Seongmin Hong

762 citations
50 papers · 431 indexed · h-index 10
Topics
Guidance and Control Systems (12 papers)Military Defense Systems Analysis (6 papers)Advanced Neural Network Applications (6 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBiochemical and Biophysical Research Communications

In The Last Decade

Seongmin Hong

44 papers receiving 399 citations

Peers

Seongmin Hong
Comparison fields: 5 of 75
  • Aerospace Engineering 145
  • Artificial Intelligence 122
  • Computer Networks and Communications 83
  • Electrical and Electronic Engineering 67
  • Computer Vision and Pattern Recognition 66
Replace Babak Salamat with:
Babak Salamat Austria
O. Üreten Canada
Zhuangzhi Chen China
F. Bourgeois Switzerland
N. Serinken Canada
Yoshiki Yamaguchi Japan
Yuichiro Shibata Japan
Gunjan Verma United States
Paul Yu United States
Kai Mao China
Seongmin Hong relative to Babak Salamat Austria Babak Salamat's profile →
Citations per field
00.5×3.8×
Babak Salamat · 1×
Citations per year

Countries citing papers authored by Seongmin Hong

Since Specialization
Citations

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

Fields of papers citing papers by Seongmin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seongmin Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Seongmin Hong. A scholar is included among the top collaborators of Seongmin Hong 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 Seongmin Hong. Seongmin Hong 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
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3 4
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9 11
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14 1
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Parallelized Scalar Multiplication on Elliptic Curves Defined over Optimal Extension Field
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Active Trial-and-error Attack on SASC Protocols
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18
Analysis of Hydraulic Characteristics Using SMS RMA2 and SED2D Model in the Downstream of Gyeongan-Cheon
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Magnetic Properties of Bilayer Co / Fe - based Amorphous Ribbons Prepared by Single Melt - Spun Method
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About Seongmin Hong

Seongmin Hong is a scholar working on Aerospace Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 431 indexed citations. Recurring topics across this work include Guidance and Control Systems (12 papers), Military Defense Systems Analysis (6 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Aerospace Engineering (145 citations), Hardware and Architecture (34 citations) and Artificial Intelligence (122 citations). Seongmin Hong has collaborated with scholars based in South Korea, United Kingdom and Switzerland. Frequent co-authors include Min-Jea Tahk, Sang-Wook Shim, Joo-Young Kim, Chang-Hun Lee, Han‐Lim Choi, Junsoo Kim, Suseong Kim, Jung Hee Cheon, H. Jin Kim and Hyungbo Shim. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical and Biophysical Research Communications.

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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