Xiaoyu Song

4.5k citations
271 papers · 2.9k indexed · h-index 27
Topics
Formal Methods in Verification (77 papers)Embedded Systems Design Techniques (36 papers)Quantum Computing Algorithms and Architecture (34 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Xiaoyu Song

249 papers receiving 2.7k citations

Peers

Xiaoyu Song
Comparison fields: 5 of 109
  • Artificial Intelligence 1.1k
  • Computational Theory and Mathematics 1.0k
  • Electrical and Electronic Engineering 899
  • Computer Networks and Communications 658
  • Hardware and Architecture 508
Replace Lars Michael Kristensen with:
Lars Michael Kristensen Norway
Bernabè Dorronsoro Spain
Juan J. Durillo Spain
Ali Movaghar Iran
Ming Gu China
Andrea Bondavalli Italy
Kalyan Veeramachaneni United States
Francisco Luna Spain
Peter Fritzson Sweden
Wang Yi Sweden
Xiaoyu Song relative to Lars Michael Kristensen Norway Lars Michael Kristensen's profile →
Citations per field
00.5×2.9×
Lars Michael Kristensen · 1×
Citations per year

Countries citing papers authored by Xiaoyu Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyu Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyu Song. A scholar is included among the top collaborators of Xiaoyu 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 Xiaoyu Song. Xiaoyu 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 1
2 0
3 16
4 2
5 1
6 6
7 2
8 7
9 108
10 3
11 1
12 38
13 2
14 3
15 26
16 24
17 3
18 32
19 7
20 41

About Xiaoyu Song

Xiaoyu Song is a scholar working on Software, Hardware and Architecture and Computational Theory and Mathematics, having authored 271 papers that have together received 2.9k indexed citations. Recurring topics across this work include Formal Methods in Verification (77 papers), Embedded Systems Design Techniques (36 papers) and Quantum Computing Algorithms and Architecture (34 papers). The work is most often cited by research in Hardware and Architecture (508 citations), Computational Theory and Mathematics (1.0k citations) and Software (236 citations). Xiaoyu Song has collaborated with scholars based in United States, China and Canada. Frequent co-authors include William N. N. Hung, Marek Perkowski, Guowu Yang, Ming Gu, Xibin Zhao, Jin Yang, Hong Shen, Yingfeng Zhang, Zhengang Guo and Jiaguang Sun. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports and IEEE Transactions on Industrial Electronics.

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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