Jiankun Shao

1.5k total citations · 1 hit paper
48 papers, 1.2k citations indexed

About

Jiankun Shao is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Jiankun Shao has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Fluid Flow and Transfer Processes, 27 papers in Computational Mechanics and 21 papers in Aerospace Engineering. Recurrent topics in Jiankun Shao's work include Advanced Combustion Engine Technologies (33 papers), Combustion and flame dynamics (25 papers) and Combustion and Detonation Processes (16 papers). Jiankun Shao is often cited by papers focused on Advanced Combustion Engine Technologies (33 papers), Combustion and flame dynamics (25 papers) and Combustion and Detonation Processes (16 papers). Jiankun Shao collaborates with scholars based in United States, China and France. Jiankun Shao's co-authors include Ronald K. Hanson, David F. Davidson, Rishav Choudhary, Ashkan Movaghar, Tianfeng Lu, Hai Wang, Rui Xu, Fokion N. Egolfopoulos, Kun Wang and Shengkai Wang and has published in prestigious journals such as Analytical Chemistry, Fuel and The Journal of Physical Chemistry A.

In The Last Decade

Jiankun Shao

46 papers receiving 1.1k citations

Hit Papers

A physics-based approach to modeling real-fuel combustion... 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiankun Shao United States 20 796 714 359 188 159 48 1.2k
Erik Ninnemann United States 17 478 0.6× 415 0.6× 227 0.6× 138 0.7× 80 0.5× 47 718
Matthew F. Campbell United States 16 499 0.6× 341 0.5× 168 0.5× 144 0.8× 104 0.7× 33 856
Joseph Lopez United States 10 618 0.8× 517 0.7× 278 0.8× 137 0.7× 75 0.5× 17 831
A.V. Mokhov Netherlands 20 999 1.3× 804 1.1× 343 1.0× 133 0.7× 107 0.7× 38 1.5k
Trupti Kathrotia Germany 22 902 1.1× 749 1.0× 282 0.8× 261 1.4× 100 0.6× 50 1.2k
Philippe Scouflaire France 24 739 0.9× 1.2k 1.7× 573 1.6× 137 0.7× 50 0.3× 53 1.5k
Robert Schießl Germany 19 1.0k 1.3× 908 1.3× 422 1.2× 250 1.3× 64 0.4× 75 1.3k
Ehson F. Nasir Saudi Arabia 15 444 0.6× 382 0.5× 114 0.3× 177 0.9× 231 1.5× 23 726
Jun Kojima United States 15 517 0.6× 723 1.0× 148 0.4× 156 0.8× 192 1.2× 37 986
Nathalie Lamoureux France 18 1.1k 1.3× 868 1.2× 468 1.3× 106 0.6× 132 0.8× 41 1.4k

Countries citing papers authored by Jiankun Shao

Since Specialization
Citations

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

Fields of papers citing papers by Jiankun Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiankun Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Jiankun Shao. A scholar is included among the top collaborators of Jiankun Shao 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 Jiankun Shao. Jiankun Shao 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.
Jia, Wangcun, et al.. (2025). Ignition delay time and methane time history in hydrogen-natural gas surrogate blends: A shock tube study. Combustion and Flame. 277. 114191–114191. 3 indexed citations
2.
Lin, Zhang, et al.. (2025). Shock tube and laser absorption study of C–N–Cl interactions relevant to ammonium perchlorate combustion. Combustion and Flame. 282. 114508–114508.
3.
Guo, Ding, et al.. (2025). Shock-induced auto-ignition of partially dissociated ammonia mixtures. Combustion and Flame. 279. 114280–114280. 1 indexed citations
4.
Sun, Jiachen, Fupeng Wang, Lin Zhang, & Jiankun Shao. (2025). A novel photoacoustic gas sensor for dual-component identification and concentration analysis. Infrared Physics & Technology. 145. 105711–105711. 1 indexed citations
5.
Sun, Jiachen, Jiankun Shao, & Dezhi Zheng. (2025). Artificial Peak Laser Absorption Spectroscopy: Simultaneous Quantification of Temperature and Concentration with Extended Dynamic Range. Analytical Chemistry. 97(37). 20247–20254.
6.
Shao, Jiankun, et al.. (2024). SpikingViT: A Multiscale Spiking Vision Transformer Model for Event-Based Object Detection. IEEE Transactions on Cognitive and Developmental Systems. 17(1). 130–146. 8 indexed citations
7.
Jia, Wangcun, et al.. (2024). Experimental and modeling study of the oxidation of NH3/C2H4 mixtures in a shock tube. Combustion and Flame. 270. 113777–113777. 6 indexed citations
8.
Lin, Zhang, et al.. (2024). An experimental and modeling study of the auto-ignition of NH3/syngas mixtures in a shock tube. Combustion and Flame. 272. 113918–113918. 5 indexed citations
9.
Sun, Jiachen, et al.. (2024). Inverse fitting direct absorption spectroscopy Technology: Simplified implementation and enhanced performance. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 320. 124660–124660. 1 indexed citations
10.
Choudhary, Rishav, et al.. (2023). Low-temperature oxidation of n-octane and n-decane in shock tubes: Differences in time histories of key intermediates. Combustion and Flame. 251. 112670–112670. 7 indexed citations
11.
Wang, Cheng, et al.. (2023). Simplified Reaction Mechanisms for the Oxidation of Jet Fuel. Combustion Science and Technology. 196(18). 5023–5047. 2 indexed citations
12.
Gokulakrishnan, Ponnuthurai, Jiankun Shao, Michael S. Klassen, David F. Davidson, & Ronald K. Hanson. (2022). NOx formation from ammonia, and its effects on oxy-combustion of hydrocarbon fuels under supercritical-CO2 conditions. Applications in Energy and Combustion Science. 13. 100110–100110. 4 indexed citations
13.
Sun, Hongmin, Yongping Yang, Tinglu Song, et al.. (2022). The Active Sites and Corresponding Stability Challenges of the M‐N‐C Catalysts for Proton Exchange Membrane Fuel Cell. Chinese Journal of Chemistry. 41(6). 710–724. 19 indexed citations
14.
Shao, Jiankun, et al.. (2021). Thermometry and speciation for high-temperature and -pressure methane pyrolysis using shock tubes and dual-comb spectroscopy. Measurement Science and Technology. 32(12). 125502–125502. 10 indexed citations
15.
Shao, Jiankun, et al.. (2020). High-speed imaging of n-heptane ignition in a high-pressure shock tube. Proceedings of the Combustion Institute. 38(1). 911–918. 12 indexed citations
16.
Choudhary, Rishav, et al.. (2020). The thermal decomposition of ethane. Fuel. 268. 117409–117409. 21 indexed citations
18.
Davidson, David F., et al.. (2017). Shock Tube Measurements of Jet and Rocket Fuel Ignition Delay Times. 55th AIAA Aerospace Sciences Meeting. 10 indexed citations
19.
Davidson, David F., et al.. (2016). Ignition delay time correlations for distillate fuels. Fuel. 187. 26–32. 50 indexed citations
20.
Taylor, G.W., Yiping Huo, & Jiankun Shao. (2001). A new model for semiconductor laser high frequency performance based on Fermi energies. Optics Communications. 189(4-6). 345–355. 5 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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