Shouxi Luo

90 total papers · 2.0k total citations
77 papers, 1.5k citations indexed

About

Shouxi Luo is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Shouxi Luo has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Networks and Communications, 26 papers in Artificial Intelligence and 24 papers in Information Systems. Recurrent topics in Shouxi Luo's work include Software-Defined Networks and 5G (34 papers), Cloud Computing and Resource Management (24 papers) and Advanced Optical Network Technologies (12 papers). Shouxi Luo is often cited by papers focused on Software-Defined Networks and 5G (34 papers), Cloud Computing and Resource Management (24 papers) and Advanced Optical Network Technologies (12 papers). Shouxi Luo collaborates with scholars based in China, United Kingdom and Australia. Shouxi Luo's co-authors include Huanlai Xing, Penglin Dai, Hongfang Yu, Zhiwen Xiao, Rong Qu, Dawei Zhan, Fuhong Song, Ke Li, Bowen Zhao and Xinhan Wang and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Information Sciences and Journal of Lightwave Technology.

In The Last Decade

Shouxi Luo

76 papers receiving 1.5k citations

Hit Papers

Deep Contrastive Represen... 2023 2026 2024 2023 2024 2023 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shouxi Luo 848 428 337 293 243 77 1.5k
Bander Alzahrani 819 1.0× 412 1.0× 477 1.4× 254 0.9× 256 1.1× 98 1.5k
Xianghua Xu 720 0.8× 339 0.8× 511 1.5× 264 0.9× 392 1.6× 125 1.6k
Xiao Chen 483 0.6× 443 1.0× 366 1.1× 317 1.1× 453 1.9× 130 2.0k
Gurjot Singh Gaba 631 0.7× 399 0.9× 506 1.5× 435 1.5× 151 0.6× 85 1.7k
Dajiang Chen 656 0.8× 503 1.2× 385 1.1× 507 1.7× 283 1.2× 57 1.5k
Guolong Chen 779 0.9× 531 1.2× 317 0.9× 565 1.9× 255 1.0× 119 1.9k
Yoohwan Kim 905 1.1× 406 0.9× 252 0.7× 501 1.7× 120 0.5× 106 1.5k
Chu‐Sing Yang 897 1.1× 375 0.9× 400 1.2× 546 1.9× 307 1.3× 149 1.7k
Vincent Omollo Nyangaresi 909 1.1× 588 1.4× 750 2.2× 305 1.0× 222 0.9× 103 1.8k
Liang Hu 576 0.7× 364 0.9× 472 1.4× 171 0.6× 194 0.8× 139 1.3k

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

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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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