Cheoreon Moon

577 total citations
12 papers, 487 citations indexed

About

Cheoreon Moon is a scholar working on Biomedical Engineering, Computational Mechanics and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Cheoreon Moon has authored 12 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 6 papers in Computational Mechanics and 2 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Cheoreon Moon's work include Thermochemical Biomass Conversion Processes (8 papers), Combustion and flame dynamics (5 papers) and Radiative Heat Transfer Studies (3 papers). Cheoreon Moon is often cited by papers focused on Thermochemical Biomass Conversion Processes (8 papers), Combustion and flame dynamics (5 papers) and Radiative Heat Transfer Studies (3 papers). Cheoreon Moon collaborates with scholars based in South Korea, Japan and United Kingdom. Cheoreon Moon's co-authors include Gyungmin Choi, Yonmo Sung, Duckjool Kim, Seongyool Ahn, Chang‐Hyun Kim, Sang‐Min Lee, Taemin Lee, Gyung‐Min Choi, Jong-Jae Lee and Cheolyong Choi and has published in prestigious journals such as Energy, Fuel and Applied Thermal Engineering.

In The Last Decade

Cheoreon Moon

12 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cheoreon Moon South Korea 9 363 176 118 82 70 12 487
Duckjool Kim South Korea 12 420 1.2× 224 1.3× 158 1.3× 147 1.8× 81 1.2× 23 651
Jingzhang Liu China 18 494 1.4× 374 2.1× 176 1.5× 147 1.8× 64 0.9× 45 726
Hyo Jae Jeong South Korea 13 366 1.0× 186 1.1× 180 1.5× 65 0.8× 42 0.6× 17 512
Lanbo Song China 12 328 0.9× 192 1.1× 87 0.7× 72 0.9× 39 0.6× 17 470
W. Rybak Poland 10 288 0.8× 97 0.6× 127 1.1× 112 1.4× 78 1.1× 26 426
Peifang Fu China 12 212 0.6× 109 0.6× 169 1.4× 173 2.1× 30 0.4× 29 452
Hookyung Lee South Korea 12 281 0.8× 256 1.5× 118 1.0× 101 1.2× 32 0.5× 34 454
Guangchao Ding China 14 283 0.8× 84 0.5× 192 1.6× 137 1.7× 28 0.4× 22 494
Michitaka Ikeda Japan 8 267 0.7× 170 1.0× 80 0.7× 50 0.6× 59 0.8× 15 364
Mingchen Xu Singapore 12 285 0.8× 263 1.5× 82 0.7× 47 0.6× 33 0.5× 21 444

Countries citing papers authored by Cheoreon Moon

Since Specialization
Citations

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

Fields of papers citing papers by Cheoreon Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheoreon Moon

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

All Works

12 of 12 papers shown
1.
Lee, Taemin, et al.. (2019). Performance comparison between bypass cycle and injection cycle for sub-cooling methods in multi-split variable refrigerant flow (VRF) system in hot seasons. International Journal of Refrigeration. 107. 202–213. 12 indexed citations
2.
Lee, Taemin, et al.. (2019). Performance analysis of multi-split variable refrigerant flow (VRF) system with vapor-injection in cold season. International Journal of Refrigeration. 99. 419–428. 9 indexed citations
5.
Sung, Yonmo, Sang‐Min Lee, Chang‐Hyun Kim, et al.. (2015). Synergistic effect of co-firing woody biomass with coal on NOx reduction and burnout during air-staged combustion. Experimental Thermal and Fluid Science. 71. 114–125. 58 indexed citations
6.
Sung, Yonmo, Cheolyong Choi, Cheoreon Moon, et al.. (2015). Nitric oxide emissions and combustion performance of nontraditional ring-fired boilers with furnace geometries. Journal of Mechanical Science and Technology. 29(8). 3489–3499. 4 indexed citations
7.
8.
Moon, Cheoreon, et al.. (2014). NOx emissions and burnout characteristics of bituminous coal, lignite, and their blends in a pulverized coal-fired furnace. Experimental Thermal and Fluid Science. 62. 99–108. 47 indexed citations
9.
Moon, Cheoreon, et al.. (2013). Thermochemical and combustion behaviors of coals of different ranks and their blends for pulverized-coal combustion. Applied Thermal Engineering. 54(1). 111–119. 95 indexed citations
10.
Moon, Cheoreon, et al.. (2013). Effect of blending ratio on combustion performance in blends of biomass and coals of different ranks. Experimental Thermal and Fluid Science. 47. 232–240. 124 indexed citations
11.
Sung, Yonmo, Cheoreon Moon, Seongyool Ahn, Gyungmin Choi, & Duckjool Kim. (2012). Experimental study on interaction and excess heat release under oxy-fuel combustion of blended coals. Korean Journal of Chemical Engineering. 30(2). 337–344. 3 indexed citations
12.
Moon, Cheoreon, et al.. (2010). Nuclear Astrophysics at the KoRIA Facility. New Physics Sae Mulli. 60(8). 779–799. 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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