Jun Pang

4.0k citations
186 papers · 1.5k indexed · h-index 21

Jun Pang

169 papers receiving 1.5k citations

Peers

Jun Pang
Comparison fields: 5 of 148
  • Transportation 146
  • Artificial Intelligence 507
  • Software 47
  • Computational Theory and Mathematics 195
  • Hardware and Architecture 73
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Citations per field
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Citations per year

Countries citing papers authored by Jun Pang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20241
5 20241
6 20241
7 20234
8 20234
9 20231
10 20221
11 20223
12 20199
13 20171
14
Formal methods and software engineering : 16th international conference on formal engineering methods, ICFEM 2014, Luxembourg, Luxembourg, November 3-5, 2014 : proceedings
20141
15
Post-hoc analysis of user traceability in electronic toll collection systems
20131
16
Design and formal analysis of a group signature based electronic toll pricing system
20133
17 20103
18 20100
19 20068
20
Analysis of a security protocol in ?CRL
20021

About Jun Pang

Jun Pang is a scholar working on Software, Transportation, Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 186 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (22 papers), Formal Methods in Verification (21 papers), Internet Traffic Analysis and Secure E-voting (20 papers), Cryptography and Data Security (19 papers), Human Mobility and Location-Based Analysis (16 papers), Privacy-Preserving Technologies in Data (16 papers), Advanced Authentication Protocols Security (15 papers) and Privacy, Security, and Data Protection (13 papers). The work is most often cited by research in Transportation (146 citations), Artificial Intelligence (507 citations), Software (47 citations), Computational Theory and Mathematics (195 citations) and Hardware and Architecture (73 citations). Jun Pang has collaborated with scholars based in Luxembourg, China and Germany. Frequent co-authors include Xihui Chen, Andrzej Mizera, Yang Zhang, Yang Zhang, Mathias Humbert, Michael Backes, Sjouke Mauw, Zhiqiang Zhong, Cheng–Te Li and Lin Meng. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, ACM Transactions on the Web, Frontiers of Computer Science, Formal Aspects of Computing and Data Mining and Knowledge Discovery.

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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