Jiang Qin
Impact in
- Fluid Flow and Transfer Processes top 0.5%
- Advanced Combustion Engine Technologies
- Computational Mechanics top 0.2%
- Heat transfer and supercritical fluids
- Combustion and flame dynamics
- Computational Fluid Dynamics and Aerodynamics
Papers in
-
- Heat transfer and supercritical fluids 95
-
- Rocket and propulsion systems research 65
- Nuclear reactor physics and engineering 36
- Co-authors
- Wen Bao (63 shared papers)Silong Zhang (55 shared papers)Kunlin Cheng (60 shared papers)Yu Feng (34 shared papers)Hongyan Huang (32 shared papers)Weixing Zhou (10 shared papers)Daren Yu (13 shared papers)Yuguang Jiang (17 shared papers)
In The Last Decade
Jiang Qin
198 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 73
- Fluid Flow and Transfer Processes 950
- Computational Mechanics 2.9k
- Aerospace Engineering 1.9k
- Energy Engineering and Power Technology 118
- Mechanical Engineering 1.2k
Countries citing papers authored by Jiang Qin
This map shows the geographic impact of Jiang Qin'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 Jiang Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Qin more than expected).
Fields of papers citing papers by Jiang Qin
This network shows the impact of papers produced by Jiang Qin. 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 Jiang Qin. The network helps show where Jiang Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang Qin, 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 206 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 127 | |
| 2 | 2012 | 119 | |
| 3 | 2021 | 102 | |
| 4 | 2014 | 101 | |
| 5 | 2011 | 97 | |
| 6 | 2019 | 93 | |
| 7 | 2015 | 91 | |
| 8 | 2019 | 79 | |
| 9 | 2014 | 77 | |
| 10 | 2012 | 73 | |
| 11 | 2018 | 72 | |
| 12 | 2015 | 71 | |
| 13 | 2016 | 67 | |
| 14 | 2009 | 67 | |
| 15 | 2015 | 66 | |
| 16 | 2016 | 62 | |
| 17 | 2017 | 62 | |
| 18 | 2014 | 60 | |
| 19 | 2017 | 60 | |
| 20 | 2019 | 60 |
About Jiang Qin
Jiang Qin is a scholar working on Computational Mechanics, Aerospace Engineering, Mechanical Engineering, Materials Chemistry and Fluid Flow and Transfer Processes, having authored 206 papers that have together received 5.0k indexed citations. Recurring topics across this work include Heat transfer and supercritical fluids (95 papers), Rocket and propulsion systems research (65 papers), Nuclear reactor physics and engineering (36 papers), Advanced Combustion Engine Technologies (34 papers), Catalytic Processes in Materials Science (29 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (25 papers), Advanced Thermodynamic Systems and Engines (24 papers) and Subcritical and Supercritical Water Processes (21 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (950 citations), Computational Mechanics (2.9k citations), Aerospace Engineering (1.9k citations), Energy Engineering and Power Technology (118 citations) and Mechanical Engineering (1.2k citations). Jiang Qin has collaborated with scholars based in China, France and Taiwan. Frequent co-authors include Wen Bao, Silong Zhang, Kunlin Cheng, Yu Feng, Hongyan Huang, Weixing Zhou, Daren Yu, Yuguang Jiang, Zhixing Ji and Yong Cao. Their work appears in journals such as Energy, Applied Thermal Engineering, Energy Conversion and Management, International Journal of Heat and Mass Transfer and International Journal of Hydrogen Energy.
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.