Jinbae Im
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
Papers in
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- Topic Modeling 3
- Advanced Text Analysis Techniques 2
- Data Stream Mining Techniques 1
- Natural Language Processing Techniques 1
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- Recommender Systems and Techniques 1
- Co-authors
- Sehee Chung (2 shared papers)Hoyeop Lee (2 shared papers)Hyunsouk Cho (2 shared papers)Seongwon Jang (1 shared paper)Seunghyun Park (1 shared paper)Sungzoon Cho (1 shared paper)
- Journals
- Neurocomputing (1 paper)
- Partner nations
- South Korea
In The Last Decade
Jinbae Im
4 papers receiving 236 citations
Peers
Comparison fields: 5 of 34
- Information Systems 177
- Artificial Intelligence 183
- Management Science and Operations Research 63
- Computer Vision and Pattern Recognition 57
- Computational Mathematics 1
Countries citing papers authored by Jinbae Im
This map shows the geographic impact of Jinbae Im'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 Jinbae Im with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinbae Im more than expected).
Fields of papers citing papers by Jinbae Im
This network shows the impact of papers produced by Jinbae Im. 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 Jinbae Im. The network helps show where Jinbae Im may publish in the future.
Co-authors
The 6 scholars most cited alongside Jinbae Im, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Jinbae Im
Jinbae Im is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Infectious Diseases, having authored 4 papers that have together received 245 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Advanced Text Analysis Techniques (2 papers), Data Stream Mining Techniques (1 paper), Natural Language Processing Techniques (1 paper), Video Analysis and Summarization (1 paper), Multimodal Machine Learning Applications (1 paper), Recommender Systems and Techniques (1 paper) and Advanced Bandit Algorithms Research (1 paper). The work is most often cited by research in Information Systems (177 citations), Artificial Intelligence (183 citations), Management Science and Operations Research (63 citations), Computer Vision and Pattern Recognition (57 citations) and Computational Mathematics (1 citation). Jinbae Im has collaborated with scholars based in South Korea. Frequent co-authors include Sehee Chung, Hoyeop Lee, Hyunsouk Cho, Seongwon Jang, Seunghyun Park and Sungzoon Cho. Their work appears in journals such as Neurocomputing.
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.