Jamin Shin
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Sentiment Analysis and Opinion Mining
- AI in Service Interactions
Papers in
-
- Topic Modeling 10
- Natural Language Processing Techniques 7
- Hate Speech and Cyberbullying Detection 2
- Speech and dialogue systems 2
- Speech Recognition and Synthesis 2
- Sentiment Analysis and Opinion Mining 2
- Co-authors
- Pascale Fung (7 shared papers)Peng Xu (4 shared papers)Andrea Madotto (5 shared papers)Zhaojiang Lin (3 shared papers)Genta Indra Winata (4 shared papers)Zihan Liu (3 shared papers)Young‐Ho Kim (1 shared paper)Juho Kim (1 shared paper)
- Journals
- Korean Journal of Food Preservation (1 paper)Educational Data Mining (1 paper)Findings of the Association for Computational Linguistics: ACL 2022 (1 paper)KSBB Journal (1 paper)AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) (1 paper)
- Partner nations
- South KoreaHong KongUnited States
In The Last Decade
Jamin Shin
20 papers receiving 485 citations
Jamin Shin's Hit Papers
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 381
- Health Informatics 9
- Applied Psychology 19
- Computer Vision and Pattern Recognition 65
- Experimental and Cognitive Psychology 38
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 | 138 | |
| 2 | 2020 | 92 | |
| 3 | EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria Hit paper breakdown → | 2024 | 54 |
| 4 | 2019 | 52 | |
| 5 | 2020 | 37 | |
| 6 | 2023 | 26 | |
| 7 | 2024 | 24 | |
| 8 | 2024 | 20 | |
| 9 | 2022 | 17 | |
| 10 | 2018 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 2022 | 4 | |
| 15 | Tracing Knowledge for Tracing Dropouts: Multi-Task Training for Study Session Dropout Prediction | 2021 | 3 |
| 16 | Understanding the Shades of Sexism in Popular TV Series | 2019 | 2 |
| 17 | 2022 | 2 | |
| 18 | 2025 | 1 | |
| 19 | Low-Rank Matrix Factorization of LSTM as Effective Model Compression | 2018 | 1 |
| 20 | 2022 | 1 |
About Jamin Shin
Jamin Shin is a scholar working on Artificial Intelligence, Health Informatics, Computer Vision and Pattern Recognition, Computer Science Applications and Information Systems and Management, having authored 20 papers that have together received 504 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers), Hate Speech and Cyberbullying Detection (2 papers), Speech and dialogue systems (2 papers), Biofuel production and bioconversion (2 papers), Speech Recognition and Synthesis (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Cassava research and cyanide (1 paper). The work is most often cited by research in Artificial Intelligence (381 citations), Health Informatics (9 citations), Applied Psychology (19 citations), Computer Vision and Pattern Recognition (65 citations) and Experimental and Cognitive Psychology (38 citations). Jamin Shin has collaborated with scholars based in South Korea, Hong Kong and United States. Frequent co-authors include Pascale Fung, Peng Xu, Andrea Madotto, Zhaojiang Lin, Genta Indra Winata, Zihan Liu, Young‐Ho Kim, Juho Kim, Yan Xu and Minjoon Seo. Their work appears in journals such as Korean Journal of Food Preservation, Educational Data Mining, Findings of the Association for Computational Linguistics: ACL 2022, KSBB Journal and AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)).
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.