In-Su Kang

529 total citations
36 papers, 292 citations indexed

About

In-Su Kang is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, In-Su Kang has authored 36 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 17 papers in Information Systems and 8 papers in Management Science and Operations Research. Recurrent topics in In-Su Kang's work include Topic Modeling (18 papers), Natural Language Processing Techniques (14 papers) and Web Data Mining and Analysis (9 papers). In-Su Kang is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (14 papers) and Web Data Mining and Analysis (9 papers). In-Su Kang collaborates with scholars based in South Korea, United Kingdom and United States. In-Su Kang's co-authors include Jong-Hyeok Lee, Seung‐Hoon Na, Hanmin Jung, Seungwoo Lee, Won-Kyung Sung, Jun-Gi Kim, Seung‐Wan Song, Ji‐Hoon Bae, Yue Xu and Mikyoung Lee and has published in prestigious journals such as Sensors and Actuators B Chemical, Information Processing & Management and BMC Complementary and Alternative Medicine.

In The Last Decade

In-Su Kang

29 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
In-Su Kang South Korea	8	190	119	84	80	29	36	292
Pucktada Treeratpituk United States	8	229 1.2×	140 1.2×	80 1.0×	106 1.3×	26 0.9×	13	309
Won-Kyung Sung South Korea	7	114 0.6×	94 0.8×	56 0.7×	74 0.9×	29 1.0×	35	210
Mubashir Imran Saudi Arabia	6	169 0.9×	13 0.1×	17 0.2×	96 1.2×	30 1.0×	10	318
Iqra Safder Pakistan	10	220 1.2×	15 0.1×	36 0.4×	56 0.7×	25 0.9×	18	312
Jagdev Bhogal United Kingdom	7	251 1.3×	28 0.2×	37 0.4×	176 2.2×	9 0.3×	18	376
Jean-Charles Lamirel France	8	142 0.7×	12 0.1×	22 0.3×	57 0.7×	19 0.7×	43	213
Ana Lelescu United States	7	69 0.4×	12 0.1×	48 0.6×	38 0.5×	12 0.4×	12	188
Guancan Yang China	8	73 0.4×	24 0.2×	33 0.4×	33 0.4×	24 0.8×	16	270
Zara Nasar Pakistan	5	224 1.2×	40 0.3×	39 0.5×	61 0.8×	4 0.1×	9	288
Alexandra Pomares Quimbaya Colombia	6	196 1.0×	210 1.8×	76 0.9×	31 0.4×	9 0.3×	36	439

Countries citing papers authored by In-Su Kang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of In-Su Kang

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

All Works

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20 of 20 papers shown

Kim, Hyunsoo, In-Su Kang, David J. Baek, Heinrich Jung, & C. Morales Morales. (2024). Lightweight Semantic Segmentation Model for Disaster Area Based on TransUNet. 289–294. 1 indexed citations

Patil, Harshada, In-Su Kang, Bo Hou, et al.. (2022). Plasma etching and surface characteristics depending on the crystallinity of the BaTiO₃ thin film. Materials Research Express. 10(1). 16401–16401. 2 indexed citations

Kang, In-Su, et al.. (2013). A Single-step Machine Learning Approach to Link Detection in Wikipedia: NTCIR Crosslink-2 Experiments at KSLP. NTCIR.

Kang, In-Su, et al.. (2013). Overview of the NTCIR-10 cross-lingual link discovery task. BMC Complementary and Alternative Medicine. 16. 361–361. 8 indexed citations

Kang, In-Su, et al.. (2009). Generalization of Ontology Instances Based on WordNet and Google. Journal of Korean institute of intelligent systems. 19(3). 363–370. 1 indexed citations

Na, Seung‐Hoon, et al.. (2008). Applying completely-arbitrary passage for pseudo-relevance feedback in language modeling approach. 626–631. 4 indexed citations

Kang, In-Su. (2008). Application of Machine Learning Techniques for Resolving Korean Author Names. Journal of the Korean Society for information Management. 25(3). 27–39.

Na, Seung‐Hoon, Jun-Gi Kim, In-Su Kang, & Jong-Hyeok Lee. (2008). Exploiting proximity feature in bigram language model for information retrieval. 821–822. 2 indexed citations

Kang, In-Su, Seung‐Hoon Na, Seungwoo Lee, et al.. (2008). On co-authorship for author disambiguation. Information Processing & Management. 45(1). 84–97. 109 indexed citations

10.

Jung, Hanmin, et al.. (2007). Evaluation of Usability on OntoFrame OntoFrame^(R)System. 38(2). 153–173. 1 indexed citations

11.

Jung, Hanmin, Mikyoung Lee, In-Su Kang, Seungwoo Lee, & Won-Kyung Sung. (2007). Finding topic-centric identified experts based on full text analysis. 56–63. 7 indexed citations

12.

Song, Seung‐Wan & In-Su Kang. (2007). A facile fabrication route to tungsten oxide films on ceramic substrates. Sensors and Actuators B Chemical. 129(2). 971–976. 9 indexed citations

13.

Na, Seung‐Hoon, In-Su Kang, & Jong-Hyeok Lee. (2006). Adaptive document clustering based on query-based similarity. Information Processing & Management. 43(4). 887–901. 2 indexed citations

14.

Na, Seung‐Hoon, et al.. (2006). An empirical study of query expansion and cluster-based retrieval in language modeling approach. Information Processing & Management. 43(2). 302–314. 7 indexed citations

15.

Kang, In-Su, et al.. (2006). A Design and Implementation of National R&D Reference Information Ontology Based on URI Server. 37(2). 109–136. 1 indexed citations

16.

Kang, In-Su, et al.. (2005). POSTECH at NTCIR-5 Patent Retrieval: Smoothing Experiments in a Language Modeling Approach to Patent Retrieval. NTCIR. 1 indexed citations

17.

Na, Seung‐Hoon, In-Su Kang, & Jong-Hyeok Lee. (2004). POSTECH Question-Answering Experiments at NTCIR-4 QAC. NTCIR. 2 indexed citations

18.

Kang, In-Su, et al.. (2004). Multi-Document Summarization Using Cross-Language Texts. NTCIR. 8 indexed citations

19.

Kang, In-Su, Seung‐Hoon Na, & Jong-Hyeok Lee. (2004). Combination Approaches in Information Retrieval: Words vs. N-grams and Query Translation vs. Document Translation.. NTCIR. 2 indexed citations

20.

Na, Seung‐Hoon, et al.. (2002). Question Answering Approach Using a WordNet-based Answer Type Taxonomy.. Text REtrieval Conference. 9 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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