Hyo-Jung Oh
- Artificial Intelligence top 10%
- Information Systems top 5%
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Sociology and Political Science
- Co-authors
- Sung Hyon MyaengMyung-Gil JangDeok‐Kun OhHye Jung KimJae‐Gyu JeonChung-Hee LeeChangki LeeChul Yong Kim
- Topics
- Topic Modeling (10 papers)Natural Language Processing Techniques (10 papers)Technology and Data Analysis (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Dental ResearchInformation Sciences
- Partner nations
- South KoreaUnited States
In The Last Decade
Hyo-Jung Oh
35 papers receiving 286 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 171
- Information Systems 116
- Endocrinology, Diabetes and Metabolism 36
- Molecular Biology 25
- Sociology and Political Science 23
Countries citing papers authored by Hyo-Jung Oh
This map shows the geographic impact of Hyo-Jung Oh'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 Hyo-Jung Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyo-Jung Oh more than expected).
Fields of papers citing papers by Hyo-Jung Oh
This network shows the impact of papers produced by Hyo-Jung Oh. 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 Hyo-Jung Oh. The network helps show where Hyo-Jung Oh may publish in the future.
Co-authorship network of co-authors of Hyo-Jung Oh
This figure shows the co-authorship network connecting the top 25 collaborators of Hyo-Jung Oh. A scholar is included among the top collaborators of Hyo-Jung Oh 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 Hyo-Jung Oh. Hyo-Jung Oh 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | Technology Trends of Issue Detection and Predictive Analysis on Social Big Data | 4 |
| 17 | 1 | |
| 18 | Integrating Attribute-Based Classification for Answer Set Construction | 0 |
| 19 | A Hypertext Categorization Method using Incrementally Computable Class Link Information | 2 |
| 20 | A digital library system for easy creation/manipulation of new documents from existing resources | 1 |
About Hyo-Jung Oh
Hyo-Jung Oh is a scholar working on Information Systems, Transportation and Library and Information Sciences, having authored 59 papers that have together received 324 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Technology and Data Analysis (8 papers). The work is most often cited by research in Artificial Intelligence (171 citations), Information Systems (116 citations) and Periodontics (20 citations). Hyo-Jung Oh has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sung Hyon Myaeng, Myung-Gil Jang, Deok‐Kun Oh, Hye Jung Kim, Jae‐Gyu Jeon, Chung-Hee Lee, Changki Lee, Chul Yong Kim, Chan Young Kim and Hyeonjin Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Dental Research and Information Sciences.
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.