Siqi Luo

602 total citations · 1 hit paper
16 papers, 415 citations indexed

About

Siqi Luo is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Siqi Luo has authored 16 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Siqi Luo's work include IoT and Edge/Fog Computing (5 papers), IoT Networks and Protocols (3 papers) and Labor Movements and Unions (3 papers). Siqi Luo is often cited by papers focused on IoT and Edge/Fog Computing (5 papers), IoT Networks and Protocols (3 papers) and Labor Movements and Unions (3 papers). Siqi Luo collaborates with scholars based in China. Siqi Luo's co-authors include Zhi Zhou, Xu Chen, Shuai Yu, Qiong Wu, Xiang Chen, Weigang Wu, Jie Wei, Qi Liao, Lian Xu and Liping Yu and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology and Parasites & Vectors.

In The Last Decade

Siqi Luo

14 papers receiving 408 citations

Hit Papers

HFEL: Joint Edge Association and Resource Allocation for ... 2020 2026 2022 2024 2020 100 200 300

Peers

Siqi Luo
Comparison fields: 5 of 66
  • Artificial Intelligence 258
  • Computer Networks and Communications 185
  • Electrical and Electronic Engineering 140
  • Computer Science Applications 64
  • Information Systems 53
Replace Heqiang Wang with:
Heqiang Wang China
Mehdi Salehi Heydar Abad Türkiye
Tra Huong Thi Le South Korea
Triet D. Vo-Huu United States
Saeed Vahidian United States
Omar Hasan Jordan
Hamed Shah‐Mansouri Iran
Fudong Qiu China
Chenghui Peng China
Marco V. Barbera Italy
Heqiang Wang China View profile →
Citations per field, relative to Siqi Luo
Siqi Luo · 1×
Citations per year, relative to Siqi Luo
Siqi Luo · 1×

Countries citing papers authored by Siqi Luo

Since Specialization
Citations

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

Fields of papers citing papers by Siqi Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siqi Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Siqi Luo. A scholar is included among the top collaborators of Siqi Luo 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 Siqi Luo. Siqi Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 0
3 8
4 1
5
Reclaiming "Territories": Two Case Studies of Trade Union Innovation Projects in South China
1
6
HFEL: Joint Edge Association and Resource Allocation for Cost-Efficient Hierarchical Federated Edge Learning breakdown →
312
7 3
8 44
9 3
10 2
11 6
12 4
13 5
14 4
15 21
16 1

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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