Jungyun Seo

104 papers receiving 990 citations

Peers

Jungyun Seo
Comparison fields: 5 of 87
  • Artificial Intelligence 922
  • Information Systems 323
  • Computer Vision and Pattern Recognition 86
  • Computer Networks and Communications 58
  • Management Science and Operations Research 47
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Countries citing papers authored by Jungyun Seo

Since Specialization
Citations

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).

Fields of papers citing papers by Jungyun Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 60
4 2
5
Hierarchical attention based CNN-RNN networks for The Korean Speech-Act Analysis
0
6
Expanding Korean/English Parallel Corpora using Back-translation for Neural Machine Translation
1
7
Efficient Keyword Extraction and Text Summarization for Reading Articles on Smart Phone
6
8 1
9
An Effective Adaptive Dialogue Strategy Using Reinforcement Loaming
0
10
A Statistical Prediction Model of Speakers' Intentions in a Goal-Oriented Dialogue
1
11
Automatic Text Categorization based on Semi-Supervised Learning
0
12
A Dialogue-Based Information Retrieval Assistant Using Shallow NLP Techniques in Online Sales Domains( Cyberworlds)
1
13
A High Performance Question-Answering System Based on a Two-Pass Answer Indexing and Lexico-Syntactic Pattern Matching
1
14
Multilingual Question Answering with High Portability on Relational Databases
7
15
Topic Keyword Identification for Text Summarization Using Lexical Clustering
7
16
SiteQ: Engineering high performance QA system using lexico-semantic pattern matching and shallow NLP
60
17
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules.
13
18
Web-based Requirements Elicitation Supporting System using Requirements Sentences Categorization
5
19
Text-Driven Multiple-Path Discourse Processing for Descriptive Texts
1
20
Syntactic graphs: a representation for the union of all ambiguous parse trees
14

About Jungyun Seo

Jungyun Seo is a scholar working on Artificial Intelligence, Information Systems and Linguistics and Language, having authored 118 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (72 papers), Natural Language Processing Techniques (67 papers) and Speech and dialogue systems (39 papers). The work is most often cited by research in Artificial Intelligence (922 citations), Information Systems (323 citations) and Computer Vision and Pattern Recognition (86 citations). Jungyun Seo has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Youngjoong Ko, Harksoo Kim, Bosung Kim, Sooyong Park, Robert F. Simmons, Byoung Jae Kim, Jeong-Won Cha, Hanmin Jung, Changki Lee and Dongseok Kim. Their work appears in journals such as The Journal of the Acoustical Society of America, Expert Systems with Applications and IEEE Access.

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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