Jae‐Gon Kim

970 total citations
89 papers, 588 citations indexed

About

Jae‐Gon Kim is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Jae‐Gon Kim has authored 89 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 56 papers in Signal Processing and 15 papers in Sociology and Political Science. Recurrent topics in Jae‐Gon Kim's work include Video Coding and Compression Technologies (52 papers), Advanced Vision and Imaging (25 papers) and Image and Video Quality Assessment (24 papers). Jae‐Gon Kim is often cited by papers focused on Video Coding and Compression Technologies (52 papers), Advanced Vision and Imaging (25 papers) and Image and Video Quality Assessment (24 papers). Jae‐Gon Kim collaborates with scholars based in South Korea, United States and China. Jae‐Gon Kim's co-authors include Shih‐Fu Chang, Jinwoong Kim, Hyun Sung Chang, Debargha Mukherjee, Yong Wang, Yong Wang, Jung Won Kang, Truong Cong Thang, Jin‐Woo Hong and Hee-Kyung Lee and has published in prestigious journals such as IEEE Access, Sensors and IEEE Signal Processing Magazine.

In The Last Decade

Jae‐Gon Kim

73 papers receiving 518 citations

Peers

Jae‐Gon Kim
Jae‐Gon Kim
Citations per year, relative to Jae‐Gon Kim Jae‐Gon Kim (= 1×) peers Yousef Sharrab

Countries citing papers authored by Jae‐Gon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Gon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jae‐Gon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Gon Kim. A scholar is included among the top collaborators of Jae‐Gon 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 Jae‐Gon Kim. Jae‐Gon 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.
Lee, Gwangsoon, et al.. (2024). An Efficient Compression Method of 3D INVR Model Utilizing Feature Reduction Network and VVC. Journal of Broadcast Engineering. 29(4). 408–416. 1 indexed citations
2.
Lee, Gwangsoon, et al.. (2024). Compression method of NeRF model using NNC and VVC. 107–107.
3.
Kim, Jae‐Gon, et al.. (2023). Feature-Domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution. IEEE Access. 11. 131885–131896. 4 indexed citations
4.
Oh, Byung Tae, et al.. (2023). Coarse-to-Fine Network-Based Intra Prediction in Versatile Video Coding. Sensors. 23(23). 9452–9452.
5.
Lee, Jooyoung, et al.. (2023). An Efficient Multi-Scale Feature Compression With QP-Adaptive Feature Channel Truncation for Video Coding for Machines. IEEE Access. 11. 92443–92458. 2 indexed citations
6.
Kim, Jae‐Gon, et al.. (2020). Compression and Performance Evaluation of CNN Models on Embedded Board. Journal of Broadcast Engineering. 25(2). 200–207. 2 indexed citations
7.
Kim, Jae‐Gon, et al.. (2020). An Atlas Generation Method with Tiny Blocks Removal for Efficient 3DoF+ Video Coding. Journal of Broadcast Engineering. 25(5). 665–671.
8.
Kim, Jae‐Gon, et al.. (2018). CNN-Based Hand Gesture Recognition for Wearable Applications. Journal of Broadcast Engineering. 23(2). 246–252. 1 indexed citations
9.
Kim, Jae‐Gon, et al.. (2018). An architecture and Design of Data Converter for IoT-Based Smart Farm. International Journal of Smart Home. 12(4). 7–12. 3 indexed citations
10.
Kim, Jae‐Gon, et al.. (2013). Fast transform unit decision for HEVC. 26–30. 6 indexed citations
11.
Kim, Jin‐Soo, et al.. (2013). Pixel‐domain Wyner‐Ziv residual video coder with adaptive binary‐to‐Gray code converting process. Electronics Letters. 49(3). 189–190. 2 indexed citations
12.
Kim, Jae‐Gon, et al.. (2010). Adaptation of Scalable Video Coding to packet loss and its performance analysis. 1. 696–700. 4 indexed citations
13.
Kim, Jae‐Gon, et al.. (2009). Adaptation of SVC to Packet Loss and its Performance Analysis. Journal of Broadcast Engineering. 14(6). 796–806. 2 indexed citations
14.
Kim, Jae‐Gon, et al.. (2007). Improved Redundant Picture Coding Using Polyphase Downsampling for H.264. ETRI Journal. 29(1). 18–26. 1 indexed citations
15.
Thang, Truong Cong, Young Kim, Yong Man Ro, Jungwon Kang, & Jae‐Gon Kim. (2006). SVC bitstream adaptation in MPEG-21 multimedia framework. Journal of Zhejiang University. Science A. 7(5). 764–772. 8 indexed citations
16.
17.
Kim, Jae‐Gon, et al.. (2004). Metadata Broadcasting for Personalized Service: a Practical Solution. ETRI Journal. 26(5). 452–466. 11 indexed citations
18.
Park, Jeong‐Yeol, et al.. (2003). A STUDY ON THE SIZE OF THE PERMANENT TEETH. THE JOURNAL OF THE KOREAN ACADEMY OF PEDTATRIC DENTISTRY. 30(3). 502–509. 3 indexed citations
19.
Chang, Hyun Sung, et al.. (2003). Authoring Content Descriptive Metadata in a Visual Framework. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 1254–1257.
20.
Kim, Jae‐Gon, et al.. (2003). Summarization of news video and its description for content‐based access. International Journal of Imaging Systems and Technology. 13(5). 267–274. 15 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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