Se-Hyun Yang

18 papers receiving 946 citations

Hit Papers

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Peers

Se-Hyun Yang
Comparison fields: 5 of 27
  • Hardware and Architecture 803
  • Electrical and Electronic Engineering 682
  • Computer Networks and Communications 520
  • Information Systems 45
  • Biomedical Engineering 27
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Citations per field
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Citations per year

Countries citing papers authored by Se-Hyun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Se-Hyun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Se-Hyun Yang. 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 Se-Hyun Yang. The network helps show where Se-Hyun Yang may publish in the future.

Co-authorship network of co-authors of Se-Hyun Yang

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 6
2 13
3 2
4 1
5
Architecture Exploration and Performance Verification Environments of Multi-Core SOC for Mobile Multimedia Embedded Systems
3
6 88
7 95
8 2
9 7
10
Performance and Energy Trade-Offs of Bitline Isolation in Nanoscale CMOS Caches
1
11 18
12
An Energy-Efficient High-Performance Deep-Submicron Instruction Cache
5
13 61
14 227
15
Dynamically Resizable Instruction Cache: An Energy-Efficient and High-Performance Deep-Submicron Instruction Cache
4
16
Dynamically Resizable Instruction Cache: A Design for an Energy-Efficient and High-Performance Deep-Submicron Instruction Cache
1
17
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478
18 2

About Se-Hyun Yang

Se-Hyun Yang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Low-power high-performance VLSI design (12 papers) and Advanced Memory and Neural Computing (6 papers). The work is most often cited by research in Hardware and Architecture (803 citations), Computer Networks and Communications (520 citations) and Electrical and Electronic Engineering (682 citations). Se-Hyun Yang has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Babak Falsafi, Michael D. Powell, T. N. Vijaykumar, Kaushik Roy, Kaushik Roy, T.N. Vijaykumar, Andreas Moshovos, Nandita Vijaykumar, Lee Seogjun and Jeongnam Youn. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and International Journal of Uncertainty Fuzziness and Knowledge-Based Systems.

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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