Seolhwa Lee

542 total citations
23 papers, 306 citations indexed

About

Seolhwa Lee is a scholar working on Artificial Intelligence, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Seolhwa Lee has authored 23 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Sociology and Political Science. Recurrent topics in Seolhwa Lee's work include Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Speech Recognition and Synthesis (4 papers). Seolhwa Lee is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (8 papers) and Speech Recognition and Synthesis (4 papers). Seolhwa Lee collaborates with scholars based in South Korea, Denmark and Germany. Seolhwa Lee's co-authors include Heuiseok Lim, Danial Hooshyar, Yong Cao, Li Zhou, Daniel Hershcovich, Min Chen, Laura Cabello, Jaechoon Jo, Chanhee Lee and Chanjun Park and has published in prestigious journals such as IEEE Access, Applied Sciences and Electronics.

In The Last Decade

Seolhwa Lee

22 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seolhwa Lee South Korea 8 119 72 64 35 33 23 306
Mina Lee United States 7 167 1.4× 46 0.6× 17 0.3× 27 0.8× 28 0.8× 11 261
Juan Miguel López Spain 9 55 0.5× 61 0.8× 51 0.8× 31 0.9× 40 1.2× 35 250
Andy Coenen United States 4 274 2.3× 53 0.7× 41 0.6× 78 2.2× 64 1.9× 6 461
Samantha Thelijjagoda Sri Lanka 10 99 0.8× 59 0.8× 37 0.6× 19 0.5× 22 0.7× 88 334
Jinhan Choi South Korea 6 84 0.7× 20 0.3× 33 0.5× 49 1.4× 65 2.0× 9 239
Tania Di Mascio Italy 10 38 0.3× 59 0.8× 34 0.5× 24 0.7× 44 1.3× 60 284
Carmen Lacave Spain 11 217 1.8× 85 1.2× 19 0.3× 35 1.0× 42 1.3× 38 473
Robert Mahari United States 3 108 0.9× 21 0.3× 36 0.6× 38 1.1× 28 0.8× 6 328
Amy Smith United Kingdom 2 104 0.9× 19 0.3× 37 0.6× 38 1.1× 28 0.8× 3 317
Savvas Petridis United States 8 130 1.1× 52 0.7× 15 0.2× 39 1.1× 43 1.3× 16 260

Countries citing papers authored by Seolhwa Lee

Since Specialization
Citations

This map shows the geographic impact of Seolhwa Lee'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 Seolhwa Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seolhwa Lee more than expected).

Fields of papers citing papers by Seolhwa Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seolhwa Lee. 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 Seolhwa Lee. The network helps show where Seolhwa Lee may publish in the future.

Co-authorship network of co-authors of Seolhwa Lee

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

All Works

20 of 20 papers shown
1.
Cao, Yong, Li Zhou, Seolhwa Lee, et al.. (2023). Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study. 53–67. 61 indexed citations
2.
Lee, Seolhwa, et al.. (2023). What does the Failure to Reason with “Respectively” in Zero/Few-Shot Settings Tell Us about Language Models?. Research at the University of Copenhagen (University of Copenhagen). 8786–8800. 1 indexed citations
3.
4.
Lee, Seolhwa, et al.. (2023). Retrieval-based Evaluation for LLMs: A Case Study in Korean Legal QA. 132–137. 6 indexed citations
5.
Lee, Seolhwa & Anders Søgaard. (2023). Private Meeting Summarization Without Performance Loss. arXiv (Cornell University). 2282–2286. 2 indexed citations
6.
Park, Chanjun, et al.. (2022). PicTalky: Augmentative and Alternative Communication for Language Developmental Disabilities. 17–27. 4 indexed citations
7.
Lee, Seolhwa, et al.. (2022). AI for Patents: A Novel Yet Effective and Efficient Framework for Patent Analysis. IEEE Access. 10. 59205–59218. 7 indexed citations
8.
Park, Chanjun, et al.. (2022). The ASR Post-Processor Performance Challenges of BackTranScription (BTS): Data-Centric and Model-Centric Approaches. Mathematics. 10(19). 3618–3618. 1 indexed citations
9.
Park, Chanjun, et al.. (2021). BTS: Back TranScription for Speech-to-Text Post-Processor using Text-to-Speech-to-Text. 106–116. 15 indexed citations
10.
Lee, Seolhwa, et al.. (2021). Who Speaks Like a Style of Vitamin: Towards Syntax-Aware Dialogue Summarization Using Multi-Task Learning. IEEE Access. 9. 168889–168898. 5 indexed citations
11.
Poliak, Adam, Cash Costello, Kenton Murray, et al.. (2020). Collecting Verified COVID-19 Question Answer Pairs. 8 indexed citations
12.
Lee, Seolhwa & João Sedoc. (2020). Using the Poly-encoder for a COVID-19 Question Answering System. 3 indexed citations
13.
Jo, Jaechoon, et al.. (2020). Development of Fashion Product Retrieval and Recommendations Model Based on Deep Learning. Electronics. 9(3). 508–508. 30 indexed citations
14.
Lee, Seolhwa, et al.. (2019). Integrating breakdown detection into dialogue systems to improve knowledge management: encoding temporal utterances with memory attention. Information Technology and Management. 21(1). 51–59. 6 indexed citations
15.
Hooshyar, Danial, Seolhwa Lee, Yeongwook Yang, Jaechoon Jo, & Heuiseok Lim. (2018). Long-term effects of adaptive customization support on elderly people. Cognition Technology & Work. 21(3). 371–382. 3 indexed citations
16.
Lim, Heuiseok, et al.. (2018). SmartSenior: Automatic Content Personalization Through Semi-supervised Learning. Wireless Personal Communications. 105(2). 461–473. 6 indexed citations
17.
Lee, Seolhwa, et al.. (2017). An adaptable UI/UX considering user’s cognitive and behavior information in distributed environment. Cluster Computing. 21(1). 1045–1058. 21 indexed citations
18.
Lee, Seolhwa, et al.. (2017). Mining biometric data to predict programmer expertise and task difficulty. Cluster Computing. 21(1). 1097–1107. 57 indexed citations
19.
Lee, Yeonsoo, et al.. (2016). A novel density-based clustering method using word embedding features for dialogue intention recognition. Cluster Computing. 19(4). 2315–2326. 10 indexed citations
20.

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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