Ho‐Seung Cha

500 citations
19 papers · 378 · h-index 12

Impact in

    • Gaze Tracking and Assistive Technology
    • Virtual Reality Applications and Impacts
    • Hand Gesture Recognition Systems
    • EEG and Brain-Computer Interfaces
    • Neural dynamics and brain function

Papers in

    • EEG and Brain-Computer Interfaces 14
    • Tactile and Sensory Interactions 4
    • Neural dynamics and brain function 2
    • Functional Brain Connectivity Studies 2
    • Gaze Tracking and Assistive Technology 14
    • Hand Gesture Recognition Systems 2

Ho‐Seung Cha

18 papers receiving 371 citations

Peers

Ho‐Seung Cha
Comparison fields: 5 of 65
  • Human-Computer Interaction 166
  • Cognitive Neuroscience 243
  • Cellular and Molecular Neuroscience 84
  • Signal Processing 37
  • Experimental and Cognitive Psychology 40
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Citations per year

Countries citing papers authored by Ho‐Seung Cha

Since Specialization
Citations

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

Fields of papers citing papers by Ho‐Seung Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho‐Seung Cha. 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 Ho‐Seung Cha. The network helps show where Ho‐Seung Cha may publish in the future.

Co-authors

The 23 scholars most cited alongside Ho‐Seung Cha, 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 Ho‐Seung Cha Line = papers co-authored together Ho‐Seung Cha links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201564
2 201954
3 202034
4 201733
5 201732
6 201630
7 202130
8 202018
9 201617
10 202214
11 202312
12 202311
13 20207
14 20235
15 20165
16 20215
17 20155
18 20182
19 20250

About Ho‐Seung Cha

Ho‐Seung Cha is a scholar working on Cognitive Neuroscience, Human-Computer Interaction, Cellular and Molecular Neuroscience, Biomedical Engineering and Neurology, having authored 19 papers that have together received 378 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Gaze Tracking and Assistive Technology (14 papers), Neuroscience and Neural Engineering (6 papers), Tactile and Sensory Interactions (4 papers), Muscle activation and electromyography studies (3 papers), Hand Gesture Recognition Systems (2 papers), Neural dynamics and brain function (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Human-Computer Interaction (166 citations), Cognitive Neuroscience (243 citations), Cellular and Molecular Neuroscience (84 citations), Signal Processing (37 citations) and Experimental and Cognitive Psychology (40 citations). Ho‐Seung Cha has collaborated with scholars based in South Korea and United States. Frequent co-authors include Chang‐Hwan Im, Won-Du Chang, Kiwoong Kim, Seongjun Choi, Seung Hyun Kim, Chang Hee Han, Jun‐Hak Lee, Han‐Jeong Hwang, Do Yeon Kim and Jeong‐Hwan Lim. Their work appears in journals such as Sensors, Virtual Reality, IEEE Access, Psychophysiology and Computer Methods and Programs in Biomedicine.

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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