Qiuyu Song
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- Machine Fault Diagnosis Techniques 17
- Fault Detection and Control Systems 8
- Mechanics of Materials top 10%
- Engineering Diagnostics and Reliability 7
- Mechanical Engineering top 10%
- Gear and Bearing Dynamics Analysis 8
- Non-Destructive Testing Techniques 2
- Structural Integrity and Reliability Analysis 1
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- Machine Learning and ELM 2
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- Structural Health Monitoring Techniques 2
- Co-authors
- Xingxing JiangZhongkui ZhuGuifu DuJianfeng GuoJie LiuChangqing ShenQian WangWeiguo Huang
- Journals
- Expert Systems with Applications (1 paper)Mechanical Systems and Signal Processing (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- China
In The Last Decade
Qiuyu Song
19 papers receiving 471 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Control and Systems Engineering 396
- Mechanics of Materials 141
- Mechanical Engineering 208
- Computational Mathematics 2
- Artificial Intelligence 78
Countries citing papers authored by Qiuyu Song
This map shows the geographic impact of Qiuyu Song'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 Qiuyu Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiuyu Song more than expected).
Fields of papers citing papers by Qiuyu Song
This network shows the impact of papers produced by Qiuyu Song. 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 Qiuyu Song. The network helps show where Qiuyu Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qiuyu Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 32 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 16 | |
| 12 | Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosisbreakdown → | 2023 | 96 |
| 13 | 2023 | 3 | |
| 14 | 2023 | 66 | |
| 15 | Central frequency mode decomposition and its applications to the fault diagnosis of rotating machinesbreakdown → | 2022 | 109 |
| 16 | 2022 | 48 | |
| 17 | 2022 | 53 | |
| 18 | 2022 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2020 | 3 |
About Qiuyu Song
Qiuyu Song is a scholar working on Control and Systems Engineering, Mechanics of Materials and Mechanical Engineering, having authored 20 papers that have together received 480 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (17 papers), Fault Detection and Control Systems (8 papers), Gear and Bearing Dynamics Analysis (8 papers), Engineering Diagnostics and Reliability (7 papers), Structural Health Monitoring Techniques (2 papers), Machine Learning and ELM (2 papers), Non-Destructive Testing Techniques (2 papers) and Structural Integrity and Reliability Analysis (1 paper). The work is most often cited by research in Control and Systems Engineering (396 citations), Mechanics of Materials (141 citations) and Mechanical Engineering (208 citations). Qiuyu Song has collaborated with scholars based in China. Frequent co-authors include Xingxing Jiang, Zhongkui Zhu, Guifu Du, Jianfeng Guo, Zhongkui Zhu, Jie Liu, Changqing Shen, Qian Wang, Weiguo Huang and Xuegang Li. Their work appears in journals such as Expert Systems with Applications, Mechanical Systems and Signal Processing and IEEE Transactions on Neural Networks and Learning Systems.
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.