Shouxi Luo

76 papers receiving 1.5k citations

Hit Papers

Deep Contrastive Representation Learning With Self-Distil...2023202620242025202320242023255075100

Peers

Shouxi Luo
Comparison fields: 5 of 101
  • Computer Networks and Communications 858
  • Artificial Intelligence 431
  • Information Systems 341
  • Electrical and Electronic Engineering 295
  • Computer Vision and Pattern Recognition 248
Replace Ghulam Abbas with:
Ghulam Abbas Pakistan
Gurjot Singh Gaba India
Dajiang Chen China
Song Fu United States
Penglin Dai China
Guangtao Xue China
Tao Ye China
Muhammad Tariq Pakistan
Jian Wan China
Chunming Wu China
Shouxi Luo relative to Ghulam Abbas Pakistan Ghulam Abbas's profile →
Citations per field
00.5×1.5×
Ghulam Abbas · 1×
Citations per year

Countries citing papers authored by Shouxi Luo

Since Specialization
Citations

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

Fields of papers citing papers by Shouxi Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouxi Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Shouxi Luo. A scholar is included among the top collaborators of Shouxi 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 Shouxi Luo. Shouxi Luo 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 1
4 1
5 4
6 1
7
Densely Knowledge-Aware Network for Multivariate Time Series Classificationbreakdown →
105
8 1
9 4
10 7
11 5
12
CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognitionbreakdown →
99
13
Deep Contrastive Representation Learning With Self-Distillationbreakdown →
105
14 103
15 99
16 1
17 8
18 8
19 61
20 16

About Shouxi Luo

Shouxi Luo is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (34 papers), Cloud Computing and Resource Management (24 papers) and IoT and Edge/Fog Computing (12 papers). The work is most often cited by research in Computer Networks and Communications (858 citations), Information Systems (341 citations) and Hardware and Architecture (92 citations). Shouxi Luo has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Huanlai Xing, Penglin Dai, Hongfang Yu, Zhiwen Xiao, Rong Qu, Dawei Zhan, Fuhong Song, Bowen Zhao, Ke Li and Xinhan Wang. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Information Sciences and Journal of Lightwave Technology.

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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