Donghai Jin
Impact in
- Aerospace Engineering top 5%
- Turbomachinery Performance and Optimization
- Aerodynamics and Fluid Dynamics Research
- Computational Mechanics top 5%
- Fluid Dynamics and Turbulent Flows
- Combustion and flame dynamics
- Computational Fluid Dynamics and Aerodynamics
Papers in
-
- Turbomachinery Performance and Optimization 43
- Aerodynamics and Fluid Dynamics Research 10
-
- Fluid Dynamics and Turbulent Flows 22
- Computational Fluid Dynamics and Aerodynamics 9
- Combustion and flame dynamics 8
- Co-authors
- Xingmin Gui (55 shared papers)Xiaofeng Sun (6 shared papers)Dakun Sun (6 shared papers)Fang Zhu (5 shared papers)Xiaoheng Liu (5 shared papers)Xu Dong (2 shared papers)Shengshou Hu (7 shared papers)Xiaohua Liu (1 shared paper)
In The Last Decade
Donghai Jin
54 papers receiving 463 citations
Peers
Comparison fields: 5 of 44
- Aerospace Engineering 320
- Computational Mechanics 209
- Mechanical Engineering 203
- Fluid Flow and Transfer Processes 24
- Biomedical Engineering 92
Countries citing papers authored by Donghai Jin
This map shows the geographic impact of Donghai Jin'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 Donghai Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donghai Jin more than expected).
Fields of papers citing papers by Donghai Jin
This network shows the impact of papers produced by Donghai Jin. 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 Donghai Jin. The network helps show where Donghai Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Donghai Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 47 | |
| 2 | 2008 | 36 | |
| 3 | 2015 | 28 | |
| 4 | 2018 | 23 | |
| 5 | 2012 | 22 | |
| 6 | 2015 | 22 | |
| 7 | 2014 | 20 | |
| 8 | 2010 | 18 | |
| 9 | 2018 | 15 | |
| 10 | 2013 | 14 | |
| 11 | 2010 | 13 | |
| 12 | 2022 | 13 | |
| 13 | 2017 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2017 | 11 | |
| 18 | 2017 | 10 | |
| 19 | 2016 | 9 | |
| 20 | 2017 | 8 |
About Donghai Jin
Donghai Jin is a scholar working on Aerospace Engineering, Computational Mechanics, Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering, having authored 63 papers that have together received 468 indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (43 papers), Fluid Dynamics and Turbulent Flows (22 papers), Heat Transfer Mechanisms (16 papers), Refrigeration and Air Conditioning Technologies (13 papers), Mechanical Circulatory Support Devices (13 papers), Aerodynamics and Fluid Dynamics Research (10 papers), Computational Fluid Dynamics and Aerodynamics (9 papers) and Combustion and flame dynamics (8 papers). The work is most often cited by research in Aerospace Engineering (320 citations), Computational Mechanics (209 citations), Mechanical Engineering (203 citations), Fluid Flow and Transfer Processes (24 citations) and Biomedical Engineering (92 citations). Donghai Jin has collaborated with scholars based in China and India. Frequent co-authors include Xingmin Gui, Xiaofeng Sun, Dakun Sun, Fang Zhu, Xiaoheng Liu, Xu Dong, Shengshou Hu, Xiaohua Liu, Fanyu Li and Min Chen. Their work appears in journals such as Chinese Journal of Aeronautics, Applied Sciences, Aerospace Science and Technology, Journal of Fluids Engineering and ASAIO Journal.
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.