Yongmoo Suh

65 total papers · 1.1k total citations
43 papers, 775 citations indexed

About

Yongmoo Suh is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Yongmoo Suh has authored 43 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 17 papers in Sociology and Political Science and 16 papers in Information Systems. Recurrent topics in Yongmoo Suh's work include Digital Marketing and Social Media (16 papers), Imbalanced Data Classification Techniques (7 papers) and Semantic Web and Ontologies (7 papers). Yongmoo Suh is often cited by papers focused on Digital Marketing and Social Media (16 papers), Imbalanced Data Classification Techniques (7 papers) and Semantic Web and Ontologies (7 papers). Yongmoo Suh collaborates with scholars based in South Korea, United States and Finland. Yongmoo Suh's co-authors include Keunho Choi, Gun-Woo Kim, Donghee Yoo, Hanjun Lee, Jinyoung Han, Jung-Eun Kim, Andrew B. Whinston, Matti Hämäläinen, Clyde W. Holsapple and Jinwook Choi and has published in prestigious journals such as Expert Systems with Applications, Decision Support Systems and Journal of the Association for Information Systems.

In The Last Decade

Yongmoo Suh

37 papers receiving 718 citations

Author Peers

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

Author						Papers	Cites
Yongmoo Suh	351	265	210	145	91	43	775
Xitong Li	265 0.8×	170 0.6×	198 0.9×	171 1.2×	50 0.5×	56	863
Soe‐Tsyr Yuan	173 0.5×	112 0.4×	211 1.0×	204 1.4×	43 0.5×	68	658
Dan Liu	310 0.9×	259 1.0×	142 0.7×	197 1.4×	156 1.7×	18	788
Nachiketa Sahoo	201 0.6×	160 0.6×	223 1.1×	216 1.5×	58 0.6×	34	666
Shaha Al‐Otaibi	234 0.7×	279 1.1×	90 0.4×	42 0.3×	65 0.7×	58	878
Chien-wen Shen	197 0.6×	157 0.6×	108 0.5×	58 0.4×	55 0.6×	33	901
Chunhua Ju	179 0.5×	375 1.4×	114 0.5×	59 0.4×	262 2.9×	71	886
Elroy Eugene Smith	437 1.2×	196 0.7×	78 0.4×	56 0.4×	24 0.3×	44	810
Teresa M. Shaft	186 0.5×	104 0.4×	127 0.6×	269 1.9×	32 0.4×	27	900
Victoria Yoon	199 0.6×	181 0.7×	290 1.4×	196 1.4×	26 0.3×	58	807

Countries citing papers authored by Yongmoo Suh

Since Specialization

Citations

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

Fields of papers citing papers by Yongmoo Suh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yongmoo Suh. 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 Yongmoo Suh. The network helps show where Yongmoo Suh may publish in the future.

Co-authorship network of co-authors of Yongmoo Suh

This figure shows the co-authorship network connecting the top 25 collaborators of Yongmoo Suh. A scholar is included among the top collaborators of Yongmoo Suh 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 Yongmoo Suh. Yongmoo Suh 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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