Young-Seob Jeong
- Artificial Intelligence top 5%
- Information Systems top 10%
- Signal Processing top 10%
- Materials Chemistry
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Jiyoung WooAh Reum KangHo‐Jin ChoiGuang J. ChoiKyo-Joong OhMin‐Jeong LeeSang Hyun KimJiyoon Lee
- Topics
- Topic Modeling (15 papers)Natural Language Processing Techniques (14 papers)Advanced Text Analysis Techniques (8 papers)
- Partner nations
- South KoreaUnited Arab EmiratesSingapore
In The Last Decade
Young-Seob Jeong
56 papers receiving 555 citations
Peers
Comparison fields: 5 of 109
- Artificial Intelligence 230
- Information Systems 79
- Signal Processing 74
- Materials Chemistry 74
- Computer Vision and Pattern Recognition 70
Countries citing papers authored by Young-Seob Jeong
This map shows the geographic impact of Young-Seob 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 Young-Seob Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-Seob Jeong more than expected).
Fields of papers citing papers by Young-Seob Jeong
This network shows the impact of papers produced by Young-Seob 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 Young-Seob Jeong. The network helps show where Young-Seob Jeong may publish in the future.
Co-authorship network of co-authors of Young-Seob Jeong
This figure shows the co-authorship network connecting the top 25 collaborators of Young-Seob Jeong. A scholar is included among the top collaborators of Young-Seob 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 Young-Seob Jeong. Young-Seob 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 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 22 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 11 | |
| 14 | Out-of-Domain Detection Based on Sentence Distance for Dialogue System | 1 |
| 15 | Political Opinion Mining from Article Comments using Deep Learning | 1 |
| 16 | Korean TimeBank Including Relative Temporal Information | 1 |
| 17 | Korean TimeML and Korean TimeBank. | 6 |
| 18 | papago: A Machine Translation Service with Word Sense Disambiguation and Currency Conversion | 7 |
| 19 | 2 | |
| 20 | 10 |
About Young-Seob Jeong
Young-Seob Jeong is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, having authored 63 papers that have together received 571 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (14 papers) and Advanced Text Analysis Techniques (8 papers). The work is most often cited by research in Artificial Intelligence (230 citations), Signal Processing (74 citations) and Health Informatics (9 citations). Young-Seob Jeong has collaborated with scholars based in South Korea, United Arab Emirates and Singapore. Frequent co-authors include Jiyoung Woo, Ah Reum Kang, Ho‐Jin Choi, Guang J. Choi, Kyo-Joong Oh, Min‐Jeong Lee, Sang Hyun Kim, Jiyoon Lee, Dahye Kim and Jung‐Hyun Kim. Their work appears in journals such as PLoS ONE, Scientific Reports 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.