Yugyung Lee
- Biomaterials top 1%
- Biomedical Engineering top 5%
- Artificial Intelligence top 2%
- Molecular Biology
- Information Systems top 2%
- Co-authors
- Chi H. LeeChi‐Ho LeeKaustubh SupekarChintan PatelFeichen ShenJames GellerE. K. ParkMuazzam A. Khan
- Topics
- Semantic Web and Ontologies (32 papers)Biomedical Text Mining and Ontologies (22 papers)Service-Oriented Architecture and Web Services (21 papers)
- Partner nations
- United StatesSaudi ArabiaSouth Korea
In The Last Decade
Yugyung Lee
140 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Biomaterials 1.1k
- Biomedical Engineering 779
- Artificial Intelligence 592
- Molecular Biology 435
- Information Systems 342
Countries citing papers authored by Yugyung Lee
This map shows the geographic impact of Yugyung Lee'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 Yugyung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yugyung Lee more than expected).
Fields of papers citing papers by Yugyung Lee
This network shows the impact of papers produced by Yugyung Lee. 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 Yugyung Lee. The network helps show where Yugyung Lee may publish in the future.
Co-authorship network of co-authors of Yugyung Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Yugyung Lee. A scholar is included among the top collaborators of Yugyung Lee 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 Yugyung Lee. Yugyung Lee 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 35 | |
| 13 | 2 | |
| 14 | Experiments with Query Expansion at TREC 2006 Legal Track | 1 |
| 15 | BEE-SMART - A Natural Language Interface For Knowledge Retrieval and Service Execution over the Semantic Web2. | 0 |
| 16 | Characterizing Quality of Knowledge on Semantic Web | 27 |
| 17 | 5 | |
| 18 | 11 | |
| 19 | A Collaborative and Sharable Web-Based Learning System | 2 |
| 20 | Data Mining with Distributed Agents in E-Commerce Applications | 2 |
About Yugyung Lee
Yugyung Lee is a scholar working on Artificial Intelligence, Information Systems and Information Systems and Management, having authored 153 papers that have together received 3.3k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (32 papers), Biomedical Text Mining and Ontologies (22 papers) and Service-Oriented Architecture and Web Services (21 papers). The work is most often cited by research in Biomaterials (1.1k citations), Pharmaceutical Science (214 citations) and Urology (138 citations). Yugyung Lee has collaborated with scholars based in United States, Saudi Arabia and South Korea. Frequent co-authors include Chi H. Lee, Chi‐Ho Lee, Kaustubh Supekar, Chintan Patel, Feichen Shen, James Geller, E. K. Park, Muazzam A. Khan, Deep Medhi and Sachin Kumar Singh. Their work appears in journals such as PLoS ONE, Journal of Controlled Release and IEEE Access.
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.