Reo Kai

439 total citations
34 papers, 311 citations indexed

About

Reo Kai is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Reo Kai has authored 34 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computational Mechanics, 21 papers in Fluid Flow and Transfer Processes and 13 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Reo Kai's work include Combustion and flame dynamics (29 papers), Advanced Combustion Engine Technologies (21 papers) and Fire dynamics and safety research (13 papers). Reo Kai is often cited by papers focused on Combustion and flame dynamics (29 papers), Advanced Combustion Engine Technologies (21 papers) and Fire dynamics and safety research (13 papers). Reo Kai collaborates with scholars based in Japan, China and Germany. Reo Kai's co-authors include Ryoichi Kurose, Philip John Bowen, Agustín Valera-Medina, Abhishek Lakshman Pillai, Hiroaki Watanabe, Yang Yu, Yong Hu, Takuya Murata, Eva Gutheil and Kotaro Hori and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and International Journal of Hydrogen Energy.

In The Last Decade

Reo Kai

32 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Reo Kai Japan 10 264 214 92 55 40 34 311
Linhong Li China 9 434 1.6× 348 1.6× 152 1.7× 61 1.1× 42 1.1× 9 450
Runze Mao China 10 300 1.1× 287 1.3× 113 1.2× 67 1.2× 48 1.2× 16 346
Yingwen Yan China 11 320 1.2× 253 1.2× 131 1.4× 51 0.9× 45 1.1× 57 392
Marc Füri Canada 9 326 1.2× 249 1.2× 119 1.3× 82 1.5× 27 0.7× 21 364
Toni Tahtouh France 8 247 0.9× 255 1.2× 198 2.2× 40 0.7× 72 1.8× 11 360
Ponnuthurai Gokulakrishnan United States 14 422 1.6× 375 1.8× 160 1.7× 49 0.9× 79 2.0× 38 518
Franziska Hunger Germany 13 414 1.6× 326 1.5× 74 0.8× 122 2.2× 31 0.8× 24 460
Rajavasanth Rajasegar United States 14 370 1.4× 344 1.6× 169 1.8× 50 0.9× 59 1.5× 44 490
Delin Zhu United States 10 368 1.4× 315 1.5× 187 2.0× 94 1.7× 28 0.7× 17 424
Donald J. Hautman United States 8 274 1.0× 143 0.7× 84 0.9× 32 0.6× 48 1.2× 14 370

Countries citing papers authored by Reo Kai

Since Specialization
Citations

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

Fields of papers citing papers by Reo Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reo Kai

This figure shows the co-authorship network connecting the top 25 collaborators of Reo Kai. A scholar is included among the top collaborators of Reo Kai 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 Reo Kai. Reo Kai 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.
Yu, Yang, Reo Kai, & Hiroaki Watanabe. (2025). Exploring reaction mechanism and kinetics of acetone pyrolysis and combustion in O2/H2O/CO2 environments via ReaxFF MD simulations. Energy. 335. 137999–137999. 2 indexed citations
2.
Kai, Reo, et al.. (2025). Differential diffusion effect on NH3/H2 non-premixed turbulent flame structure and chemical kinetics. International Journal of Hydrogen Energy. 102. 20–28. 2 indexed citations
3.
Yadav, Sujeet, Reo Kai, Kenji Tanno, & Hiroaki Watanabe. (2025). Large eddy simulation modeling of a semi-industrial scale entrained flow coal gasifier with CO2 recirculation using multi-stream flamelet/progress variable (FPV) approach. Fuel. 392. 134887–134887. 2 indexed citations
4.
Kai, Reo, et al.. (2025). Flame structure and NO production on laminar non-premixed flames of ammonia with highly preheated air. International Journal of Hydrogen Energy. 171. 151062–151062.
5.
Yu, Ke, Yong Hu, Lingfeng He, et al.. (2025). Experimental and numerical study on aerosol explosion characteristics and flame propagation behavior of hydrogen and gasoline spray mixtures. International Journal of Hydrogen Energy. 133. 276–290. 1 indexed citations
6.
Kai, Reo, et al.. (2024). A new semi-implicit pressure-based solver considering real gas effect. Journal of Computational Physics. 501. 112782–112782. 2 indexed citations
7.
Yu, Yang, Reo Kai, & Hiroaki Watanabe. (2024). Atomistic insights into formaldehyde (HCHO) high-temperature treatment and syngas production via ReaxFF MD simulations. Energy. 313. 133725–133725. 5 indexed citations
8.
Kai, Reo, et al.. (2024). Effects of preferential diffusion and flame stretch on FGM method for numerical simulations of ammonia/air premixed combustion. Applications in Energy and Combustion Science. 17. 100253–100253. 5 indexed citations
9.
Yu, Yang, Reo Kai, & Hiroaki Watanabe. (2024). Reaction mechanisms and hydrogen production in the thermal decomposition of simple carboxylic acids in O2/H2O environments. Renewable Energy. 240. 122186–122186. 5 indexed citations
10.
Kai, Reo, et al.. (2024). A DNS study of detonation in H 2 / O 2 mixture with variable-intensity turbulences. Proceedings of the Combustion Institute. 40(1-4). 105337–105337. 2 indexed citations
11.
Kai, Reo, et al.. (2024). FGM modeling considering preferential diffusion, flame stretch, and non-adiabatic effects for hydrogen-air premixed flame wall flashback. Combustion and Flame. 269. 113718–113718. 5 indexed citations
13.
Kai, Reo, Hiroaki Watanabe, & Ryoichi Kurose. (2024). A study on precise estimation of laminar burning velocity of lean hydrogen-air premixed flame (Effect of species diffusion models). SHILAP Revista de lepidopterología. 11(2). 23–400.
14.
Kai, Reo, et al.. (2024). Effects of considering preferential diffusion and flame stretch in FGM method for numerical simulations of hydrogen/air flames. Journal of Thermal Science and Technology. 19(1). 24–87. 3 indexed citations
16.
Yadav, Sujeet, Yong Hu, Reo Kai, et al.. (2023). Large-eddy simulation of the non-adiabatic reforming process of hot coke oven gas using a flamelet-based approach. Journal of Thermal Science and Technology. 18(2). 23–279. 1 indexed citations
17.
Iwai, Yasunori, et al.. (2022). LES/flamelet/ANN of oxy-fuel combustion for a supercritical CO2 power cycle. Applications in Energy and Combustion Science. 12. 100083–100083. 5 indexed citations
18.
Kai, Reo, et al.. (2021). Unsteady flamelet modeling for N 2 H 4 /N 2 O 4 flame accompanied by hypergolic ignition and thermal decomposition. Applications in Energy and Combustion Science. 5. 100022–100022. 1 indexed citations
19.
Hu, Yong, et al.. (2020). Large eddy simulation of a partially pre-vaporized ethanol reacting spray using the multiphase DTF/flamelet model. International Journal of Multiphase Flow. 125. 103216–103216. 22 indexed citations
20.
Kai, Reo, et al.. (2017). Validity of a LES/flamelet approach to a transcritical O2/H2 jet flame. Bulletin of the American Physical Society. 1 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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