Rubao Lee

2.7k citations
51 papers · 1.9k indexed · 1 hit paper · h-index 22
Topics
Advanced Data Storage Technologies (27 papers)Cloud Computing and Resource Management (25 papers)Advanced Database Systems and Queries (21 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Rubao Lee

47 papers receiving 1.8k citations

Hit Papers

Hadoop GIS20132026201720212013100200300400

Peers

Rubao Lee
Comparison fields: 5 of 80
  • Computer Networks and Communications 1.4k
  • Information Systems 849
  • Signal Processing 539
  • Hardware and Architecture 445
  • Computer Vision and Pattern Recognition 377
Replace David Lomet with:
David Lomet United States
Jens Dittrich Germany
Stefan Manegold Netherlands
Stratis D. Viglas United Kingdom
Swarup Acharya United States
Andrew Fikes United States
Yin Huai United States
Shrideep Pallickara United States
Fay W. Chang United States
Niels Nes Netherlands
Rubao Lee relative to David Lomet United States David Lomet's profile →
Citations per field
00.5×1.5×2.3×
David Lomet · 1×
Citations per year

Countries citing papers authored by Rubao Lee

Since Specialization
Citations

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

Fields of papers citing papers by Rubao Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rubao Lee. 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 Rubao Lee. The network helps show where Rubao Lee may publish in the future.

Co-authorship network of co-authors of Rubao Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Rubao Lee. A scholar is included among the top collaborators of Rubao Lee 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 Rubao Lee. Rubao Lee 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
#WorkIndexed citations
1 0
2 1
3 2
4 1
5 11
6 30
7 7
8 2
9
Spark-GPU: An accelerated in-memory data processing engine on clusters
1
10 6
11 1
12 32
13 32
14 5
15 48
16 35
17 3
18 29
19
Request Window: an approach to improve throughput of RDBMS-based data integration system by utilizing data sharing across concurrent distributed queries
15
20 1

About Rubao Lee

Rubao Lee is a scholar working on Computer Networks and Communications, Signal Processing and Hardware and Architecture, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (27 papers), Cloud Computing and Resource Management (25 papers) and Advanced Database Systems and Queries (21 papers). The work is most often cited by research in Hardware and Architecture (445 citations), Computer Networks and Communications (1.4k citations) and Signal Processing (539 citations). Rubao Lee has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Xiaodong Zhang, Xiaodong Zhang, Fusheng Wang, Feng Chen, Yin Huai, Joel Saltz, Yuan Yuan, Hoang Vo, Ablimit Aji and Qiaoling Liu. Their work appears in journals such as IEEE Transactions on Computers, Proceedings of the VLDB Endowment and ACM SIGMETRICS Performance Evaluation Review.

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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