Shouxi Luo

2.1k total citations · 3 hit papers
77 papers, 1.6k 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 1.6k 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 IoT and Edge/Fog Computing (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 IoT and Edge/Fog Computing (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, Bowen Zhao, Ke Li 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 Representation Learning With Self-Distil... 2023 2026 2024 2025 2023 2024 2023 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shouxi Luo China 18 858 431 341 295 248 77 1.6k
Dajiang Chen China 21 661 0.8× 506 1.2× 388 1.1× 508 1.7× 284 1.1× 58 1.5k
Gurjot Singh Gaba India 23 634 0.7× 402 0.9× 513 1.5× 440 1.5× 152 0.6× 85 1.7k
Penglin Dai China 24 937 1.1× 462 1.1× 293 0.9× 583 2.0× 264 1.1× 69 1.8k
Guangtao Xue China 25 1.1k 1.2× 533 1.2× 467 1.4× 667 2.3× 305 1.2× 169 2.2k
Tao Ye China 23 571 0.7× 497 1.2× 161 0.5× 149 0.5× 421 1.7× 109 1.5k
Song Fu United States 23 1.3k 1.5× 584 1.4× 678 2.0× 461 1.6× 536 2.2× 164 2.4k
Aisha Hassan Abdalla Hashim Malaysia 19 794 0.9× 251 0.6× 198 0.6× 664 2.3× 286 1.2× 268 1.6k
Ghulam Abbas Pakistan 26 1.2k 1.4× 448 1.0× 359 1.1× 1.1k 3.6× 182 0.7× 147 2.3k
Ke Luo China 8 817 1.0× 516 1.2× 242 0.7× 456 1.5× 380 1.5× 22 1.5k
Jian Wan China 14 460 0.5× 341 0.8× 203 0.6× 178 0.6× 496 2.0× 69 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

20 of 20 papers shown
1.
Xiao, Zhiwen, Huanlai Xing, Rong Qu, et al.. (2025). Knowledge Aggregation Transformer Network for Multivariate Time Series Classification. IEEE Transactions on Big Data. 11(6). 3413–3429. 1 indexed citations
2.
Luo, Shouxi, et al.. (2025). Progress and Bandwidth Aware Partial Model Synchronization With Selective Reduce. IEEE Transactions on Network Science and Engineering. 13. 1358–1373.
3.
Luo, Shouxi, Ping Zhang, Xin Song, et al.. (2025). Domain-Specific Transport Protocols for In-Network Processing at the Edge: A Case Study of Accelerating Model Synchronization. IEEE Transactions on Mobile Computing. 24(8). 7663–7679. 1 indexed citations
4.
Luo, Shouxi, et al.. (2025). Approximate Gradient Synchronization With Adaptive Quantized Gradient Broadcast. Future Generation Computer Systems. 174. 107983–107983. 1 indexed citations
5.
Xing, Huanlai, Lexi Xu, Shouxi Luo, et al.. (2024). Adversarial Reinforcement Learning Based Data Poisoning Attacks Defense for Task-Oriented Multi-User Semantic Communication. IEEE Transactions on Mobile Computing. 23(12). 14834–14851. 4 indexed citations
6.
Luo, Long, et al.. (2024). Energy-Efficient Hierarchical Collaborative Learning Over LEO Satellite Constellations. IEEE Journal on Selected Areas in Communications. 42(12). 3366–3379. 1 indexed citations
7.
Xiao, Zhiwen, Huanlai Xing, Rong Qu, et al.. (2024). Densely Knowledge-Aware Network for Multivariate Time Series Classification. IEEE Transactions on Systems Man and Cybernetics Systems. 54(4). 2192–2204. 105 indexed citations breakdown →
8.
Luo, Shouxi, et al.. (2024). Towards Optimal Topology-Aware AllReduce Synthesis. 1–2. 1 indexed citations
9.
Luo, Shouxi, Pingzhi Fan, Ke Li, et al.. (2024). Efficient Parameter Synchronization for Peer-to-Peer Distributed Learning With Selective Multicast. IEEE Transactions on Services Computing. 18(1). 156–168. 4 indexed citations
10.
Luo, Shouxi, et al.. (2024). Efficient Inter-Datacenter AllReduce With Multiple Trees. IEEE Transactions on Network Science and Engineering. 11(5). 4793–4806. 7 indexed citations
11.
Luo, Shouxi, et al.. (2024). Efficient Cross-Cloud Partial Reduce With CREW. IEEE Transactions on Parallel and Distributed Systems. 35(11). 2224–2238. 5 indexed citations
12.
Xiao, Zhiwen, Huagang Tong, Rong Qu, et al.. (2023). CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition. IEEE Transactions on Neural Networks and Learning Systems. 36(2). 2690–2704. 99 indexed citations breakdown →
13.
Xiao, Zhiwen, Huanlai Xing, Bowen Zhao, et al.. (2023). Deep Contrastive Representation Learning With Self-Distillation. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(1). 3–15. 105 indexed citations breakdown →
14.
Song, Fuhong, Huanlai Xing, Xinhan Wang, et al.. (2022). Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing. IEEE Transactions on Mobile Computing. 1–18. 103 indexed citations
15.
Xing, Huanlai, Zhiwen Xiao, Dawei Zhan, et al.. (2022). SelfMatch: Robust semisupervised time‐series classification with self‐distillation. International Journal of Intelligent Systems. 37(11). 8583–8610. 99 indexed citations
16.
Luo, Shouxi, et al.. (2022). Efficient Partial Reduce Across Clouds. 99–100. 1 indexed citations
17.
Li, Zonghang, Qingqing Cai, Hongfang Yu, et al.. (2021). DGT: A contribution-aware differential gradient transmission mechanism for distributed machine learning. Future Generation Computer Systems. 121. 35–47. 8 indexed citations
18.
Cai, Weibo, et al.. (2021). Beamer: Stage-Aware Coflow Scheduling to Accelerate Hyper-Parameter Tuning in Deep Learning Clusters. IEEE Transactions on Network and Service Management. 19(2). 1083–1097. 8 indexed citations
19.
Yu, Hongfang, et al.. (2017). Enhancing the reliability of services in NFV with the cost-efficient redundancy scheme. 1–6. 61 indexed citations
20.
Luo, Long, Hongfang Yu, Shouxi Luo, & Mingui Zhang. (2015). Fast lossless traffic migration for SDN updates. 5803–5808. 16 indexed citations

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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