Lu Wei

1.4k citations
36 papers · 1.0k indexed · h-index 15

Impact in

Papers in

Lu Wei

33 papers receiving 982 citations

Peers

Lu Wei
Comparison fields: 5 of 58
  • Computer Networks and Communications 594
  • Information Systems 441
  • Artificial Intelligence 384
  • Electrical and Electronic Engineering 633
  • Automotive Engineering 82
Replace Palak Bagga with:
Palak Bagga India
Ahren Studer United States
Tat Wing Chim Hong Kong
Haneul Ko South Korea
Rasmeet Singh Bali India
Nasreddine Lagraa Algeria
Minghui Min China
Binod Vaidya Canada
Hyame Assem Alameddine Canada
Mahmoud Hashem Eiza United Kingdom
Lu Wei relative to Palak Bagga India Palak Bagga's profile →
Citations per field
00.5×
Palak Bagga · 1×
Citations per year

Countries citing papers authored by Lu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Lu Wei, 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 Lu Wei Line = papers co-authored together Lu Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20250
5 20252
6 20246
7 20247
8 20247
9 202320
10 202331
11 202311
12 20235
13 202319
14 20223
15 202235
16 2021122
17 202159
18 202166
19 202133
20 2018173

About Lu Wei

Lu Wei is a scholar working on Computer Networks and Communications, Metals and Alloys, Information Systems, Electrical and Electronic Engineering and Artificial Intelligence, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (24 papers), Privacy-Preserving Technologies in Data (11 papers), Advanced Authentication Protocols Security (10 papers), Cryptography and Data Security (6 papers), User Authentication and Security Systems (6 papers), Opportunistic and Delay-Tolerant Networks (6 papers), Blockchain Technology Applications and Security (6 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Networks and Communications (594 citations), Information Systems (441 citations), Artificial Intelligence (384 citations), Electrical and Electronic Engineering (633 citations) and Automotive Engineering (82 citations). Lu Wei has collaborated with scholars based in China, Russia and United Kingdom. Frequent co-authors include Jie Cui, Hong Zhong, Yan Xu, Lu Liu, Jing Zhang, Irina Bolodurina, Zuobin Ying, Jing Zhang, Debiao He and Jiujun Cheng. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing and IEEE Transactions on Vehicular Technology.

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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