Jamin Shin
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- AI in Service Interactions
Papers in
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- Topic Modeling 8
- Natural Language Processing Techniques 5
- Sentiment Analysis and Opinion Mining 2
- Speech Recognition and Synthesis 2
- Intelligent Tutoring Systems and Adaptive Learning 1
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- Multimodal Machine Learning Applications 1
- Co-authors
- Pascale Fung (5 shared papers)Peng Xu (3 shared papers)Zhaojiang Lin (3 shared papers)Andrea Madotto (4 shared papers)Zihan Liu (2 shared papers)Genta Indra Winata (3 shared papers)Juho Kim (1 shared paper)Young‐Ho Kim (1 shared paper)
- Journals
- Korean Journal of Food Preservation (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (4 papers)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)Educational Data Mining (1 paper)
- Partner nations
- Hong KongSouth KoreaUnited States
In The Last Decade
Jamin Shin
16 papers receiving 346 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 273
- Health Informatics 8
- Applied Psychology 17
- Experimental and Cognitive Psychology 32
- Social Psychology 48
Countries citing papers authored by Jamin Shin
This map shows the geographic impact of Jamin Shin'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 Jamin Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamin Shin more than expected).
Fields of papers citing papers by Jamin Shin
This network shows the impact of papers produced by Jamin Shin. 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 Jamin Shin. The network helps show where Jamin Shin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamin Shin, 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 | 111 | |
| 2 | 2020 | 82 | |
| 3 | 2024 | 43 | |
| 4 | 2020 | 30 | |
| 5 | 2023 | 22 | |
| 6 | 2022 | 16 | |
| 7 | 2024 | 15 | |
| 8 | 2024 | 13 | |
| 9 | 2019 | 7 | |
| 10 | 2020 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 3 | |
| 13 | Tracing Knowledge for Tracing Dropouts: Multi-Task Training for Study Session Dropout Prediction | 2021 | 2 |
| 14 | Understanding the Shades of Sexism in Popular TV Series | 2019 | 1 |
| 15 | 2022 | 1 | |
| 16 | Low-Rank Matrix Factorization of LSTM as Effective Model Compression | 2018 | 1 |
About Jamin Shin
Jamin Shin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Information Systems and Management, having authored 16 papers that have together received 359 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers), Sentiment Analysis and Opinion Mining (2 papers), Speech Recognition and Synthesis (2 papers), Multimodal Machine Learning Applications (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Media, Gender, and Advertising (1 paper) and Cassava research and cyanide (1 paper). The work is most often cited by research in Artificial Intelligence (273 citations), Health Informatics (8 citations), Applied Psychology (17 citations), Experimental and Cognitive Psychology (32 citations) and Social Psychology (48 citations). Jamin Shin has collaborated with scholars based in Hong Kong, South Korea and United States. Frequent co-authors include Pascale Fung, Peng Xu, Zhaojiang Lin, Andrea Madotto, Zihan Liu, Genta Indra Winata, Juho Kim, Young‐Ho Kim, Minjoon Seo and Joel Jang. Their work appears in journals such as Korean Journal of Food Preservation, Rare & Special e-Zone (The Hong Kong University of Science and Technology), Findings of the Association for Computational Linguistics: ACL 2022 and Educational Data Mining.
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.