Hyeonseong Kim

449 citations
21 papers · 304 indexed · h-index 9
Topics
Multilevel Inverters and Converters (4 papers)Advanced Neural Network Applications (4 papers)Sensorless Control of Electric Motors (4 papers)
Partner nations
South KoreaCanadaChina

In The Last Decade

Hyeonseong Kim

16 papers receiving 296 citations

Peers

Hyeonseong Kim
Comparison fields: 5 of 46
  • Computer Vision and Pattern Recognition 86
  • Artificial Intelligence 85
  • Computational Mechanics 83
  • Electrical and Electronic Engineering 73
  • Mechanical Engineering 72
Replace Daisuke Tanaka with:
Daisuke Tanaka Japan
Daniel Lee United States
Yin Wu Switzerland
Jaesung Oh South Korea
Changhao Wang United States
Jiawei Fu China
Alexander Clegg United States
Felix Schill Switzerland
Ling Luo China
Hyeonseong Kim relative to Daisuke Tanaka Japan Daisuke Tanaka's profile →
Citations per field
00.5×2.7×
Daisuke Tanaka · 1×
Citations per year

Countries citing papers authored by Hyeonseong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hyeonseong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyeonseong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeonseong Kim. A scholar is included among the top collaborators of Hyeonseong 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 Hyeonseong Kim. Hyeonseong 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
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 2
6 1
7 11
8 3
9 0
10 8
11 0
12 17
13 2
14 2
15 89
16 2
17 31
18 52
19 26
20 38

About Hyeonseong Kim

Hyeonseong Kim is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 21 papers that have together received 304 indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (4 papers), Advanced Neural Network Applications (4 papers) and Sensorless Control of Electric Motors (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (86 citations), Computational Mechanics (83 citations) and Artificial Intelligence (85 citations). Hyeonseong Kim has collaborated with scholars based in South Korea, Canada and China. Frequent co-authors include Daegyoum Kim, Kuk‐Jin Yoon, Sung-Hoon Yoon, Qitao Zhou, Il‐Kwon Oh, Kibok Lee, Hoyoung Tang, Jongsun Park, Kuk-Jin Yoon and Heonyoung Kim. Their work appears in journals such as Advanced Functional Materials, Journal of Fluid Mechanics and Chemical Engineering Journal.

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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