Min-Woo Kwon

768 citations
55 papers · 607 · h-index 14

Impact in

Papers in

Min-Woo Kwon

52 papers receiving 566 citations

Peers

Min-Woo Kwon
Comparison fields: 5 of 37
  • Cellular and Molecular Neuroscience 203
  • Electrical and Electronic Engineering 512
  • Media Technology 59
  • Cognitive Neuroscience 99
  • Computer Graphics and Computer-Aided Design 10
Replace Chunyan Song with:
Chunyan Song China
Morteza Hosseini United States
Yen-Kai Chen Taiwan
Albrecht Rothermel Germany
Akhil Dodda United States
Tae‐Hwan Kim South Korea
Sijie Ma Hong Kong
Rajkumar Kubendran United States
Xi Jin China
René Schüffny Germany
Min-Woo Kwon relative to Chunyan Song China Chunyan Song's profile →
Citations per field
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Chunyan Song · 1×
Citations per year

Countries citing papers authored by Min-Woo Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Min-Woo Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Woo 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 Min-Woo Kwon. The network helps show where Min-Woo Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018107
2 201668
3 201848
4 201840
5 201336
6 201734
7 201723
8 202021
9 201919
10 201919
11 201515
12 201715
13 201414
14 201913
15 201811
16 202311
17 201610
18 20229
19 20148
20 20217

About Min-Woo Kwon

Min-Woo Kwon is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence, Materials Chemistry and Cognitive Neuroscience, having authored 55 papers that have together received 607 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (32 papers), Semiconductor materials and devices (18 papers), Advancements in Semiconductor Devices and Circuit Design (18 papers), Neuroscience and Neural Engineering (15 papers), Ferroelectric and Negative Capacitance Devices (12 papers), CCD and CMOS Imaging Sensors (7 papers), Neural dynamics and brain function (6 papers) and Neural Networks and Reservoir Computing (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (203 citations), Electrical and Electronic Engineering (512 citations), Media Technology (59 citations), Cognitive Neuroscience (99 citations) and Computer Graphics and Computer-Aided Design (10 citations). Min-Woo Kwon has collaborated with scholars based in South Korea, United States and United Arab Emirates. Frequent co-authors include Byung‐Gook Park, Hyungjin Kim, Jungjin Park, Sungmin Hwang, Kyungchul Park, Jong‐Ho Lee, Seung Cheol Kim, Eun-Soo Kim, Byung-Gook Park and Sungjun Kim. Their work appears in journals such as Journal of Nanoscience and Nanotechnology, IEEE Electron Device Letters, Japanese Journal of Applied Physics, Electronics and Applied Sciences.

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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