Eunkyung Jo
- Human-Computer Interaction top 5%
- Artificial Intelligence
- Applied Psychology top 10%
- Sociology and Political Science
- General Health Professions
- Co-authors
- Daniel A. EpsteinYoung‐Ho KimHwajung HongAustin L. ToombsSung In KimXi LuAhreum LeeYoung-Ho Kim
- Topics
- Digital Mental Health Interventions (5 papers)Innovative Human-Technology Interaction (4 papers)Autism Spectrum Disorder Research (3 papers)
- Journals
- Proceedings of the ACM on Human-Computer InteractionJMIR Mental HealthSeoul National University Open Repository (Seoul National University)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Eunkyung Jo
13 papers receiving 250 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Human-Computer Interaction 67
- Artificial Intelligence 61
- Applied Psychology 58
- Sociology and Political Science 54
- General Health Professions 42
Countries citing papers authored by Eunkyung Jo
This map shows the geographic impact of Eunkyung Jo'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 Eunkyung Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunkyung Jo more than expected).
Fields of papers citing papers by Eunkyung Jo
This network shows the impact of papers produced by Eunkyung Jo. 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 Eunkyung Jo. The network helps show where Eunkyung Jo may publish in the future.
Co-authorship network of co-authors of Eunkyung Jo
This figure shows the co-authorship network connecting the top 25 collaborators of Eunkyung Jo. A scholar is included among the top collaborators of Eunkyung Jo 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 Eunkyung Jo. Eunkyung Jo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Interventionbreakdown → | 96 |
| 5 | 14 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 25 | |
| 9 | 14 | |
| 10 | 20 | |
| 11 | 30 | |
| 12 | 31 | |
| 13 | 6 |
About Eunkyung Jo
Eunkyung Jo is a scholar working on Applied Psychology, Human-Computer Interaction and Cognitive Neuroscience, having authored 13 papers that have together received 259 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (5 papers), Innovative Human-Technology Interaction (4 papers) and Autism Spectrum Disorder Research (3 papers). The work is most often cited by research in Health Informatics (24 citations), Human-Computer Interaction (67 citations) and Applied Psychology (58 citations). Eunkyung Jo has collaborated with scholars based in United States and South Korea. Frequent co-authors include Daniel A. Epstein, Young‐Ho Kim, Hwajung Hong, Austin L. Toombs, Sung In Kim, Xi Lu, Ahreum Lee, Young-Ho Kim, Tera L Reynolds and Xinru Page. Their work appears in journals such as Proceedings of the ACM on Human-Computer Interaction, JMIR Mental Health and Seoul National University Open Repository (Seoul National University).
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.