Seong‐Wan Kim

965 total citations
45 papers, 648 citations indexed

About

Seong‐Wan Kim is a scholar working on Insect Science, Biomaterials and Computer Vision and Pattern Recognition. According to data from OpenAlex, Seong‐Wan Kim has authored 45 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Insect Science, 13 papers in Biomaterials and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Seong‐Wan Kim's work include Silk-based biomaterials and applications (11 papers), Insect Utilization and Effects (8 papers) and Silkworms and Sericulture Research (8 papers). Seong‐Wan Kim is often cited by papers focused on Silk-based biomaterials and applications (11 papers), Insect Utilization and Effects (8 papers) and Silkworms and Sericulture Research (8 papers). Seong‐Wan Kim collaborates with scholars based in South Korea, United States and Pakistan. Seong‐Wan Kim's co-authors include Earl E. Swartzlander, Sangyoun Lee, Jaeho Lee, Seong‐Ryul Kim, Jung Woo Leem, Young L. Kim, Seung Ho Choi, Min Seok Kim, Young Min Song and Robert J. Young and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Seong‐Wan Kim

42 papers receiving 632 citations

Peers

Seong‐Wan Kim
Comparison fields: 5 of 78
  • Electrical and Electronic Engineering 219
  • Computer Vision and Pattern Recognition 197
  • Signal Processing 166
  • Hardware and Architecture 127
  • Computational Theory and Mathematics 112
Replace Oğuz H. Elibol with:
Oğuz H. Elibol United States
Y. Oowaki Japan
Michael J. Beauchamp United States
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P. Van Gerwen Belgium
Florent Bernard France
Debjyoti Bhattacharjee Singapore
Jun-Young Park South Korea
Jan Sölter Germany
Oğuz H. Elibol United States View profile →
Citations per field, relative to Seong‐Wan Kim
Seong‐Wan Kim · 1×
Citations per year, relative to Seong‐Wan Kim
Seong‐Wan Kim · 1×

Countries citing papers authored by Seong‐Wan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seong‐Wan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong‐Wan Kim. 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 Seong‐Wan Kim. The network helps show where Seong‐Wan Kim may publish in the future.

Co-authorship network of co-authors of Seong‐Wan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Seong‐Wan Kim. A scholar is included among the top collaborators of Seong‐Wan Kim 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 Seong‐Wan Kim. Seong‐Wan Kim 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 4
2 2
3 1
4 2
5 3
6 1
7 2
8 1
9 8
10 7
11 8
12
Characterization of Mulberry Root Bark Extracts (Morus alba L.) Based on the Extraction Temperature and Solvent
5
13
Functional analysis of the antioxidant activity of immune-challenged Bombyx mori hemolymph extracts in the human epithelial Caco-2 cell line
0
14 7
15 180
16 0
17 10
18 9
19 48
20 8

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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