding, et al.
Mechanical Systems and Signal Processing (2023) Vol. 192, pp. 110190-110190
Closed Access | Times Cited: 26
A novel rolling bearing fault diagnosis method based on Adaptive Denoising Convolutional Neural Network under noise background
Qiang Wang, Feiyun Xu
Measurement (2023) Vol. 218, pp. 113209-113209
Closed Access | Times Cited: 21
A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges
Jianghong Zhou, Jiahong Yang, Quan Qian, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062001-062001
Closed Access | Times Cited: 6
Dynamic Neural Network Structure: A Review for Its Theories and Applications
Jifeng Guo, C. L. Philip Chen, Zhulin Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 4246-4266
Closed Access | Times Cited: 5
A health assessment method with attribute importance modeling for complex systems using belief rule base
Zheng Lian, Zhijie Zhou, Changhua Hu, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110387-110387
Closed Access | Times Cited: 4
Neural ODE powered model for bearing remaining useful life predictions with intra- and inter-domain shifts
Tao Hu, Zhenling Mo, Zhenyu Zhang
Advanced Engineering Informatics (2025) Vol. 64, pp. 103077-103077
Closed Access
A core space gradient projection-based continual learning framework for remaining useful life prediction of machinery under variable operating conditions
Xiangyu Ren, Yong Qin, Bin Li, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110428-110428
Closed Access | Times Cited: 3
DECVAE: Data augmentation via conditional variational auto-encoder with distribution enhancement for few-shot fault diagnosis of mechanical system
Yikun Liu, Song Fu, Lin Lin, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 046104-046104
Closed Access | Times Cited: 3
Cross-domain privacy-preserving broad network for fault diagnosis of rotating machinery
Mingkuan Shi, Chuancang Ding, Shuyuan Chang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102157-102157
Closed Access | Times Cited: 7
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
Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment
Yudong Cao, Qing Ni, Minping Jia, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 16, pp. 27828-27839
Closed Access | Times Cited: 2
Continuous Remaining Useful Life Prediction by Self-Guided Attention Convolutional Neural Network and Memory Consciousness Adjustment
Jianghong Zhou, Junyu Qi, Dingliang Chen, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 31947-31958
Closed Access | Times Cited: 2
A session-incremental broad learning system for motor imagery EEG classification
Yufei Yang, Mingai Li, Hanlin Liu, et al.
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106717-106717
Closed Access | Times Cited: 2
Picture-in-Picture Strategy-Based Complex Graph Neural Network for Remaining Useful Life Prediction of Rotating Machinery
Yudong Cao, Jichao Zhuang, Minping Jia, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 6
Complex augmented representation network for transferable health prognosis of rolling bearing considering dynamic covariate shift
Yudong Cao, Minping Jia, Xiaoli Zhao, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109692-109692
Closed Access | Times Cited: 5
A quantitative monitoring method for the pretightening state of bolts based on nonlinear Lamb waves and incremental learning
Tiantian Wang, Longzhen Tian, Jinsong Yang, et al.
Nondestructive Testing And Evaluation (2023) Vol. 39, Iss. 8, pp. 2150-2169
Closed Access | Times Cited: 5
A Life-Stage Domain Aware Network for Bearing Health Prognosis Under Unseen Temporal Distribution Shift
Tao Hu, Zhenling Mo, Zijun Zhang
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 1
Physical mechanism-corrected degradation trend prediction network under data missing
Qichao Yang, Baoping Tang, Qikang Li, et al.
ISA Transactions (2024) Vol. 149, pp. 237-255
Closed Access | Times Cited: 1
Logarithmic Cumulative Transformation: A Simple Yet Effective Approach for Bearing Remaining Useful Life Prediction
Jing-Xiao Liao, Jipu Li, Hangcheng Dong, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 9, pp. 11024-11034
Closed Access | Times Cited: 1
Continual Learning for Smart City: A Survey
Li Yi Yang, Zhipeng Luo, Shiming Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7805-7824
Open Access | Times Cited: 1
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