Do Won Kang

599 citations
30 papers · 474 indexed · h-index 10

Do Won Kang

29 papers receiving 465 citations

Peers

Do Won Kang
Comparison fields: 5 of 50
  • Energy Engineering and Power Technology 34
  • Fluid Flow and Transfer Processes 55
  • Mechanical Engineering 303
  • Statistical and Nonlinear Physics 70
  • Computational Mechanics 84
Replace Luiz Felipe Pellegrini with:
Luiz Felipe Pellegrini Brazil
Wan Khairul Muzammil Malaysia
Miguel A. Reyes-Belmonte Spain
Shaimaa Seyam Canada
Eduardo José Cidade Cavalcanti Brazil
Keyvan Bahlouli Iran
Majed Shreka China
Silvia Ravelli Italy
Sarim Al-Zubaidy Trinidad and Tobago
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Citations per field
00.5×3.4×
Luiz Felipe Pellegrini · 1×
Citations per year

Countries citing papers authored by Do Won Kang

Since Specialization
Citations

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

Fields of papers citing papers by Do Won Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do Won Kang. 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 Do Won Kang. The network helps show where Do Won Kang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Do Won Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Do Won Kang Line = papers co-authored together Do Won Kang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20252
4 20243
5 20234
6 20236
7 201842
8 20181
9 20161
10 20162
11 20153
12 20151
13 201453
14 201414
15 20141
16 201313
17 20131
18 201318
19 201239
20
Late Changes at the Adjacent Segments to Lumbar Fusions
19963

About Do Won Kang

Do Won Kang is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics, Aerospace Engineering, Mechanical Engineering and Energy Engineering and Power Technology, having authored 30 papers that have together received 474 indexed citations. Recurring topics across this work include Thermodynamic and Exergetic Analyses of Power and Cooling Systems (15 papers), Combustion and flame dynamics (9 papers), Advanced Combustion Engine Technologies (8 papers), Turbomachinery Performance and Optimization (8 papers), Refrigeration and Air Conditioning Technologies (6 papers), Carbon Dioxide Capture Technologies (4 papers), Advanced Aircraft Design and Technologies (4 papers) and Advanced Thermodynamic Systems and Engines (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (34 citations), Fluid Flow and Transfer Processes (55 citations), Mechanical Engineering (303 citations), Statistical and Nonlinear Physics (70 citations) and Computational Mechanics (84 citations). Do Won Kang has collaborated with scholars based in South Korea. Frequent co-authors include Tong Seop Kim, Jun Young Kang, Jeong L. Sohn, Young Sik Kim, Jung Ho Lee, Hyun Dong Shin, Jaehong Lee, Jeong Ho Kim, Kook Young Ahn and Sang‐Min Lee. Their work appears in journals such as Energy, Case Studies in Thermal Engineering, Applied Thermal Engineering, Journal of Heat Transfer and Applied Energy.

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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