Song Liu
- Mechanical Engineering top 5%
- Hydraulic and Pneumatic Systems 10
- Heat Transfer Mechanisms 8
- Iron and Steelmaking Processes 8
- Mineral Processing and Grinding 7
- Membrane Separation and Gas Transport 4
- Water Science and Technology top 10%
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- Real-time simulation and control systems 4
- General Engineering top 10%
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- Fluid Dynamics and Turbulent Flows 6
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- Turbomachinery Performance and Optimization 6
- Journals
- Journal of Membrane Science (1 paper)Construction and Building Materials (2 papers)Industrial & Engineering Chemistry Research (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Song Liu
46 papers receiving 799 citations
Peers
Comparison fields: 5 of 82
- Mechanical Engineering 487
- Water Science and Technology 105
- Radiological and Ultrasound Technology 39
- Control and Systems Engineering 164
- General Engineering 8
Countries citing papers authored by Song Liu
This map shows the geographic impact of Song Liu'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 Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Liu more than expected).
Fields of papers citing papers by Song Liu
This network shows the impact of papers produced by Song Liu. 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 Liu. The network helps show where Song Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Song Liu, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 8 | |
| 14 | 2022 | 14 | |
| 15 | 2020 | 55 | |
| 16 | 2020 | 6 | |
| 17 | 2006 | 34 | |
| 18 | 2006 | 32 | |
| 19 | Automated modeling and energy saving adaptive robust control of electro-hydraulic systems with programmable valves | 2005 | 1 |
| 20 | 2002 | 10 |
About Song Liu
Song Liu is a scholar working on Mechanical Engineering, General Engineering and Computational Mechanics, having authored 50 papers that have together received 818 indexed citations. Recurring topics across this work include Hydraulic and Pneumatic Systems (10 papers), Heat Transfer Mechanisms (8 papers), Iron and Steelmaking Processes (8 papers), Mineral Processing and Grinding (7 papers), Fluid Dynamics and Turbulent Flows (6 papers), Turbomachinery Performance and Optimization (6 papers), Real-time simulation and control systems (4 papers) and Membrane Separation and Gas Transport (4 papers). The work is most often cited by research in Mechanical Engineering (487 citations), Water Science and Technology (105 citations) and Radiological and Ultrasound Technology (39 citations). Song Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bin Yao, Wanqin Jin, Gongping Liu, Xiaojie Liu, Zhipeng Zhou, Guozhen Liu, Fumin Li, Haoyu Wang, Kang Ma and Xiaoyue Wang. Their work appears in journals such as Journal of Membrane Science, Construction and Building Materials and Industrial & Engineering Chemistry Research.
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.