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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 concise self-adapting deep learning network for machine remaining useful life prediction
Sheng Xiang, Yi Qin, Jun Luo, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110187-110187
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
Venkat Pavan Nemani, Luca Biggio, Xun Huan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110796-110796
Open Access | Times Cited: 75
Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings
Jinxin Wu, Deqiang He, Jiayi Li, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110143-110143
Closed Access | Times Cited: 29
A novel method for remaining useful life of solid-state lithium-ion battery based on improved CNN and health indicators derivation
Yan Ma, Zhenxi Wang, Jinwu Gao, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111646-111646
Closed Access | Times Cited: 14
Non-Temporal Neural Networks for Predicting Degradation Trends of Key Wind-Turbine Gearbox Components
Xiaoxia Yu, Zhigang Zhang, Baoping Tang, et al.
Renewable Energy (2025), pp. 122438-122438
Closed Access
A novel cross-scenario transferable RUL prediction network with multisource domain meta transfer learning for wind turbine bearings
Lixiao Cao, Xue‐Ping Wang, Hongyu Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-9
Closed Access
A review of prognostics and health management techniques in wind energy
Jokin Cuesta, Urko Leturiondo, Yolanda Vidal, et al.
Reliability Engineering & System Safety (2025), pp. 111004-111004
Closed Access
Tribological Properties Assessment of Metallic Glasses Through a Genetic Algorithm-Optimized Machine Learning Model
Untung Rahardja, Arif Sarı, Ali Alsalamy, et al.
Metals and Materials International (2023) Vol. 30, Iss. 3, pp. 745-755
Closed Access | Times Cited: 13
Intelligent Maintenance Framework for Reconfigurable Manufacturing With Deep-Learning-Based Prognostics
Tangbin Xia, Yimin Jiang, Yutong Ding, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22853-22868
Closed Access | Times Cited: 4
Nonlinear Slow-varying Dynamics-assisted Temporal Graph Transformer Network for Remaining Useful Life Prediction
Zhan Gao, Weixiong Jiang, Jun Wu, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110162-110162
Closed Access | Times Cited: 4
Entropy-based domain adaption strategy for predicting remaining useful life of rolling element bearing
Anil Kumar, Chander Parkash, Yuqing Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108575-108575
Closed Access | Times Cited: 4
Remaining useful life prediction across operating conditions based on deep subdomain adaptation network considering the weighted multi-source domain
Chenchen Wu, Jialong He, Wanghao Shen, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112291-112291
Closed Access | Times Cited: 4
Knowledge embedded spatial-temporal graph convolutional networks for remaining useful life prediction
Xiao Cai, Dingcheng Zhang, Liangya Pi Liangya Pi, et al.
Reliability Engineering & System Safety (2025), pp. 110928-110928
Closed Access
A survey on graph neural networks for remaining useful life prediction: Methodologies, evaluation and future trends
Yucheng Wang, Min Wu, Dongwei Li, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112449-112449
Closed Access
Health assessment and health trend prediction of wind turbine bearing based on BO-BiLSTM model
Zhenen Li, Yujie Xue
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Log-Cumulative feature alignment for enhanced Prognosis of Aero-Engine remaining Useful life
Yang Ge, Xingxing Jiang, Benlian Xu, et al.
Expert Systems with Applications (2025), pp. 127277-127277
Closed Access
A customized dual-transformer framework for remaining useful life prediction of mechanical systems with degraded state
Zhan Gao, Weixiong Jiang, Jun Wu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112611-112611
Closed Access
Intelligent Diagnostics of Radial Internal Clearance in Ball Bearings with Machine Learning Methods
Bartłomiej Ambrożkiewicz, Arkadiusz Syta, Anthimos Georgiadis, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 5875-5875
Open Access | Times Cited: 12
Advancing aircraft engine RUL predictions: an interpretable integrated approach of feature engineering and aggregated feature importance
Yazan Alomari, Mátyás Andó, Márcia Baptista
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 11
Advancements in Bearing Remaining Useful Life Prediction Methods: A Comprehensive Review
Liuyang Song, Tianjiao Lin, Jin Ye, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092003-092003
Closed Access | Times Cited: 1
Edge Computing and Fault Diagnosis of Rotating Machinery Based on MobileNet in Wireless Sensor Networks for Mechanical Vibration
Yi Huang, Shuang Liang, Tingqiong Cui, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5156-5156
Open Access | Times Cited: 1
A fast prediction method of fatigue life for crane structure based on Stacking ensemble learning model
Zhao Jin-cheng, Qing Dong, Gening Xu, et al.
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Open Access | Times Cited: 1
Assessment of Nano-Imprinting Process in CuZr Amorphous Films Through Combination of Machine Learning and Molecular Dynamics
Biju Theruvil Sayed, Mahmoud M. Al-Sakhnini, Asaad.A.H Alzubaidi, et al.
Journal of Electronic Materials (2023) Vol. 52, Iss. 10, pp. 6943-6958
Closed Access | Times Cited: 3
A Novel Method for Multistage Degradation Predicting the Remaining Useful Life of Wind Turbine Generator Bearings Based on Domain Adaptation
Miao Tian, Xiaoming Su, Changzheng Chen, et al.
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12332-12332
Open Access | Times Cited: 3
Research on Aero-Engine Health Monitoring Method Based on Interpretable Deep Neural Networks
Cheng Chen, Qiangang Zheng, Siyuan Hu, et al.
(2024)
Closed Access
Improved RUL prediction method of wind turbine gearbox bearings under strong noises
Sheng Xiang, Penghua Li, Jie Hou, et al.
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) (2024), pp. 693-697
Closed Access
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