Seyun Kim

799 citations
36 papers · 525 indexed · 1 hit paper · h-index 10

Seyun Kim

31 papers receiving 503 citations

Hit Papers

How social media engagement leads to sports channel loyal...191201520262018202250100150

Peers

Seyun Kim
Comparison fields: 5 of 101
  • Computational Mathematics 10
  • Information Systems and Management 59
  • Marketing 57
  • Computer Vision and Pattern Recognition 118
  • Communication 31
Replace Sungjin Hong with:
Sungjin Hong United States
Wonil Hwang South Korea
Benjamin N. Waber United States
Keith S. Jones United States
Bo Cheng China
Heejune Ahn South Korea
Gokul Chittaranjan Switzerland
Timothy E. Goldsmith United States
Nadav Aharony United States
Seyun Kim relative to Sungjin Hong United States Sungjin Hong's profile →
Citations per field
00.5×5.2×
Sungjin Hong · 1×
Citations per year

Countries citing papers authored by Seyun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seyun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Seyun Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seyun Kim Line = papers co-authored together Seyun Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202345
2 20237
3 20231
4 20222
5 20226
6 202111
7 20219
8 20200
9 20204
10 20194
11 20193
12 20196
13 20180
14 201826
15
How social media engagement leads to sports channel loyalty: Mediating roles of social presence and channel commitmentbreakdown →
2015191
16 201446
17 20123
18 20105
19
The influence of corporate social responsibility with professional baseball's title sponsor on using intention of title sponsor's product
20101
20
The relationship among the title sponsorship motives, sponsor trust, sponsor image, and purchase intention of professional baseball spectators
20090

About Seyun Kim

Seyun Kim is a scholar working on Computational Mathematics, Transportation and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 525 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (5 papers), Image and Signal Denoising Methods (5 papers), Air Traffic Management and Optimization (3 papers), Diverse Approaches in Healthcare and Education Studies (3 papers), Human Mobility and Location-Based Analysis (3 papers), Heart Rate Variability and Autonomic Control (3 papers), Diverse Topics in Contemporary Research (3 papers) and Sleep and Work-Related Fatigue (3 papers). The work is most often cited by research in Computational Mathematics (10 citations), Information Systems and Management (59 citations) and Marketing (57 citations). Seyun Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Frank Biocca, Joon Soo Lim, Nam Ik Cho, Yoonjin Yoon, Jae-Han Lee, Young Jae Jang, U Kang, Wonjong Rhee, Malte Jung and Ryan Bottary. Their work appears in journals such as IEEE Transactions on Image Processing, Computers in Human Behavior and IEEE Access.

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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