Ruoyu Li

1.6k citations
31 papers · 810 indexed · 1 hit paper · h-index 11
Topics
Network Security and Intrusion Detection (9 papers)Anomaly Detection Techniques and Applications (5 papers)Software-Defined Networks and 5G (4 papers)

In The Last Decade

Ruoyu Li

27 papers receiving 793 citations

Hit Papers

Adaptive Graph Convolutional Neural Networks20182026202020232018100200300400

Peers

Ruoyu Li
Comparison fields: 5 of 113
  • Artificial Intelligence 441
  • Computer Vision and Pattern Recognition 221
  • Computer Networks and Communications 127
  • Information Systems 94
  • Molecular Biology 88
Replace Fernando Gama with:
Fernando Gama United States
You Zhou China
Mohammed El Hassouni Morocco
Ming Jin Australia
Fukunaga Japan
Dexin Zhao China
Xiao Dong China
Zixing Song Hong Kong
Farhan Amin South Korea
Bingbing Jiang China
Ruoyu Li relative to Fernando Gama United States Fernando Gama's profile →
Citations per field
00.5×5.5×
Fernando Gama · 1×
Citations per year

Countries citing papers authored by Ruoyu Li

Since Specialization
Citations

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

Fields of papers citing papers by Ruoyu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruoyu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ruoyu Li. A scholar is included among the top collaborators of Ruoyu Li 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 Ruoyu Li. Ruoyu Li 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 6
4 3
5 7
6 2
7 0
8 1
9 9
10 31
11 5
12 32
13 26
14 23
15
4
16 31
17 11
18 43
19 40
20 14

About Ruoyu Li

Ruoyu Li is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 810 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (9 papers), Anomaly Detection Techniques and Applications (5 papers) and Software-Defined Networks and 5G (4 papers). The work is most often cited by research in Artificial Intelligence (441 citations), Computer Vision and Pattern Recognition (221 citations) and Statistical and Nonlinear Physics (73 citations). Ruoyu Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Feiyun Zhu, Junzhou Huang, Sheng Wang, Yong Jiang, Qing Li, Onur Özdemir, Pramod K. Varshney, Maosong Sun, Xiaoyuan Yi and Wenhao Li. Their work appears in journals such as Chemical Engineering Journal, IEEE Internet of Things Journal and European Spine Journal.

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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