Young Se Kwon

1.2k citations
84 papers · 884 · h-index 14

Impact in

Papers in

Young Se Kwon

78 papers receiving 843 citations

Peers

Young Se Kwon
Comparison fields: 5 of 106
  • Psychiatry and Mental health 154
  • Cellular and Molecular Neuroscience 127
  • Infectious Diseases 106
  • Behavioral Neuroscience 20
  • Pediatrics, Perinatology and Child Health 80
Replace Henrikas Vaitkevicius with:
Henrikas Vaitkevicius United States
Ke Chen China
Tommaso Tartaglione Italy
Mark J Hamamura United States
Frederic A. Gibbs United States
Masaya Yasui Japan
Amit Patel India
Irwin Walot United States
Lina Jiang China
Andrew J. Church United Kingdom
Young Se Kwon relative to Henrikas Vaitkevicius United States Henrikas Vaitkevicius's profile →
Citations per field
00.5×7.3×
Henrikas Vaitkevicius · 1×
Citations per year

Countries citing papers authored by Young Se Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Young Se Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Se Kwon. 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 Young Se Kwon. The network helps show where Young Se Kwon may publish in the future.

Co-authors

The 25 scholars most cited alongside Young Se Kwon, 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 Young Se Kwon Line = papers co-authored together Young Se Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009125
2 2001103
3 201373
4 197748
5 201347
6 200738
7 201434
8 200833
9 199828
10 201026
11 200120
12 200817
13 200316
14 198615
15 201613
16 200013
17 201313
18 202010
19 201710
20 20139

About Young Se Kwon

Young Se Kwon is a scholar working on Electrical and Electronic Engineering, Infectious Diseases, Epidemiology, Molecular Biology and Atomic and Molecular Physics, and Optics, having authored 84 papers that have together received 884 indexed citations. Recurring topics across this work include Photonic and Optical Devices (11 papers), Semiconductor Lasers and Optical Devices (9 papers), Viral gastroenteritis research and epidemiology (9 papers), 3D IC and TSV technologies (7 papers), Microwave Engineering and Waveguides (6 papers), Semiconductor Quantum Structures and Devices (6 papers), Viral Infections and Immunology Research (6 papers) and Epilepsy research and treatment (5 papers). The work is most often cited by research in Psychiatry and Mental health (154 citations), Cellular and Molecular Neuroscience (127 citations), Infectious Diseases (106 citations), Behavioral Neuroscience (20 citations) and Pediatrics, Perinatology and Child Health (80 citations). Young Se Kwon has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Don Shin, Andréy Mazarati, Eduardo Pineda, Ben Kang, Yon Ho Choe, Yun Chul Hong, Tae Sook Hwang, Stéphane Auvin, Anatol Bragin and Chenming Hu. Their work appears in journals such as Electronics Letters, Korean Journal of Pediatrics, Japanese Journal of Applied Physics, IEEE Photonics Technology Letters and Epilepsia.

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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