Zhaojun Lu

2.0k citations
47 papers · 1.3k indexed · 1 hit paper · h-index 12
Topics
Vehicular Ad Hoc Networks (VANETs) (9 papers)Physical Unclonable Functions (PUFs) and Hardware Security (8 papers)Advanced Memory and Neural Computing (7 papers)
Partner nations
ChinaUnited StatesPoland

In The Last Decade

Zhaojun Lu

43 papers receiving 1.3k citations

Hit Papers

A Survey on Recent Advances in Vehicular Network Security...20182026202020232018100200300400

Peers

Zhaojun Lu
Comparison fields: 5 of 84
  • Electrical and Electronic Engineering 900
  • Information Systems 632
  • Computer Networks and Communications 532
  • Artificial Intelligence 488
  • Automotive Engineering 180
Replace L. Jegatha Deborah with:
L. Jegatha Deborah India
Öznur Özkasap Türkiye
Ahren Studer United States
Seung Yeob Nam South Korea
Rakesh Shrestha South Korea
Chengzhe Lai China
Heekuck Oh South Korea
Tsutomu Yoshinaga Japan
Nai‐Wei Lo Taiwan
Zhaojun Lu relative to L. Jegatha Deborah India L. Jegatha Deborah's profile →
Citations per field
00.5×1.7×
L. Jegatha Deborah · 1×
Citations per year

Countries citing papers authored by Zhaojun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zhaojun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaojun Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaojun Lu. A scholar is included among the top collaborators of Zhaojun Lu 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 Zhaojun Lu. Zhaojun Lu 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
#WorkIndexed citations
1 1
2 34
3 0
4 1
5 0
6 1
7 2
8 3
9 2
10 26
11 15
12 9
13 3
14 176
15
A Survey on Recent Advances in Vehicular Network Security, Trust, and Privacybreakdown →
442
16 13
17 167
18 7
19 12
20
Three-dimensional reconstruction of mini-pig skin microvasculars in meridians
1

About Zhaojun Lu

Zhaojun Lu is a scholar working on Hardware and Architecture, Artificial Intelligence and Electrical and Electronic Engineering, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (9 papers), Physical Unclonable Functions (PUFs) and Hardware Security (8 papers) and Advanced Memory and Neural Computing (7 papers). The work is most often cited by research in Information Systems (632 citations), Computer Networks and Communications (532 citations) and Electrical and Electronic Engineering (900 citations). Zhaojun Lu has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Gang Qu, Zhenglin Liu, Qian Wang, Zhenglin Liu, Wenchao Liu, Qian Wang, Md Tanvir Arafin, Haichun Zhang, Yan Xu and Lin Ding. Their work appears in journals such as PLoS ONE, IEEE Access and Frontiers in Immunology.

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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