Albert Yu
Impact in
- Hardware and Architecture top 2%
- Real-Time Systems Scheduling
- Embedded Systems Design Techniques
- Parallel Computing and Optimization Techniques
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- Distributed systems and fault tolerance
- Distributed and Parallel Computing Systems
Papers in
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- Caching and Content Delivery 4
- Peer-to-Peer Network Technologies 4
- Distributed and Parallel Computing Systems 3
- Constraint Satisfaction and Optimization 2
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- Data Management and Algorithms 4
- Co-authors
- Kuo-Yi Lin (2 shared papers)Wei Zhao (1 shared paper)J.W.S. Liu (1 shared paper)J.-Y. Chung (1 shared paper)Wen-Chieh Shih (1 shared paper)Pankaj K. Agarwal (7 shared papers)Jun Yang (2 shared papers)Yan Li (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)Field Crops Research (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)Computer (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Albert Yu
11 papers receiving 500 citations
Peers
Comparison fields: 5 of 48
- Hardware and Architecture 284
- Computer Networks and Communications 271
- Signal Processing 77
- Computational Theory and Mathematics 106
- Industrial and Manufacturing Engineering 38
Countries citing papers authored by Albert Yu
This map shows the geographic impact of Albert 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 Albert Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Yu more than expected).
Fields of papers citing papers by Albert Yu
This network shows the impact of papers produced by Albert 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 Albert Yu. The network helps show where Albert Yu may publish in the future.
Co-authors
The 20 scholars most cited alongside Albert 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 | 1991 | 366 | |
| 2 | 2019 | 95 | |
| 3 | 2012 | 50 | |
| 4 | 2015 | 10 | |
| 5 | 2008 | 7 | |
| 6 | 2014 | 6 | |
| 7 | 1992 | 5 | |
| 8 | 2011 | 3 | |
| 9 | 2012 | 3 | |
| 10 | 2002 | 3 | |
| 11 | 2012 | 1 | |
| 12 | 2025 | 1 |
About Albert Yu
Albert Yu is a scholar working on Computer Networks and Communications, Signal Processing, Hardware and Architecture, Information Systems and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 550 indexed citations. Recurring topics across this work include Data Management and Algorithms (4 papers), Caching and Content Delivery (4 papers), Peer-to-Peer Network Technologies (4 papers), Real-Time Systems Scheduling (3 papers), Distributed and Parallel Computing Systems (3 papers), Embedded Systems Design Techniques (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Constraint Satisfaction and Optimization (2 papers). The work is most often cited by research in Hardware and Architecture (284 citations), Computer Networks and Communications (271 citations), Signal Processing (77 citations), Computational Theory and Mathematics (106 citations) and Industrial and Manufacturing Engineering (38 citations). Albert Yu has collaborated with scholars based in United States and China. Frequent co-authors include Kuo-Yi Lin, Wei Zhao, J.W.S. Liu, J.-Y. Chung, Wen-Chieh Shih, Pankaj K. Agarwal, Jun Yang, Yan Li, Bin Peng and Jian Peng. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Field Crops Research, IEEE Transactions on Parallel and Distributed Systems and Computer.
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.