Se-Un Shin

521 citations
36 papers · 379 · h-index 11

Impact in

Papers in

Se-Un Shin

35 papers receiving 375 citations

Peers

Se-Un Shin
Comparison fields: 5 of 33
  • Automotive Engineering 86
  • Electrical and Electronic Engineering 361
  • Biomedical Engineering 92
  • Mechanical Engineering 47
  • Cellular and Molecular Neuroscience 21
Replace Shiquan Fan with:
Shiquan Fan China
Yang Jiang Macao
Zhuochao Sun Singapore
Jun‐Suk Bang South Korea
Quan Sun China
Jiacheng Li China
Lei Dong China
Vincent W. Ng United States
Shaul Ozeri Israel
Yanqi Zheng China
Se-Un Shin relative to Shiquan Fan China Shiquan Fan's profile →
Citations per field
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Shiquan Fan · 1×
Citations per year

Countries citing papers authored by Se-Un Shin

Since Specialization
Citations

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

Fields of papers citing papers by Se-Un Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Se-Un Shin. 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 Se-Un Shin. The network helps show where Se-Un Shin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201743
2 201940
3 201835
4 202030
5 201828
6 201923
7 202221
8 202020
9 201518
10 201816
11 202110
12 202210
13 20159
14 20228
15 20198
16 20225
17 20235
18 20235
19 20224
20 20234

About Se-Un Shin

Se-Un Shin is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Automotive Engineering, Mechanical Engineering and Control and Systems Engineering, having authored 36 papers that have together received 379 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (18 papers), Wireless Power Transfer Systems (11 papers), Analog and Mixed-Signal Circuit Design (8 papers), Energy Harvesting in Wireless Networks (8 papers), Silicon Carbide Semiconductor Technologies (8 papers), Multilevel Inverters and Converters (7 papers), Advanced Battery Technologies Research (7 papers) and Innovative Energy Harvesting Technologies (7 papers). The work is most often cited by research in Automotive Engineering (86 citations), Electrical and Electronic Engineering (361 citations), Biomedical Engineering (92 citations), Mechanical Engineering (47 citations) and Cellular and Molecular Neuroscience (21 citations). Se-Un Shin has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Gyu‐Hyeong Cho, Hyung‐Min Lee, Sung‐Wan Hong, Sung‐Won Choi, Yong-Min Ju, Jun‐Suk Bang, Hyun‐Sik Kim, Ki-Duk Kim, Seungchul Jung and Sang‐Hui Park. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Journal of Solid-State Circuits, Journal of Electronic Materials, Energies and Electronics.

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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