Hyojin Chin
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Applied Psychology top 10%
- Digital Mental Health Interventions
Papers in
-
- Hate Speech and Cyberbullying Detection 4
- AI in Service Interactions 4
-
- Social Robot Interaction and HRI 4
- Emotions and Moral Behavior 2
- Co-authors
- Mun Yong Yi (6 shared papers)Meeyoung Cha (7 shared papers)Chiyoung Cha (3 shared papers)C. G. Jung (1 shared paper)Gabriel Lima (1 shared paper)Sungkyu Park (1 shared paper)Jeong‐han Kang (1 shared paper)Uichin Lee (1 shared paper)
- Journals
- Journal of Medical Internet Research (2 papers)Behaviour and Information Technology (1 paper)International Journal of Human-Computer Interaction (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)JMIR Formative Research (1 paper)
- Partner nations
- South KoreaGermanyHong Kong
In The Last Decade
Hyojin Chin
11 papers receiving 246 citations
Hyojin Chin's Hit Papers
Peers
Comparison fields: 5 of 52
- Health Informatics 22
- Applied Psychology 64
- Artificial Intelligence 140
- Social Psychology 73
- Human-Computer Interaction 20
Countries citing papers authored by Hyojin Chin
This map shows the geographic impact of Hyojin Chin'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 Hyojin Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyojin Chin more than expected).
Fields of papers citing papers by Hyojin Chin
This network shows the impact of papers produced by Hyojin Chin. 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 Hyojin Chin. The network helps show where Hyojin Chin may publish in the future.
Co-authors
The 10 scholars most cited alongside Hyojin Chin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Potential of Chatbots for Emotional Support and Promoting Mental Well-Being in Different Cultures: Mixed Methods Study Hit paper breakdown → | 2023 | 75 |
| 2 | 2020 | 66 | |
| 3 | 2023 | 31 | |
| 4 | 2018 | 19 | |
| 5 | 2021 | 19 | |
| 6 | 2019 | 16 | |
| 7 | 2021 | 13 | |
| 8 | 2017 | 8 | |
| 9 | 2024 | 4 | |
| 10 | 2024 | 2 | |
| 11 | 2006 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2024 | 0 |
About Hyojin Chin
Hyojin Chin is a scholar working on Artificial Intelligence, Social Psychology, Sociology and Political Science, Applied Psychology and Human-Computer Interaction, having authored 15 papers that have together received 254 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (4 papers), Social Robot Interaction and HRI (4 papers), AI in Service Interactions (4 papers), Emotions and Moral Behavior (2 papers), Misinformation and Its Impacts (2 papers), Digital Mental Health Interventions (2 papers), Innovative Human-Technology Interaction (2 papers) and Behavioral Health and Interventions (1 paper). The work is most often cited by research in Health Informatics (22 citations), Applied Psychology (64 citations), Artificial Intelligence (140 citations), Social Psychology (73 citations) and Human-Computer Interaction (20 citations). Hyojin Chin has collaborated with scholars based in South Korea, Germany and Hong Kong. Frequent co-authors include Mun Yong Yi, Meeyoung Cha, Chiyoung Cha, C. G. Jung, Gabriel Lima, Sungkyu Park, Jeong‐han Kang, Uichin Lee, So-Ryong Chae and Joseph Seering. Their work appears in journals such as Journal of Medical Internet Research, Behaviour and Information Technology, International Journal of Human-Computer Interaction, Proceedings of the ACM on Human-Computer Interaction and JMIR Formative Research.
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.