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:

Development of deep reinforcement learning-based fault diagnosis method for rotating machinery in nuclear power plants
Gensheng Qian, Jingquan Liu
Progress in Nuclear Energy (2022) Vol. 152, pp. 104401-104401
Closed Access | Times Cited: 40

Showing 26-50 of 40 citing articles:

A safe reinforcement learning algorithm for supervisory control of power plants
Yixuan Sun, Sami Khairy, Richard Vilim, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112312-112312
Open Access | Times Cited: 1

Bayesian optimized deep Q-network for diagnosing mine ventilation systems windage alteration fault targeting imbalanced data
Yuguo Li, Qichao Zhou, Jian Liu, et al.
Process Safety and Environmental Protection (2024) Vol. 191, pp. 2543-2558
Closed Access | Times Cited: 1

An Uncertainty-Incorporated Active Data Diffusion Learning Framework for Few-Shot Equipment RUL Prediction
Chao Zhang, Daqing Gong, Gang Xue
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110632-110632
Closed Access | Times Cited: 1

A novel meta fusion detective twin network approach for dynamic degradation process in rotating Machinery
Li Zou, Huai Chen, Jun Hu, et al.
Expert Systems with Applications (2024), pp. 126358-126358
Closed Access | Times Cited: 1

A reinforcement learning-based transformed inverse model strategy for nonlinear process control
Debaprasad Dutta, Simant R. Upreti
Computers & Chemical Engineering (2023) Vol. 178, pp. 108386-108386
Closed Access | Times Cited: 2

Flexible operation and maintenance optimization of aging cyber-physical energy systems by deep reinforcement learning
Zhaojun Hao, Francesco Di Maio, Enrico Zio
Nuclear Engineering and Technology (2023) Vol. 56, Iss. 4, pp. 1472-1479
Open Access | Times Cited: 2

Fault Diagnosis in Reactor Coolant Pump with an Automatic Cnn-Based Mixed Model
Jianping Zhang, Jingyu Liang, Jie Liu
(2024)
Closed Access

Reinforcement Learning for Rolling Bearing Fault Diagnosis—A Comprehensive Review
Pratik Jadhav, V. A. Sairam, Abhyuday Singh, et al.
Journal Européen des Systèmes Automatisés (2024) Vol. 57, Iss. 4, pp. 1185-1193
Open Access

Applications of deep reinforcement learning in nuclear energy: A review
Yong‐Chao Liu, Bo Wang, Sichao Tan, et al.
Nuclear Engineering and Design (2024) Vol. 429, pp. 113655-113655
Closed Access

Machine Learning for Industrial Process Monitoring
Lidia Auret
Elsevier eBooks (2024)
Closed Access

Open-set recognition based on the combination of deep learning and hypothesis testing for detecting unknown nuclear faults
Wei Pan, Jihong Shen, Wei Wang, et al.
Nuclear Engineering and Design (2024) Vol. 429, pp. 113654-113654
Closed Access

Diagnostics and Prognostics in Power Plants: A systematic review
Wei Cheng, Hassaan Ahmad, Lin Gao, et al.
Reliability Engineering & System Safety (2024), pp. 110663-110663
Closed Access

An Improved Algorithm of Module Data Reconciliation for Nuclear Power Plant System
Tianyang Xing, Mudi Jiang, Junlin Huang, et al.
(2023)
Closed Access | Times Cited: 1

Gray relation weighted wavelet neural network integrated model and its application in rotating machinery fault diagnosis
Xiaohui Jia, Xinping Xiao, Jianghui Wen
The International Journal of Advanced Manufacturing Technology (2023)
Closed Access | Times Cited: 1



(2023) Vol. 14, Iss. 4
Open Access

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