Joohee Kim
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Y. AltunbasakR.M. MersereauChen ZhangMarios C. PapaefthymiouYing LiuByung-Chull BaeJun GuoChen Fu
- Topics
- Advanced Neural Network Applications (17 papers)Advanced Vision and Imaging (17 papers)Advanced Data Compression Techniques (15 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Joohee Kim
71 papers receiving 550 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 413
- Signal Processing 175
- Computer Networks and Communications 126
- Electrical and Electronic Engineering 119
- Artificial Intelligence 63
Countries citing papers authored by Joohee Kim
This map shows the geographic impact of Joohee Kim'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 Joohee Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joohee Kim more than expected).
Fields of papers citing papers by Joohee Kim
This network shows the impact of papers produced by Joohee Kim. 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 Joohee Kim. The network helps show where Joohee Kim may publish in the future.
Co-authorship network of co-authors of Joohee Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Joohee Kim. A scholar is included among the top collaborators of Joohee Kim 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 Joohee Kim. Joohee Kim 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 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | MobileSense: A robust sound classification system for mobile applications | 3 |
| 14 | A Network Monitoring Tool for CCN | 6 |
| 15 | A Study on the Development of the Scarf Design Utilizing Traditional Patchwork in Korea - Focusing on Composition of Pattern - | 1 |
| 16 | The Culture of Childbirth among Young Urban Korean Women: The Perspective of Culture Change | 4 |
| 17 | 9 | |
| 18 | 39 | |
| 19 | 97 | |
| 20 | 20 |
About Joohee Kim
Joohee Kim is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 80 papers that have together received 574 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (17 papers), Advanced Vision and Imaging (17 papers) and Advanced Data Compression Techniques (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (413 citations), Signal Processing (175 citations) and Computer Networks and Communications (126 citations). Joohee Kim has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Y. Altunbasak, R.M. Mersereau, Chen Zhang, Marios C. Papaefthymiou, Ying Liu, Byung-Chull Bae, Jun Guo, Chen Fu, Yun‐Sik Lee and Jun‐Dong Cho. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Sensors.
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.