Shuai Mu

636 citations
30 papers · 417 indexed · h-index 12
Topics
Advanced Data Storage Technologies (16 papers)Parallel Computing and Optimization Techniques (15 papers)Distributed systems and fault tolerance (14 papers)

In The Last Decade

Shuai Mu

26 papers receiving 406 citations

Peers

Shuai Mu
Comparison fields: 5 of 39
  • Computer Networks and Communications 323
  • Hardware and Architecture 171
  • Information Systems 130
  • Electrical and Electronic Engineering 63
  • Computer Vision and Pattern Recognition 42
Replace Jayanth Gummaraju with:
Jayanth Gummaraju United States
Hwansoo Han South Korea
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Ju-Wook Jang South Korea
Manman Ren United States
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Shuai Mu relative to Jayanth Gummaraju United States Jayanth Gummaraju's profile →
Citations per field
00.5×10×12.5×
Jayanth Gummaraju · 1×
Citations per year

Countries citing papers authored by Shuai Mu

Since Specialization
Citations

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

Fields of papers citing papers by Shuai Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuai Mu

This figure shows the co-authorship network connecting the top 25 collaborators of Shuai Mu. A scholar is included among the top collaborators of Shuai Mu 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 Shuai Mu. Shuai Mu 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 0
3 1
4 7
5 1
6
Fault-Tolerant Replication with Pull-Based Consensus in MongoDB
4
7
Cobra: Making transactional key-value stores verifiably serializable
6
8 11
9
Giza: Erasure coding objects across global data centers
38
10 38
11 20
12 44
13 19
14 1
15 1
16 38
17 17
18 0
19 67
20 6

About Shuai Mu

Shuai Mu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 30 papers that have together received 417 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (16 papers), Parallel Computing and Optimization Techniques (15 papers) and Distributed systems and fault tolerance (14 papers). The work is most often cited by research in Hardware and Architecture (171 citations), Computer Networks and Communications (323 citations) and Information Systems (130 citations). Shuai Mu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Yangdong Deng, Jinyang Li, Wyatt Lloyd, Haibo Chen, Zhaoguo Wang, Yongwei Wu, Zonghui Li, Wenjun Zhang, Kang Chen and Ting Cao. Their work appears in journals such as ACM Computing Surveys, Lung Cancer and Proceedings of the VLDB Endowment.

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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