Jun Pang

4.0k citations
184 papers · 1.5k · h-index 21

Impact in

    • Human Mobility and Location-Based Analysis
    • Privacy-Preserving Technologies in Data
    • Internet Traffic Analysis and Secure E-voting
    • Cryptography and Data Security
    • Advanced Graph Neural Networks

Papers in

Jun Pang

168 papers receiving 1.5k citations

Peers

Jun Pang
Comparison fields: 5 of 145
  • Transportation 147
  • Artificial Intelligence 511
  • Software 47
  • Computational Theory and Mathematics 184
  • Hardware and Architecture 75
Replace Dejing Dou with:
Dejing Dou United States
Tengfei Ma China
Zhichao Han China
Yuanyuan Li China
Qimai Li Hong Kong
Heli Sun China
Wenqi Fan Hong Kong
Jiejun Xu United States
Jun Pang relative to Dejing Dou United States Dejing Dou's profile →
Citations per field
00.5×3.8×
Dejing Dou · 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 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201777
2 199568
3 201368
4 202044
5 200641
6 200040
7 202238
8 201136
9 201535
10 201332
11 201330
12 201429
13 202127
14 200925
15 202125
16 202121
17 202121
18 201821
19 201521
20 201420

About Jun Pang

Jun Pang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Molecular Biology and Sociology and Political Science, having authored 184 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), Privacy-Preserving Technologies in Data (16 papers), Human Mobility and Location-Based Analysis (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 (147 citations), Artificial Intelligence (511 citations), Software (47 citations), Computational Theory and Mathematics (184 citations) and Hardware and Architecture (75 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, Zhiqiang Zhong, Lin Meng, Cheng–Te Li and Sjouke Mauw. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Formal Aspects of Computing, ACM Transactions on the Web, Frontiers of Computer Science 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.

Explore authors with similar magnitude of impact