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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:

Meta deep learning based rotating machinery health prognostics toward few-shot prognostics
Peng Ding, Minping Jia, Xiaoli Zhao
Applied Soft Computing (2021) Vol. 104, pp. 107211-107211
Closed Access | Times Cited: 63

Showing 26-50 of 63 citing articles:

Mechatronics Equipment Performance Degradation Assessment Using Limited and Unlabeled Data
Peng Ding, Minping Jia
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 4, pp. 2374-2385
Closed Access | Times Cited: 30
Machinery Probabilistic Few-Shot Prognostics Considering Prediction Uncertainty
Peng Ding, Minping Jia, Yifei Ding, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 1, pp. 106-118
Closed Access | Times Cited: 11
A Fault Diagnosis Method for the Autonomous Underwater Vehicle via Meta-Self-Attention Multi-Scale CNN
Yimin Chen, Yazhou Wang, Yang Yu, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 6, pp. 1121-1121
Open Access | Times Cited: 11
Intelligent machinery health prognostics under variable operation conditions with limited and variable-length data
Peng Ding, Minping Jia, Yifei Ding, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101691-101691
Closed Access | Times Cited: 16
A Novel Prediction Method Based on Bi-Channel Hierarchical Vision Transformer for Rolling Bearings’ Remaining Useful Life
Wei Hao, Zhixuan Li, Guohao Qin, et al.
Processes (2023) Vol. 11, Iss. 4, pp. 1153-1153
Open Access | Times Cited: 10
Learning to generalize with latent embedding optimization for few- and zero-shot cross domain fault diagnosis
Chuanhang Qiu, Tang Tang, Tianyuan Yang, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124280-124280
Closed Access | Times Cited: 3
Adaptive Attention-Driven Few-Shot Learning for Robust Fault Diagnosis
Zhe Wang, Yi Ding, Te Han, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 26034-26043
Closed Access | Times Cited: 3
Investigation on a chatter detection method based on meta learning for machining multiple types of workpieces
Haiyong Sun, Hongyu Jin, Yue Zhuo, et al.
Journal of Manufacturing Processes (2024) Vol. 131, pp. 1815-1832
Closed Access | Times Cited: 3
Discrete entropy-based health indicator and LSTM for the forecasting of bearing health
Yuqing Zhou, Anil Kumar, Chander Parkash, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 2
Closed Access | Times Cited: 8
Remaining useful life prediction for bearing based on automatic feature combination extraction and residual multi-Head attention GRU network
Jiawen He, Xu Zhang, Xuechang Zhang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036003-036003
Closed Access | Times Cited: 8
Toward axial accuracy prediction and optimization of metal tube bending forming: A novel GRU-integrated Pb-NSGA-III optimization framework
Chang Sun, Zili Wang, Shuyou Zhang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105193-105193
Closed Access | Times Cited: 13
Deep meta-learning and variational autoencoder for coupling fault diagnosis of rolling bearing under variable working conditions
Changchang Che, Huawei Wang, Ruiguan Lin, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2022) Vol. 236, Iss. 17, pp. 9900-9913
Closed Access | Times Cited: 12
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
A novel meta‐learning network for partial discharge source localization in gas‐insulated switchgear via digital twin
Jing Yan, Yanxin Wang, Zhou Yang, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 9, pp. 1785-1794
Open Access | Times Cited: 2
Generative knowledge-based transfer learning for few-shot health condition estimation
Weijie Kang, Jiyang Xiao, Junjie Xue
Complex & Intelligent Systems (2022) Vol. 9, Iss. 1, pp. 965-979
Open Access | Times Cited: 11
Bearing Fault Degradation Modeling Based on Multitime Windows Fusion Unsupervised Health Indicator
Solichin Mochammad, Yoojeong Noh, Young-Jin Kang
IEEE Sensors Journal (2023) Vol. 23, Iss. 17, pp. 19623-19634
Closed Access | Times Cited: 6
An Unsupervised Pairwise Comparison Learning Approach With Adaptive Network Structure for Equipment Health Quantitative Assessment
Juanru Zhao, Yuan Mei, Jin Cui, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 11, pp. 11978-11991
Closed Access | Times Cited: 5
Innovative Financial Management in Higher Education: A Multi-Scale Deep Learning Approach for Risk Reduction and Quality Enhancement
Hongbin Yue
Deleted Journal (2024) Vol. 20, Iss. 7s, pp. 114-120
Open Access | Times Cited: 1
Semi-supervised adaptive anti-noise meta-learning for few-shot industrial gearbox fault diagnosis
Junwei Hu, Chao Xie
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116104-116104
Closed Access | Times Cited: 1
A Novel Remaining Useful Life Transfer Prediction Method of Rolling Bearings Based on Working Conditions Common Benchmark
Zhixuan Li, Kai Zhang, Yongzhi Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-9
Closed Access | Times Cited: 7
Remaining Useful Life Prediction of Milling Tool Based on Pyramid CNN
Ning Hu, Zhenguo Liu, Shixin Jiang, et al.
Shock and Vibration (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 3
Potentials of few-shot learning for quality monitoring in laser welding of hairpin windings
Tim Raffin, Andreas Mayr, Marcel Baader, et al.
Procedia CIRP (2023) Vol. 118, pp. 901-906
Open Access | Times Cited: 3
Feature learning for bearing prognostics: A comprehensive review of machine/deep learning methods, challenges, and opportunities
Ahmed Ayman, Ahmed Onsy, Omneya Attallah, et al.
Measurement (2024), pp. 116589-116589
Open Access
Reliability assessment based on time waveform characteristics with small sample: A practice inspired by few-shot learnings in metric space
Kejie Li, Lingyun Cheng, Zengwei Lyu, et al.
Applied Soft Computing (2021) Vol. 115, pp. 108148-108148
Closed Access | Times Cited: 4
Constructive Incremental Learning for Fault Diagnosis of Rolling Bearings with Ensemble Domain Adaptation
Jiang Liu, Lanhao Wang, Yan Qin, et al.
(2024)
Open Access

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