Jaesung Rim

661 total citations
8 papers, 54 citations indexed

About

Jaesung Rim is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Jaesung Rim has authored 8 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 1 paper in Signal Processing and 1 paper in Artificial Intelligence. Recurrent topics in Jaesung Rim's work include Advanced Image Processing Techniques (4 papers), Image and Signal Denoising Methods (3 papers) and Advanced Vision and Imaging (2 papers). Jaesung Rim is often cited by papers focused on Advanced Image Processing Techniques (4 papers), Image and Signal Denoising Methods (3 papers) and Advanced Vision and Imaging (2 papers). Jaesung Rim collaborates with scholars based in South Korea, Germany and Canada. Jaesung Rim's co-authors include Sunghyun Cho, Chulhee Lee, Seoin Baek, Suha Kwak, Geonu Kim, Kyoung Mu Lee, SoHyun Lee, Jungchul Lee, JoonOh Seo and Seung Won Lee and has published in prestigious journals such as Computer Methods and Programs in Biomedicine.

In The Last Decade

Jaesung Rim

7 papers receiving 51 citations

Peers

Jaesung Rim
Jaesung Rim
Citations per year, relative to Jaesung Rim Jaesung Rim (= 1×) peers Xianhui Lin

Countries citing papers authored by Jaesung Rim

Since Specialization
Citations

This map shows the geographic impact of Jaesung Rim'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 Jaesung Rim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaesung Rim more than expected).

Fields of papers citing papers by Jaesung Rim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaesung Rim. 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 Jaesung Rim. The network helps show where Jaesung Rim may publish in the future.

Co-authorship network of co-authors of Jaesung Rim

This figure shows the co-authorship network connecting the top 25 collaborators of Jaesung Rim. A scholar is included among the top collaborators of Jaesung Rim 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 Jaesung Rim. Jaesung Rim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Conde, Marcos V., et al.. (2025). Efficient Real-World Deblurring Using Single Images: AIM 2025 Challenge Report. 5772–5780. 3 indexed citations
2.
Rim, Jaesung, et al.. (2025). Gyro-based Neural Single Image Deblurring. 23111–23120. 1 indexed citations
3.
Rim, Jaesung, et al.. (2024). Deep Hybrid Camera Deblurring for Smartphone Cameras. 1–11.
4.
Lee, SoHyun, et al.. (2023). Human Pose Estimation in Extremely Low-Light Conditions. 704–714. 17 indexed citations
5.
Rim, Jaesung, et al.. (2023). ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images. 17593–17602. 11 indexed citations
6.
Lee, Seung Won, Jei Keon Chae, Jaesung Rim, et al.. (2019). Automatic matching of computed tomography and stereolithography data. Computer Methods and Programs in Biomedicine. 175. 215–222. 4 indexed citations
8.
Lee, Chulhee, et al.. (2017). Comparison of objective quality models for adaptive bit-streaming services. 1–4. 16 indexed citations

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.

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