Jun-Su Kang

658 total citations
22 papers, 505 citations indexed

About

Jun-Su Kang is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Jun-Su Kang has authored 22 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Cognitive Neuroscience and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Jun-Su Kang's work include EEG and Brain-Computer Interfaces (6 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). Jun-Su Kang is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). Jun-Su Kang collaborates with scholars based in South Korea, Japan and Italy. Jun-Su Kang's co-authors include Wan Kyun Chung, Minho Lee, Hee‐Gyeong Yi, Yeong‐Jin Choi, Dong‐Woo Cho, Young Jin Heo, Dong‐Yeon Kim, Young Joon Jun, Jong‐Won Rhie and Ju‐Yong Lee and has published in prestigious journals such as Biomaterials, Scientific Reports and Lab on a Chip.

In The Last Decade

Jun-Su Kang

20 papers receiving 498 citations

Peers

Jun-Su Kang
Comparison fields: 5 of 86
  • Biomedical Engineering 297
  • Surgery 124
  • Automotive Engineering 110
  • Molecular Biology 96
  • Cognitive Neuroscience 92
Replace Nebras Sobahi with:
Nebras Sobahi Saudi Arabia
Hamza Abu Owida Jordan
Yafeng Yu China
Chris S. Bjornsson United States
Yun-Hsuan Chen Taiwan
Bianca Migliori United States
Fabrice O. Morin Japan
Ji-Soo Park South Korea
Tzai-Wen Chiu Taiwan
Nebras Sobahi Saudi Arabia View profile →
Citations per field, relative to Jun-Su Kang
Jun-Su Kang · 1×
Citations per year, relative to Jun-Su Kang
Jun-Su Kang · 1×

Countries citing papers authored by Jun-Su Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Su Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Su 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 Jun-Su Kang. The network helps show where Jun-Su Kang may publish in the future.

Co-authorship network of co-authors of Jun-Su Kang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 26
4 248
5 37
6 72
7 3
8 15
9 3
10 19
11 8
12 14
13 27
14 1
15 4
16 3
17 1
18 0
19 13
20 1

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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