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:

Physics-Guided Generative Adversarial Networks for fault detection of underwater thruster
Shuang Gao, Jixin Liu, Zhiyao Zhang, et al.
Ocean Engineering (2023) Vol. 286, pp. 115585-115585
Closed Access | Times Cited: 17

Showing 17 citing articles:

Modeling of temperature characteristics of lithium-ion batteries considering the state dependency and its robust estimation of internal temperature
Xiaoyong Zeng, Laien Chen, Xiangyang Xia, et al.
Journal of Power Sources (2025) Vol. 633, pp. 236432-236432
Closed Access | Times Cited: 1
Cross-size underwater propeller fault diagnosis via domain adversarial training with spectral attention and multi-task learning
Ze Yu, Wenfeng Zhao, Shuang Gao, et al.
Ocean Engineering (2025) Vol. 323, pp. 120604-120604
Closed Access | Times Cited: 1
IPORF: A combined improved parrot optimizer algorithm and random forest for fault diagnosis in AUV
Kangzheng Huang, Wei Bo Li, Fang Hualiang, et al.
Ocean Engineering (2024) Vol. 313, pp. 119665-119665
Closed Access | Times Cited: 7
Physical model embedding-based generative adversarial networks for unsupervised fault detection of underwater thrusters
Shuang Gao, Ze Yu, Zhiyao Zhang, et al.
Ocean Engineering (2024) Vol. 298, pp. 117190-117190
Closed Access | Times Cited: 5
A novel Bayesian deep learning method for fast wake field prediction of the DARPA SUBOFF
Xinyu Xie, Pu Zhao, C.B. Bian, et al.
Applied Ocean Research (2024) Vol. 150, pp. 104074-104074
Closed Access | Times Cited: 4
Research on Cross-Domain Generative Diagnosis for Oil and Gas Pipeline Defect Based on Limited Field Data
Junming Yao, Wei Liang, Zhongmin Xiao
Energy (2025), pp. 135086-135086
Closed Access
Semi-supervised fault diagnosis framework for underwater propeller based on speed disentanglement strategy
Ze Yu, Wenfeng Zhao, Weijun Xu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 232, pp. 112693-112693
Closed Access
Data and Model Combined Unsupervised Fault Detection and Assessment Framework for Underwater Thruster
Shuang Gao, Chen Feng, Bingsen Wang, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 6, pp. 8229-8238
Closed Access | Times Cited: 3
Unsupervised fault diagnosis framework for underwater thruster system using estimated torques and multi-head convolutional autoencoder
Shuang Gao, Chen Feng, Xin Zhang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110814-110814
Closed Access | Times Cited: 7
Adaptive-conditional loss and correction module enhanced informer network for long-tailed fault diagnosis of motor
Mei Huang, Chenxing Sheng
Journal of Computational Design and Engineering (2024) Vol. 11, Iss. 4, pp. 306-318
Open Access | Times Cited: 2
Conditional Variational Autoencoder and generative adversarial network-based approach for long-tailed fault diagnosis for the motor system
Mei Huang, Chenxing Sheng, Xiang Rao
Measurement (2024) Vol. 242, pp. 116116-116116
Closed Access | Times Cited: 2
Attention mechanism‐based multisensor data fusion neural network for fault diagnosis of autonomous underwater vehicles
Huaitao Shi, Zelong Song, Xiaotian Bai, et al.
Journal of Field Robotics (2023)
Closed Access | Times Cited: 5
CFD simulation and experimental validation of novel cutting device for underwater propeller entanglements
Jixin Liu, Xinxin Wei, Ping Qin, et al.
Ocean Engineering (2024) Vol. 309, pp. 118400-118400
Open Access | Times Cited: 1
Few-shot fault diagnosis of underwater thrusters based on semi-supervised prototypical network with SimAM attention and auxiliary classifier
Yunsai Chen, Boyuan Huang, Zengkai Liu, et al.
Ocean Engineering (2024) Vol. 312, pp. 119216-119216
Closed Access | Times Cited: 1
Gradient-Enhanced Physics-Informed Long Short-Term Memory Network for Stable and Accurate Rul Prediction
Chenyang Lai, Piero Baraldi, Giovanni Floreale, et al.
(2024)
Closed Access
An Equipment Anomaly Diagnosis Method Based on Deep Learning
Mingshu Ren, Qiong Jiang, Chengyi Zhou, et al.
Journal of Circuits Systems and Computers (2024)
Closed Access
Hybrid fault diagnosis method for underwater thrusters based on the common features of multi-source signals
Shuang Gao, Ying Wang, Zhiyao Zhang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111740-111740
Closed Access
Page 1

Scroll to top