Seung-won Hwang

1.6k total citations
76 papers, 924 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 76 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Signal Processing, 31 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 (14 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 (14 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 Sungchul Kim 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 877 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seung-won Hwang South Korea 17 548 356 332 279 142 76 924
Seung-won Hwang South Korea 14 272 0.5× 313 0.9× 342 1.0× 300 1.1× 98 0.7× 72 742
Yasuhiko Morimoto Japan 14 324 0.6× 119 0.3× 398 1.2× 286 1.0× 151 1.1× 122 818
Slobodanka Djordjević‐Kajan Serbia 10 245 0.4× 269 0.8× 166 0.5× 197 0.7× 85 0.6× 22 589
Holger Bast Germany 10 400 0.7× 301 0.8× 243 0.7× 288 1.0× 145 1.0× 24 682
Michalis Potamias United States 10 500 0.9× 318 0.9× 203 0.6× 311 1.1× 265 1.9× 16 913
Giuseppe Psaila Italy 13 543 1.0× 376 1.1× 501 1.5× 295 1.1× 74 0.5× 79 923
Sergio Flesca Italy 16 274 0.5× 434 1.2× 515 1.6× 638 2.3× 62 0.4× 82 1.1k
Giovanna Guerrini Italy 14 220 0.4× 355 1.0× 252 0.8× 401 1.4× 58 0.4× 97 703
Marcos R. Vieira United States 11 351 0.6× 195 0.5× 139 0.4× 167 0.6× 179 1.3× 33 625
Parke Godfrey Canada 13 1.1k 1.9× 875 2.5× 278 0.8× 374 1.3× 178 1.3× 52 1.4k

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

20 of 20 papers shown
1.
Kim, Jin-Su, et al.. (2025). ECoRAG: Evidentiality-guided Compression for Long Context RAG. 26607–26628.
4.
Hwang, Seung-won, et al.. (2024). Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models. 10097–10107.
5.
Lee, Jae‐Seong, et al.. (2024). COMMIT: Code-Mixing English-Centric Large Language Model for Multilingual Instruction Tuning. 3130–3137. 1 indexed citations
6.
Kim, Minsoo, et al.. (2024). QuBE: Question-based Belief Enhancement for Agentic LLM Reasoning. 21403–21423.
7.
Lee, Jae‐Seong, et al.. (2024). ContrastiveMix: Overcoming Code-Mixing Dilemma in Cross-Lingual Transfer for Information Retrieval. 197–204. 1 indexed citations
8.
Kim, Minsoo, et al.. (2023). Relevance-assisted Generation for Robust Zero-shot Retrieval. 2 indexed citations
9.
Hwang, Seung-won, et al.. (2023). On Complementarity Objectives for Hybrid Retrieval. 13357–13368. 2 indexed citations
10.
Yeo, Jinyoung, Seung-won Hwang, Sungchul Kim, Eunyee Koh, & Nedim Lipka. (2018). Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability. IEEE Transactions on Knowledge and Data Engineering. 32(2). 246–259. 21 indexed citations
11.
Sha, Yuchen, et al.. (2016). Commonsense causal reasoning between short texts. Principles of Knowledge Representation and Reasoning. 421–430. 35 indexed citations
12.
Hwang, Seung-won, Saehoon Kim, Yuxiong He, Sameh Elnikety, & Seungjin Choi. (2016). Prediction and Predictability for Search Query Acceleration. ACM Transactions on the Web. 10(3). 1–28. 8 indexed citations
13.
Lee, Taesung & Seung-won Hwang. (2016). Linking, integrating, and translating entities via iterative graph matching. 21. 248–255. 1 indexed citations
14.
Hwang, Seung-won, et al.. (2013). MSSQ: Manhattan Spatial Skyline Queries. Information Systems. 40. 67–83. 15 indexed citations
15.
Lee, Jongwuk & Seung-won Hwang. (2010). QSkycube. Proceedings of the VLDB Endowment. 4(3). 185–196. 13 indexed citations
16.
Hwang, Seung-won, et al.. (2010). Instant code clone search. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 167–176. 42 indexed citations
17.
Ahn, Hee-Kap, et al.. (2010). Spatial skyline queries: exact and approximation algorithms. GeoInformatica. 15(4). 665–697. 8 indexed citations
18.
You, Gae-won, et al.. (2009). Ranking strategies and threats: a cost-based pareto optimization approach. Distributed and Parallel Databases. 26(1). 127–150. 1 indexed citations
19.
Yu, Hwanjo, Seung-won Hwang, & Kevin Chen–Chuan Chang. (2006). Enabling soft queries for data retrieval. Information Systems. 32(4). 560–574. 15 indexed citations
20.
Otoo, Ekow, Arie Shoshani, & Seung-won Hwang. (2001). Clustering High Dimensional Massive Scientific Datasets. Journal of Intelligent Information Systems. 17(2-3). 147–168. 6 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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