Ho‐Jin Choi
- Artificial Intelligence top 2%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Co-authors
- Kyo-Joong OhByungsoo KoByeong-Soo JeongDong Kun LeeChowdhury Farhan AhmedSeung Ho HanSyed Khairuzzaman TanbeerDongkeon Lee
- Topics
- Topic Modeling (32 papers)Natural Language Processing Techniques (26 papers)Advanced Text Analysis Techniques (20 papers)
- Partner nations
- South KoreaBangladeshUnited Arab Emirates
In The Last Decade
Ho‐Jin Choi
137 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 639
- Information Systems 299
- Computer Vision and Pattern Recognition 261
- Computational Theory and Mathematics 155
- Molecular Biology 137
Countries citing papers authored by Ho‐Jin Choi
This map shows the geographic impact of Ho‐Jin Choi'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 Ho‐Jin Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ho‐Jin Choi more than expected).
Fields of papers citing papers by Ho‐Jin Choi
This network shows the impact of papers produced by Ho‐Jin Choi. 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 Ho‐Jin Choi. The network helps show where Ho‐Jin Choi may publish in the future.
Co-authorship network of co-authors of Ho‐Jin Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Ho‐Jin Choi. A scholar is included among the top collaborators of Ho‐Jin Choi 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 Ho‐Jin Choi. Ho‐Jin Choi 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 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 18 | |
| 10 | 13 | |
| 11 | Korean-Specific Emotion Annotation Procedure Using N-Gram-Based Distant Supervision and Korean-Specific-Feature-Based Distant Supervision | 3 |
| 12 | Out-of-Domain Detection Based on Sentence Distance for Dialogue System | 1 |
| 13 | Korean TimeBank Including Relative Temporal Information | 1 |
| 14 | 151 | |
| 15 | 7 | |
| 16 | Korean TimeML and Korean TimeBank. | 6 |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 71 |
About Ho‐Jin Choi
Ho‐Jin Choi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 154 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Natural Language Processing Techniques (26 papers) and Advanced Text Analysis Techniques (20 papers). The work is most often cited by research in Artificial Intelligence (639 citations), Applied Psychology (93 citations) and Health Informatics (23 citations). Ho‐Jin Choi has collaborated with scholars based in South Korea, Bangladesh and United Arab Emirates. Frequent co-authors include Kyo-Joong Oh, Byungsoo Ko, Byeong-Soo Jeong, Dong Kun Lee, Chowdhury Farhan Ahmed, Seung Ho Han, Syed Khairuzzaman Tanbeer, Dongkeon Lee, Young-Seob Jeong and Jia Uddin. Their work appears in journals such as Angewandte Chemie International Edition, Scientific Reports and The Journal of Organic Chemistry.
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.