Seung-won Hwang

130 total papers · 1.6k total citations
74 papers, 923 citations indexed

About

Seung-won Hwang is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Seung-won Hwang has authored 74 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Signal Processing, 29 papers in Artificial Intelligence and 21 papers in Computer Networks and Communications. Recurrent topics in Seung-won Hwang's work include Data Management and Algorithms (34 papers), Advanced Database Systems and Queries (16 papers) and Topic Modeling (13 papers). Seung-won Hwang is often cited by papers focused on Data Management and Algorithms (34 papers), Advanced Database Systems and Queries (16 papers) and Topic Modeling (13 papers). Seung-won Hwang collaborates with scholars based in South Korea, United States and China. Seung-won Hwang's co-authors include Kevin Chen–Chuan Chang, Jongwuk Lee, Jinyoung Yeo, Jin-Han Kim, Zhongyuan Wang, Taesung Lee, Yuting Wen, Sunghun Kim, Sunghun Kim and Sang-Hoon Lee and has published in prestigious journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Proceedings of the VLDB Endowment.

In The Last Decade

Seung-won Hwang

68 papers receiving 876 citations

Author Peers

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

Author Last Decade Papers Cites
Seung-won Hwang 548 356 330 279 142 74 923
Eric Lo 429 0.8× 673 1.9× 417 1.3× 438 1.6× 192 1.4× 74 1.2k
Enrico Nardelli 513 0.9× 533 1.5× 174 0.5× 169 0.6× 175 1.2× 87 1.1k
Johann Gamper 371 0.7× 322 0.9× 223 0.7× 437 1.6× 198 1.4× 97 995
Nieves R. Brisaboa 287 0.5× 360 1.0× 276 0.8× 582 2.1× 283 2.0× 101 1.1k
Yansheng Lu 276 0.5× 241 0.7× 360 1.1× 266 1.0× 235 1.7× 121 956
Suprio Ray 337 0.6× 398 1.1× 237 0.7× 338 1.2× 71 0.5× 78 814
Yasuhiko Morimoto 323 0.6× 118 0.3× 397 1.2× 284 1.0× 146 1.0× 121 811
Kaiqi Zhao 299 0.5× 144 0.4× 365 1.1× 432 1.5× 154 1.1× 42 897
Kai Zeng 403 0.7× 572 1.6× 310 0.9× 463 1.7× 250 1.8× 53 985
Wolfgang Klas 201 0.4× 454 1.3× 353 1.1× 395 1.4× 317 2.2× 66 1.0k

Countries citing papers authored by Seung-won Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Seung-won Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung-won Hwang. 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-won Hwang. The network helps show where Seung-won Hwang may publish in the future.

Co-authorship network of co-authors of Seung-won Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Seung-won Hwang. A scholar is included among the top collaborators of Seung-won Hwang 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-won Hwang. Seung-won Hwang 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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2026