Dongyeop Kang
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 10%
- Molecular Biology
- Co-authors
- Eduard HovySangchul WonMadeleine van ZuylenWaleed AmmarRoy SchwartzBhavana DalviSebastian KohlmeierZhou Yu
- Topics
- Topic Modeling (25 papers)Natural Language Processing Techniques (21 papers)Recommender Systems and Techniques (5 papers)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Dongyeop Kang
53 papers receiving 442 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 339
- Information Systems 154
- Computer Vision and Pattern Recognition 88
- Industrial and Manufacturing Engineering 36
- Molecular Biology 16
Countries citing papers authored by Dongyeop Kang
This map shows the geographic impact of Dongyeop Kang'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 Dongyeop Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongyeop Kang more than expected).
Fields of papers citing papers by Dongyeop Kang
This network shows the impact of papers produced by Dongyeop Kang. 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 Dongyeop Kang. The network helps show where Dongyeop Kang may publish in the future.
Co-authorship network of co-authors of Dongyeop Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Dongyeop Kang. A scholar is included among the top collaborators of Dongyeop Kang 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 Dongyeop Kang. Dongyeop Kang 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 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 60 | |
| 16 | 54 | |
| 17 | 93 | |
| 18 | News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning | 5 |
| 19 | Robust fuzzy output feedback control for chaotic systems with time delay | 2 |
| 20 | Robust tracking control of T-S fuzzy systems based on fuzzy Lyapunov approach | 2 |
About Dongyeop Kang
Dongyeop Kang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Architecture, having authored 59 papers that have together received 467 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Natural Language Processing Techniques (21 papers) and Recommender Systems and Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (339 citations), Information Systems (154 citations) and Health Informatics (8 citations). Dongyeop Kang has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Eduard Hovy, Sangchul Won, Madeleine van Zuylen, Waleed Ammar, Roy Schwartz, Bhavana Dalvi, Sebastian Kohlmeier, Zhou Yu, Weiyan Shi and Yujin Jang. Their work appears in journals such as Applied Sciences, Optical Engineering and Advanced Materials Interfaces.
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.