Jun Pang

4.1k citations
250 papers · 2.8k · h-index 26

Impact in

Papers in

Jun Pang

228 papers receiving 2.7k citations

Peers

Jun Pang
Comparison fields: 5 of 151
  • Software 229
  • Transportation 233
  • Computational Theory and Mathematics 584
  • Artificial Intelligence 1.1k
  • Hardware and Architecture 150
Replace Lawrence B. Holder with:
Lawrence B. Holder United States
Peter Bloem Netherlands
Roy Sterritt United Kingdom
Mohamed Jmaïel Tunisia
Ping Chen China
Ricard Gavaldà Spain
Lichao Sun United States
Hwanjo Yu South Korea
Yao Ma United States
Jun Pang relative to Lawrence B. Holder United States Lawrence B. Holder's profile →
Citations per field
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Lawrence B. Holder · 1×
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-authors

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

Showing the 20 most-cited of 250 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009290
2 201793
3 201380
4 199579
5 200661
6 200751
7 202047
8 200043
9 201243
10 202242
11 201141
12 201541
13 201437
14 201337
15 201337
16 201832
17 202131
18 201531
19 200530
20 200729

About Jun Pang

Jun Pang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Transportation and Information Systems, having authored 250 papers that have together received 2.8k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (39 papers), Formal Methods in Verification (38 papers), Internet Traffic Analysis and Secure E-voting (28 papers), Cryptography and Data Security (26 papers), Human Mobility and Location-Based Analysis (24 papers), Advanced Authentication Protocols Security (23 papers), Privacy-Preserving Technologies in Data (21 papers) and Complex Network Analysis Techniques (21 papers). The work is most often cited by research in Software (229 citations), Transportation (233 citations), Computational Theory and Mathematics (584 citations), Artificial Intelligence (1.1k citations) and Hardware and Architecture (150 citations). Jun Pang has collaborated with scholars based in Luxembourg, China and Germany. Frequent co-authors include Jun Sun, Yang Liu, Jin-song Dong, Andrzej Mizera, Xihui Chen, Yuxin Deng, Yang Zhang, Hugo Jonker, Sjouke Mauw and Wan J. Fokkink. Their work appears in journals such as Lecture notes in computer science, IEEE Transactions on Computational Biology and Bioinformatics, ACM Transactions on the Web, Formal Aspects of Computing and Frontiers of Computer Science.

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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