Aibo Song

935 citations
67 papers · 609 indexed · h-index 12
Topics
Cloud Computing and Resource Management (28 papers)Distributed and Parallel Computing Systems (25 papers)Caching and Content Delivery (12 papers)
Partner nations
ChinaBangladeshAustralia

In The Last Decade

Aibo Song

58 papers receiving 575 citations

Peers

Aibo Song
Comparison fields: 5 of 83
  • Computer Networks and Communications 360
  • Information Systems 357
  • Artificial Intelligence 155
  • Computer Vision and Pattern Recognition 55
  • Signal Processing 50
Replace Guillaume Jourjon with:
Guillaume Jourjon Australia
Wenyun Dai United States
Fawzy A. Torkey Egypt
Paul Castro United States
Alexandru Costan France
Aaron Harwood Australia
Raimo Kantola Finland
Yoon-Joon Lee South Korea
Jeremy Singer United Kingdom
Chittaranjan Hota India
Aibo Song relative to Guillaume Jourjon Australia Guillaume Jourjon's profile →
Citations per field
00.5×1.5×1.8×
Guillaume Jourjon · 1×
Citations per year

Countries citing papers authored by Aibo Song

Since Specialization
Citations

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

Fields of papers citing papers by Aibo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aibo Song

This figure shows the co-authorship network connecting the top 25 collaborators of Aibo Song. A scholar is included among the top collaborators of Aibo Song 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 Aibo Song. Aibo Song 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 2
2 1
3 4
4 10
5 2
6 6
7 9
8 18
9 6
10 1
11 3
12 0
13 71
14
QoS preference-aware replica selection strategy in cloud computing
9
15
Cloud computing:architecture and key technologies
71
16 68
17 8
18 1
19
Colored Petri Nets based Dynamic Multi-agent Scheduling Modeling and Analysis
2
20
Mesh-based resource discovery framework in grid environment
1

About Aibo Song

Aibo Song is a scholar working on Computer Networks and Communications, Information Systems and Information Systems and Management, having authored 67 papers that have together received 609 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (28 papers), Distributed and Parallel Computing Systems (25 papers) and Caching and Content Delivery (12 papers). The work is most often cited by research in Information Systems (357 citations), Computer Networks and Communications (360 citations) and Information Systems and Management (36 citations). Aibo Song has collaborated with scholars based in China, Bangladesh and Australia. Frequent co-authors include Junzhou Luo, Fang Dong, Jiahui Jin, Runqun Xiong, Zhiang Wu, Jinghui Zhang, Yuxiang Wang, Jiuxin Cao, Yingying Xue and Jie Cao. Their work appears in journals such as Expert Systems with Applications, Sensors and RSC Advances.

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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