Joonho Song
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
Papers in
-
- Advanced Data Compression Techniques 5
- Advanced Neural Network Applications 5
- Image and Video Quality Assessment 4
-
- Video Coding and Compression Technologies 8
- Co-authors
- Sehwan Lee (2 shared papers)Jun‐Seok Park (2 shared papers)Inyup Kang (2 shared papers)Jae-Gon Lee (1 shared paper)Sukhan Lee (3 shared papers)Kyomin Sohn (4 shared papers)Yeongon Cho (4 shared papers)Jeong‐Hyeon Cho (4 shared papers)
- Journals
- IEEE Micro (2 papers)IEEE Transactions on Dependable and Secure Computing (1 paper)EURASIP Journal on Image and Video Processing (1 paper)Materials Today Communications (1 paper)Design, Automation, and Test in Europe (1 paper)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Joonho Song
16 papers receiving 325 citations
Peers
Comparison fields: 5 of 35
- Hardware and Architecture 112
- Computational Mathematics 4
- Computer Vision and Pattern Recognition 111
- Computer Networks and Communications 91
- Electrical and Electronic Engineering 190
Countries citing papers authored by Joonho Song
This map shows the geographic impact of Joonho Song'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 Joonho Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joonho Song more than expected).
Fields of papers citing papers by Joonho Song
This network shows the impact of papers produced by Joonho Song. 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 Joonho Song. The network helps show where Joonho Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Joonho Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 106 | |
| 2 | 2021 | 81 | |
| 3 | 2021 | 46 | |
| 4 | 2021 | 40 | |
| 5 | 2022 | 32 | |
| 6 | 2010 | 9 | |
| 7 | 2010 | 7 | |
| 8 | 2011 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2013 | 2 | |
| 11 | 2012 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2008 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2023 | 0 | |
| 19 | 2015 | 0 | |
| 20 | 2012 | 0 |
About Joonho Song
Joonho Song is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Electrical and Electronic Engineering, Hardware and Architecture and Artificial Intelligence, having authored 20 papers that have together received 338 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (8 papers), Advanced Data Compression Techniques (5 papers), Advanced Memory and Neural Computing (5 papers), Advanced Neural Network Applications (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Image and Video Quality Assessment (4 papers), Parallel Computing and Optimization Techniques (3 papers) and Multimedia Communication and Technology (3 papers). The work is most often cited by research in Hardware and Architecture (112 citations), Computational Mathematics (4 citations), Computer Vision and Pattern Recognition (111 citations), Computer Networks and Communications (91 citations) and Electrical and Electronic Engineering (190 citations). Joonho Song has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Sehwan Lee, Jun‐Seok Park, Inyup Kang, Jae-Gon Lee, Sukhan Lee, Kyomin Sohn, Yeongon Cho, Jeong‐Hyeon Cho, Nam Sung Kim and Seungwon Lee. Their work appears in journals such as IEEE Micro, IEEE Transactions on Dependable and Secure Computing, EURASIP Journal on Image and Video Processing, Materials Today Communications and Design, Automation, and Test in Europe.
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.