Li Jun

407 total citations
47 papers, 290 citations indexed

About

Li Jun is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Li Jun has authored 47 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 11 papers in Information Systems and 11 papers in Artificial Intelligence. Recurrent topics in Li Jun's work include Caching and Content Delivery (12 papers), Peer-to-Peer Network Technologies (10 papers) and Network Security and Intrusion Detection (10 papers). Li Jun is often cited by papers focused on Caching and Content Delivery (12 papers), Peer-to-Peer Network Technologies (10 papers) and Network Security and Intrusion Detection (10 papers). Li Jun collaborates with scholars based in China and United States. Li Jun's co-authors include Virginia Lo, Chris GauthierDickey, Yuhong Liu, Bei Wang, Baohua Yang, Yibo Xue, Yu Cao, Chun Wang, Can Li and Li Tang and has published in prestigious journals such as IEEE Access, ACM SIGCOMM Computer Communication Review and Computer Communications.

In The Last Decade

Li Jun

42 papers receiving 274 citations

Peers

Li Jun
Comparison fields: 5 of 45
  • Computer Networks and Communications 229
  • Information Systems 81
  • Artificial Intelligence 31
  • Electrical and Electronic Engineering 28
  • Hardware and Architecture 25
Replace Yuxiong He with:
Yuxiong He United States
R. Satheesh Kumar India
Tomáš Čejka Czechia
Andrea Calvagna Italy
Purushotham Bangalore United States
Junqi Zhang China
Eric Pouyoul United States
Benjamin Dowling United Kingdom
Bruce Litow Australia
Reinhard Lüling Germany
Yuxiong He United States View profile →
Citations per field, relative to Li Jun
Li Jun · 1×
Citations per year, relative to Li Jun
Li Jun · 1×

Countries citing papers authored by Li Jun

Since Specialization
Citations

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

Fields of papers citing papers by Li Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Jun

This figure shows the co-authorship network connecting the top 25 collaborators of Li Jun. A scholar is included among the top collaborators of Li Jun 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 Li Jun. Li Jun 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 1
2 3
3 2
4 26
5 1
6
Paired Route Impedance Correction for Multinomial Logit Model Based on Equivalent Impedance
2
7 2
8 1
9
Implementation of Enhanced Reliable UDP with Supplement Mechanism
0
10 0
11 0
12 17
13 1
14
Bitmap data structure:Towards high-performance network algorithms designing
4
15 3
16 0
17 7
18 8
19 71
20 14

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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