Xuyun Fu

2.2k total citations · 1 hit paper
35 papers, 1.6k citations indexed

About

Xuyun Fu is a scholar working on Control and Systems Engineering, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Xuyun Fu has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Control and Systems Engineering, 11 papers in Artificial Intelligence and 6 papers in Automotive Engineering. Recurrent topics in Xuyun Fu's work include Machine Fault Diagnosis Techniques (18 papers), Fault Detection and Control Systems (14 papers) and Anomaly Detection Techniques and Applications (9 papers). Xuyun Fu is often cited by papers focused on Machine Fault Diagnosis Techniques (18 papers), Fault Detection and Control Systems (14 papers) and Anomaly Detection Techniques and Applications (9 papers). Xuyun Fu collaborates with scholars based in China and United States. Xuyun Fu's co-authors include Shisheng Zhong, Minghang Zhao, Baoping Tang, Michael Pecht, Lin Lin, Shaojiang Dong, Dan Liu, Linghui Meng, Lin Lin and Hui Luo and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and Sensors.

In The Last Decade

Xuyun Fu

34 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Residual Shrinkage Networks for Fault Diagnosis

2019 994 citations Minghang Zhao, Shisheng Zhong et al. IEEE Transactions on Industrial Informatics profile →

Peers

Countries citing papers authored by Xuyun Fu

Since Specialization

Citations

This map shows the geographic impact of Xuyun Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xuyun Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuyun Fu more than expected).

Fields of papers citing papers by Xuyun Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuyun Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xuyun Fu. The network helps show where Xuyun Fu may publish in the future.

Co-authorship network of co-authors of Xuyun Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Xuyun Fu. A scholar is included among the top collaborators of Xuyun Fu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xuyun Fu. Xuyun Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Thermodynamic simulation-assisted random forest: Towards explainable fault diagnosis of combustion chamber components of marine diesel engines 2025 ·Measurement ·(unknown), Minghang Zhao, Xuyun Fu, (unknown), Song Fu, Kai Zhang, Xiaoxia Yu	3
2	Continual contrastive reinforcement learning: Towards stronger agent for environment-aware fault diagnosis of aero-engines through long-term optimization under highly imbalance scenarios 2025 ·Advanced Engineering Informatics ·Haoze Wu, Shisheng Zhong, Minghang Zhao, Xuyun Fu, (unknown), Song Fu	2
3	FFD-Clustering: An unsupervised anomaly detection method for aero-engines based on fuzzy fusion of variables and discriminative mapping of features 2024 ·Chinese Journal of Aeronautics ·Zhe Wang, Xuyun Fu, Minghang Zhao, (unknown), Shisheng Zhong	1
4	FC-YOLO: an aircraft skin defect detection algorithm based on multi-scale collaborative feature fusion 2024 ·Measurement Science and Technology ·Wei Zhang, Jiyuan Liu, (unknown), Minghang Zhao, Xuyun Fu, Hengjia Zhu	8
5	The Construction of an Aircraft Loss of Control Risk Indicator Monitoring System During the Takeoff Phase Based on QAR Data 2024 ·(unknown), (unknown), (unknown), Xuyun Fu	0
6	A multi-agent convolution deep reinforcement learning network for aeroengine fleet maintenance strategy optimization 2023 ·Journal of Manufacturing Systems ·(unknown), Xuyun Fu, Shisheng Zhong, Zhen Li, Song Fu, Zhengfeng Bai, (unknown)	11
7	Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines 2023 ·Computers in Industry ·Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, (unknown)	39
8	CSiamese: a novel semi-supervised anomaly detection framework for gas turbines via reconstruction similarity 2023 ·Neural Computing and Applications ·Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, (unknown)	3
9	Long-Term Maintenance Plan for the Aero-Engine Fleet Under Uncertain Conditions 2023 ·(unknown), Yanchao Wang, Zhengfeng Bai, Xuyun Fu	1
10	Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines 2023 ·Expert Systems with Applications ·Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, Xuyun Fu, (unknown)	37
11	Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks 2022 ·Advanced Engineering Informatics ·Minghang Zhao, Xuyun Fu, (unknown), Linghui Meng, Baoping Tang	67
12	CAE‐WANN: A novel anomaly detection method for gas turbines via search space extension 2022 ·Quality and Reliability Engineering International ·Shisheng Zhong, (unknown), Lin Lin, Minghang Zhao, Xuyun Fu, Feng Guo	9
13	Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network 2022 ·Advanced Engineering Informatics ·Dan Liu, (unknown), Lin Lin, Minghang Zhao, Xuyun Fu, (unknown)	67
14	Aero-engine Performance Evaluation Based on Gas Path Parameters and Operating Characteristics 2022 ·Wei Jiang, Xuyun Fu, (unknown), Shisheng Zhong, (unknown), Zhengfeng Bai	1
15	Gravity particle swarm optimization algorithm for solving shop visit balancing problem for repairable equipment 2022 ·Engineering Applications of Artificial Intelligence ·(unknown), Xuyun Fu, Shisheng Zhong, Zhengfeng Bai, (unknown)	10
16	A Novel Label Correction Method for Remaining Useful Life Prediction of Turbofan Engines 2021 ·Xuyun Fu, (unknown), Shisheng Zhong, Lin Lin, Song Fu, Dan Liu, Zhiquan Cui	2
17	Data Augmentation via Randomized Wavelet Expansion and Its Application in Few-Shot Fault Diagnosis of Aviation Hydraulic Pumps 2021 ·IEEE Transactions on Instrumentation and Measurement ·Minghang Zhao, Xuyun Fu, (unknown), Linghui Meng, Shisheng Zhong	31
18	A Novel Performance Prediction Method for Gas Turbines Using the Prophet Model 2021 ·Dan Liu, Shisheng Zhong, Lin Lin, Minghang Zhao, (unknown), Xuyun Fu, Zhiquan Cui	3
19	Deep Residual Shrinkage Networks for Fault Diagnosis breakdown → 2019 ·IEEE Transactions on Industrial Informatics ·Minghang Zhao, Shisheng Zhong, Xuyun Fu, Baoping Tang, Michael Pecht	994
20	Pattern Mining of Aero-Engine Performance Degradation Based on EMD and KNN-FSFDP 2017 ·Xuyun Fu, Guangyao Zhang, Yapeng Tian, Shisheng Zhong	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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