Jie Cui

8.3k citations
250 papers · 6.0k indexed · 1 hit paper · h-index 44

Impact in

Papers in

Jie Cui

233 papers receiving 5.8k citations

Hit Papers

PA-CRT: Chinese Remainder Theorem Based Conditional Privacy-Preserving Authentication Scheme in Vehicular Ad-Hoc Networks 2019 · 249 citations
249201920262021202350100150200

Peers

Jie Cui
Comparison fields: 5 of 102
  • Computer Networks and Communications 2.9k
  • Information Systems 2.2k
  • Artificial Intelligence 2.4k
  • Hardware and Architecture 395
  • Electrical and Electronic Engineering 3.3k
Replace Amiya Nayak with:
Amiya Nayak Canada
Peter Steenkiste United States
Dong Hoon Lee South Korea
Dijiang Huang United States
Liusheng Huang China
Chunming Qiao United States
Andrei Gurtov Finland
Libing Wu China
Kaiping Xue China
Sukumar Nandi India
Jie Cui relative to Amiya Nayak Canada Amiya Nayak's profile →
Citations per field
00.5×3.6×
Amiya Nayak · 1×
Citations per year

Countries citing papers authored by Jie Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jie Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
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3 20251
4 20253
5 20250
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7 202411
8 20242
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10 202322
11 202310
12 20232
13 202320
14 202331
15 202311
16 202336
17 2021122
18 202113
19 202026
20 201929

About Jie Cui

Jie Cui is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Hardware and Architecture and Electrical and Electronic Engineering, having authored 250 papers that have together received 6.0k indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (70 papers), Cryptography and Data Security (60 papers), Privacy-Preserving Technologies in Data (58 papers), Advanced Authentication Protocols Security (46 papers), Radiation Effects in Electronics (41 papers), Cloud Data Security Solutions (30 papers), Blockchain Technology Applications and Security (30 papers) and User Authentication and Security Systems (27 papers). The work is most often cited by research in Computer Networks and Communications (2.9k citations), Information Systems (2.2k citations), Artificial Intelligence (2.4k citations), Hardware and Architecture (395 citations) and Electrical and Electronic Engineering (3.3k citations). Jie Cui has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Hong Zhong, Yan Xu, Lu Liu, Jing Zhang, Lu Wei, Aibin Yan, Xiaoqing Wen, Zhili Chen, Zhengfeng Huang and Patrick Girard. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Mobile Computing, IEEE Transactions on Vehicular Technology and IEEE Transactions on Intelligent Transportation Systems.

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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