Junhwa Hur
- Computer Vision and Pattern Recognition top 5%
- Automotive Engineering top 5%
- Artificial Intelligence
- Environmental Engineering
- Control and Systems Engineering
- Co-authors
- Seung‐Woo SeoHwasup LimChang‐Soo ParkSang Chul AhnCharles HerrmannInbar MosseriMichael RubinsteinOliver Wang
- Topics
- Advanced Vision and Imaging (7 papers)Advanced Image Processing Techniques (2 papers)Video Surveillance and Tracking Methods (2 papers)
- Cited by
- Automotive EngineeringComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Journals
- International Journal of Computer Vision2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Junhwa Hur
10 papers receiving 228 citations
Hit Papers
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 177
- Automotive Engineering 125
- Artificial Intelligence 40
- Environmental Engineering 35
- Control and Systems Engineering 28
Countries citing papers authored by Junhwa Hur
This map shows the geographic impact of Junhwa Hur'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 Junhwa Hur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhwa Hur more than expected).
Fields of papers citing papers by Junhwa Hur
This network shows the impact of papers produced by Junhwa Hur. 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 Junhwa Hur. The network helps show where Junhwa Hur may publish in the future.
Co-authorship network of co-authors of Junhwa Hur
This figure shows the co-authorship network connecting the top 25 collaborators of Junhwa Hur. A scholar is included among the top collaborators of Junhwa Hur 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 Junhwa Hur. Junhwa Hur 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 | 6 | |
| 3 | 11 | |
| 4 | Lumiere: A Space-Time Diffusion Model for Video Generationbreakdown → | 45 |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 28 | |
| 9 | 43 | |
| 10 | 88 |
About Junhwa Hur
Junhwa Hur is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 10 papers that have together received 233 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Advanced Image Processing Techniques (2 papers) and Video Surveillance and Tracking Methods (2 papers). The work is most often cited by research in Automotive Engineering (125 citations), Computer Vision and Pattern Recognition (177 citations) and Computer Graphics and Computer-Aided Design (11 citations). Junhwa Hur has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Seung‐Woo Seo, Hwasup Lim, Chang‐Soo Park, Sang Chul Ahn, Charles Herrmann, Inbar Mosseri, Michael Rubinstein, Oliver Wang, Shiran Zada and Hila Chefer. Their work appears in journals such as International Journal of Computer Vision and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.