Sung-Oong Kang

623 citations
25 papers · 546 indexed · h-index 15
Topics
Advanced Memory and Neural Computing (13 papers)Ferroelectric and Negative Capacitance Devices (6 papers)Transition Metal Oxide Nanomaterials (6 papers)
Partner nations
South KoreaUnited States

In The Last Decade

Sung-Oong Kang

25 papers receiving 536 citations

Peers

Sung-Oong Kang
Comparison fields: 5 of 34
  • Electrical and Electronic Engineering 425
  • Materials Chemistry 284
  • Polymers and Plastics 173
  • Cellular and Molecular Neuroscience 85
  • Electronic, Optical and Magnetic Materials 51
Replace Taeho Moon with:
Taeho Moon South Korea
Ji‐Hyun Hur South Korea
Seung Wook Ryu South Korea
Kalyani D. Kadam South Korea
M.Y. Nadeem Pakistan
Sreekanth Ginnaram Taiwan
Alexander Zintler Germany
Manveer Singh Munde United Kingdom
Siew Lay Lim Singapore
Frank Verbakel Netherlands
Sung-Oong Kang relative to Taeho Moon South Korea Taeho Moon's profile →
Citations per field
00.5×2.8×
Taeho Moon · 1×
Citations per year

Countries citing papers authored by Sung-Oong Kang

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Oong Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Oong Kang. 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 Sung-Oong Kang. The network helps show where Sung-Oong Kang may publish in the future.

Co-authorship network of co-authors of Sung-Oong Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Oong Kang. A scholar is included among the top collaborators of Sung-Oong Kang 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 Sung-Oong Kang. Sung-Oong Kang 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
#WorkIndexed citations
1 7
2 6
3 30
4 16
5 41
6 16
7 19
8 13
9 17
10 63
11 32
12 33
13 2
14 8
15 25
16 3
17 35
18 2
19 12
20 1

About Sung-Oong Kang

Sung-Oong Kang is a scholar working on Polymers and Plastics, Materials Chemistry and Electrical and Electronic Engineering, having authored 25 papers that have together received 546 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Ferroelectric and Negative Capacitance Devices (6 papers) and Transition Metal Oxide Nanomaterials (6 papers). The work is most often cited by research in Polymers and Plastics (173 citations), Electrical and Electronic Engineering (425 citations) and Materials Chemistry (284 citations). Sung-Oong Kang has collaborated with scholars based in South Korea and United States. Frequent co-authors include Bae Ho Park, Jin Sik Choi, Yong‐Il Kim, Sahwan Hong, Inrok Hwang, Jinsoo Kim, Hoon-Sik Jang, Myoung‐Jae Lee, I. R. Hwang and Ik-Su Byun. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Nanoscale.

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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