Gary Geunbae Lee

450 total citations
8 papers, 342 citations indexed

About

Gary Geunbae Lee is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Gary Geunbae Lee has authored 8 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Gary Geunbae Lee's work include Advanced Text Analysis Techniques (4 papers), Text and Document Classification Technologies (4 papers) and Web Data Mining and Analysis (3 papers). Gary Geunbae Lee is often cited by papers focused on Advanced Text Analysis Techniques (4 papers), Text and Document Classification Technologies (4 papers) and Web Data Mining and Analysis (3 papers). Gary Geunbae Lee collaborates with scholars based in South Korea. Gary Geunbae Lee's co-authors include Changki Lee, Seokhwan Kim, Minwoo Jeong and Jonghoon Lee and has published in prestigious journals such as Information Processing & Management, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Journal of the American Society for Information Science and Technology.

In The Last Decade

Gary Geunbae Lee

8 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gary Geunbae Lee South Korea 5 216 130 66 54 47 8 342
B. Liu United States 3 337 1.6× 108 0.8× 69 1.0× 32 0.6× 61 1.3× 5 474
Y. Dai China 1 332 1.5× 106 0.8× 59 0.9× 29 0.5× 59 1.3× 3 458
Gwang S. Jung United States 5 136 0.6× 89 0.7× 76 1.2× 29 0.5× 52 1.1× 11 327
Arnaud Quirin Spain 13 227 1.1× 78 0.6× 90 1.4× 92 1.7× 18 0.4× 29 407
Daokun Zhang Australia 3 343 1.6× 80 0.6× 67 1.0× 42 0.8× 98 2.1× 5 484
Chien-I Lee Taiwan 7 177 0.8× 114 0.9× 39 0.6× 63 1.2× 15 0.3× 23 295
Benedek Rózemberczki United Kingdom 7 228 1.1× 43 0.3× 54 0.8× 30 0.6× 65 1.4× 9 428
Francisco J. Valverde-Albacete Spain 10 188 0.9× 67 0.5× 64 1.0× 118 2.2× 62 1.3× 38 391
José Barranquero Tolosa Spain 10 315 1.5× 108 0.8× 85 1.3× 29 0.5× 53 1.1× 13 420

Countries citing papers authored by Gary Geunbae Lee

Since Specialization
Citations

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

Fields of papers citing papers by Gary Geunbae Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary Geunbae Lee. 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 Gary Geunbae Lee. The network helps show where Gary Geunbae Lee may publish in the future.

Co-authorship network of co-authors of Gary Geunbae Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Gary Geunbae Lee. A scholar is included among the top collaborators of Gary Geunbae Lee 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 Gary Geunbae Lee. Gary Geunbae Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Kim, Seokhwan, Minwoo Jeong, Jonghoon Lee, & Gary Geunbae Lee. (2011). A Cross-lingual Annotation Projection-based Self-supervision Approach for Open Information Extraction. International Joint Conference on Natural Language Processing. 741–748. 3 indexed citations
2.
Lee, Gary Geunbae, et al.. (2011). Subcellular Localization Prediction through Boosting Association Rules. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(2). 609–618. 21 indexed citations
3.
Kim, Seokhwan, Minwoo Jeong, & Gary Geunbae Lee. (2009). A local tree alignment-based soft pattern matching approach for information extraction. 169–169. 4 indexed citations
4.
Kim, Seokhwan, et al.. (2008). An alignment-based approach to semi-supervised relation extraction including multiple arguments. 526–536. 4 indexed citations
5.
Lee, Gary Geunbae, et al.. (2006). Efficient implementation of associative classifiers for document classification. Information Processing & Management. 43(2). 393–405. 11 indexed citations
6.
Lee, Changki & Gary Geunbae Lee. (2005). Information gain and divergence-based feature selection for machine learning-based text categorization. Information Processing & Management. 42(1). 155–165. 286 indexed citations
7.
Lee, Changki, et al.. (2005). An effective procedure for constructing a hierarchical text classification system. Journal of the American Society for Information Science and Technology. 57(3). 431–442. 10 indexed citations
8.
Lee, Changki & Gary Geunbae Lee. (2004). MMR-based feature selection for text categorization. 5–8. 3 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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