Yuan Yu
- Computer Networks and Communications top 0.2%
- Information Systems top 0.1%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 2%
- Hardware and Architecture top 1%
- Co-authors
- Michael IsardDennis FetterlyMihai BudiuAndrew BirrellÚlfar ErlingssonJon CurreyYingbo HuaQifa Ke
- Topics
- Cloud Computing and Resource Management (9 papers)Parallel Computing and Optimization Techniques (8 papers)Distributed and Parallel Computing Systems (7 papers)
- Journals
- IEEE Transactions on Signal ProcessingFrontiers in PsychologyJournal of Manufacturing Systems
- Partner nations
- United StatesChinaIndia
In The Last Decade
Yuan Yu
31 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Computer Networks and Communications 2.9k
- Information Systems 2.5k
- Computer Vision and Pattern Recognition 654
- Artificial Intelligence 609
- Hardware and Architecture 604
Countries citing papers authored by Yuan Yu
This map shows the geographic impact of Yuan 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 Yuan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Yu more than expected).
Fields of papers citing papers by Yuan Yu
This network shows the impact of papers produced by Yuan 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 Yuan Yu. The network helps show where Yuan Yu may publish in the future.
Co-authorship network of co-authors of Yuan Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Yu. A scholar is included among the top collaborators of Yuan Yu 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 Yuan Yu. Yuan Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 2 | |
| 3 | 176 | |
| 4 | 25 | |
| 5 | 48 | |
| 6 | Optimizing data partitioning for data-parallel computing | 23 |
| 7 | 170 | |
| 8 | 36 | |
| 9 | 51 | |
| 10 | 1 | |
| 11 | 76 | |
| 12 | BotGraph: large scale spamming botnet detection | 121 |
| 13 | 7 | |
| 14 | 125 | |
| 15 | 78 | |
| 16 | DryadLINQ: a system for general-purpose distributed data-parallel computing using a high-level languagebreakdown → | 503 |
| 17 | 4 | |
| 18 | 3 | |
| 19 | Dryadbreakdown → | 404 |
| 20 | An integral equation approach for tunneling property of quantum dot | 1 |
About Yuan Yu
Yuan Yu is a scholar working on Hardware and Architecture, Theoretical Computer Science and Computer Networks and Communications, having authored 31 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (9 papers), Parallel Computing and Optimization Techniques (8 papers) and Distributed and Parallel Computing Systems (7 papers). The work is most often cited by research in Computer Networks and Communications (2.9k citations), Information Systems (2.5k citations) and Hardware and Architecture (604 citations). Yuan Yu has collaborated with scholars based in United States, China and India. Frequent co-authors include Michael Isard, Dennis Fetterly, Mihai Budiu, Andrew Birrell, Úlfar Erlingsson, Jon Currey, Yingbo Hua, Qifa Ke, Zhengping Qian and Yinglian Xie. Their work appears in journals such as IEEE Transactions on Signal Processing, Frontiers in Psychology and Journal of Manufacturing 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.