Ki Hoon Song
- Fluid Flow and Transfer Processes top 2%
- Computational Mechanics top 5%
- Biomedical Engineering
- Materials Chemistry
- Automotive Engineering top 10%
- Co-authors
- Thomas LitzingerDaniel C. HaworthRobert J. SantoroJuntao WuSeong-Young LeeMilton J. LinevskyMeredith B. ColketDavid S. Liscinsky
- Topics
- Liquid Crystal Research Advancements (6 papers)Advanced Combustion Engine Technologies (5 papers)Biodiesel Production and Applications (3 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Ki Hoon Song
27 papers receiving 537 citations
Peers
Comparison fields: 5 of 72
- Fluid Flow and Transfer Processes 338
- Computational Mechanics 172
- Biomedical Engineering 169
- Materials Chemistry 132
- Automotive Engineering 117
Countries citing papers authored by Ki Hoon Song
This map shows the geographic impact of Ki Hoon Song'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 Ki Hoon Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ki Hoon Song more than expected).
Fields of papers citing papers by Ki Hoon Song
This network shows the impact of papers produced by Ki Hoon Song. 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 Ki Hoon Song. The network helps show where Ki Hoon Song may publish in the future.
Co-authorship network of co-authors of Ki Hoon Song
This figure shows the co-authorship network connecting the top 25 collaborators of Ki Hoon Song. A scholar is included among the top collaborators of Ki Hoon Song 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 Ki Hoon Song. Ki Hoon Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 5 | |
| 3 | 22 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | A Clinical and Statistical Study of Cutaneous Malignant Tumors in Busan City and the Eastern Gyeongnam Province Over 15 Years (1996~2010) | 3 |
| 9 | Vitiligo Developed in a Patient with Discoid Lupus Erythematosus. | 1 |
| 10 | Lipoblastoma: A Rare Lesion in the Elderly. | 1 |
| 11 | 11 | |
| 12 | 30 | |
| 13 | 37 | |
| 14 | 143 | |
| 15 | A Comparative Evaluation of Various Axillary Osmidrosis Treatment. | 1 |
| 16 | 1 | |
| 17 | 30 | |
| 18 | A Case of Onychomycosis due to Aureobasidium pullulans after Trauma. | 1 |
| 19 | 12 | |
| 20 | 2 |
About Ki Hoon Song
Ki Hoon Song is a scholar working on Fluid Flow and Transfer Processes, Dermatology and Media Technology, having authored 27 papers that have together received 554 indexed citations. Recurring topics across this work include Liquid Crystal Research Advancements (6 papers), Advanced Combustion Engine Technologies (5 papers) and Biodiesel Production and Applications (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (338 citations), Automotive Engineering (117 citations) and Computational Mechanics (172 citations). Ki Hoon Song has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Thomas Litzinger, Daniel C. Haworth, Robert J. Santoro, Juntao Wu, Seong-Young Lee, Milton J. Linevsky, Meredith B. Colket, David S. Liscinsky, Young-Joo Lee and G.B. Shrestha. Their work appears in journals such as IEEE Transactions on Power Systems, Optics Express and Combustion and Flame.
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.