Yongmoo Suh
- Information Systems top 2%
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Marketing top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Keunho ChoiGun-Woo KimDonghee YooHanjun LeeJinyoung HanJung-Eun KimAndrew B. WhinstonMatti Hämäläinen
- Topics
- Digital Marketing and Social Media (16 papers)Semantic Web and Ontologies (7 papers)Imbalanced Data Classification Techniques (7 papers)
- Journals
- Expert Systems with ApplicationsDecision Support SystemsJournal of the Association for Information Systems
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Yongmoo Suh
37 papers receiving 728 citations
Peers
Comparison fields: 5 of 90
- Information Systems 355
- Artificial Intelligence 266
- Sociology and Political Science 212
- Marketing 146
- Computer Vision and Pattern Recognition 91
Countries citing papers authored by Yongmoo Suh
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 32 | |
| 3 | Quick-and-Wide Propagation of Disaster Tweets: Its Measurement and Implications | 1 |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | Double Ensemble Approaches to Predicting Firms’ Credit Rating | 1 |
| 9 | The More the Worse? Mining Valuable Ideas with Sentiment Analysis for Idea Recommendation | 5 |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 41 | |
| 15 | CRM Strategies for A Small-Sized Online Shopping Mall Based on Association Rules and Sequential Patterns | 3 |
| 16 | Ontological Representation of Business Process Knowledge and Its Evolution Using Process Mining Techniques | 0 |
| 17 | 1 | |
| 18 | An Ontology-based Hotel Search System Using Semantic Web Technologies | 5 |
| 19 | 33 | |
| 20 | 8 |
About Yongmoo Suh
Yongmoo Suh is a scholar working on Communication, Marketing and Computer Science Applications, having authored 43 papers that have together received 784 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (16 papers), Semantic Web and Ontologies (7 papers) and Imbalanced Data Classification Techniques (7 papers). The work is most often cited by research in Marketing (146 citations), Information Systems (355 citations) and Computer Science Applications (48 citations). Yongmoo Suh has collaborated with scholars based in South Korea, United States and Japan. Frequent 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. Their work appears in journals such as Expert Systems with Applications, Decision Support Systems and Journal of the Association for Information Systems.
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.