Daewon Chung

75 papers receiving 817 citations

Peers

Daewon Chung
Comparison fields: 5 of 119
  • Polymers and Plastics 138
  • Computational Mathematics 4
  • Automotive Engineering 73
  • Electrical and Electronic Engineering 314
  • Signal Processing 55
Replace K. G. Subramanian with:
K. G. Subramanian India
Alfredo Quijano-López Spain
Woojoo Lee South Korea
Guohui Wang China
Haiquan Wang China
Xiaoyan Deng China
Yuan Xiao China
Weijia Li China
Sattam Al Otaibi Saudi Arabia
Hyunju Kim South Korea
Daewon Chung relative to K. G. Subramanian India K. G. Subramanian's profile →
Citations per field
00.5×
K. G. Subramanian · 1×
Citations per year

Countries citing papers authored by Daewon Chung

Since Specialization
Citations

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

Fields of papers citing papers by Daewon Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daewon Chung. 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 Daewon Chung. The network helps show where Daewon Chung may publish in the future.

Co-authors

The 25 scholars most cited alongside Daewon Chung, 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 Daewon Chung Line = papers co-authored together Daewon Chung 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 201976
2 202245
3 202237
4 201135
5 201135
6 202232
7 200230
8 202030
9 200029
10 202227
11 202124
12 201524
13 202421
14 201421
15 201120
16 200120
17 201019
18 201519
19 201418
20
Study on the Effect of Platinum Catalyst for the Synthesis of Polydimethylsiloxane Grafted with Polyoxyethylene
200715

About Daewon Chung

Daewon Chung is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics, Biomedical Engineering, Materials Chemistry and Artificial Intelligence, having authored 82 papers that have together received 861 indexed citations. Recurring topics across this work include Conducting polymers and applications (17 papers), Advanced Sensor and Energy Harvesting Materials (12 papers), Advanced Memory and Neural Computing (9 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Graphene research and applications (5 papers), Tea Polyphenols and Effects (5 papers), Organic Electronics and Photovoltaics (5 papers) and Neuroscience and Neural Engineering (5 papers). The work is most often cited by research in Polymers and Plastics (138 citations), Computational Mathematics (4 citations), Automotive Engineering (73 citations), Electrical and Electronic Engineering (314 citations) and Signal Processing (55 citations). Daewon Chung has collaborated with scholars based in South Korea, United States and Brazil. Frequent co-authors include Yong-Min You, Sungjun Kim, Tae-Hyun Nam, Simon S. Woo, Youjin Shin, Shahroz Tariq, Sang Yup Lee, María Cristina Pereyra, Seul Bi Lee and Jong Choo Lim. Their work appears in journals such as Journal of Industrial and Engineering Chemistry, Journal of Applied Polymer Science, Synthetic Metals, Journal of the Science of Food and Agriculture and Journal of Materials Science.

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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