Yang Sok Kim
- Information Systems top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Marketing top 10%
- Information Systems and Management top 5%
- Co-authors
- Kyung JinHyunwoo HwangboByeong Ho KangMijin NohChoong Kwon LeePaul ComptonMichael BainXiongcai Cai
- Topics
- Digital Marketing and Social Media (7 papers)Technology Adoption and User Behaviour (7 papers)Semantic Web and Ontologies (7 papers)
- Journals
- Expert Systems with ApplicationsEducational Technology Research and DevelopmentLecture notes in computer science
- Partner nations
- South KoreaAustraliaJapan
In The Last Decade
Yang Sok Kim
34 papers receiving 388 citations
Peers
Comparison fields: 5 of 71
- Information Systems 201
- Artificial Intelligence 135
- Sociology and Political Science 93
- Marketing 89
- Information Systems and Management 79
Countries citing papers authored by Yang Sok Kim
This map shows the geographic impact of Yang Sok Kim'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 Yang Sok Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Sok Kim more than expected).
Fields of papers citing papers by Yang Sok Kim
This network shows the impact of papers produced by Yang Sok Kim. 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 Yang Sok Kim. The network helps show where Yang Sok Kim may publish in the future.
Co-authorship network of co-authors of Yang Sok Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Yang Sok Kim. A scholar is included among the top collaborators of Yang Sok Kim 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 Yang Sok Kim. Yang Sok Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 19 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 161 | |
| 10 | Designing a knowledge-based schema matching system for schema mapping | 1 |
| 11 | 1 Review of Ontology Matching Approaches and Challenges | 9 |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 18 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | Noise Elimination from the Web Documents by Using URL paths and Information Redundancy | 5 |
| 18 | 7 | |
| 19 | Web Document Classification: Managing Context Change | 3 |
| 20 | Web Information Management System: Personalization and Generalization. | 7 |
About Yang Sok Kim
Yang Sok Kim is a scholar working on Information Systems and Management, Health Informatics and Information Systems, having authored 35 papers that have together received 428 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (7 papers), Technology Adoption and User Behaviour (7 papers) and Semantic Web and Ontologies (7 papers). The work is most often cited by research in Information Systems and Management (79 citations), Marketing (89 citations) and Information Systems (201 citations). Yang Sok Kim has collaborated with scholars based in South Korea, Australia and Japan. Frequent co-authors include Kyung Jin, Hyunwoo Hwangbo, Byeong Ho Kang, Mijin Noh, Choong Kwon Lee, Paul Compton, Michael Bain, Xiongcai Cai, Wayne Wobcke and Alfred Krzywicki. Their work appears in journals such as Expert Systems with Applications, Educational Technology Research and Development and Lecture notes in computer science.
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.