Do Kook Choe

404 citations
6 papers · 246 · h-index 5

Impact in

    • Topic Modeling
    • Sentiment Analysis and Opinion Mining
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Text and Document Classification Technologies
    • Speech and dialogue systems
    • Language, Metaphor, and Cognition

Papers in

    • Topic Modeling 6
    • Natural Language Processing Techniques 4
    • Sentiment Analysis and Opinion Mining 2
    • Speech and dialogue systems 2
    • Text Readability and Simplification 1
    • Text and Document Classification Technologies 1
    • Advanced Text Analysis Techniques 1
    • Semantic Web and Ontologies 1

Do Kook Choe

6 papers receiving 220 citations

Peers

Do Kook Choe
Comparison fields: 5 of 26
  • Artificial Intelligence 230
  • Experimental and Cognitive Psychology 21
  • Social Psychology 23
  • Computer Vision and Pattern Recognition 24
  • Information Systems 20
Replace Jae-Woong Choe with:
Jae-Woong Choe United States
Kay Peterson United States
Mathieu Constant France
Kiran Vodrahalli United States
Zhengxuan Wu United States
Thiago Castro Ferreira Brazil
Alexandra Uma Italy
Gabriele Pergola United Kingdom
Harish Tayyar Madabushi United Kingdom
Yftah Ziser United Kingdom
Do Kook Choe relative to Jae-Woong Choe United States Jae-Woong Choe's profile →
Citations per field
00.5×2×2.8×
Jae-Woong Choe · 1×
Citations per year

Countries citing papers authored by Do Kook Choe

Since Specialization
Citations

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

Fields of papers citing papers by Do Kook Choe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do Kook Choe. 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 Do Kook Choe. The network helps show where Do Kook Choe may publish in the future.

Co-authors

The 4 scholars most cited alongside Do Kook Choe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Do Kook Choe Line = papers co-authored together Do Kook Choe links everyone, so they are left out of the graph.

All Works

About Do Kook Choe

Do Kook Choe is a scholar working on Artificial Intelligence, Insect Science, Renewable Energy, Sustainability and the Environment, Obstetrics and Gynecology and Anesthesiology and Pain Medicine, having authored 6 papers that have together received 246 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (4 papers), Sentiment Analysis and Opinion Mining (2 papers), Speech and dialogue systems (2 papers), Text Readability and Simplification (1 paper), Text and Document Classification Technologies (1 paper), Advanced Text Analysis Techniques (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Artificial Intelligence (230 citations), Experimental and Cognitive Psychology (21 citations), Social Psychology (23 citations), Computer Vision and Pattern Recognition (24 citations) and Information Systems (20 citations). Do Kook Choe has collaborated with scholars based in United States. Frequent co-authors include Eugene Charniak, Byron Wallace, Laura Kertz and David McClosky.

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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