Yue Song
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- Advanced Combustion Engine Technologies 7
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- Fault Detection and Control Systems 3
- Stability and Control of Uncertain Systems 3
- Automotive Engineering top 10%
- Vehicle emissions and performance 3
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- Anomaly Detection Techniques and Applications 5
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- Advanced Aircraft Design and Technologies 4
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- Time Series Analysis and Forecasting 3
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- Turbomachinery Performance and Optimization 3
- Co-authors
- Jinsong YuDiyin TangJing DaiYu ZhouShuiting DingXin LiXueyu LiYajing Li
- Cited by
- Industrial and Manufacturing EngineeringFluid Flow and Transfer ProcessesControl and Systems Engineering
- Journals
- Renewable and Sustainable Energy Reviews (1 paper)Scientific Reports (1 paper)Environmental Pollution (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Yue Song
34 papers receiving 595 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Industrial and Manufacturing Engineering 119
- Fluid Flow and Transfer Processes 61
- Control and Systems Engineering 159
- Medical Laboratory Technology 8
- Automotive Engineering 58
Countries citing papers authored by Yue Song
This map shows the geographic impact of Yue 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 Yue Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yue Song more than expected).
Fields of papers citing papers by Yue Song
This network shows the impact of papers produced by Yue 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 Yue Song. The network helps show where Yue Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yue 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 | 3 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 12 | |
| 4 | 2025 | 8 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 11 | |
| 10 | 2023 | 19 | |
| 11 | 2022 | 70 | |
| 12 | 2021 | 22 | |
| 13 | 2021 | 45 | |
| 14 | 2021 | 9 | |
| 15 | 2021 | 3 | |
| 16 | 2020 | 114 | |
| 17 | 2020 | 1 | |
| 18 | Operationalizing GNSS as a Fourth Observation for Local Tsunami Warning | 2018 | 1 |
| 19 | Development of a GNSS-Enhanced Tsunami Early Warning System | 2015 | 2 |
| 20 | 2004 | 2 |
About Yue Song
Yue Song is a scholar working on Fluid Flow and Transfer Processes, Medical Laboratory Technology and Automotive Engineering, having authored 35 papers that have together received 617 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (7 papers), Anomaly Detection Techniques and Applications (5 papers), Advanced Aircraft Design and Technologies (4 papers), Fault Detection and Control Systems (3 papers), Vehicle emissions and performance (3 papers), Time Series Analysis and Forecasting (3 papers), Turbomachinery Performance and Optimization (3 papers) and Stability and Control of Uncertain Systems (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (119 citations), Fluid Flow and Transfer Processes (61 citations) and Control and Systems Engineering (159 citations). Yue Song has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Jinsong Yu, Diyin Tang, Jing Dai, Yu Zhou, Shuiting Ding, Xin Li, Xueyu Li, Yajing Li, Xuefeng Zhu and Li Guo. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Scientific Reports and Environmental Pollution.
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.