S. Y. Noh

7.4k total citations
49 papers, 267 citations indexed

About

S. Y. Noh is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing. According to data from OpenAlex, S. Y. Noh has authored 49 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Networks and Communications, 27 papers in Information Systems and 10 papers in Signal Processing. Recurrent topics in S. Y. Noh's work include Cloud Computing and Resource Management (23 papers), Distributed and Parallel Computing Systems (17 papers) and IoT and Edge/Fog Computing (16 papers). S. Y. Noh is often cited by papers focused on Cloud Computing and Resource Management (23 papers), Distributed and Parallel Computing Systems (17 papers) and IoT and Edge/Fog Computing (16 papers). S. Y. Noh collaborates with scholars based in South Korea, United States and Pakistan. S. Y. Noh's co-authors include Shashi K. Gadia, S. Timm, Gabriele Garzoglio, K. Chadwick, Hao Wu, Moon-Hyun Kim, Taehyung Kim, Jin Kim, S. Bae and Wenji Wu and has published in prestigious journals such as IEEE Access, Applied Sciences and Journal of Network and Computer Applications.

In The Last Decade

S. Y. Noh

44 papers receiving 251 citations

Peers

S. Y. Noh
Bart Samwel Netherlands
Thierry Cruanes United States
K. R. Jayaram United States
Jeff Shute United States
Benoît Dageville United States
S. Y. Noh
Citations per year, relative to S. Y. Noh S. Y. Noh (= 1×) peers Antony Martin

Countries citing papers authored by S. Y. Noh

Since Specialization
Citations

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

Fields of papers citing papers by S. Y. Noh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Y. Noh. 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 S. Y. Noh. The network helps show where S. Y. Noh may publish in the future.

Co-authorship network of co-authors of S. Y. Noh

This figure shows the co-authorship network connecting the top 25 collaborators of S. Y. Noh. A scholar is included among the top collaborators of S. Y. Noh 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 S. Y. Noh. S. Y. Noh 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
2.
Shin, Jong Chul, et al.. (2024). PVA: The Persistent Volume Autoscaler for Stateful Applications in Kubernetes. IEEE Access. 12. 179130–179143. 3 indexed citations
4.
Kim, Moon-Hyun, et al.. (2021). Performance Evaluations of Distributed File Systems for Scientific Big Data in FUSE Environment. Electronics. 10(12). 1471–1471. 5 indexed citations
5.
Noh, S. Y., et al.. (2020). Log Analysis-Based Resource and Execution Time Improvement in HPC: A Case Study. Applied Sciences. 10(7). 2634–2634. 2 indexed citations
7.
Kim, Young‐Kuk, et al.. (2016). A Self Synchronization Mechanism in a Federated Cloud. International Journal of Software Engineering and Its Applications. 10(1). 233–240.
8.
Noh, S. Y., et al.. (2016). Performance Analysis of NAS and SAN Storage for Scientific Workflow. 1–4. 5 indexed citations
9.
Noh, S. Y., et al.. (2015). Power efficient virtual machine migration in a scientific federated cloud. Cluster Computing. 18(2). 609–618. 4 indexed citations
10.
Timm, S., Gabriele Garzoglio, Parag Mhashilkar, et al.. (2015). Cloud services for the Fermilab scientific stakeholders. Journal of Physics Conference Series. 664(2). 22039–22039. 3 indexed citations
11.
Wu, Hao, Shangping Ren, S. Timm, Gabriele Garzoglio, & S. Y. Noh. (2015). Experimental Study of Bidding Strategies for Scientific Workflows using AWS Spot Instances. 5 indexed citations
12.
Timm, S., K. Chadwick, Gabriele Garzoglio, & S. Y. Noh. (2014). Grids, virtualization, and clouds at Fermilab. Journal of Physics Conference Series. 513(3). 32037–32037. 4 indexed citations
13.
Noh, S. Y., et al.. (2014). Matrix-based Data Center Selection Algorithm for a Federated Cloud. International Journal of Multimedia and Ubiquitous Engineering. 9(6). 153–158. 3 indexed citations
14.
Noh, S. Y., et al.. (2014). Cost and performance effective data center selection system for scientific federated cloud. Peer-to-Peer Networking and Applications. 8(5). 896–902. 15 indexed citations
15.
Wu, Hao, Shangping Ren, Gabriele Garzoglio, et al.. (2013). Automatic Cloud Bursting under FermiCloud. 681–686. 10 indexed citations
16.
Noh, S. Y., et al.. (2013). Effective Data Center Selection Algorithm for a Federated Cloud. 66–69. 4 indexed citations
17.
Noh, S. Y., et al.. (2007). An XML-based methodology for parametric temporal database model implementation. Journal of Systems and Software. 81(6). 929–948. 11 indexed citations
18.
Noh, S. Y., et al.. (2006). A Lightweight Program Similarity Detection Model using XML and Levenshtein Distance.. 3–9. 10 indexed citations
19.
Noh, S. Y. & Shashi K. Gadia. (2005). The Usability of XML in Parametric Databases for Temporal Data.. 113–119. 2 indexed citations
20.
Noh, S. Y. & Shashi K. Gadia. (2003). RAST: Requirement Analysis Support Tool based on Linguistic Information. Iowa State University Digital Repository (Iowa State University). 2 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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