Key‐Sun Choi

2.3k total citations · 1 hit paper
140 papers, 1.5k citations indexed

About

Key‐Sun Choi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Key‐Sun Choi has authored 140 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Artificial Intelligence, 30 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Key‐Sun Choi's work include Natural Language Processing Techniques (97 papers), Topic Modeling (70 papers) and Semantic Web and Ontologies (38 papers). Key‐Sun Choi is often cited by papers focused on Natural Language Processing Techniques (97 papers), Topic Modeling (70 papers) and Semantic Web and Ontologies (38 papers). Key‐Sun Choi collaborates with scholars based in South Korea, Japan and France. Key‐Sun Choi's co-authors include Jong–Hoon Oh, David A. Evans, Yi Zhang, Ioana Manolescu, James G. Shanahan, Sihem Amer-Yahia, J. M. Bunn, Greg Lee, Kyung‐Soon Lee and Hitoshi Isahara and has published in prestigious journals such as Pattern Recognition Letters, Information Processing & Management and Journal of Artificial Intelligence Research.

In The Last Decade

Key‐Sun Choi

115 papers receiving 1.3k citations

Hit Papers

Proceedings of the 17th ACM conference on Information and... 2008 2026 2014 2020 2008 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Key‐Sun Choi South Korea 17 1.1k 398 221 116 94 140 1.5k
Ahmed Rafea Egypt 20 1.5k 1.4× 389 1.0× 111 0.5× 113 1.0× 87 0.9× 88 1.8k
Josiane Mothe France 15 492 0.5× 268 0.7× 132 0.6× 34 0.3× 27 0.3× 103 792
Yun Li China 17 517 0.5× 223 0.6× 404 1.8× 55 0.5× 19 0.2× 104 1.3k
Michael Wurst Germany 8 387 0.4× 199 0.5× 138 0.6× 235 2.0× 30 0.3× 18 1.1k
Shangsong Liang China 26 1.1k 1.1× 838 2.1× 292 1.3× 77 0.7× 17 0.2× 98 1.6k
Purnamrita Sarkar United States 15 536 0.5× 90 0.2× 134 0.6× 100 0.9× 26 0.3× 35 1.1k
Francisco García‐Sánchez Spain 19 694 0.6× 663 1.7× 116 0.5× 85 0.7× 19 0.2× 51 1.2k
Xiuzhen Zhang Australia 21 699 0.6× 670 1.7× 125 0.6× 96 0.8× 8 0.1× 104 1.4k
José Luís Reis Portugal 4 434 0.4× 56 0.1× 125 0.6× 32 0.3× 76 0.8× 18 794

Countries citing papers authored by Key‐Sun Choi

Since Specialization
Citations

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

Fields of papers citing papers by Key‐Sun Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Key‐Sun Choi. 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 Key‐Sun Choi. The network helps show where Key‐Sun Choi may publish in the future.

Co-authorship network of co-authors of Key‐Sun Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Key‐Sun Choi. A scholar is included among the top collaborators of Key‐Sun Choi 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 Key‐Sun Choi. Key‐Sun Choi 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.
Choi, Key‐Sun, et al.. (2024). ShieldCXL: A Practical Obliviousness Support with Sealed CXL Memory. ACM Transactions on Architecture and Code Optimization. 22(1). 1–25. 2 indexed citations
2.
Lee, Minho, et al.. (2020). Effective Crowdsourcing of Multiple Tasks for Comprehensive Knowledge Extraction. Language Resources and Evaluation. 212–219. 3 indexed citations
3.
Kim, Eun‐Kyung, et al.. (2018). Distant Supervision for Relation Extraction with Multi-sense Word Embedding. 239–244. 1 indexed citations
4.
Kim, Jiseong, et al.. (2018). Automatic Wordnet Mapping: from CoreNet to Princeton WordNet. Language Resources and Evaluation. 1 indexed citations
5.
Kim, Eunkyung, et al.. (2018). A Korean Knowledge Extraction System for Enriching a KBox. International Conference on Computational Linguistics. 20–24. 3 indexed citations
6.
Unger, Christina, Axel-Cyrille Ngonga Ngomo, André Freitas, et al.. (2017). OKBQA: an Open Collaboration Framework for Development of Natural Language Question-Answering over Knowledge Bases.. 1 indexed citations
7.
Jeong, Young-Seob, et al.. (2016). Korean TimeML and Korean TimeBank.. Language Resources and Evaluation. 356–359. 6 indexed citations
8.
Choi, Key‐Sun, et al.. (2006). Taxonomy Learning using Term Specificity and Similarity. Meeting of the Association for Computational Linguistics. 41–48. 22 indexed citations
9.
Oh, Jong–Hoon, et al.. (2002). Word Sense Disambiguation with Information Retrieval Technique.. Language Resources and Evaluation. 1 indexed citations
10.
Kim, Yong-Beom, et al.. (2001). Proceedings of the 16th Pacific Asia Conference on Language, Information and Computation. Pacific Asia Conference on Language, Information, and Computation. 8 indexed citations
11.
Oh, Jong–Hoon, et al.. (2001). TREC-10 Experiments at KAIST: Batch Filtering and Question Answering. Text REtrieval Conference. 9 indexed citations
12.
Myaeng, Sung Hyon, et al.. (1999). Automatic Identification and Back-Transliteration of Foreign Words for Information Retrieval. Information Processing & Management. 35(4). 523–540. 45 indexed citations
13.
Lee, KS, et al.. (1999). Document Re-ranking Model Using Clusters. 147–152. 7 indexed citations
14.
Choi, Key‐Sun, et al.. (1998). Automatic acquistion of language model based on head-dependent relation between words. 1. 723–723. 2 indexed citations
15.
Li, Junjie & Key‐Sun Choi. (1997). Corpus-based Chinese-Korean abstracting translation system. International Joint Conference on Artificial Intelligence. 24(8). 972–976. 1 indexed citations
16.
Choi, Key‐Sun, et al.. (1997). A Local Grammar-based Approach to Recognizing of Proper Names in Korean Texts. Journal of Visual Languages & Computing. 273–288. 6 indexed citations
17.
Han, Young Soo, et al.. (1996). Bilingual Knowledge Acquisition from Korean-English Parallel Corpus Using Alignment. International Conference on Computational Linguistics. 230–235. 1 indexed citations
18.
Mitkov, Ruslan, et al.. (1994). Lexical transfer and resolution of pronominal anaphors in machine translation : the English-to-Korean case. Procesamiento del lenguaje natural. 15(15). 6. 3 indexed citations
19.
Choi, Key‐Sun, et al.. (1992). Recursive Markov Chain as a Stochastic Grammar. National Conference on Artificial Intelligence. 67–74. 1 indexed citations
20.
Choi, Key‐Sun, et al.. (1990). Grammar Writing Language(GWL) in MATES-EK. 263–267. 1 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.

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