This map shows the geographic impact of Jungyun Seo'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 Jungyun Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jungyun Seo more than expected).
This network shows the impact of papers produced by Jungyun Seo. 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 Jungyun Seo. The network helps show where Jungyun Seo may publish in the future.
Co-authorship network of co-authors of Jungyun Seo
This figure shows the co-authorship network connecting the top 25 collaborators of Jungyun Seo.
A scholar is included among the top collaborators of Jungyun Seo 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 Jungyun Seo. Jungyun Seo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ko, Youngjoong, et al.. (2018). Hierarchical attention based CNN-RNN networks for The Korean Speech-Act Analysis. 243–246.
6.
Ko, Youngjoong, et al.. (2018). Expanding Korean/English Parallel Corpora using Back-translation for Neural Machine Translation. 470–473.1 indexed citations
7.
Ko, Youngjoong, et al.. (2016). Efficient Keyword Extraction and Text Summarization for Reading Articles on Smart Phone. Computing and Informatics / Computers and Artificial Intelligence. 34(4). 779–794.6 indexed citations
Kim, Won‐Il, Youngjoong Ko, & Jungyun Seo. (2008). An Effective Adaptive Dialogue Strategy Using Reinforcement Loaming. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 35(1). 33–40.
10.
Kim, Donghyun, Harksoo Kim, & Jungyun Seo. (2008). A Statistical Prediction Model of Speakers' Intentions in a Goal-Oriented Dialogue. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 35(9). 554–561.1 indexed citations
11.
Ko, Youngjoong & Jungyun Seo. (2008). Automatic Text Categorization based on Semi-Supervised Learning. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 35(5). 325–334.
12.
Kim, Harksoo, et al.. (2005). A Dialogue-Based Information Retrieval Assistant Using Shallow NLP Techniques in Online Sales Domains( Cyberworlds). IEICE Transactions on Information and Systems. 88(5). 801–808.1 indexed citations
13.
Kim, Harksoo & Jungyun Seo. (2004). A High Performance Question-Answering System Based on a Two-Pass Answer Indexing and Lexico-Syntactic Pattern Matching. IEICE Transactions on Information and Systems. 87(12). 2855–2862.1 indexed citations
14.
Jung, Hanmin, et al.. (2003). Multilingual Question Answering with High Portability on Relational Databases. IEICE Transactions on Information and Systems. 86(2). 306–315.7 indexed citations
15.
Ko, Youngjoong, et al.. (2003). Topic Keyword Identification for Text Summarization Using Lexical Clustering. IEICE Transactions on Information and Systems. 86(9). 1695–1701.7 indexed citations
16.
Seo, Jungyun, Seungwoo Lee, Hanmin Jung, et al.. (2001). SiteQ: Engineering high performance QA system using lexico-semantic pattern matching and shallow NLP. Text REtrieval Conference. 442–451.60 indexed citations
17.
Ko, Youngjoong, et al.. (2001). Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules.. 229–236.13 indexed citations
18.
Ko, Youngjoong, et al.. (2000). Web-based Requirements Elicitation Supporting System using Requirements Sentences Categorization. Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong. 27(4). 384–392.5 indexed citations
19.
Seo, Jungyun. (1996). Text-Driven Multiple-Path Discourse Processing for Descriptive Texts. 1(2). 1–8.1 indexed citations
20.
Seo, Jungyun & Robert F. Simmons. (1989). Syntactic graphs: a representation for the union of all ambiguous parse trees. Computational Linguistics. 15(1). 19–32.14 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.