J. Heu
Impact in
-
- Advanced Text Analysis Techniques
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Text and Document Classification Technologies
Papers in
-
- Advanced Text Analysis Techniques 4
- Natural Language Processing Techniques 3
- Topic Modeling 3
-
- Technology and Data Analysis 2
- Co-authors
- Dong‐Ho Lee (6 shared papers)Jin-Woo Jeong (4 shared papers)Hyun-Ki Hong (1 shared paper)Dong-Ho Lee (1 shared paper)Bo-Kyeong Kim (1 shared paper)
- Journals
- Journal of Information Science (1 paper)Information Processing & Management (1 paper)Lecture notes in computer science (1 paper)The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry) (3 papers)The Journal of the Institute of Webcasting, Internet and Telecommunication (1 paper)
- Partner nations
- South Korea
In The Last Decade
J. Heu
5 papers receiving 60 citations
Peers
Comparison fields: 5 of 23
- Computer Science Applications 7
- Artificial Intelligence 40
- Information Systems 23
- Health Informatics 1
- Computer Vision and Pattern Recognition 10
Countries citing papers authored by J. Heu
This map shows the geographic impact of J. Heu'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 J. Heu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Heu more than expected).
Fields of papers citing papers by J. Heu
This network shows the impact of papers produced by J. Heu. 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 J. Heu. The network helps show where J. Heu may publish in the future.
Co-authors
The 5 scholars most cited alongside J. Heu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 28 | |
| 2 | 2014 | 27 | |
| 3 | 2012 | 5 | |
| 4 | 2013 | 2 | |
| 5 | 2018 | 1 | |
| 6 | Multi-Document Summarization Technique using Semantic Analysis between Tags | 2012 | 0 |
| 7 | 2013 | 0 | |
| 8 | 2013 | 0 |
About J. Heu
J. Heu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Computer Science Applications and Infectious Diseases, having authored 8 papers that have together received 63 indexed citations. Recurring topics across this work include Advanced Text Analysis Techniques (4 papers), Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Video Analysis and Summarization (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Technology and Data Analysis (2 papers), Video Surveillance and Tracking Methods (1 paper) and Mobile Crowdsensing and Crowdsourcing (1 paper). The work is most often cited by research in Computer Science Applications (7 citations), Artificial Intelligence (40 citations), Information Systems (23 citations), Health Informatics (1 citation) and Computer Vision and Pattern Recognition (10 citations). J. Heu has collaborated with scholars based in South Korea. Frequent co-authors include Dong‐Ho Lee, Jin-Woo Jeong, Hyun-Ki Hong, Dong-Ho Lee and Bo-Kyeong Kim. Their work appears in journals such as Journal of Information Science, Information Processing & Management, Lecture notes in computer science, The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry) and The Journal of the Institute of Webcasting, Internet and Telecommunication.
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.