D. Yu
Impact in
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- Dark Matter and Cosmic Phenomena
- Particle physics theoretical and experimental studies
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- Cosmology and Gravitation Theories
Papers in
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- Distributed and Parallel Computing Systems 4
- Advanced Data Storage Technologies 2
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- Particle physics theoretical and experimental studies 2
- Dark Matter and Cosmic Phenomena 1
- Co-authors
- Richard F. Bradley (1 shared paper)Leanne Duffy (1 shared paper)D. Kinion (1 shared paper)C. Hagmann (1 shared paper)L. J. Rosenberg (1 shared paper)S. J. Asztalos (1 shared paper)D. B. Tanner (1 shared paper)K. van Bibber (1 shared paper)
- Journals
- Computers & Mathematics with Applications (1 paper)Physical Review Letters (1 paper)Journal of Physics Conference Series (2 papers)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)
- Partner nations
- United States
In The Last Decade
D. Yu
5 papers receiving 70 citations
Peers
Comparison fields: 5 of 17
- Nuclear and High Energy Physics 45
- Astronomy and Astrophysics 32
- Information Systems and Management 13
- Hardware and Architecture 12
- Computer Networks and Communications 31
Countries citing papers authored by D. Yu
This map shows the geographic impact of D. Yu'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 D. Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Yu more than expected).
Fields of papers citing papers by D. Yu
This network shows the impact of papers produced by D. Yu. 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 D. Yu. The network helps show where D. Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Yu, 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 | 2005 | 42 | |
| 2 | 2014 | 24 | |
| 3 | 2009 | 8 | |
| 4 | 1992 | 2 | |
| 5 | 2012 | 1 | |
| 6 | 2014 | 0 |
About D. Yu
D. Yu is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Astronomy and Astrophysics, Control and Systems Engineering and Information Systems, having authored 6 papers that have together received 77 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (4 papers), Particle physics theoretical and experimental studies (2 papers), Advanced Data Storage Technologies (2 papers), Scientific Computing and Data Management (1 paper), Cloud Computing and Resource Management (1 paper), Cosmology and Gravitation Theories (1 paper), Dark Matter and Cosmic Phenomena (1 paper) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (45 citations), Astronomy and Astrophysics (32 citations), Information Systems and Management (13 citations), Hardware and Architecture (12 citations) and Computer Networks and Communications (31 citations). D. Yu has collaborated with scholars based in United States. Frequent co-authors include Richard F. Bradley, Leanne Duffy, D. Kinion, C. Hagmann, L. J. Rosenberg, S. J. Asztalos, D. B. Tanner, K. van Bibber, P. Sikivie and Thomas G. Robertazzi. Their work appears in journals such as Computers & Mathematics with Applications, Physical Review Letters, Journal of Physics Conference Series and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.