Minbyul Jeong
- Artificial Intelligence top 5%
- Molecular Biology
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Jaewoo KangHyunwoo J. KimRaehyun KimMujeen SungDonghyeon KimJinhyuk LeeWonjin YoonYonghwa Choi
- Topics
- Topic Modeling (10 papers)Natural Language Processing Techniques (6 papers)Biomedical Text Mining and Ontologies (5 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Minbyul Jeong
12 papers receiving 708 citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Artificial Intelligence 468
- Molecular Biology 229
- Information Systems 101
- Computer Vision and Pattern Recognition 96
- Statistical and Nonlinear Physics 70
Countries citing papers authored by Minbyul Jeong
This map shows the geographic impact of Minbyul Jeong'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 Minbyul Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minbyul Jeong more than expected).
Fields of papers citing papers by Minbyul Jeong
This network shows the impact of papers produced by Minbyul Jeong. 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 Minbyul Jeong. The network helps show where Minbyul Jeong may publish in the future.
Co-authorship network of co-authors of Minbyul Jeong
This figure shows the co-authorship network connecting the top 25 collaborators of Minbyul Jeong. A scholar is included among the top collaborators of Minbyul Jeong 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 Minbyul Jeong. Minbyul Jeong 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 | 39 | |
| 4 | 4 | |
| 5 | 65 | |
| 6 | 49 | |
| 7 | 29 | |
| 8 | KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering. | 1 |
| 9 | Transferability of Natural Language Inference to Biomedical Question Answering | 9 |
| 10 | 20 | |
| 11 | 118 | |
| 12 | Graph Transformer Networksbreakdown → | 316 |
| 13 | 85 |
About Minbyul Jeong
Minbyul Jeong is a scholar working on Family Practice, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 736 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Natural Language Processing Techniques (6 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Health Informatics (23 citations), Artificial Intelligence (468 citations) and Statistics, Probability and Uncertainty (48 citations). Minbyul Jeong has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Jaewoo Kang, Hyunwoo J. Kim, Raehyun Kim, Mujeen Sung, Donghyeon Kim, Jinhyuk Lee, Wonjin Yoon, Yonghwa Choi, Ying Ding and Chongyan Chen. Their work appears in journals such as Bioinformatics, IEEE Access and Neural Networks.
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.