Jun Li

14.4k total citations · 6 hit papers
552 papers, 9.6k citations indexed

About

Jun Li is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Jun Li has authored 552 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 248 papers in Computer Networks and Communications, 224 papers in Electrical and Electronic Engineering and 126 papers in Artificial Intelligence. Recurrent topics in Jun Li's work include Cooperative Communication and Network Coding (62 papers), Caching and Content Delivery (56 papers) and Privacy-Preserving Technologies in Data (55 papers). Jun Li is often cited by papers focused on Cooperative Communication and Network Coding (62 papers), Caching and Content Delivery (56 papers) and Privacy-Preserving Technologies in Data (55 papers). Jun Li collaborates with scholars based in China, United States and Australia. Jun Li's co-authors include Ming Ding, H. Vincent Poor, Chuan Ma, Kang Wei, Wen Chen, Tony Q. S. Quek, Howard H. Yang, Shi Jin, Farhad Farokhi and Feng Shu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Jun Li

487 papers receiving 9.3k citations

Hit Papers

Federated Learning With Differential Privacy: Algorithms ... 2020 2026 2022 2024 2020 2021 2021 2022 2021 400 800 1.2k

Peers

Jun Li
Comparison fields: 5 of 158
  • Electrical and Electronic Engineering 3.8k
  • Artificial Intelligence 3.3k
  • Computer Networks and Communications 3.2k
  • Aerospace Engineering 1.5k
  • Information Systems 1.1k
Replace Ming Ding with:
Ming Ding Australia
Zhou Su China
Jun Zhao China
Depeng Jin China
Lei Guo China
Xiang‐Yang Li China
Mingzhe Chen China
Jinsong Wu China
Mohammed Atiquzzaman United States
Xiuzhen Cheng United States
Ming Ding Australia View profile →
Citations per field, relative to Jun Li
Jun Li · 1×
Citations per year, relative to Jun Li
Jun Li · 1×

Countries citing papers authored by Jun Li

Since Specialization
Citations

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

Fields of papers citing papers by Jun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Li. A scholar is included among the top collaborators of Jun Li 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 Jun Li. Jun Li 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
# Work Indexed citations
1 0
2 0
3 4
4 1
5 1
6 0
7 0
8 12
9 6
10 0
11 1
12 0
13 1
14 5
15 75
16 0
17 1
18 69
19 5
20 3

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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