Won-Kyung Sung

121 total papers · 450 total citations
35 papers, 210 citations indexed

About

Won-Kyung Sung is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Won-Kyung Sung has authored 35 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 11 papers in Artificial Intelligence and 8 papers in Management Science and Operations Research. Recurrent topics in Won-Kyung Sung's work include Data Quality and Management (7 papers), Web Data Mining and Analysis (5 papers) and Semantic Web and Ontologies (5 papers). Won-Kyung Sung is often cited by papers focused on Data Quality and Management (7 papers), Web Data Mining and Analysis (5 papers) and Semantic Web and Ontologies (5 papers). Won-Kyung Sung collaborates with scholars based in South Korea, United States and United Kingdom. Won-Kyung Sung's co-authors include Hanmin Jung, Seungwoo Lee, In-Su Kang, Seung‐Hoon Na, Jong-Hyeok Lee, Myunggwon Hwang, Mikyoung Lee, Sa-Kwang Song, Yuna Jeong and Hee Kang and has published in prestigious journals such as IEEE Access, Sensors and Information Processing & Management.

In The Last Decade

Won-Kyung Sung

25 papers receiving 184 citations

Author Peers

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

Author						Papers	Cites
Won-Kyung Sung	114	94	74	56	29	35	210
In-Su Kang	190 1.7×	119 1.3×	80 1.1×	84 1.5×	29 1.0×	36	292
Danilo Dessı̀	182 1.6×	30 0.3×	65 0.9×	29 0.5×	10 0.3×	34	276
Thanapon Noraset	158 1.4×	52 0.6×	75 1.0×	20 0.4×	4 0.1×	28	263
Paola Vicard	105 0.9×	52 0.6×	21 0.3×	31 0.6×	3 0.1×	31	242
Sahar Vahdati	149 1.3×	21 0.2×	33 0.4×	37 0.7×	18 0.6×	28	219
Michelle Cheatham	120 1.1×	32 0.3×	63 0.9×	42 0.8×	10 0.3×	36	176
Milan Stanković	196 1.7×	34 0.4×	101 1.4×	9 0.2×	35 1.2×	25	260
Fidelia Ibekwe-Sanjuan	120 1.1×	12 0.1×	64 0.9×	25 0.4×	9 0.3×	41	222
Georgeta Bordea	207 1.8×	19 0.2×	49 0.7×	54 1.0×	11 0.4×	22	250
Dickson Lukose	124 1.1×	30 0.3×	57 0.8×	30 0.5×	5 0.2×	41	230

Countries citing papers authored by Won-Kyung Sung

Since Specialization

Citations

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

Fields of papers citing papers by Won-Kyung Sung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won-Kyung Sung. 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 Won-Kyung Sung. The network helps show where Won-Kyung Sung may publish in the future.

Co-authorship network of co-authors of Won-Kyung Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Won-Kyung Sung. A scholar is included among the top collaborators of Won-Kyung Sung 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 Won-Kyung Sung. Won-Kyung Sung 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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