Jae‐Eun Shin
- Human-Computer Interaction top 2%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Atomic and Molecular Physics, and Optics
- Co-authors
- Woontack WooAlistair SutcliffeBrian GaultJeongmi LeeSri KurniawanSangwon LeeJun‐Dong ChoDonghee Shin
- Topics
- Augmented Reality Applications (12 papers)Virtual Reality Applications and Impacts (12 papers)Spatial Cognition and Navigation (4 papers)
- Cited by
- Human-Computer InteractionEnergy Engineering and Power TechnologyComputer Vision and Pattern Recognition
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Jae‐Eun Shin
37 papers receiving 416 citations
Peers
Comparison fields: 5 of 99
- Human-Computer Interaction 154
- Computer Vision and Pattern Recognition 100
- Electrical and Electronic Engineering 85
- Cognitive Neuroscience 55
- Atomic and Molecular Physics, and Optics 53
Countries citing papers authored by Jae‐Eun Shin
This map shows the geographic impact of Jae‐Eun Shin'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 Jae‐Eun Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Eun Shin more than expected).
Fields of papers citing papers by Jae‐Eun Shin
This network shows the impact of papers produced by Jae‐Eun Shin. 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 Jae‐Eun Shin. The network helps show where Jae‐Eun Shin may publish in the future.
Co-authorship network of co-authors of Jae‐Eun Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Eun Shin. A scholar is included among the top collaborators of Jae‐Eun Shin 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 Jae‐Eun Shin. Jae‐Eun Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 27 | |
| 6 | 9 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 12 | |
| 12 | 3 | |
| 13 | 10 | |
| 14 | 11 | |
| 15 | 27 | |
| 16 | 53 | |
| 17 | 10 | |
| 18 | 13 | |
| 19 | 25 | |
| 20 | 5 |
About Jae‐Eun Shin
Jae‐Eun Shin is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 38 papers that have together received 436 indexed citations. Recurring topics across this work include Augmented Reality Applications (12 papers), Virtual Reality Applications and Impacts (12 papers) and Spatial Cognition and Navigation (4 papers). The work is most often cited by research in Human-Computer Interaction (154 citations), Energy Engineering and Power Technology (19 citations) and Computer Vision and Pattern Recognition (100 citations). Jae‐Eun Shin has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Woontack Woo, Alistair Sutcliffe, Brian Gault, Jeongmi Lee, Sri Kurniawan, Sangwon Lee, Jun‐Dong Cho, Sangwon Lee, Donghee Shin and Andreas Gregoriades. Their work appears in journals such as Applied Physics Letters, Energies and Electronics Letters.
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.