Youngseo Son
Impact in
- Applied Psychology top 10%
- Digital Mental Health Interventions
- Social Psychology top 10%
- Mental Health via Writing
Papers in
-
- Sentiment Analysis and Opinion Mining 5
- Topic Modeling 3
- Natural Language Processing Techniques 2
- Advanced Graph Neural Networks 1
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- Mental Health via Writing 3
- Co-authors
- H. Andrew Schwartz (9 shared papers)Simine Vazire (1 shared paper)Margaret L. Kern (1 shared paper)Jessie Sun (1 shared paper)Sharath Chandra Guntuku (1 shared paper)Huy Quan Vu (1 shared paper)Mohammad Zamani (1 shared paper)Niranjan Balasubramanian (1 shared paper)
- Journals
- Psychological Medicine (2 papers)Journal of Personality and Social Psychology (1 paper)Journal of Psychiatric Research (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Youngseo Son
9 papers receiving 219 citations
Peers
Comparison fields: 5 of 38
- Applied Psychology 48
- Social Psychology 114
- Experimental and Cognitive Psychology 52
- Artificial Intelligence 97
- General Social Sciences 8
Countries citing papers authored by Youngseo Son
This map shows the geographic impact of Youngseo Son'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 Youngseo Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngseo Son more than expected).
Fields of papers citing papers by Youngseo Son
This network shows the impact of papers produced by Youngseo Son. 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 Youngseo Son. The network helps show where Youngseo Son may publish in the future.
Co-authors
The 21 scholars most cited alongside Youngseo Son, 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 | 2019 | 76 | |
| 2 | 2019 | 60 | |
| 3 | 2017 | 29 | |
| 4 | 2021 | 17 | |
| 5 | 2022 | 17 | |
| 6 | 2017 | 16 | |
| 7 | 2018 | 7 | |
| 8 | 2021 | 5 | |
| 9 | 2022 | 4 |
About Youngseo Son
Youngseo Son is a scholar working on Artificial Intelligence, Social Psychology, Clinical Psychology, Sociology and Political Science and Experimental and Cognitive Psychology, having authored 9 papers that have together received 231 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (5 papers), Mental Health via Writing (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Advanced Graph Neural Networks (1 paper), Suicide and Self-Harm Studies (1 paper), Mental Health Research Topics (1 paper) and Misinformation and Its Impacts (1 paper). The work is most often cited by research in Applied Psychology (48 citations), Social Psychology (114 citations), Experimental and Cognitive Psychology (52 citations), Artificial Intelligence (97 citations) and General Social Sciences (8 citations). Youngseo Son has collaborated with scholars based in United States and Australia. Frequent co-authors include H. Andrew Schwartz, Simine Vazire, Margaret L. Kern, Jessie Sun, Sharath Chandra Guntuku, Huy Quan Vu, Mohammad Zamani, Niranjan Balasubramanian, Vivek Kulkarni and Daniel N. Klein. Their work appears in journals such as Psychological Medicine, Journal of Personality and Social Psychology and Journal of Psychiatric 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.