Mingbo Sun

9.6k total citations · 1 hit paper
328 papers, 7.6k citations indexed

About

Mingbo Sun is a scholar working on Computational Mechanics, Aerospace Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Mingbo Sun has authored 328 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 301 papers in Computational Mechanics, 196 papers in Aerospace Engineering and 24 papers in Fluid Flow and Transfer Processes. Recurrent topics in Mingbo Sun's work include Computational Fluid Dynamics and Aerodynamics (242 papers), Combustion and flame dynamics (190 papers) and Fluid Dynamics and Turbulent Flows (124 papers). Mingbo Sun is often cited by papers focused on Computational Fluid Dynamics and Aerodynamics (242 papers), Combustion and flame dynamics (190 papers) and Fluid Dynamics and Turbulent Flows (124 papers). Mingbo Sun collaborates with scholars based in China, United Kingdom and Sweden. Mingbo Sun's co-authors include Hongbo Wang, Zhenguo Wang, Zhenguo Wang, Zun Cai, Jianhan Liang, Ning Qin, Jiajian Zhu, Zhiwei Hu, Guoyan Zhao and Yixin Yang and has published in prestigious journals such as Nature Communications, Journal of Fluid Mechanics and Macromolecules.

In The Last Decade

Mingbo Sun

307 papers receiving 7.5k citations

Hit Papers

Combustion modes of hydrogen jet combustion in a cavity-b... 2013 2026 2017 2021 2013 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Combustion modes of hydrogen jet combustion in a cavity-based supersonic combustor
    2013 286 citations Hongbo Wang, Zhenguo Wang et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingbo Sun China 47 6.9k 4.7k 695 619 455 328 7.6k
Noel T. Clemens United States 36 5.4k 0.8× 3.4k 0.7× 696 1.0× 605 1.0× 480 1.1× 211 5.8k
Zhenguo Wang China 44 5.1k 0.7× 3.7k 0.8× 344 0.5× 797 1.3× 213 0.5× 197 5.8k
Hongbo Wang China 36 3.8k 0.6× 2.5k 0.5× 374 0.5× 348 0.6× 275 0.6× 153 4.1k
Wei Huang China 56 8.4k 1.2× 6.8k 1.5× 457 0.7× 2.3k 3.7× 252 0.6× 265 9.7k
Jack R. Edwards United States 40 4.9k 0.7× 3.0k 0.6× 288 0.4× 1.1k 1.7× 257 0.6× 250 5.7k
В. Ф. Никитин Russia 28 2.2k 0.3× 2.5k 0.5× 333 0.5× 350 0.6× 231 0.5× 111 3.7k
James F. Driscoll United States 47 6.6k 0.9× 2.5k 0.5× 3.2k 4.6× 522 0.8× 227 0.5× 198 7.0k
Charles Merkle United States 35 4.1k 0.6× 2.0k 0.4× 733 1.1× 577 0.9× 415 0.9× 250 5.1k
Mark Gruber United States 35 4.0k 0.6× 2.8k 0.6× 297 0.4× 501 0.8× 111 0.2× 110 4.4k
Bénédicte Cuenot France 39 3.7k 0.5× 1.2k 0.3× 2.1k 3.0× 115 0.2× 349 0.8× 155 4.5k

Countries citing papers authored by Mingbo Sun

Since Specialization
Citations

This map shows the geographic impact of Mingbo Sun'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 Mingbo Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingbo Sun more than expected).

Fields of papers citing papers by Mingbo Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingbo Sun. 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 Mingbo Sun. The network helps show where Mingbo Sun may publish in the future.

Co-authorship network of co-authors of Mingbo Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Mingbo Sun. A scholar is included among the top collaborators of Mingbo Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingbo Sun. Mingbo Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sun, Mingbo, et al.. (2025). Variations of supersonic combustion modes induced by different wall temperatures in axisymmetric scramjet. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 239(13). 1577–1590. 1 indexed citations
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Li, Fan, et al.. (2024). Wavelet optical flow velocimetry of a scramjet combustor using high-speed frame-straddling focusing schlieren images. Combustion and Flame. 269. 113705–113705. 3 indexed citations
5.
Wang, Chao, Mingbo Sun, Yixin Yang, et al.. (2024). Improved SST turbulence model for supersonic flows with APG/separation. Computers & Fluids. 274. 106237–106237. 10 indexed citations
6.
Zhao, Guoyan, et al.. (2024). On scale effect of supersonic combustion in axisymmetric combustor. Aerospace Science and Technology. 155. 109566–109566. 5 indexed citations
7.
Gao, Zhan, et al.. (2024). Transition of the flow type in the supersonic cavity controlled by the wall temperature. International Journal of Heat and Fluid Flow. 109. 109549–109549. 2 indexed citations
8.
Cai, Zun, et al.. (2024). Laser ablation ignition modes in a cavity-based supersonic combustor. Chinese Journal of Aeronautics. 38(4). 103293–103293. 2 indexed citations
9.
Tian, Yifu, Jiajian Zhu, Mingbo Sun, et al.. (2024). Combustion enhancement in a model scramjet by a simple pin-to-pin AC arc plasma. Proceedings of the Combustion Institute. 40(1-4). 105259–105259. 29 indexed citations
10.
Zhao, Guoyan, et al.. (2024). On compression level of hypersonic airflow in high-mach scramjet. Energy. 295. 130993–130993. 8 indexed citations
11.
Cai, Zun, et al.. (2024). Combustion mode transition and oscillation suppression in supersonic flow using hydrogen jet. Proceedings of the Combustion Institute. 40(1-4). 105361–105361. 9 indexed citations
12.
Li, Fan, et al.. (2024). Effect of Gas Addition on Liquid Kerosene Combustion in a Scramjet Combustor. AIAA Journal. 62(9). 3284–3293. 3 indexed citations
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Chen, Jikai, et al.. (2023). Experimental and numerical study on RBCC engines performance in simultaneous and combustion cycle. International Communications in Heat and Mass Transfer. 150. 107186–107186. 7 indexed citations
16.
Sun, Mingbo, et al.. (2023). Effects of excess oxidizer coefficient on RBCC engine performance in ejector mode: A theoretical investigation. Energy. 289. 130070–130070. 5 indexed citations
17.
Cai, Zun, et al.. (2023). Behaviors of the reacting flowfield during the spontaneous formation of ramjet mode under a supersonic inflow. Physics of Fluids. 35(2). 23 indexed citations
18.
Li, Peibo, et al.. (2023). Numerical study on the mixing and combustion characteristics of a liquid kerosene jet in a scramjet combustor. Aerospace Science and Technology. 139. 108362–108362. 14 indexed citations
19.
Tang, Tao, Jiangfei Yu, Yuhui Huang, et al.. (2023). Numerical study of transverse jet mixing and combustion in a high-enthalpy supersonic crossflow with trace gases. Physics of Fluids. 35(3). 23 indexed citations
20.
Sun, Mingbo, Qiancheng Wang, Yuan Liu, et al.. (2019). Experimental study of parallel injections with different distances into a supersonic crossflow. Acta Astronautica. 168. 242–248. 11 indexed citations

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.

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