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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 Calibration-Based Hybrid Transfer Learning Framework for RUL Prediction of Rolling Bearing Across Different Machines
Yafei Deng, Shichang Du, Dong Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
Huiqin Li, Zhengxin Zhang, Tianmei Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 209, pp. 111120-111120
Closed Access | Times Cited: 65
A novel framework based on two-stage multi-view feature optimization and improved support vector data description for aeroengine bearing early fault detection
Zhaoguo Hou, Huawei Wang, Yubin Yue, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110027-110027
Closed Access | Times Cited: 10
A sound-vibration physical-information fusion constraint-guided deep learning method for rolling bearing fault diagnosis
You Keshun, Wang Puzhou, Peng Huang, et al.
Reliability Engineering & System Safety (2024), pp. 110556-110556
Closed Access | Times Cited: 9
Convolutional Neural Network-Based Pattern Recognition of Partial Discharge in High-Speed Electric-Multiple-Unit Cable Termination
Chuanming Sun, Guangning Wu, Guixiang Pan, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2660-2660
Open Access | Times Cited: 7
Digital twin-driven discriminative graph learning networks for cross-domain bearing fault recognition
Yadong Xu, Qiubo Jiang, Sheng Li, et al.
Computers & Industrial Engineering (2024) Vol. 193, pp. 110292-110292
Closed Access | Times Cited: 7
A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery
Biliang Lu, Yingjie Zhang, Zhaohua Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109618-109618
Closed Access | Times Cited: 18
Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines
Wentao Mao, Wen Zhang, Ke Feng, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109695-109695
Closed Access | Times Cited: 18
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
Joint optimization of inspection and condition-based maintenance for a deteriorating product under extended warranty
Rui Zheng, Haojun Fang, Chaoming Hu
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110043-110043
Closed Access | Times Cited: 6
An optimal selective maintenance policy for multi-state series production systems by considering environment impact
Haibo Jin, Xianhe Song, Hao Xia, et al.
Computers & Industrial Engineering (2024) Vol. 190, pp. 110020-110020
Closed Access | Times Cited: 6
Advancing RUL prediction in mechanical systems: A hybrid deep learning approach utilizing non-full lifecycle data
Tianjiao Lin, Liuyang Song, Lingli Cui, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102524-102524
Closed Access | Times Cited: 6
Incremental bearing fault diagnosis method under imbalanced sample conditions
Gezhi Liu, Lifeng Wu
Computers & Industrial Engineering (2024) Vol. 192, pp. 110203-110203
Closed Access | Times Cited: 6
A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
Suraj Gupta, Akhilesh Kumar, J. Maiti
Safety Science (2024) Vol. 177, pp. 106590-106590
Closed Access | Times Cited: 6
A data-driven intelligent predictive maintenance decision framework for mechanical systems integrating transformer and kernel density estimation
Enzhi Dong, Xianbiao Zhan, Hao Yan, et al.
Computers & Industrial Engineering (2025), pp. 110868-110868
Closed Access
A dual-path architecture based on time series decomposition and degradation correction for remaining useful life prediction of aero-engine
Chenchen Wu, Jialong He, Liang Wang, et al.
Computers & Industrial Engineering (2025), pp. 110964-110964
Closed Access
Wear and life predictions for bearings considering simulation-to-reality variability
Rui He, Florian König, Yifei Wang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112498-112498
Closed Access
Rolling bearing remaining useful life prediction using deep learning based on high-quality representation
Chenyang Wang, Wanlu Jiang, Lei Shi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An unsupervised subdomain adaptation of cross-domain remaining useful life prediction for sensor-equipped equipments
Jianhai Yan, Zhen He, Shuguang He, et al.
Computers & Industrial Engineering (2025), pp. 110967-110967
Closed Access
Dynamic model-assisted disentanglement framework for rolling bearing fault diagnosis under time-varying speed conditions
Yuhui Xu, Yimin Jiang, Tangbin Xia, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112588-112588
Closed Access
Enhancing machine tool predictive maintenance: A dual-model approach integrating improved deep autoencoders and graph attention network
Changchun Liu, Dunbing Tang, Haihua Zhu, et al.
Computers & Industrial Engineering (2025), pp. 111048-111048
Closed Access
Recent progress and prospective evaluation of fault diagnosis strategies for electrified drive powertrains: A comprehensive review
Zhang Pengbo, Renxiang Chen, Xiangyang Xu, et al.
Measurement (2023) Vol. 222, pp. 113711-113711
Closed Access | Times Cited: 12
Bearings remaining useful life prediction across equipment-operating conditions based on multisource-multitarget domain adaptation
Shu’ang Li, Xingquan Shen, Jinjie Zhou, et al.
Measurement (2024) Vol. 236, pp. 115026-115026
Closed Access | Times Cited: 4
Application of a hybrid-driven framework based on sensor optimization placement for the thermal error prediction of the spindle-bearing system
Ziquan Zhan, Bin Fang, Shaoke Wan, et al.
Precision Engineering (2024) Vol. 89, pp. 174-189
Closed Access | Times Cited: 4
GRU-AE-wiener: A generative adversarial network assisted hybrid gated recurrent unit with Wiener model for bearing remaining useful life estimation
Long Wen, Shaoquan Su, Xinyu Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111663-111663
Closed Access | Times Cited: 4
DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification
Miao Wang, Hao Tang, Yu Wang, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
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