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 health condition assessment and prediction method of Francis turbine units using heterogeneous signal fusion and graph-driven health benchmark model
Fengyuan Zhang, Jie Liu, Yuxin Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106974-106974
Closed Access | Times Cited: 13
Fengyuan Zhang, Jie Liu, Yuxin Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106974-106974
Closed Access | Times Cited: 13
Showing 13 citing articles:
Heterogeneous graph contrastive learning-based transductive health condition assessment of Francis turbine unit
Fengyuan Zhang, Jie Liu, Yujie Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110240-110240
Closed Access | Times Cited: 1
Fengyuan Zhang, Jie Liu, Yujie Liu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110240-110240
Closed Access | Times Cited: 1
Data-model-interactive enhancement-based Francis turbine unit health condition assessment using graph driven health benchmark model
Fengyuan Zhang, Jie Liu, Yujie Liu, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123724-123724
Closed Access | Times Cited: 6
Fengyuan Zhang, Jie Liu, Yujie Liu, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123724-123724
Closed Access | Times Cited: 6
A multi-level digital twin construction method of assembly line based on hybrid worker digital twin models
Xi Zhang, Ye Yang, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102597-102597
Closed Access | Times Cited: 5
Xi Zhang, Ye Yang, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102597-102597
Closed Access | Times Cited: 5
Machine learning-driven high-fidelity ensemble surrogate modeling of Francis turbine unit based on data-model interactive simulation
Jian Wang, Jie Liu, Yanglong Lu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108385-108385
Closed Access | Times Cited: 4
Jian Wang, Jie Liu, Yanglong Lu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108385-108385
Closed Access | Times Cited: 4
Intelligent Recognition for Operation States of Hydroelectric Generating Units Based on Data Fusion and Visualization Analysis
Yongfei Wang, Yu Liu, Xiaofei Li, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
Yongfei Wang, Yu Liu, Xiaofei Li, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
In-situ tool wear condition monitoring during the end milling process based on dynamic mode and abnormal evaluation
Min Chen, Jianwei Mao, Yu Fu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Min Chen, Jianwei Mao, Yu Fu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Analysis of hydropower plant guide bearing vibrations by machine learning based identification of steady operations
Xiao Lang, Håkan Nilsson, Wengang Mao
Renewable Energy (2024), pp. 121463-121463
Open Access | Times Cited: 3
Xiao Lang, Håkan Nilsson, Wengang Mao
Renewable Energy (2024), pp. 121463-121463
Open Access | Times Cited: 3
Abnormal-Sound Diagnosis for Kaplan Hydroelectric Generating Units Based on Continuous Wavelet Transform and Transfer Learning
Yu Liu, Zhuofei Xu, Pengcheng Guo, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7441-7441
Open Access | Times Cited: 1
Yu Liu, Zhuofei Xu, Pengcheng Guo, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7441-7441
Open Access | Times Cited: 1
Condition monitoring for nuclear turbines with improved dynamic partial least squares and local information increment
Yixiong Feng, Zetian Zhao, Bingtao Hu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107493-107493
Closed Access | Times Cited: 2
Yixiong Feng, Zetian Zhao, Bingtao Hu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107493-107493
Closed Access | Times Cited: 2
Graph Feature Fusion-Driven Fault Diagnosis of Complex Process Industrial System Based on Multivariate Heterogeneous Data
Fengyuan Zhang, Jie Liu, Xiang Lu, et al.
Shock and Vibration (2024) Vol. 2024, pp. 1-15
Open Access
Fengyuan Zhang, Jie Liu, Xiang Lu, et al.
Shock and Vibration (2024) Vol. 2024, pp. 1-15
Open Access
A Fault Diagnosis Approach for Flange Stabilizer Based on Multi-Signal Fusion
Fan Chen, Haotian Wei, Yong Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116136-116136
Closed Access
Fan Chen, Haotian Wei, Yong Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116136-116136
Closed Access
Health status assessment of pump station units based on spatio-temporal fusion and uncertainty information
Panpan Qiu, Jianzhuo Yan, Hongxia Xu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Panpan Qiu, Jianzhuo Yan, Hongxia Xu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Enhanced Prediction of Rate of Penetration Using the Interpretable Hybrid Temporal Graph Neural Network
Rui Zhang, Zhaopeng Zhu, Xianzhi Song, et al.
(2024)
Closed Access
Rui Zhang, Zhaopeng Zhu, Xianzhi Song, et al.
(2024)
Closed Access
