Seung‐Hoon Na

130 total papers · 1.0k total citations
64 papers, 574 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 574 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, Hanmin Jung, Won-Kyung Sung, Martı́n Uribe, Stephanie Schmitt‐Grohé and Hwee Tou Ng 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 537 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Seung‐Hoon Na	388	117	88	83	52	64	574
Lin Zheng	194 0.5×	84 0.7×	40 0.5×	13 0.2×	84 1.6×	65	614
Vikas Garg	118 0.3×	53 0.5×	38 0.4×	88 1.1×	13 0.3×	78	559
Lei Hou	142 0.4×	141 1.2×	40 0.5×	25 0.3×	16 0.3×	48	602
Zeynep Hilal Kilimci	220 0.6×	100 0.9×	135 1.5×	23 0.3×	13 0.3×	50	552
Qika Lin	464 1.2×	135 1.2×	121 1.4×	31 0.4×	30 0.6×	40	686
Girish Keshav Palshikar	271 0.7×	133 1.1×	68 0.8×	27 0.3×	23 0.4×	71	559
Wlodek Zadrozny	373 1.0×	86 0.7×	25 0.3×	21 0.3×	8 0.2×	63	530
Shuang Yao	122 0.3×	31 0.3×	88 1.0×	20 0.2×	89 1.7×	38	589
Vedika Gupta	299 0.8×	84 0.7×	39 0.4×	19 0.2×	9 0.2×	47	687
Daning Hu	92 0.2×	244 2.1×	52 0.6×	5 0.1×	29 0.6×	45	599

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

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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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