Yu Daimon

995 total citations
86 papers, 752 citations indexed

About

Yu Daimon is a scholar working on Aerospace Engineering, Computational Mechanics and Mechanics of Materials. According to data from OpenAlex, Yu Daimon has authored 86 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Aerospace Engineering, 56 papers in Computational Mechanics and 16 papers in Mechanics of Materials. Recurrent topics in Yu Daimon's work include Rocket and propulsion systems research (46 papers), Combustion and flame dynamics (33 papers) and Heat transfer and supercritical fluids (21 papers). Yu Daimon is often cited by papers focused on Rocket and propulsion systems research (46 papers), Combustion and flame dynamics (33 papers) and Heat transfer and supercritical fluids (21 papers). Yu Daimon collaborates with scholars based in Japan, Germany and United States. Yu Daimon's co-authors include Hideyo Negishi, Akiko Matsuo, Nobuhiro Yamanishi, Hiroshi Terashima, Mitsuo Koshi, Chihiro Inoue, Go Fujii, Jiro Kasahara, Nobuyuki Tsuboi and T. Endo and has published in prestigious journals such as International Journal of Hydrogen Energy, International Journal of Heat and Mass Transfer and The Journal of Physical Chemistry A.

In The Last Decade

Yu Daimon

80 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Daimon Japan	16	525	461	179	144	81	86	752
François Falempin France	19	906 1.7×	532 1.2×	233 1.3×	119 0.8×	202 2.5×	89	1.0k
Sally P. Bane United States	12	358 0.7×	229 0.5×	115 0.6×	158 1.1×	73 0.9×	52	527
I. S. Yakovenko Russia	13	473 0.9×	321 0.7×	126 0.7×	133 0.9×	231 2.9×	74	573
Qingchun Yang China	22	735 1.4×	898 1.9×	102 0.6×	151 1.0×	19 0.2×	59	1.1k
B. Varatharajan United States	13	469 0.9×	471 1.0×	157 0.9×	373 2.6×	127 1.6×	20	691
Bernard Parent South Korea	17	561 1.1×	499 1.1×	74 0.4×	41 0.3×	70 0.9×	51	723
A. G. Istratov Russia	9	318 0.6×	344 0.7×	126 0.7×	124 0.9×	136 1.7×	26	556
Prashant Khare United States	14	150 0.3×	287 0.6×	88 0.5×	55 0.4×	28 0.3×	68	474
Rowan Gollan Australia	17	511 1.0×	656 1.4×	43 0.2×	123 0.9×	46 0.6×	84	919
A. Koichi Hayashi Japan	13	608 1.2×	254 0.6×	244 1.4×	158 1.1×	294 3.6×	43	689

Countries citing papers authored by Yu Daimon

Since Specialization

Citations

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

Fields of papers citing papers by Yu Daimon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Daimon

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Daimon. A scholar is included among the top collaborators of Yu Daimon 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 Yu Daimon. Yu Daimon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hayashi, Jun, et al.. (2024). Boiling induced atomization of liquid film produced by oblique jet impingement on superheated wall. Experimental Thermal and Fluid Science. 158. 111262–111262. 2 indexed citations

Khan, Samir, et al.. (2024). Framework for Data‒Driven Fault Diagnosis of Numerical Spacecraft Propulsion Systems. International Journal of Prognostics and Health Management. 15(3). 1 indexed citations

Inoue, Chihiro, et al.. (2024). Optimal Liquid Engine Architecture by Performance-Cooling Tradeoff Analysis. Journal of Propulsion and Power. 40(4). 631–641. 1 indexed citations

Hayashi, Jun, et al.. (2023). Liquid film and heat transfer characteristics during superheated wall cooling via pulsed injection of a liquid jet. International Journal of Heat and Mass Transfer. 205. 123934–123934. 9 indexed citations

Daimon, Yu, et al.. (2023). Dataset Generation Based on 1D-CAE Modeling for Fault Diagnostics in a Spacecraft Propulsion System. 4(1). 2 indexed citations

Inoue, Chihiro, et al.. (2021). Direct Formulation of Bipropellant Thruster Performance for Quantitative Cold-Flow Diagnostic. Journal of Propulsion and Power. 37(6). 842–849. 3 indexed citations

Fujii, Go, et al.. (2020). Visualization of Pulse Firing Mode in Hypergolic Bipropellant Thruster. Journal of Propulsion and Power. 36(5). 677–684. 16 indexed citations

Hayashi, Jun, et al.. (2020). Experimental analysis of the spreading of a liquid film on a bipropellant thruster chamber wall. Journal of Thermal Science and Technology. 16(1). JTST0008–JTST0008. 8 indexed citations

Inoue, Chihiro, Koji Nozaki, Takehiro Himeno, et al.. (2019). Unified Length Scale of Spray Structure by Unlike Impinging Jets. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES. 62(4). 213–218. 8 indexed citations

10.

Daimon, Yu, et al.. (2019). An equilibrium wall model for reacting turbulent flows with heat transfer. International Journal of Heat and Mass Transfer. 141. 1187–1195. 13 indexed citations

11.

Daimon, Yu, et al.. (2018). Wall modeling of reacting turbulent flow and heat transfer in liquid rocket engines. 2018 Joint Propulsion Conference. 2 indexed citations

12.

Daimon, Yu, et al.. (2018). Study on Chemical Heat Sink of Liquid Hydrocarbon Fuel under Supercritical Condition. The Proceedings of Mechanical Engineering Congress Japan. 2018(0). G0600205–G0600205. 1 indexed citations

13.

Umemura, Yutaka, et al.. (2017). Interface Tracking Simulations of Liquid Oxygen/Gaseous Hydrogen Coaxial Combustions at Subcritical Pressures. 55th AIAA Aerospace Sciences Meeting. 5 indexed citations

14.

Daimon, Yu, et al.. (2017). FLOW FIELD AND HEAT TRANSFER ANALYSIS IN AMON/MMH BIPROPELLANT ROCKET ENGINE. International Journal of Energetic Materials and Chemical Propulsion. 16(3). 263–280. 9 indexed citations

15.

Negishi, Hideyo, et al.. (2015). Regenerative Cooling Performance Analysis of the LE-X Engine Combustion Chamber. 51st AIAA/SAE/ASEE Joint Propulsion Conference. 7 indexed citations

16.

Negishi, Hideyo, et al.. (2014). Flowfield and Heat Transfer Characteristics in the LE-X Expander Bleed Cycle Combustion Chamber. 50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference. 9 indexed citations

17.

Negishi, Hideyo, et al.. (2013). Conjugated Combustion and Heat Transfer Modeling for Full-Scale Regeneratively Cooled Thrust Chambers. 49th AIAA/ASME/SAE/ASEE Joint Propulsion Conference. 15 indexed citations

18.

Shimada, Toru, et al.. (2010). Advanced Computer Science on Internal Ballistics of Solid Rocket Motors. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 8(ists27). Pa_29–Pa_37. 4 indexed citations

19.

Shimada, Toru, et al.. (2006). Computational fluid dynamics of multiphase flows in solid rocket motors. JAXA Repository (JAXA). 7 indexed citations

20.

Daimon, Yu & Akiko Matsuo. (2004). Analogy between wedge-induced steady oblique detonation and one-dimensional piston-supported unsteady detonation. 65(4). 111–115. 9 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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