Seung‐Hoon Na

1.0k total citations
64 papers, 573 citations indexed

About

Seung‐Hoon Na is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Seung‐Hoon Na has authored 64 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 21 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Seung‐Hoon Na's work include Topic Modeling (43 papers), Natural Language Processing Techniques (36 papers) and Information Retrieval and Search Behavior (14 papers). Seung‐Hoon Na is often cited by papers focused on Topic Modeling (43 papers), Natural Language Processing Techniques (36 papers) and Information Retrieval and Search Behavior (14 papers). Seung‐Hoon Na collaborates with scholars based in South Korea, Singapore and United States. Seung‐Hoon Na's co-authors include Jong-Hyeok Lee, Hyun Kim, In-Su Kang, Jun-Gi Kim, Seungwoo Lee, Won-Kyung Sung, Hanmin Jung, Stephanie Schmitt‐Grohé, Martı́n Uribe and Vivian Z. Yue and has published in prestigious journals such as American Economic Review, Expert Systems with Applications and Pattern Recognition Letters.

In The Last Decade

Seung‐Hoon Na

60 papers receiving 536 citations

Peers

Seung‐Hoon Na
Hiroki Sakaji Japan
Martin Harrigan Ireland
Jiayi Chen China
Shubhamoy Dey India
Alexandra Pomares Quimbaya Colombia
Mark E Neumann United States
Dionisios N. Sotiropoulos Greece
Thien Hai Nguyen Japan
Alexander Hogenboom Netherlands
Hironori Takeuchi Japan
Hiroki Sakaji Japan
Seung‐Hoon Na
Citations per year, relative to Seung‐Hoon Na Seung‐Hoon Na (= 1×) peers Hiroki Sakaji

Countries citing papers authored by Seung‐Hoon Na

Since Specialization
Citations

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

Fields of papers citing papers by Seung‐Hoon Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung‐Hoon Na. 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 Seung‐Hoon Na. The network helps show where Seung‐Hoon Na may publish in the future.

Co-authorship network of co-authors of Seung‐Hoon Na

This figure shows the co-authorship network connecting the top 25 collaborators of Seung‐Hoon Na. A scholar is included among the top collaborators of Seung‐Hoon Na 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 Seung‐Hoon Na. Seung‐Hoon Na 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.
Na, Seung‐Hoon, et al.. (2024). Evaluating Complex Entity Knowledge Propagation for Knowledge Editing in LLMs. Applied Sciences. 14(4). 1508–1508. 2 indexed citations
2.
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Na, Seung‐Hoon, et al.. (2023). MultiFusedNet: A Multi-Feature Fused Network of Pretrained Vision Models via Keyframes for Student Behavior Classification. Applied Sciences. 14(1). 230–230. 1 indexed citations
4.
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Kang, In-Ho, et al.. (2023). RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence. 37(11). 13446–13456. 2 indexed citations
6.
Kim, Hyun, Joonho Lim, Hyunki Kim, & Seung‐Hoon Na. (2019). QE BERT: Bilingual BERT Using Multi-task Learning for Neural Quality Estimation. 85–89. 15 indexed citations
7.
Na, Seung‐Hoon, et al.. (2018). KoELMo: Deep Contextualized word representations for Korean. 296–298. 1 indexed citations
8.
Na, Seung‐Hoon, et al.. (2017). Concept Equalization to Guide Correct Training of Neural Machine Translation. International Joint Conference on Natural Language Processing. 2. 302–307. 1 indexed citations
9.
Kim, Chul-Kyu, et al.. (2012). IR-based k-Nearest Neighbor Approach for Identifying Abnormal Chat Users.. 7 indexed citations
10.
Na, Seung‐Hoon & Hwee Tou Ng. (2011). Enriching document representation via translation for improved monolingual information retrieval. National University of Singapore. 853–862. 6 indexed citations
11.
Lee, Yeha, et al.. (2008). KLE at TREC 2008 Blog Track: Blog Post and Feed Retrieval. Text REtrieval Conference. 34 indexed citations
12.
Na, Seung‐Hoon, et al.. (2008). Applying completely-arbitrary passage for pseudo-relevance feedback in language modeling approach. 626–631. 4 indexed citations
13.
Lee, Yeha, Seung‐Hoon Na, & Jong-Hyeok Lee. (2008). Search Result Clustering Using Label Language Model. International Joint Conference on Natural Language Processing. 637–642. 2 indexed citations
14.
Na, Seung‐Hoon, et al.. (2007). Automatic Extraction of English-Chinese Transliteration Pairs using Dynamic Window and Tokenizer. Jeongbo gwahaghoe nonmunji. keompyuting ui silje. 13(6). 417–15. 1 indexed citations
15.
Lee, Yeha, et al.. (2007). POSTECH at NTCIR-6 English Patent Retrieval Subtask. NTCIR. 1 indexed citations
16.
Na, Seung‐Hoon, et al.. (2005). POSTECH at NTCIR-5: Combining Evidences of Multiple Term Extractions for Mono-lingual and Cross-lingual Retrieval in Korean and Japanese.. NTCIR. 1 indexed citations
17.
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
18.
Na, Seung‐Hoon, In-Su Kang, & Jong-Hyeok Lee. (2004). POSTECH Question-Answering Experiments at NTCIR-4 QAC. NTCIR. 2 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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