Jamin Shin

814 total citations
14 papers, 240 citations indexed

About

Jamin Shin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Jamin Shin has authored 14 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Jamin Shin's work include Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Sentiment Analysis and Opinion Mining (2 papers). Jamin Shin is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers) and Sentiment Analysis and Opinion Mining (2 papers). Jamin Shin collaborates with scholars based in Hong Kong, South Korea and United States. Jamin Shin's co-authors include Andrea Madotto, Pascale Fung, Peng Xu, Zhaojiang Lin, Juho Kim, Young‐Ho Kim, Minjoon Seo, Doyoung Kim, Juneyoung Park and Segyeong Joo and has published in prestigious journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology), Educational Data Mining and Findings of the Association for Computational Linguistics: ACL 2022.

In The Last Decade

Jamin Shin

14 papers receiving 234 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jamin Shin Hong Kong 7 188 35 33 24 20 14 240
Izabela Stefaniak Poland 4 136 0.7× 11 0.3× 34 1.0× 27 1.1× 14 0.7× 12 223
Chujie Zheng China 9 321 1.7× 92 2.6× 22 0.7× 23 1.0× 27 1.4× 15 400
Eun Young Ha United States 10 243 1.3× 21 0.6× 28 0.8× 17 0.7× 10 0.5× 22 308
Yash Mehta United Kingdom 4 134 0.7× 98 2.8× 23 0.7× 30 1.3× 69 3.5× 6 318
Anil Bandhakavi United Kingdom 5 195 1.0× 23 0.7× 10 0.3× 34 1.4× 35 1.8× 8 221
Ramón López-Cózar Spain 13 328 1.7× 56 1.6× 47 1.4× 16 0.7× 64 3.2× 43 406
Haizhou Zhao China 2 374 2.0× 13 0.4× 89 2.7× 22 0.9× 13 0.7× 2 392
Ruvan Weerasinghe Sri Lanka 9 140 0.7× 19 0.5× 49 1.5× 25 1.0× 7 0.3× 45 228
Luca Soldaini United States 8 152 0.8× 39 1.1× 18 0.5× 35 1.5× 17 0.8× 34 206
Ashwin Kalyan United States 9 150 0.8× 8 0.2× 25 0.8× 27 1.1× 7 0.3× 13 212

Countries citing papers authored by Jamin Shin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jamin Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Jamin Shin. A scholar is included among the top collaborators of Jamin Shin 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 Jamin Shin. Jamin Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Shin, Jamin, et al.. (2024). EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria. 1–21. 28 indexed citations
2.
Hong, Seok‐Hee, Jae‐Woo Ahn, Hwaran Lee, et al.. (2024). Who Wrote this Code? Watermarking for Code Generation. 4890–4911. 13 indexed citations
3.
Longpre, Shayne, et al.. (2024). Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. 4334–4353. 6 indexed citations
5.
Kim, Sungdong, Jamin Shin, Soyoung Kang, et al.. (2023). Aligning Large Language Models through Synthetic Feedback. 13677–13700. 6 indexed citations
6.
Shin, Jamin, et al.. (2022). Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking. Findings of the Association for Computational Linguistics: ACL 2022. 3824–3846. 16 indexed citations
7.
Yang, Yoonseok, et al.. (2022). Evaluating the Knowledge Dependency of Questions. 10512–10526. 1 indexed citations
8.
Lee, Seewoo, et al.. (2021). Tracing Knowledge for Tracing Dropouts: Multi-Task Training for Study Session Dropout Prediction. Educational Data Mining. 2 indexed citations
9.
Shin, Jamin, Peng Xu, Andrea Madotto, & Pascale Fung. (2020). Generating Empathetic Responses by Looking Ahead the User’s Sentiment. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7989–7993. 28 indexed citations
10.
Shin, Jamin, et al.. (2020). Fast End-to-end Coreference Resolution for Korean. 2610–2624. 6 indexed citations
11.
Lee, Nayeon, Yejin Bang, Jamin Shin, & Pascale Fung. (2019). Understanding the Shades of Sexism in Popular TV Series. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 122–125. 1 indexed citations
12.
Winata, Genta Indra, Zhaojiang Lin, Jamin Shin, Zihan Liu, & Pascale Fung. (2019). Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3539–3545. 7 indexed citations
13.
Lin, Zhaojiang, Andrea Madotto, Jamin Shin, Peng Xu, & Pascale Fung. (2019). MoEL: Mixture of Empathetic Listeners. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 121–132. 106 indexed citations
14.
Winata, Genta Indra, et al.. (2018). Low-Rank Matrix Factorization of LSTM as Effective Model Compression. 1 indexed citations

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.

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