Seongyune Choi
- Computer Science Applications top 1%
- Artificial Intelligence top 10%
- Health Informatics top 1%
- Safety Research top 5%
- Information Systems top 10%
- Topics
- Online Learning and Analytics (6 papers)Technology Adoption and User Behaviour (3 papers)Ethics and Social Impacts of AI (3 papers)
- Journals
- Education and Information TechnologiesInternational Journal of Human-Computer InteractionInteractive Learning Environments
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Seongyune Choi
13 papers receiving 487 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Computer Science Applications 248
- Artificial Intelligence 191
- Health Informatics 95
- Safety Research 79
- Information Systems 76
Countries citing papers authored by Seongyune Choi
This map shows the geographic impact of Seongyune Choi'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 Seongyune Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seongyune Choi more than expected).
Fields of papers citing papers by Seongyune Choi
This network shows the impact of papers produced by Seongyune Choi. 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 Seongyune Choi. The network helps show where Seongyune Choi may publish in the future.
Co-authorship network of co-authors of Seongyune Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Seongyune Choi. A scholar is included among the top collaborators of Seongyune Choi 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 Seongyune Choi. Seongyune Choi 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 | 5 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | A systematic review of research on speech-recognition chatbots for language learning: Implications for future directions in the era of large language modelsbreakdown → | 84 |
| 6 | 72 | |
| 7 | Influence of Pedagogical Beliefs and Perceived Trust on Teachers’ Acceptance of Educational Artificial Intelligence Toolsbreakdown → | 150 |
| 8 | 2 | |
| 9 | 48 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 61 | |
| 13 | 6 | |
| 14 | 63 |
About Seongyune Choi
Seongyune Choi is a scholar working on Computer Science Applications, Information Systems and Management and Safety Research, having authored 14 papers that have together received 511 indexed citations. Recurring topics across this work include Online Learning and Analytics (6 papers), Technology Adoption and User Behaviour (3 papers) and Ethics and Social Impacts of AI (3 papers). The work is most often cited by research in Health Informatics (95 citations), Computer Science Applications (248 citations) and Information Systems and Management (75 citations). Seongyune Choi has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hyeoncheol Kim, Yeonju Jang, Seongyong Lee, Jaeho Jeon, Woojin Kim, Woo Jin Kim and Soohwan Kim. Their work appears in journals such as Education and Information Technologies, International Journal of Human-Computer Interaction and Interactive Learning Environments.
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.