Young-Sung Son
Impact in
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- IoT and Edge/Fog Computing
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- Context-Aware Activity Recognition Systems
Papers in
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- Context-Aware Activity Recognition Systems 14
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- IoT and Edge/Fog Computing 10
- Energy Efficient Wireless Sensor Networks 6
- Caching and Content Delivery 4
- Co-authors
- Kyeong-Deok MoonChaekyu KimYoung‐Hee LeeJunhee ParkYann-Hang LeeDonghun LeeWu LiWei‐Tek Tsai
- Journals
- IEEE Transactions on Consumer Electronics (3 papers)Sensors (2 papers)Service Oriented Computing and Applications (1 paper)IEEE Access (1 paper)Computers and Their Applications (1 paper)
- Partner nations
- South KoreaUnited StatesFinland
In The Last Decade
Young-Sung Son
35 papers receiving 468 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Computer Networks and Communications 164
- Computer Vision and Pattern Recognition 109
- Building and Construction 69
- Control and Systems Engineering 114
- Electrical and Electronic Engineering 281
Countries citing papers authored by Young-Sung Son
This map shows the geographic impact of Young-Sung Son'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 Young-Sung Son with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-Sung Son more than expected).
Fields of papers citing papers by Young-Sung Son
This network shows the impact of papers produced by Young-Sung Son. 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 Young-Sung Son. The network helps show where Young-Sung Son may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Young-Sung Son, 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 | 2023 | 2 | |
| 2 | 2020 | 3 | |
| 3 | 2020 | 1 | |
| 4 | Sequential Neural Processes | 2019 | 14 |
| 5 | 2019 | 1 | |
| 6 | 2019 | 11 | |
| 7 | 2019 | 1 | |
| 8 | 2018 | 2 | |
| 9 | 2018 | 0 | |
| 10 | 2018 | 13 | |
| 11 | 2017 | 1 | |
| 12 | 2017 | 1 | |
| 13 | 2015 | 0 | |
| 14 | 2012 | 3 | |
| 15 | 2010 | 32 | |
| 16 | 2009 | 30 | |
| 17 | 2005 | 46 | |
| 18 | 2003 | 23 | |
| 19 | Cooperative caching framework of VOD using P2P technology. | 2001 | 1 |
| 20 | Adaptive Watermark Adjustment for VoD Clinet Buffer Management | 1999 | 0 |
About Young-Sung Son
Young-Sung Son is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, Transportation and Computer Graphics and Computer-Aided Design, having authored 39 papers that have together received 502 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (14 papers), IoT and Edge/Fog Computing (10 papers), Service-Oriented Architecture and Web Services (10 papers), Energy Efficient Wireless Sensor Networks (6 papers), Caching and Content Delivery (4 papers), IoT-based Smart Home Systems (4 papers), Reinforcement Learning in Robotics (4 papers) and Energy Harvesting in Wireless Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (164 citations), Computer Vision and Pattern Recognition (109 citations), Building and Construction (69 citations), Control and Systems Engineering (114 citations) and Electrical and Electronic Engineering (281 citations). Young-Sung Son has collaborated with scholars based in South Korea, United States and Finland. Frequent co-authors include Kyeong-Deok Moon, Chaekyu Kim, Young‐Hee Lee, Junhee Park, Yann-Hang Lee, Donghun Lee, Wu Li, Wei‐Tek Tsai, Seonghyun Kim and Jaesik Yoon. Their work appears in journals such as IEEE Transactions on Consumer Electronics, Sensors, Service Oriented Computing and Applications, IEEE Access and Computers and Their Applications.
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.