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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 variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition
Jiusi Zhang, Xiang Li, Jilun Tian, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108986-108986
Closed Access | Times Cited: 111

Showing 26-50 of 111 citing articles:

A Deep Parallel Spatiotemporal Network based on Feature Cross-fusion for Remaining Useful Life Prediction of Aero Engine
Chenchen Wu, Jialong He, Guofa Li, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-13
Closed Access
Artificial immunity-based energy theft detection for advanced metering infrastructures
Jie Fu, C.G. Yang, Yuxuan Liu, et al.
International Journal of Critical Infrastructure Protection (2025), pp. 100739-100739
Closed Access
Unbiased Isotonic Regression Tree for Discovering Hidden Heterogeneity in Monotonicity Constraints
Doowon Choi
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 818-818
Open Access
Retentive network-based time series anomaly detection in cyber-physical systems
Zhaoyi Min, Qianqian Xiao, Muhammad Abbas, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110215-110215
Closed 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
Overview of fault prognosis for traction systems in high-speed trains: A deep learning perspective
Kai Zhong, Jiayi Wang, Shuiqing Xu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106845-106845
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
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
Interpretable operational condition attention-informed domain adaptation network for remaining useful life prediction under variable operational conditions
Zihao Lei, Yu Su, Ke Feng, et al.
Control Engineering Practice (2024) Vol. 153, pp. 106080-106080
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
Quantitative evaluation of the connection status of an aeroengine rotor assembly interface with vibration energy flow and a gray level co-occurrence matrix
Chao Zhang, Yang Yang, Yaoyao Zhang, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112300-112300
Closed Access
Remaining useful life prediction for stratospheric airships based on a channel and temporal attention network
Yunhua Luo, Ming Zhu, Tian Chen, et al.
Communications in Nonlinear Science and Numerical Simulation (2025), pp. 108634-108634
Closed Access
Attention-based backdoor attacks against natural language processing models
Yunchun Zhang, Qi Wang, Shaohui Min, et al.
Applied Soft Computing (2025), pp. 112907-112907
Closed Access
Leveraging working-condition-related features for enhanced cross-domain remaining useful life prediction of aircraft engines
Zhiyao Zhang, Jia Cheng, Pengpeng Chen, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
Maximum Parallel Categories Approach for Determining the Optimal Number of Independent Components
Kaili He, E Jianwei, Jimin Ye
Circuits Systems and Signal Processing (2025)
Closed Access
Surrogate-assisted motion planning and layout design of robotic cellular manufacturing systems
Tomoya Kawabe, Tatsushi Nishi, Ziang Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110530-110530
Open Access
A Multi-Gradient Hierarchical Domain Adaptation Network for transfer diagnosis of bearing faults
Jun Chen, Hui Liu
Expert Systems with Applications (2023) Vol. 225, pp. 120139-120139
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
Robust Adaptive Rescaled Lncosh Neural Network Regression Toward Time-Series Forecasting
Yang Yang, Hu Zhou, Jinran Wu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 9, pp. 5658-5669
Closed Access | Times Cited: 10
Towards accident prevention on liquid hydrogen: A data-driven approach for releases prediction
Muhammad Gibran Alfarizi, Federico Ustolin, Jørn Vatn, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109276-109276
Open Access | Times Cited: 10
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
A novel local linear embedding algorithm via local mutual representation for bearing fault diagnosis
Yuanhong Liu, Baoxin Shi, Shixiang Lü, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110135-110135
Closed Access | Times Cited: 3
Capacity prediction of lithium-ion batteries based on ensemble empirical mode decomposition and hybrid machine learning
Kangping Gao, Jianjie Sun, Ziyi Huang, et al.
Ionics (2024) Vol. 30, Iss. 11, pp. 6915-6932
Closed Access | Times Cited: 3
Application of recurrent neural networks for modeling and control of a quadruple‐tank system
N. Rajasekhar, Krishnaraj Nagappan, T. K. Radhakrishnan, et al.
Advanced Control for Applications (2023) Vol. 6, Iss. 2
Closed Access | Times Cited: 8
A sequential decision problem formulation and deep reinforcement learning solution of the optimization of O&M of cyber-physical energy systems (CPESs) for reliable and safe power production and supply
Zhaojun Hao, Francesco Di Maio, Enrico Zio
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109231-109231
Open Access | Times Cited: 7

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