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:

Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation
Yifei Ding, Peng Ding, Xiaoli Zhao, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 5, pp. 4143-4152
Closed Access | Times Cited: 67

Showing 26-50 of 67 citing articles:

Cross-domain remaining useful life prediction for rolling bearings based on wavelet decomposition and dynamic calibrated domain adaptive networks
Yazhou Zhang, Xiaoqiang Zhao, Zhenrui Peng, et al.
Measurement (2025), pp. 117278-117278
Closed Access

Prognostics and health management for induction machines: a comprehensive review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 3, pp. 937-962
Closed Access | Times Cited: 11

A new domain adaption residual separable convolutional neural network model for cross-domain remaining useful life prediction
Chengying Zhao, Xianzhen Huang, Shangjie Li, et al.
ISA Transactions (2023) Vol. 145, pp. 239-252
Closed Access | Times Cited: 11

Remaining useful life prediction across machines using multi-source adversarial online knowledge distillation
Keying Liu, Yifan Li
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107726-107726
Closed Access | Times Cited: 10

A multi-model data-fusion based deep transfer learning for improved remaining useful life estimation for IIOT based systems
Sourajit Behera, Rajiv Misra
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105712-105712
Closed Access | Times Cited: 17

A multi-constrained domain adaptation network for remaining useful life prediction of bearings
Xingjun Dong, Changsheng Zhang, Hanrui Liu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 206, pp. 110900-110900
Closed Access | Times Cited: 10

Domain adversarial-based multi-source deep transfer network for cross-production-line time series forecasting
Lei Chen, Chuang Peng, Chen Yang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 19, pp. 22803-22817
Closed Access | Times Cited: 7

Machinery degradation trend prediction considering temporal distribution discrepancy between degradation stages
Shudong Ou, Ming Zhao, Hao Wu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107872-107872
Closed Access | Times Cited: 2

Subspace Metric-Based Transfer Learning for Spindle Thermal Error Prediction Under Time-Varying Conditions
Haoyang Mao, Zhenyu Liu, Chan Qiu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 2

Digital Twin-Driven Graph Convolutional Memory Network for Defect Evolution Assessment of Rolling Bearings
Yongchang Xiao, Lingli Cui, Dongdong Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 2

A meta-weighted network equipped with uncertainty estimations for remaining useful life prediction of turbopump bearings
Tongyang Pan, Jinglong Chen, Z. Liu
Expert Systems with Applications (2024) Vol. 252, pp. 124161-124161
Closed Access | Times Cited: 2

Feature-Enhanced Multisource Subdomain Adaptation on Robust Remaining Useful Life Prediction
Hsuan-Wen Lu, Chia‐Yen Lee
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 7, pp. 6130-6137
Closed Access | Times Cited: 2

Fractional derivative kernel recursive generalized maximum correntropy for RUL prediction of rolling bearings
Tingsen Zhang, Ming Ye, Xifeng Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 217, pp. 111527-111527
Closed Access | Times Cited: 2

An innovative multisource multibranch metric ensemble deep transfer learning algorithm for tool wear monitoring
Zhilie Gao, Ni Chen, Yingfei Yang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102659-102659
Closed Access | Times Cited: 2

Remaining useful life prediction with spatio-temporal graph transform and weakly supervised adversarial network: An application in power components
Shuhan Deng, Zhuyun Chen, Hao Lan, et al.
Energy (2024) Vol. 313, pp. 133599-133599
Closed Access | Times Cited: 2

Histogram-Based Gradient Boosting Tree: A Federated Learning Approach for Collaborative Fault Diagnosis
Liqiao Xia, Pai Zheng, Jinjie Li, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 4, pp. 2637-2648
Closed Access | Times Cited: 6

A Study of a Domain-Adaptive LSTM-DNN-Based Method for Remaining Useful Life Prediction of Planetary Gearbox
Zixuan Liu, Chaobin Tan, Yuxin Liu, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 2002-2002
Open Access | Times Cited: 5

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 Multiscale Feature Weighted Transfer Network for Unlabeled Rotating Machinery Fault Diagnosis
Liang Ge, Yinjun Wang, Xiaoxi Ding, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 12, pp. 19305-19315
Closed Access | Times Cited: 1

Remaining useful life prediction of machinery based on performance evaluation and online cross-domain health indicator under unknown working conditions
Xuewu Pei, Liang Gao, Xinyu Li
Journal of Manufacturing Systems (2024) Vol. 75, pp. 213-227
Closed Access | Times Cited: 1

Prognostics for the Sustainability of Industrial Cyber-Physical Systems: From an Artificial Intelligence Perspective
Jiusi Zhang, Jilun Tian, Hao Luo, et al.
IEEE Transactions on Industrial Cyber-Physical Systems (2024) Vol. 2, pp. 495-507
Closed Access | Times Cited: 1

Source-Free Dynamic Weighted Federated Transfer Learning for State-of-Health Estimation of Lithium-Ion Batteries with Data Privacy
Tengfei Han, Yue Shang, Pu Yang, et al.
IEEE Transactions on Power Electronics (2024) Vol. 39, Iss. 11, pp. 15085-15100
Closed Access | Times Cited: 1

A Multisource Scale Subdomain Adaptation Network With Multihead Hybrid Self-Attention for Remaining Useful Life Prediction of Rolling Bearings
Hao Tian, Yan Han, Pingan Yang, et al.
IEEE Sensors Journal (2023) Vol. 24, Iss. 3, pp. 3098-3112
Closed Access | Times Cited: 2

A novel transfer learning approach based on deep degradation feature adaptive alignment for remaining useful life prediction with multi-condition data
Yi Lyu, Zhenfei Wen, Aiguo Chen
Journal of Intelligent Manufacturing (2023)
Closed Access | Times Cited: 2

Multiscale capsule networks with attention mechanisms based on domain-invariant properties for cross-domain lifetime prediction
Zhiwu Shang, Zehua Feng
Digital Signal Processing (2023) Vol. 146, pp. 104368-104368
Closed Access | Times Cited: 2

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