Weijia Song

1.3k total citations · 1 hit paper
23 papers, 959 citations indexed

About

Weijia Song is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Weijia Song has authored 23 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 16 papers in Information Systems and 3 papers in Hardware and Architecture. Recurrent topics in Weijia Song's work include Cloud Computing and Resource Management (15 papers), Distributed systems and fault tolerance (7 papers) and IoT and Edge/Fog Computing (6 papers). Weijia Song is often cited by papers focused on Cloud Computing and Resource Management (15 papers), Distributed systems and fault tolerance (7 papers) and IoT and Edge/Fog Computing (6 papers). Weijia Song collaborates with scholars based in United States, China and Italy. Weijia Song's co-authors include Zhen Xiao, Qi Chen, Haipeng Luo, Robbert van Renesse, Hakim Weatherspoon, Zhiming Shen, Ken Birman, Le Thanh Tan, Hao Ma and Luca Foschini and has published in prestigious journals such as Applied Physics Letters, IEEE Transactions on Computers and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Weijia Song

23 papers receiving 887 citations

Hit Papers

Dynamic Resource Allocation Using Virtual Machines for Cl... 2012 2026 2016 2021 2012 200 400 600

Peers

Weijia Song
Comparison fields: 5 of 41
  • Computer Networks and Communications 826
  • Information Systems 808
  • Artificial Intelligence 92
  • Electrical and Electronic Engineering 70
  • Computer Vision and Pattern Recognition 49
Replace Ahmed Ali-Eldin with:
Ahmed Ali-Eldin Sweden
Umesh Bellur India
Rahul Ghosh United States
Dazhao Cheng China
Yongqiang Gao China
Stuart Clayman United Kingdom
Luís Veiga Portugal
Shadi Ibrahim France
Xiaojun Ruan United States
Tania Lorido-Botrán Spain
Ahmed Ali-Eldin Sweden View profile →
Citations per field, relative to Weijia Song
Weijia Song · 1×
Citations per year, relative to Weijia Song
Weijia Song · 1×

Countries citing papers authored by Weijia Song

Since Specialization
Citations

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

Fields of papers citing papers by Weijia Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijia Song

This figure shows the co-authorship network connecting the top 25 collaborators of Weijia Song. A scholar is included among the top collaborators of Weijia 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 Weijia Song. Weijia 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
# Work Indexed citations
1 2
2 1
3 4
4 3
5 1
6 2
7 25
8 3
9 4
10 2
11 9
12
Samsara: efficient deterministic replay in multiprocessor environments with hardware virtualization extensions
12
13 19
14 1
15 6
16 27
17 22
18 171
19
Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment breakdown →
626
20 3

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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