Eunhee Chang

1.2k citations
17 papers · 717 indexed · 1 hit paper · h-index 8

Eunhee Chang

16 papers receiving 700 citations

Hit Papers

Virtual Reality Sickness: A Review of Causes and Measurem...5442020202620222024100200300400500

Peers

Eunhee Chang
Comparison fields: 5 of 108
  • Human-Computer Interaction 476
  • Cognitive Neuroscience 171
  • Media Technology 75
  • Computer Vision and Pattern Recognition 170
  • Rehabilitation 47
Replace Mungyeong Choe with:
Mungyeong Choe South Korea
Wenge Xu China
Cali Fidopiastis United States
Amanda Moody Australia
Sophie Kenny Canada
Christian J. Jerome United States
Ancrêt Szpak Australia
Jonas Schild Germany
Lisa Rebenitsch United States
Séamas Weech Canada
Eunhee Chang relative to Mungyeong Choe South Korea Mungyeong Choe's profile →
Citations per field
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Mungyeong Choe · 1×
Citations per year

Countries citing papers authored by Eunhee Chang

Since Specialization
Citations

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

Fields of papers citing papers by Eunhee Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Eunhee Chang, 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 Eunhee Chang Line = papers co-authored together Eunhee Chang links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20250
2 20251
3 20245
4 202324
5 202313
6 20232
7 20234
8 20228
9 202148
10
Virtual Reality Sickness: A Review of Causes and Measurementsbreakdown →
2020544
11 20193
12 20191
13 201812
14 201717
15 201332
16 20121
17
Rigidity and aging: do we become more rigid in our ideas as we age?
19932

About Eunhee Chang

Eunhee Chang is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Media Technology, Cognitive Neuroscience and Marketing, having authored 17 papers that have together received 717 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (11 papers), Augmented Reality Applications (5 papers), Neural and Behavioral Psychology Studies (3 papers), Teleoperation and Haptic Systems (3 papers), Advanced Optical Imaging Technologies (3 papers), Image and Video Quality Assessment (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Mind wandering and attention (2 papers). The work is most often cited by research in Human-Computer Interaction (476 citations), Cognitive Neuroscience (171 citations), Media Technology (75 citations), Computer Vision and Pattern Recognition (170 citations) and Rehabilitation (47 citations). Eunhee Chang has collaborated with scholars based in South Korea, Australia and New Zealand. Frequent co-authors include Byounghyun Yoo, Hyun Taek Kim, Mark Billinghurst, Changhoon Park, Hyeonjin Jeon, Ji Woon Jeong, Joon Hyuk Park, Hyoung Joong Kim, Jonathon Derek Hart and Hyemin Kim. Their work appears in journals such as International Journal of Human-Computer Interaction, Virtual Reality, Journal of Computational Design and Engineering, Frontiers in Human Neuroscience and Frontiers in Psychology.

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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