Sukyoung Won

606 total citations
26 papers, 499 citations indexed

About

Sukyoung Won is a scholar working on Biomedical Engineering, Mechanical Engineering and Condensed Matter Physics. According to data from OpenAlex, Sukyoung Won has authored 26 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 18 papers in Mechanical Engineering and 11 papers in Condensed Matter Physics. Recurrent topics in Sukyoung Won's work include Advanced Sensor and Energy Harvesting Materials (13 papers), Advanced Materials and Mechanics (13 papers) and Micro and Nano Robotics (11 papers). Sukyoung Won is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (13 papers), Advanced Materials and Mechanics (13 papers) and Micro and Nano Robotics (11 papers). Sukyoung Won collaborates with scholars based in South Korea, United States and Belgium. Sukyoung Won's co-authors include Jeong Jae Wie, Jeong Eun Park, Jisoo Jeon, Sanha Kim, Zahyun Ku, Sei Jin Park, Hyoung‐Joon Jin, Woongbi Cho, A. John Hart and Kwang Hee Lee and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sukyoung Won

25 papers receiving 495 citations

Peers

Sukyoung Won
Comparison fields: 5 of 47
  • Biomedical Engineering 303
  • Mechanical Engineering 280
  • Condensed Matter Physics 194
  • Polymers and Plastics 76
  • Electrical and Electronic Engineering 73
Replace Paolo Testa with:
Paolo Testa Switzerland
Chen Jin China
Maria C. Chiappelli United States
Woongbi Cho South Korea
Kaiyang Wang United States
Reza Ahmed United States
Dongchang Zheng China
Pengju Shi United States
Raja Annapooranan United States
Qixiao Ji China
Paolo Testa Switzerland View profile →
Citations per field, relative to Sukyoung Won
Sukyoung Won · 1×
Citations per year, relative to Sukyoung Won
Sukyoung Won · 1×

Countries citing papers authored by Sukyoung Won

Since Specialization
Citations

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

Fields of papers citing papers by Sukyoung Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukyoung Won

This figure shows the co-authorship network connecting the top 25 collaborators of Sukyoung Won. A scholar is included among the top collaborators of Sukyoung Won based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sukyoung Won. Sukyoung Won is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 2
4 1
5 2
6 11
7 11
8 9
9 14
10 17
11 37
12 39
13 12
14 52
15 31
16 8
17 44
18 68
19 47
20 2

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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