Chan‐Hyun Youn

2.1k citations
143 papers · 1.4k indexed · h-index 17

Chan‐Hyun Youn

124 papers receiving 1.3k citations

Peers

Chan‐Hyun Youn
Comparison fields: 5 of 113
  • Computer Networks and Communications 710
  • Health Information Management 110
  • Information Systems 349
  • Computer Vision and Pattern Recognition 192
  • Acoustics and Ultrasonics 8
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Citations per field
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Citations per year

Countries citing papers authored by Chan‐Hyun Youn

Since Specialization
Citations

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

Fields of papers citing papers by Chan‐Hyun Youn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan‐Hyun Youn. 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 Chan‐Hyun Youn. The network helps show where Chan‐Hyun Youn may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Chan‐Hyun Youn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chan‐Hyun Youn Line = papers co-authored together Chan‐Hyun Youn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20213
4 201968
5 201857
6 201825
7 20182
8 201615
9 20163
10 201612
11 20159
12 201418
13 201311
14 201216
15 201238
16 20085
17
Surrogate Integrated PQRM and Its Replication Scheme in Wireless Grid(Computer Systems)
20063
18
Grid Policy Administrator with MDP-Based Resource Management Scheme.
20064
19
Dual DEB-GPS Scheduler for Delay-Constraint Applications in Ethernet Passive Optical Networks
200326
20
CNV BASED INTERMEDIA SYNCHRONIZATION MECHANISM UNDER HIGH-SPEED COMMUNICATION ENVIRONMENT
19930

About Chan‐Hyun Youn

Chan‐Hyun Youn is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems and Management, Information Systems and Health Information Management, having authored 143 papers that have together received 1.4k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (39 papers), Cloud Computing and Resource Management (32 papers), Advanced Neural Network Applications (17 papers), IoT and Edge/Fog Computing (16 papers), Caching and Content Delivery (15 papers), Parallel Computing and Optimization Techniques (13 papers), Peer-to-Peer Network Technologies (12 papers) and Advanced Optical Network Technologies (11 papers). The work is most often cited by research in Computer Networks and Communications (710 citations), Health Information Management (110 citations), Information Systems (349 citations), Computer Vision and Pattern Recognition (192 citations) and Acoustics and Ultrasonics (8 citations). Chan‐Hyun Youn has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Min Chen, Seong-Hwan Kim, Di Wu, Yin Zhang⋆, Yujun Ma, Yong Li, Dong-Ki Kang, Yuyang Peng, Jun Yang and Yixue Hao. Their work appears in journals such as IEEE Access, Mobile Networks and Applications, IEEE Communications Magazine, European Transactions on Telecommunications and Electronics Letters.

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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