Hyuckchul Jung

890 citations
23 papers · 330 indexed · h-index 10
Topics
Multi-Agent Systems and Negotiation (8 papers)Natural Language Processing Techniques (8 papers)Constraint Satisfaction and Optimization (5 papers)
Journals
AI MagazineMeeting of the Association for Computational LinguisticsJoint Conference on Lexical and Computational Semantics

In The Last Decade

Hyuckchul Jung

21 papers receiving 288 citations

Peers

Hyuckchul Jung
Comparison fields: 5 of 49
  • Artificial Intelligence 247
  • Information Systems 71
  • Computer Networks and Communications 60
  • Management Science and Operations Research 39
  • Sociology and Political Science 36
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Countries citing papers authored by Hyuckchul Jung

Since Specialization
Citations

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

Fields of papers citing papers by Hyuckchul Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyuckchul Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Hyuckchul Jung. A scholar is included among the top collaborators of Hyuckchul Jung 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 Hyuckchul Jung. Hyuckchul Jung 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 14
2 2
3
ATT1: Temporal Annotation Using Big Windows and Rich Syntactic and Semantic Features
10
4
Street-Level Geolocation From Natural Language Descriptions
0
5
Building Timelines from Narrative Clinical Records: Initial Results Based-on Deep Natural Language Understanding
34
6 2
7 47
8 1
9
PLOW: a collaborative task learning agent
93
10 2
11
Using semantics to identify web objects
6
12
One-Shot Procedure Learning from Instruction and Observation
7
13 5
14 1
15 14
16
Conflict resolution strategies and their performance models for large-scale multiagent systems
1
17 1
18 48
19 16
20 0

About Hyuckchul Jung

Hyuckchul Jung is a scholar working on Artificial Intelligence, Management Information Systems and Management of Technology and Innovation, having authored 23 papers that have together received 330 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (8 papers), Natural Language Processing Techniques (8 papers) and Constraint Satisfaction and Optimization (5 papers). The work is most often cited by research in Artificial Intelligence (247 citations), Information Systems (71 citations) and Computer Science Applications (17 citations). Hyuckchul Jung has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Milind Tambe, Lucian Galescu, James F. Allen, Mary Swift, Nathanael Chambers, George Ferguson, Matthew Johnson, Jeffrey M. Bradshaw, Andrzej Uszok and Larry Bunch. Their work appears in journals such as AI Magazine, Meeting of the Association for Computational Linguistics and Joint Conference on Lexical and Computational Semantics.

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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