In-Su Kang
Impact in
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- Data Quality and Management
- Artificial Intelligence top 10%
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
Papers in
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- Topic Modeling 18
- Natural Language Processing Techniques 14
- Semantic Web and Ontologies 7
- Advanced Text Analysis Techniques 5
- Text and Document Classification Technologies 3
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- Web Data Mining and Analysis 9
- Information Retrieval and Search Behavior 7
- Co-authors
- Jong-Hyeok Lee (16 shared papers)Seung‐Hoon Na (12 shared papers)Seungwoo Lee (7 shared papers)Hanmin Jung (7 shared papers)Won-Kyung Sung (6 shared papers)Jun-Gi Kim (2 shared papers)Seung‐Wan Song (1 shared paper)Ji‐Hoon Bae (1 shared paper)
- Journals
- Information Processing & Management (6 papers)BMC Complementary and Alternative Medicine (1 paper)Materials Research Express (1 paper)Sensors and Actuators B Chemical (1 paper)Information Retrieval (1 paper)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
In-Su Kang
29 papers receiving 265 citations
Peers
Comparison fields: 5 of 50
- Management Science and Operations Research 119
- Artificial Intelligence 190
- Management of Technology and Innovation 26
- Information Systems 80
- Statistics, Probability and Uncertainty 20
Countries citing papers authored by In-Su Kang
This map shows the geographic impact of In-Su Kang'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 In-Su Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In-Su Kang more than expected).
Fields of papers citing papers by In-Su Kang
This network shows the impact of papers produced by In-Su Kang. 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 In-Su Kang. The network helps show where In-Su Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside In-Su Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 109 | |
| 2 | 2007 | 53 | |
| 3 | 2010 | 32 | |
| 4 | Question Answering Approach Using a WordNet-based Answer Type Taxonomy. | 2002 | 9 |
| 5 | 2007 | 9 | |
| 6 | 2013 | 8 | |
| 7 | Multi-Document Summarization Using Cross-Language Texts | 2004 | 8 |
| 8 | 2013 | 8 | |
| 9 | Finding topic-centric identified experts based on full text analysis | 2007 | 7 |
| 10 | 2006 | 7 | |
| 11 | 2003 | 7 | |
| 12 | 2008 | 4 | |
| 13 | 2006 | 4 | |
| 14 | POSTECH at NTCIR-4: CJKE Monolingual and Korean-related Cross- Language Retrieval Experiments | 2004 | 4 |
| 15 | Combination Approaches in Information Retrieval: Words vs. N-grams and Query Translation vs. Document Translation. | 2004 | 2 |
| 16 | POSTECH Question-Answering Experiments at NTCIR-4 QAC | 2004 | 2 |
| 17 | 2006 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2008 | 2 | |
| 20 | 2008 | 2 |
About In-Su Kang
In-Su Kang is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Electrical and Electronic Engineering and Molecular Biology, having authored 36 papers that have together received 292 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (14 papers), Web Data Mining and Analysis (9 papers), Data Quality and Management (8 papers), Information Retrieval and Search Behavior (7 papers), Semantic Web and Ontologies (7 papers), Advanced Text Analysis Techniques (5 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Management Science and Operations Research (119 citations), Artificial Intelligence (190 citations), Management of Technology and Innovation (26 citations), Information Systems (80 citations) and Statistics, Probability and Uncertainty (20 citations). In-Su Kang has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Jong-Hyeok Lee, Seung‐Hoon Na, Seungwoo Lee, Hanmin Jung, Won-Kyung Sung, Jun-Gi Kim, Seung‐Wan Song, Ji‐Hoon Bae, Yue Xu and Mikyoung Lee. Their work appears in journals such as Information Processing & Management, BMC Complementary and Alternative Medicine, Materials Research Express, Sensors and Actuators B Chemical and Information Retrieval.
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.