Jun‐Seok Yeo

1.9k citations
35 papers · 1.7k · h-index 20

Impact in

Papers in

Jun‐Seok Yeo

35 papers receiving 1.7k citations

Peers

Jun‐Seok Yeo
Comparison fields: 5 of 51
  • Polymers and Plastics 1.1k
  • Electrical and Electronic Engineering 1.5k
  • Materials Chemistry 642
  • Biomedical Engineering 352
  • Electronic, Optical and Magnetic Materials 86
Replace Shahino Mah Abdullah with:
Shahino Mah Abdullah Malaysia
Shuqin Xiao China
H.P. Deshmukh India
M. Marzantowicz Poland
Jon Ajuria Spain
Guang Zeng China
Yunseong Choi South Korea
Yong Min China
Poonam Sehrawat India
Yongfen Tong China
Jun‐Seok Yeo relative to Shahino Mah Abdullah Malaysia Shahino Mah Abdullah's profile →
Citations per field
00.5×5.3×
Shahino Mah Abdullah · 1×
Citations per year

Countries citing papers authored by Jun‐Seok Yeo

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Seok Yeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Seok Yeo. 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‐Seok Yeo. The network helps show where Jun‐Seok Yeo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011358
2 2014310
3 2012169
4 2010100
5 201369
6 201366
7 201459
8 201658
9 201658
10 201642
11 201637
12 201233
13 201133
14 201632
15 201728
16 201828
17 201424
18 201922
19 201621
20 202021

About Jun‐Seok Yeo

Jun‐Seok Yeo is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Conducting polymers and applications (24 papers), Organic Electronics and Photovoltaics (23 papers), Perovskite Materials and Applications (14 papers), Quantum Dots Synthesis And Properties (6 papers), Nanowire Synthesis and Applications (4 papers), Organic Light-Emitting Diodes Research (4 papers), Graphene research and applications (4 papers) and Chalcogenide Semiconductor Thin Films (2 papers). The work is most often cited by research in Polymers and Plastics (1.1k citations), Electrical and Electronic Engineering (1.5k citations), Materials Chemistry (642 citations), Biomedical Engineering (352 citations) and Electronic, Optical and Magnetic Materials (86 citations). Jun‐Seok Yeo has collaborated with scholars based in South Korea, United States and Mauritius. Frequent co-authors include Dong‐Yu Kim, Seok‐In Na, Seok‐Soon Kim, Jin-Mun Yun, Yong‐Jin Noh, Juhwan Kim, Hyung‐Gu Jeong, Rira Kang, Jin‐Mun Yun and Bon‐Cheol Ku. Their work appears in journals such as Solar Energy Materials and Solar Cells, ACS Applied Materials & Interfaces, Nano Energy, Journal of Industrial and Engineering Chemistry and Semiconductor Science and Technology.

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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