Sungchul Mun

715 citations
35 papers · 381 · h-index 10

Impact in

Papers in

Sungchul Mun

31 papers receiving 363 citations

Peers

Sungchul Mun
Comparison fields: 5 of 68
  • Human-Computer Interaction 155
  • Cognitive Neuroscience 227
  • Media Technology 105
  • Social Psychology 93
  • Experimental and Cognitive Psychology 34
Replace Marc Winterbottom with:
Marc Winterbottom United States
Hiroyasu Ujike Japan
Monika Pölönen Finland
Tadahiko Fukuda Japan
Ouren X. Kuiper Netherlands
Shang-Wen Chuang Taiwan
Bochao Zou China
W. T. Lo Hong Kong
Lili Tcheang United Kingdom
Suzanne A. E. Nooij Germany
Sungchul Mun relative to Marc Winterbottom United States Marc Winterbottom's profile →
Citations per field
00.5×2.7×
Marc Winterbottom · 1×
Citations per year

Countries citing papers authored by Sungchul Mun

Since Specialization
Citations

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

Fields of papers citing papers by Sungchul Mun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Sungchul Mun, 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 Sungchul Mun Line = papers co-authored together Sungchul Mun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201282
2 201450
3 201538
4 201435
5 201531
6 201729
7 201818
8 201313
9 202112
10 202510
11
Autonomic Nervous System response affected by 3D visual fatigue evoked during watching 3D TV
20119
12 20158
13 19946
14 20126
15 20195
16 20144
17 20233
18 20153
19
Evaluation of Human Factors for the Next-Generation Displays
20132
20 20152

About Sungchul Mun

Sungchul Mun is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Media Technology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 381 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Virtual Reality Applications and Impacts (11 papers), Advanced Optical Imaging Technologies (10 papers), Visual perception and processing mechanisms (7 papers), Neural and Behavioral Psychology Studies (5 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Human-Computer Interaction (155 citations), Cognitive Neuroscience (227 citations), Media Technology (105 citations), Social Psychology (93 citations) and Experimental and Cognitive Psychology (34 citations). Sungchul Mun has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Min‐Chul Park, Sangin Park, Mincheol Whang, Eun‐Soo Kim, Sumio Yano, Eui Chul Lee, Laehyun Kim, Brian Krasner, Brian S. Garra and Shimeng Yu. Their work appears in journals such as International Journal of Psychophysiology, Sensors, Optical Engineering, International Journal of Human-Computer Interaction and International Journal of Environmental Research and Public Health.

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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