A. S. Yoon
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
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- Advanced Data Storage Technologies
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Distributed systems and fault tolerance
Papers in
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- Advanced Data Storage Technologies 2
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- Cloud Computing and Resource Management 3
- Co-authors
- Jaeheon Jeong (3 shared papers)Jeong‐Uk Kang (3 shared papers)Sangyeun Cho (3 shared papers)Insoon Jo (3 shared papers)Duck‐Ho Bae (3 shared papers)Chanho Yoon (2 shared papers)Jinyoung Lee (2 shared papers)Byungchan Kim (1 shared paper)
- Journals
- The European Physical Journal C (1 paper)Proceedings of the VLDB Endowment (1 paper)RECERCAT (Consorci de Serveis Universitaris de Catalunya) (1 paper)ACM SIGARCH Computer Architecture News (1 paper)International Conference on Learning Representations (1 paper)
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
A. S. Yoon
6 papers receiving 316 citations
Peers
Comparison fields: 5 of 31
- Hardware and Architecture 138
- Computer Networks and Communications 255
- Information Systems 111
- Computer Vision and Pattern Recognition 43
- Artificial Intelligence 66
Countries citing papers authored by A. S. Yoon
This map shows the geographic impact of A. S. Yoon'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 A. S. Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. S. Yoon more than expected).
Fields of papers citing papers by A. S. Yoon
This network shows the impact of papers produced by A. S. Yoon. 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 A. S. Yoon. The network helps show where A. S. Yoon may publish in the future.
Co-authors
The 18 scholars most cited alongside A. S. Yoon, 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 | 2016 | 136 | |
| 2 | 2016 | 82 | |
| 3 | 2016 | 76 | |
| 4 | RaPP: Novelty Detection with Reconstruction along Projection Pathway | 2020 | 26 |
| 5 | Single-inclusive production of large-pT charged particles in hadronic collisions at TeV energies and perturbative QCD predictions | 2012 | 4 |
| 6 | 2009 | 1 |
About A. S. Yoon
A. S. Yoon is a scholar working on Computer Networks and Communications, Information Systems, Nuclear and High Energy Physics, Signal Processing and Epidemiology, having authored 6 papers that have together received 325 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (3 papers), Particle physics theoretical and experimental studies (2 papers), Quantum Chromodynamics and Particle Interactions (2 papers), Advanced Data Storage Technologies (2 papers), High-Energy Particle Collisions Research (2 papers), Anomaly Detection Techniques and Applications (1 paper), Data Management and Algorithms (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Hardware and Architecture (138 citations), Computer Networks and Communications (255 citations), Information Systems (111 citations), Computer Vision and Pattern Recognition (43 citations) and Artificial Intelligence (66 citations). A. S. Yoon has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Jaeheon Jeong, Jeong‐Uk Kang, Sangyeun Cho, Insoon Jo, Duck‐Ho Bae, Chanho Yoon, Jinyoung Lee, Byungchan Kim, Ki‐Hyun Kim and Sangwoo Shim. Their work appears in journals such as The European Physical Journal C, Proceedings of the VLDB Endowment, RECERCAT (Consorci de Serveis Universitaris de Catalunya), ACM SIGARCH Computer Architecture News and International Conference on Learning Representations.
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.