Mungyeong Choe
- Human-Computer Interaction top 0.5%
- Social Psychology top 10%
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Media Technology top 5%
- Co-authors
- Jaehyun ParkHyun K. KimJung‐Chul ParkKyeong ParkMyounghoon JeonJungyoon KimJaeyong ChungChristophe Jallais
- Topics
- Human-Automation Interaction and Safety (6 papers)Ergonomics and Musculoskeletal Disorders (5 papers)Gaze Tracking and Assistive Technology (4 papers)
- Journals
- IEEE AccessInternational Journal of Environmental Research and Public HealthApplied Sciences
- Partner nations
- South KoreaUnited StatesAustralia
In The Last Decade
Mungyeong Choe
14 papers receiving 663 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Human-Computer Interaction 439
- Social Psychology 174
- Computer Vision and Pattern Recognition 162
- Cognitive Neuroscience 140
- Media Technology 60
Countries citing papers authored by Mungyeong Choe
This map shows the geographic impact of Mungyeong Choe'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 Mungyeong Choe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mungyeong Choe more than expected).
Fields of papers citing papers by Mungyeong Choe
This network shows the impact of papers produced by Mungyeong Choe. 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 Mungyeong Choe. The network helps show where Mungyeong Choe may publish in the future.
Co-authorship network of co-authors of Mungyeong Choe
This figure shows the co-authorship network connecting the top 25 collaborators of Mungyeong Choe. A scholar is included among the top collaborators of Mungyeong Choe 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 Mungyeong Choe. Mungyeong Choe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 29 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | Virtual reality sickness questionnaire (VRSQ): Motion sickness measurement index in a virtual reality environmentbreakdown → | 586 |
| 13 | 29 | |
| 14 | 6 | |
| 15 | 4 |
About Mungyeong Choe
Mungyeong Choe is a scholar working on Human-Computer Interaction, Social Psychology and Cognitive Neuroscience, having authored 15 papers that have together received 681 indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (6 papers), Ergonomics and Musculoskeletal Disorders (5 papers) and Gaze Tracking and Assistive Technology (4 papers). The work is most often cited by research in Human-Computer Interaction (439 citations), Social Psychology (174 citations) and Computer Vision and Pattern Recognition (162 citations). Mungyeong Choe has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Jaehyun Park, Hyun K. Kim, Jung‐Chul Park, Kyeong Park, Myounghoon Jeon, Jungyoon Kim, Jaeyong Chung, Christophe Jallais, Jangwoon Park and Michael Oehl. Their work appears in journals such as IEEE Access, International Journal of Environmental Research and Public Health and Applied Sciences.
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.