Chaebeen Kwon

409 citations
21 papers · 317 · h-index 9

Impact in

Papers in

Chaebeen Kwon

20 papers receiving 314 citations

Peers

Chaebeen Kwon
Comparison fields: 5 of 38
  • Polymers and Plastics 120
  • Biomedical Engineering 224
  • Cognitive Neuroscience 63
  • Cellular and Molecular Neuroscience 43
  • Electrical and Electronic Engineering 98
Replace Chihyeong Won with:
Chihyeong Won South Korea
Xian Song China
Haotian Guo China
Congqi Yang South Korea
Fengjiao Pan United States
Junfeng Cao China
Jialiang Yin Australia
Ha Uk Chung United States
Tianci Huang China
Chaebeen Kwon relative to Chihyeong Won South Korea Chihyeong Won's profile →
Citations per field
00.5×1.5×
Chihyeong Won · 1×
Citations per year

Countries citing papers authored by Chaebeen Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Chaebeen Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202076
2 202045
3 202335
4 202228
5 202425
6 202025
7 202322
8 202121
9 202213
10 20245
11 20255
12 20224
13 20203
14 20242
15 20232
16 20252
17 20241
18 20221
19 20241
20 20201

About Chaebeen Kwon

Chaebeen Kwon is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Polymers and Plastics, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 317 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (10 papers), Conducting polymers and applications (5 papers), Neuroscience and Neural Engineering (3 papers), Phase-change materials and chalcogenides (3 papers), Transition Metal Oxide Nanomaterials (3 papers), Advanced Memory and Neural Computing (3 papers), Advanced Thermoelectric Materials and Devices (3 papers) and Chalcogenide Semiconductor Thin Films (2 papers). The work is most often cited by research in Polymers and Plastics (120 citations), Biomedical Engineering (224 citations), Cognitive Neuroscience (63 citations), Cellular and Molecular Neuroscience (43 citations) and Electrical and Electronic Engineering (98 citations). Chaebeen Kwon has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Chihyeong Won, Taeyoon Lee, Minkyu Lee, Kukro Yoon, Kyung‐In Jang, Jaehong Lee, Seung-Min Lee, Sanghyeon Lee, Janghoon Woo and Sungjoon Cho. Their work appears in journals such as Advanced Functional Materials, Journal of Alloys and Compounds, ACS Applied Materials & Interfaces, ACS Sensors and Biomedicines.

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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