Song Fu

1.0k total citations · 2 hit papers
36 papers, 759 citations indexed

About

Song Fu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Song Fu has authored 36 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 12 papers in Mechanical Engineering and 11 papers in Mechanics of Materials. Recurrent topics in Song Fu's work include Machine Fault Diagnosis Techniques (18 papers), Fault Detection and Control Systems (9 papers) and Engineering Diagnostics and Reliability (8 papers). Song Fu is often cited by papers focused on Machine Fault Diagnosis Techniques (18 papers), Fault Detection and Control Systems (9 papers) and Engineering Diagnostics and Reliability (8 papers). Song Fu collaborates with scholars based in China, United Kingdom and Japan. Song Fu's co-authors include Shisheng Zhong, Lin Lin, Lin Lin, Minghang Zhao, Feng Guo, Jin‐Lei Wu, Yue Wang, Xuyun Fu, Guang Yang and Yue Wang and has published in prestigious journals such as The Science of The Total Environment, Journal of Power Sources and Expert Systems with Applications.

In The Last Decade

Song Fu

34 papers receiving 736 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.

A novel gas turbine fault diagnosis method based on transfer learning with CNN

2019 222 citations Shisheng Zhong, Song Fu et al. Measurement profile →
Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines

2024 74 citations Lin Lin, Jin‐Lei Wu et al. Advanced Engineering Informatics profile →

Peers

Countries citing papers authored by Song Fu

Since Specialization

Citations

This map shows the geographic impact of Song 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 Song Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Fu more than expected).

Fields of papers citing papers by Song Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Song 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 Song Fu. The network helps show where Song Fu may publish in the future.

Co-authorship network of co-authors of Song Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Song Fu. A scholar is included among the top collaborators of Song 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 Song Fu. Song 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	Deep transfer learning enabled online state-of-health estimation of lithium-ion batteries under small samples across different cathode materials, ambient temperature and charge-discharge protocols 2025 ·Journal of Power Sources ·(unknown), Minghang Zhao, Shisheng Zhong, Junfu Li, Zhiquan Cui, Song Fu, (unknown)	3
2	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
3	Improving prediction of N2O emissions during composting using model-agnostic meta-learning 2024 ·The Science of The Total Environment ·Shuai Shi, Jiaxin Bao, (unknown), Yue Han, Yonghui Xu, Ugochi Uzoamaka Egbeagu, Liyan Zhao, (unknown), Lei Sun, (unknown), Wanying Liu, (unknown), Jining Zhang, Yu Sun, Xiuhong Xu, Song Fu	9
4	A prediction of crack propagation on aircraft wing via AK-TCN 2024 ·Engineering Failure Analysis ·Lin Lin, (unknown), Song Fu, (unknown), (unknown), (unknown)	6
5	BMSFormer: An efficient deep learning model for online state-of-health estimation of lithium-ion batteries under high-frequency early SOC data with strong correlated single health indicator 2024 ·Energy ·(unknown), Minghang Zhao, Shisheng Zhong, Junfu Li, Song Fu, (unknown)	5
6	PathEL: A novel collective entity linking method based on relationship paths in heterogeneous information networks 2024 ·Information Systems ·(unknown), Lin Lin, Song Fu, Jie Liu, (unknown), (unknown), Jin‐Lei Wu, (unknown)	0
7	Prototype matching-based meta-learning model for few-shot fault diagnosis of mechanical system 2024 ·Neurocomputing ·Lin Lin, (unknown), Song Fu, Yikun Liu, (unknown), (unknown)	14
8	High imbalance fault diagnosis of aviation hydraulic pump based on data augmentation via local wavelet similarity fusion 2024 ·Mechanical Systems and Signal Processing ·Song Fu, Lin Lin, Yue Wang, Minghang Zhao, Feng Guo, Shisheng Zhong, (unknown)	29
9	DCSN: Focusing on hard samples mining in small-sample fault diagnosis of marine engine 2024 ·Measurement ·(unknown), Minghang Zhao, (unknown), Song Fu, (unknown)	3
10	Remaining useful life prediction of mechanical equipment based on time-series auto-correlation decomposition and CNN 2024 ·Measurement Science and Technology ·(unknown), Song Fu, Shisheng Zhong, Lin Lin, (unknown), (unknown), Feng Guo	6
11	DCSIAN: A novel deep cross-scale interactive attention network for fault diagnosis of aviation hydraulic pumps and generalizable applications 2024 ·Reliability Engineering & System Safety ·Song Fu, Limin Zou, (unknown), Lin Lin, Yifan Lu, Minghang Zhao, Feng Guo, (unknown)	12
12	Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines breakdown → 2024 ·Advanced Engineering Informatics ·Lin Lin, Jin‐Lei Wu, Song Fu, (unknown), (unknown), (unknown)	74
13	Multiscale dynamically parallel shrinkage network for fault diagnosis of aviation hydraulic pump and its generalizable applications 2024 ·ISA Transactions ·Song Fu, Lin Lin, Yue Wang, Minghang Zhao, Feng Guo, (unknown), (unknown)	4
14	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
15	SRSCL: A strong-relatedness-sequence-based fine-grained collective entity linking method for heterogeneous information networks 2023 ·Expert Systems with Applications ·(unknown), Lin Lin, Jie Liu, Song Fu, (unknown), (unknown)	5
16	A novel method for aeroengine performance model reconstruction based on CDAE model 2023 ·Advanced Engineering Informatics ·Lin Lin, (unknown), Feng Guo, Song Fu, (unknown), (unknown)	5
17	T-spline based isogeometric solid element with locally varying mesh in nonlinear dynamics 2023 ·Acta Mechanica Sinica ·Yue Wang, Lan Peng, (unknown), Zuqing Yu, Song Fu	0
18	A Self-Attention Integrated Learning Model for Landing Gear Performance Prediction 2023 ·Sensors ·Lin Lin, (unknown), Feng Guo, Song Fu, (unknown), (unknown)	3
19	Novel aeroengine fault diagnosis method based on feature amplification 2023 ·Engineering Applications of Artificial Intelligence ·Lin Lin, (unknown), Song Fu, (unknown), (unknown)	12
20	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

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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