Kwangsun Song

582 citations
14 papers · 501 indexed · h-index 11
Topics
Advanced Sensor and Energy Harvesting Materials (8 papers)Neuroscience and Neural Engineering (5 papers)solar cell performance optimization (4 papers)
Partner nations
South KoreaUnited States

In The Last Decade

Kwangsun Song

14 papers receiving 484 citations

Peers

Kwangsun Song
Comparison fields: 5 of 66
  • Biomedical Engineering 314
  • Electrical and Electronic Engineering 221
  • Cellular and Molecular Neuroscience 106
  • Polymers and Plastics 71
  • Mechanical Engineering 60
Replace Jaehee Lee with:
Jaehee Lee South Korea
Kyoko Masui Japan
Sanghyuk Byun South Korea
Daniel Soltman United States
William R. Barnes United States
Yiying Liu China
WooSeok Choi South Korea
John Sparkman United States
Wenyu Wang China
Pui Mun Lee Singapore
Kwangsun Song relative to Jaehee Lee South Korea Jaehee Lee's profile →
Citations per field
00.5×2.7×
Jaehee Lee · 1×
Citations per year

Countries citing papers authored by Kwangsun Song

Since Specialization
Citations

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

Fields of papers citing papers by Kwangsun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kwangsun Song

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 14
2 3
3 7
4 20
5 18
6 43
7 38
8 49
9 59
10 126
11 17
12 43
13 9
14 55

About Kwangsun Song

Kwangsun Song is a scholar working on Cellular and Molecular Neuroscience, Biomedical Engineering and Management of Technology and Innovation, having authored 14 papers that have together received 501 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (8 papers), Neuroscience and Neural Engineering (5 papers) and solar cell performance optimization (4 papers). The work is most often cited by research in Biomedical Engineering (314 citations), Cellular and Molecular Neuroscience (106 citations) and Polymers and Plastics (71 citations). Kwangsun Song has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jongho Lee, Namyun Kim, Juho Kim, Tae‐Hoon Lim, Jung Hyun Han, Youngbae Kim, Jinjoo Lee, Hyuck Choo, Sung Yang and Sungho Shin. Their work appears in journals such as Applied Physics Letters, Langmuir and ACS Applied Materials & Interfaces.

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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