Junqing Le

775 citations
37 papers · 530 · h-index 15

Impact in

    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Blockchain Technology Applications and Security
    • Cloud Data Security Solutions
    • Data Mining Algorithms and Applications

Papers in

    • Privacy-Preserving Technologies in Data 23
    • Cryptography and Data Security 13
    • Internet Traffic Analysis and Secure E-voting 3
    • Blockchain Technology Applications and Security 4
    • Cloud Data Security Solutions 4

Junqing Le

33 papers receiving 514 citations

Peers

Junqing Le
Comparison fields: 5 of 51
  • Artificial Intelligence 335
  • Information Systems 181
  • Health Informatics 7
  • Computer Networks and Communications 98
  • Computer Science Applications 17
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Citations per year

Countries citing papers authored by Junqing Le

Since Specialization
Citations

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

Fields of papers citing papers by Junqing Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202364
2 202159
3 201942
4 201934
5 202129
6 201829
7 202122
8 202121
9 201921
10 202320
11 202117
12 201817
13 201915
14 201915
15 201615
16 202013
17 202012
18 202012
19 202412
20 20249

About Junqing Le

Junqing Le is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Electrical and Electronic Engineering and Computer Science Applications, having authored 37 papers that have together received 530 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (23 papers), Cryptography and Data Security (13 papers), Blockchain Technology Applications and Security (4 papers), Advanced Authentication Protocols Security (4 papers), Cloud Data Security Solutions (4 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), Wireless Communication Security Techniques (3 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). The work is most often cited by research in Artificial Intelligence (335 citations), Information Systems (181 citations), Health Informatics (7 citations), Computer Networks and Communications (98 citations) and Computer Science Applications (17 citations). Junqing Le has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Xiaofeng Liao, Nankun Mu, Di Zhang, Xinyu Lei, Kai Zeng, Tao Xiang, Jiahui Wu, Long Jiao, Xiaofeng Liao and Shaoxin Li. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, Computers & Security, IEEE Transactions on Cloud Computing, IEEE Transactions on Emerging Topics in Computational Intelligence 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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