Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Pre-trained network-based transfer learning: A small-sample machine learning approach to nuclear power plant classification problem
Xianping Zhong, Heng Ban
Annals of Nuclear Energy (2022) Vol. 175, pp. 109201-109201
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

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
Fault Diagnosis Techniques for Nuclear Power Plants: A Review from the Artificial Intelligence Perspective
Ben Qi, Jingang Liang, Jiejuan Tong
Energies (2023) Vol. 16, Iss. 4, pp. 1850-1850
Open Access | Times Cited: 24
Fault diagnosis based on conditional generative adversarial networks in nuclear power plants
Gensheng Qian, Jingquan Liu
Annals of Nuclear Energy (2022) Vol. 176, pp. 109267-109267
Closed Access | Times Cited: 31
Imbalanced sample fault diagnosis method for rotating machinery in nuclear power plants based on deep convolutional conditional generative adversarial network
Zhichao Wang, Hong Xia, Jiyu Zhang, et al.
Nuclear Engineering and Technology (2023) Vol. 55, Iss. 6, pp. 2096-2106
Open Access | Times Cited: 21
Fault diagnosis based on gated recurrent unit network with attention mechanism and transfer learning under few samples in nuclear power plants
Gensheng Qian, Jingquan Liu
Progress in Nuclear Energy (2022) Vol. 155, pp. 104502-104502
Closed Access | Times Cited: 26
Development of a non-intrusive ROM for 5 × 5 rod bundles of PWR using small sample data
Hao Qian, Guangliang Chen, Dong Liu, et al.
Annals of Nuclear Energy (2025) Vol. 217, pp. 111347-111347
Closed Access
Research on key technologies for early warning-position-angle monitoring and diagnosis of nuclear-grade pipeline leaks
Guohua Wu, Jun Ling, Yuan Diping, et al.
Nuclear Engineering and Technology (2025), pp. 103583-103583
Open Access
Fault Diagnosis Using Imbalanced Data of Rolling Bearings Based on a Deep Migration Model
Haitao Wang, Xiheng Zhang
IEEE Access (2024) Vol. 12, pp. 5517-5533
Open Access | Times Cited: 4
Establishing operator trust in machine learning for enhanced reliability and safety in nuclear Power Plants
Merouane Najar, He Wang
Progress in Nuclear Energy (2024) Vol. 173, pp. 105280-105280
Closed Access | Times Cited: 4
A Review on Data-Driven Condition Monitoring of Industrial Equipment
Ruosen Qi, Jie Zhang, Katy Spencer
Algorithms (2022) Vol. 16, Iss. 1, pp. 9-9
Open Access | Times Cited: 18
A time-saving fault diagnosis using simplified fast GAN and triple-type data transfer learning
Hongyu Zhong, Samson S. Yu, Hieu Trinh, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 3
An improved generative adversarial network for fault diagnosis of rotating machine in nuclear power plant
Zhichao Wang, Hong Xia, Wenzhe Yin, et al.
Annals of Nuclear Energy (2022) Vol. 180, pp. 109434-109434
Closed Access | Times Cited: 14
Rapid identification of green tea varieties based on FT-NIR spectroscopy and LDA/QR
Jiabao WANG, Xiaohong Wu, Jun Zheng, et al.
Food Science and Technology (2022) Vol. 42
Open Access | Times Cited: 13
Research on inversion method for complex source-term distributions based on deep neural networks
Yi-Sheng Hao, Zhen Wu, Yanheng Pu, et al.
Nuclear Science and Techniques (2023) Vol. 34, Iss. 12
Closed Access | Times Cited: 5
Application of machine learning and computer vision methods to determine the size of NPP equipment elements in difficult measurement conditions
Dmytro Belytskyi, Ruslan Yermolenko, Kostiantyn Petrenko, et al.
Naukovij žurnal «Tehnìka ta energetika» (2023) Vol. 14, Iss. 4, pp. 42-53
Open Access | Times Cited: 5
An Intelligent Fault Diagnosis Method for Imbalanced Nuclear Power Plant Data Based on Generative Adversarial Networks
Yuntao Dai, Lizhang Peng, Zhaobo Juan, et al.
Journal of Electrical Engineering and Technology (2023) Vol. 18, Iss. 4, pp. 3237-3252
Closed Access | Times Cited: 4
Enhancing prediction accuracy for LOCA break sizes in nuclear power plants: A hybrid deep learning method with data augmentation and hyperparameter optimization
Gui Feng Zhou, Minjun Peng, Hang Wang
Annals of Nuclear Energy (2023) Vol. 196, pp. 110208-110208
Closed Access | Times Cited: 4
Direct Edge-to-Edge Local-Learning-Assisted Model-Based Transfer Learning
Zih-Syuan Huang, Ching-Hu Lu, I‐Shyan Hwang
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 11, pp. 20223-20235
Closed Access | Times Cited: 1
Self-improving few-shot fault diagnosis for nuclear power plant based on man-machine collaboration
Guolong Li, Yanjun Li, Site Li, et al.
Nuclear Engineering and Design (2024) Vol. 420, pp. 113051-113051
Closed Access | Times Cited: 1
Validation of the neural network for 3D photon radiation field reconstruction under various source distributions
Yisheng Hao, Zhen Wu, Pu Yanheng, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 2
Application of Machine Learning for Classification of Nuclear Reactor Operational Status Using Magnetic Field Sensors
Braden Burt, Brett J. Borghetti, Anthony L. Franz, et al.
Journal of Nuclear Engineering (2023) Vol. 4, Iss. 4, pp. 723-731
Open Access | Times Cited: 2
Research on a Cross-Domain Few-Shot Adaptive Classification Algorithm Based on Knowledge Distillation Technology
Jiuyang Gao, Siyu Li, Wenfeng Xia, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1939-1939
Open Access
A Robust Ensemble Learning Approach for Medical Image Segmentation with Transfer Learning
Ritu Shree, R. Kavitha, Shweta Singh
(2024), pp. 1-6
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
The Role of AI in Detecting and Mitigating Human Errors in Safety-Critical Industries: A Review
Ezgi Gursel, Mahboubeh Madadi, Jamie Coble, et al.
Reliability Engineering & System Safety (2024) Vol. 256, pp. 110682-110682
Closed Access
Page 1 - Next Page

Scroll to top