Mushu Li

2.7k citations
56 papers · 1.8k indexed · 4 hit papers · h-index 18

Impact in

Papers in

Mushu Li

54 papers receiving 1.8k citations

Hit Papers

Split Learning Over Wireless Networks: Parallel Design and Resource Management 2023 · 160 citations
160202020262022202450100150200250

Peers

Mushu Li
Comparison fields: 5 of 62
  • Computer Networks and Communications 1.1k
  • Electrical and Electronic Engineering 890
  • Artificial Intelligence 366
  • Computer Vision and Pattern Recognition 194
  • Automotive Engineering 111
Replace Jiadai Wang with:
Jiadai Wang China
Haijun Liao China
Soumaya Cherkaoui Canada
Kai Lin China
Lun Tang China
Qiang Fan United States
Ricky Y. K. Kwok Hong Kong
Junhui Zhao China
Xianfu Chen Finland
Mushu Li relative to Jiadai Wang China Jiadai Wang's profile →
Citations per field
00.5×1.7×
Jiadai Wang · 1×
Citations per year

Countries citing papers authored by Mushu Li

Since Specialization
Citations

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

Fields of papers citing papers by Mushu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mushu Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mushu Li Line = papers co-authored together Mushu Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202414
4 20245
5 202413
6 20241
7 20244
8
Split Learning Over Wireless Networks: Parallel Design and Resource Management
Hit paper breakdown →
2023160
9 202311
10 202317
11 202315
12 202316
13 20236
14
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Hit paper breakdown →
2021256
15 202127
16 202162
17 202017
18
AI-Assisted Network-Slicing Based Next-Generation Wireless Networks
Hit paper breakdown →
2020216
19 2020134
20 2020183

About Mushu Li

Mushu Li is a scholar working on Computer Networks and Communications, Automotive Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (23 papers), Software-Defined Networks and 5G (11 papers), Electric Vehicles and Infrastructure (10 papers), Vehicular Ad Hoc Networks (VANETs) (9 papers), Age of Information Optimization (8 papers), Caching and Content Delivery (6 papers), Advanced Wireless Communication Technologies (6 papers) and Advanced Battery Technologies Research (6 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Electrical and Electronic Engineering (890 citations), Artificial Intelligence (366 citations), Computer Vision and Pattern Recognition (194 citations) and Automotive Engineering (111 citations). Mushu Li has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Xuemin Shen, Jie Gao, Weihua Zhuang, Conghao Zhou, Wen Wu, Lian Zhao, Xu Li, Ning Zhang, Huaqing Wu and Jaya Rao. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Transactions on Cognitive Communications and Networking, IEEE Journal on Selected Areas in Communications and IEEE Journal of Selected Topics in Signal Processing.

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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