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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:

Transfer learning with limited labeled data for fault diagnosis in nuclear power plants
Jiangkuan Li, Meng Lin, Yankai Li, et al.
Nuclear Engineering and Design (2022) Vol. 390, pp. 111690-111690
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 32
Transfer learning network for nuclear power plant fault diagnosis with unlabeled data under varying operating conditions
Jiangkuan Li, Meng Lin, Yankai Li, et al.
Energy (2022) Vol. 254, pp. 124358-124358
Closed Access | Times Cited: 47
Transfer learning based fault diagnosis of automobile dry clutch system
Ganjikunta Chakrapani, V. Sugumaran
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105522-105522
Closed Access | Times Cited: 41
A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis
Qing Li
Expert Systems with Applications (2023) Vol. 229, pp. 120517-120517
Open Access | Times Cited: 30
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: 27
Cross-operating-condition fault diagnosis of a small module reactor based on CNN-LSTM transfer learning with limited data
Run Luo, Yadong Li, Huiyu Guo, et al.
Energy (2024), pp. 133901-133901
Closed Access | Times Cited: 12
SSPENet: Semi-supervised prototype enhancement network for rolling bearing fault diagnosis under limited labeled samples
Xuejian Yao, Xingchi Lu, Quan Jiang, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102560-102560
Closed Access | Times Cited: 11
Generalization analysis and improvement of CNN-based nuclear power plant fault diagnosis model under varying power levels
Meng Lin, Jiangkuan Li, Yankai Li, et al.
Energy (2023) Vol. 282, pp. 128905-128905
Closed Access | Times Cited: 20
Attention-based time series analysis for data-driven anomaly detection in nuclear power plants
Feiyan Dong, Shi Chen, Kazuyuki Demachi, et al.
Nuclear Engineering and Design (2023) Vol. 404, pp. 112161-112161
Closed Access | Times Cited: 19
Imbalanced data fault diagnosis method for nuclear power plants based on convolutional variational autoencoding Wasserstein generative adversarial network and random forest
Jun Guo, Yulong Wang, Sun Xiang, et al.
Nuclear Engineering and Technology (2024) Vol. 56, Iss. 12, pp. 5055-5067
Open Access | Times Cited: 7
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: 28
Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data
Jichao Zhuang, Jianhai Yan, Cheng‐Geng Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107539-107539
Closed Access | Times Cited: 14
A novel transfer CNN with spatiotemporal input for accurate nuclear power fault diagnosis under different operating conditions
Jie Liu, Xinyi Yang, Rafael Macián‐Juan, et al.
Annals of Nuclear Energy (2023) Vol. 194, pp. 110070-110070
Closed Access | Times Cited: 12
Fault Diagnosis of UAV Based on Adaptive Siamese Network With Limited Data
Pengwei Xiong, Li Zhi, Yunlong Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 11
Research on fault diagnosis and fault location of nuclear power plant equipment
Xueying Huang, Hong Xia, Wenzhe Yin, et al.
Annals of Nuclear Energy (2024) Vol. 205, pp. 110556-110556
Closed Access | Times Cited: 4
Cross-Domain Few-Shot Anomaly Detection for equipment in nuclear power plants
Junjie He, Sheng Zheng, Shuang Yi, et al.
Nuclear Engineering and Design (2025) Vol. 436, pp. 113956-113956
Closed Access
A review of data-driven fault diagnosis method for nuclear power plant
Zixiao Wang, Hongyang Wei, Ruifeng Tian, et al.
Progress in Nuclear Energy (2025) Vol. 186, pp. 105785-105785
Closed Access
Transformers and Long Short-Term Memory Transfer Learning for GenIV Reactor Temperature Time Series Forecasting
Stella Pantopoulou, A.C. Cilliers, Lefteri H. Tsoukalas, et al.
Energies (2025) Vol. 18, Iss. 9, pp. 2286-2286
Open Access
Data augmentation-based fault diagnosis framework for nuclear power plants with robust anti-data interference capability
Jiangkuan Li, Shu-xin Zheng, Jiaoshen Xu, et al.
Annals of Nuclear Energy (2025) Vol. 220, pp. 111513-111513
Closed Access
A Fault Diagnosis Framework for Pressurized Water Reactor Nuclear Power Plants Based on an Improved Deep Subdomain Adaptation Network
Zhaohui Liu, Eric Hu, Hua Liu
Energies (2025) Vol. 18, Iss. 9, pp. 2334-2334
Open Access
Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization
Dengming Zhang, Kai Zheng, Yin Bai, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 11, pp. 115024-115024
Closed Access | Times Cited: 18
Open set compound fault recognition method for nuclear power plant based on label mask weighted prototype learning
Shiqi Zhou, Meng Lin, Shilong Huang, et al.
Applied Energy (2024) Vol. 369, pp. 123603-123603
Closed Access | Times Cited: 3
Unsupervised clustering research of nuclear power plants under unlabeled unknown fault diagnosis scenario
Shiqi Zhou, Meng Lin, He Zhang, et al.
Energy (2025) Vol. 326, pp. 136357-136357
Closed Access
Probabilistic monitoring of nuclear plants using R-vine copula
Md. Tanjin Amin, Yuantao Yao, Jie Yu, et al.
Annals of Nuclear Energy (2023) Vol. 190, pp. 109867-109867
Closed Access | Times Cited: 8
Similar or Unknown Fault Mode Detection of Aircraft Fuel Pump Using Transfer Learning With Subdomain Adaption
Zhen Liu, Xiaojun Zhang, Jun Pan, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 7
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