Soojin Jun
- Computer Science Applications top 5%
- Artificial Intelligence
- Social Psychology
- Human-Computer Interaction top 10%
- Information Systems
- Co-authors
- Joonhwan LeeScott E. HudsonJodi ForlizziHyunmin KangDong-Hoon ShinSeokwoo SongJinwoo KimJisoo Park
- Topics
- Education and Learning Interventions (15 papers)Educational Systems and Policies (13 papers)Educational Research and Pedagogy (9 papers)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Soojin Jun
29 papers receiving 245 citations
Peers
Comparison fields: 5 of 63
- Computer Science Applications 64
- Artificial Intelligence 58
- Social Psychology 55
- Human-Computer Interaction 44
- Information Systems 42
Countries citing papers authored by Soojin Jun
This map shows the geographic impact of Soojin Jun'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 Soojin Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soojin Jun more than expected).
Fields of papers citing papers by Soojin Jun
This network shows the impact of papers produced by Soojin Jun. 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 Soojin Jun. The network helps show where Soojin Jun may publish in the future.
Co-authorship network of co-authors of Soojin Jun
This figure shows the co-authorship network connecting the top 25 collaborators of Soojin Jun. A scholar is included among the top collaborators of Soojin Jun 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 Soojin Jun. Soojin Jun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 50 | |
| 15 | Study on Interactive Media Installation of Ecological Museum as Educational Exhibit Contents with Experimental Environment - Focused on the - | 1 |
| 16 | 21 | |
| 17 | 3 | |
| 18 | Design Guidelines for Motion Infographics as Persuasive Communication | 0 |
| 19 | Design Guidelines and Recommendations for In-Vehicle Navigation Systems | 5 |
| 20 | Online Pair-Programming for Learning Programming of Novices | 8 |
About Soojin Jun
Soojin Jun is a scholar working on Human-Computer Interaction, Information Systems and Safety Research, having authored 45 papers that have together received 276 indexed citations. Recurring topics across this work include Education and Learning Interventions (15 papers), Educational Systems and Policies (13 papers) and Educational Research and Pedagogy (9 papers). The work is most often cited by research in Computer Science Applications (64 citations), Human-Computer Interaction (44 citations) and Occupational Therapy (18 citations). Soojin Jun has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Joonhwan Lee, Scott E. Hudson, Jodi Forlizzi, Hyunmin Kang, Dong-Hoon Shin, Seokwoo Song, Jinwoo Kim, Jisoo Park, Sangmi Kim and Chiwon Lee. Their work appears in journals such as Computers in Human Behavior, Human-Computer Interaction and Behaviour and Information Technology.
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.