Jun Min Suh

81 papers receiving 4.7k citations

Jun Min Suh's Hit Papers

The future of two-dimensional semiconductors beyond Moore’s law 2024 · 178 citations
1780+1Years since publication50100150

Peers

Jun Min Suh
Comparison fields: 5 of 89
  • Bioengineering 734
  • Polymers and Plastics 766
  • Electrical and Electronic Engineering 3.1k
  • Renewable Energy, Sustainability and the Environment 852
  • Materials Chemistry 2.3k
Replace Dong‐Ha Kim with:
Dong‐Ha Kim South Korea
Qiang Zhao China
Xinran Zhou China
Erika Scavetta Italy
Sanjit Manohar Majhi South Korea
Li-Hua Huo China
Xiaohong Wang China
Bjørn Winther‐Jensen Australia
Jun Min Suh relative to Dong‐Ha Kim South Korea Dong‐Ha Kim's profile →
Citations per field
00.5×1.5×2.3×
Dong‐Ha Kim · 1×
Citations per year

Countries citing papers authored by Jun Min Suh

Since Specialization
Citations

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

Fields of papers citing papers by Jun Min Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Min Suh. 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 Min Suh. The network helps show where Jun Min Suh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016336
2 2019274
3 2020255
4 2019237
5
The future of two-dimensional semiconductors beyond Moore’s law
Hit paper breakdown →
2024178
6 2019155
7 2018155
8 2018153
9 2019138
10 2020136
11 2019126
12 2021116
13 2017112
14 2019107
15 2020106
16 202398
17 201890
18 202086
19 202186
20 201885

About Jun Min Suh

Jun Min Suh is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Bioengineering and Polymers and Plastics, having authored 82 papers that have together received 4.8k indexed citations. Recurring topics across this work include Gas Sensing Nanomaterials and Sensors (36 papers), Analytical Chemistry and Sensors (17 papers), Advanced Chemical Sensor Technologies (17 papers), Advanced Photocatalysis Techniques (15 papers), Transition Metal Oxide Nanomaterials (13 papers), 2D Materials and Applications (12 papers), Perovskite Materials and Applications (11 papers) and Advanced Memory and Neural Computing (10 papers). The work is most often cited by research in Bioengineering (734 citations), Polymers and Plastics (766 citations), Electrical and Electronic Engineering (3.1k citations), Renewable Energy, Sustainability and the Environment (852 citations) and Materials Chemistry (2.3k citations). Jun Min Suh has collaborated with scholars based in South Korea, United States and Czechia. Frequent co-authors include Ho Won Jang, Tae Hyung Lee, Kootak Hong, Mohammadreza Shokouhimehr, Rajender S. Varma, Kaiqiang Zhang, Ki Chang Kwon, Soo Young Kim, Kyoung Soon Choi and Seokhoon Choi. Their work appears in journals such as ACS Applied Materials & Interfaces, Sensors and Actuators B Chemical, Advanced Science, Chemical Engineering Journal and Small.

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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