Leijian Song
- Computational Mechanics top 2%
- Fluid Dynamics and Vibration Analysis 17
- Environmental Engineering top 5%
- Wind and Air Flow Studies 10
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- Vibration and Dynamic Analysis 14
- Ocean Engineering top 10%
- Offshore Engineering and Technologies 2
- Drilling and Well Engineering 1
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- Aerodynamics and Fluid Dynamics Research 1
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- Mechanical stress and fatigue analysis 4
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- Geotechnical Engineering and Underground Structures 1
- Co-authors
- Shixiao FuYun GaoLeixin MaJing CaoYifan ChenMengmeng ZhangJungao WangXiaoying Tang
- Journals
- Energy Conversion and Management (1 paper)Ocean Engineering (3 papers)Journal of Fluids and Structures (2 papers)
- Partner nations
- ChinaNorwayUnited States
In The Last Decade
Leijian Song
18 papers receiving 485 citations
Peers
Comparison fields: 5 of 23
- Computational Mechanics 456
- Environmental Engineering 280
- Control and Systems Engineering 372
- Ocean Engineering 65
- Aerospace Engineering 78
Countries citing papers authored by Leijian Song
This map shows the geographic impact of Leijian 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 Leijian Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leijian Song more than expected).
Fields of papers citing papers by Leijian Song
This network shows the impact of papers produced by Leijian 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 Leijian Song. The network helps show where Leijian Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Leijian 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 | 0 | |
| 2 | 2022 | 31 | |
| 3 | 2018 | 5 | |
| 4 | 2018 | 9 | |
| 5 | 2018 | 32 | |
| 6 | 2018 | 6 | |
| 7 | 2018 | 12 | |
| 8 | 2017 | 11 | |
| 9 | 2017 | 3 | |
| 10 | 2017 | 3 | |
| 11 | 2016 | 152 | |
| 12 | 2016 | 3 | |
| 13 | 2016 | 17 | |
| 14 | 2016 | 29 | |
| 15 | 2015 | 79 | |
| 16 | 2015 | 80 | |
| 17 | Dynamical Analysis on Drilling Riser Evacuated in Hard Hang-off Mode | 2014 | 13 |
| 18 | 2014 | 4 | |
| 19 | 2013 | 2 |
About Leijian Song
Leijian Song is a scholar working on Computational Mechanics, Environmental Engineering and Control and Systems Engineering, having authored 19 papers that have together received 491 indexed citations. Recurring topics across this work include Fluid Dynamics and Vibration Analysis (17 papers), Vibration and Dynamic Analysis (14 papers), Wind and Air Flow Studies (10 papers), Mechanical stress and fatigue analysis (4 papers), Offshore Engineering and Technologies (2 papers), Geotechnical Engineering and Underground Structures (1 paper), Aerodynamics and Fluid Dynamics Research (1 paper) and Drilling and Well Engineering (1 paper). The work is most often cited by research in Computational Mechanics (456 citations), Environmental Engineering (280 citations) and Control and Systems Engineering (372 citations). Leijian Song has collaborated with scholars based in China, Norway and United States. Frequent co-authors include Shixiao Fu, Yun Gao, Leixin Ma, Jing Cao, Yifan Chen, Mengmeng Zhang, Jungao Wang, Yifan Chen, Xiaoying Tang and Haojie Ren. Their work appears in journals such as Energy Conversion and Management, Ocean Engineering and Journal of Fluids and Structures.
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.