Eunwoo Kim

452 total citations
38 papers, 317 citations indexed

About

Eunwoo Kim is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Eunwoo Kim has authored 38 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 5 papers in Cognitive Neuroscience. Recurrent topics in Eunwoo Kim's work include Domain Adaptation and Few-Shot Learning (13 papers), Advanced Neural Network Applications (9 papers) and Multimodal Machine Learning Applications (6 papers). Eunwoo Kim is often cited by papers focused on Domain Adaptation and Few-Shot Learning (13 papers), Advanced Neural Network Applications (9 papers) and Multimodal Machine Learning Applications (6 papers). Eunwoo Kim collaborates with scholars based in South Korea, United States and Germany. Eunwoo Kim's co-authors include Songhwai Oh, Sungjoon Choi, Minsik Lee, Yong Man Ro, HyunWook Park, Kyungjae Lee, Yong Ju Jung, Dongchan Kim, Nojun Kwak and Chong‐Ho Choi and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Eunwoo Kim

30 papers receiving 307 citations

Peers

Eunwoo Kim
Chengying Gao China
Jungchan Cho South Korea
Weizhi Lu China
Wey-Shiuan Hwang United States
Bipin Suresh United States
Yuxuan Wei China
Roger Achkar Lebanon
Yi Zhan China
Chengying Gao China
Eunwoo Kim
Citations per year, relative to Eunwoo Kim Eunwoo Kim (= 1×) peers Chengying Gao

Countries citing papers authored by Eunwoo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eunwoo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunwoo Kim

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

All Works

20 of 20 papers shown
1.
Suh, Sungho, et al.. (2025). Exploration and exploitation in continual learning. Neural Networks. 188. 107444–107444.
2.
3.
Kim, Eunwoo, et al.. (2025). Dataset condensation with coarse-to-fine regularization. Pattern Recognition Letters. 188. 178–184.
4.
Kim, Eunwoo, et al.. (2025). GODiff: Region-Specific Semantic Editing With CLIP-Guided Diffusion Models. IEEE Access. 13. 112818–112834.
5.
Park, Chanjong & Eunwoo Kim. (2024). Self-supervised learning with automatic data augmentation for enhancing representation. Pattern Recognition Letters. 184. 133–139. 2 indexed citations
6.
7.
Kim, Eunwoo, et al.. (2024). NeRF-DA: Neural Radiance Fields Deblurring With Active Learning. IEEE Signal Processing Letters. 32. 261–265.
8.
Han, Jieun, et al.. (2024). Task Planning for Long-Horizon Cooking Tasks Based on Large Language Models. 13613–13619. 2 indexed citations
9.
Kim, Eunwoo, et al.. (2023). Task-Aware Dynamic Model Optimization for Multi-Task Learning. IEEE Access. 11. 137709–137717. 1 indexed citations
10.
Kim, Eunwoo, et al.. (2022). Improving Augmentation Efficiency for Few-Shot Learning. IEEE Access. 10. 17697–17706. 8 indexed citations
11.
Yun, Kimin, et al.. (2022). Gating Mechanism in Deep Neural Networks for Resource-Efficient Continual Learning. IEEE Access. 10. 18776–18786. 1 indexed citations
12.
Kim, Eunwoo. (2022). Adaptive Dynamic Search for Multi-Task Learning. Applied Sciences. 12(22). 11836–11836.
13.
Kim, Eunwoo, et al.. (2019). Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks. 6 indexed citations
14.
Kim, Eunwoo & Hyunwook Park. (2016). Pairwise Classifier Ensemble with Adaptive Sub-Classifiers for fMRI Pattern Analysis. Neuroscience Bulletin. 33(1). 41–52. 1 indexed citations
15.
Choi, Sungjoon, Eunwoo Kim, Kyungjae Lee, & Songhwai Oh. (2016). Real-time nonparametric reactive navigation of mobile robots in dynamic environments. Robotics and Autonomous Systems. 91. 11–24. 22 indexed citations
16.
Kim, Eunwoo, Minsik Lee, & Songhwai Oh. (2016). Robust Elastic-Net Subspace Representation. IEEE Transactions on Image Processing. 25(9). 1–1. 9 indexed citations
17.
Kim, Eunwoo & Songhwai Oh. (2015). Robust orthogonal matrix factorization for efficient subspace learning. Neurocomputing. 167. 218–229. 3 indexed citations
18.
Kim, Dongchan, Yong Ju Jung, Yeji Han, et al.. (2014). fMRI analysis of excessive binocular disparity on the human brain. International Journal of Imaging Systems and Technology. 24(1). 94–102. 11 indexed citations
19.
Kim, Eunwoo, Minsik Lee, Chong‐Ho Choi, Nojun Kwak, & Songhwai Oh. (2014). Efficient <inline-formula> <tex-math notation="LaTeX">$l_{1}$ </tex-math></inline-formula>-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method. IEEE Transactions on Neural Networks and Learning Systems. 26(2). 237–251. 30 indexed citations
20.
Ahmad, Fayyaz, Muhammad Maqbool, Eunwoo Kim, Hyunwook Park, & Dae‐Shik Kim. (2012). An efficient method for effective connectivity of brain regions. Concepts in Magnetic Resonance Part A. 40A(1). 14–24. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chengying Gao Breakdown of academic impact, for papers by Jungchan Cho Breakdown of academic impact, for papers by Weizhi Lu Breakdown of academic impact, for papers by Wey-Shiuan Hwang Breakdown of academic impact, for papers by Bipin Suresh Breakdown of academic impact, for papers by Yuxuan Wei Breakdown of academic impact, for papers by Roger Achkar Breakdown of academic impact, for papers by Yi Zhan
Rankless by CCL
2026