Justin Zhan
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- Complex Network Analysis Techniques 3
- Signal Processing top 10%
- Advanced Malware Detection Techniques 4
- Information Systems top 5%
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data 7
- Internet Traffic Analysis and Secure E-voting 4
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- Privacy, Security, and Data Protection 10
- Access Control and Trust 5
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- Peer-to-Peer Network Technologies 3
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- Chaos-based Image/Signal Encryption 3
- Co-authors
- Z. FangXing FangNancy R. MeadYong LiuAntonio TorralbaZhong Lin WangOmid MahianWojciech Matusik
- Journals
- IEEE Access (5 papers)American Journal of Physiology-Cell Physiology (1 paper)IEEE Transactions on Mobile Computing (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Justin Zhan
42 papers receiving 550 citations
Peers
Comparison fields: 5 of 102
- Statistical and Nonlinear Physics 112
- Signal Processing 64
- Information Systems 123
- Artificial Intelligence 166
- Human-Computer Interaction 22
Countries citing papers authored by Justin Zhan
This map shows the geographic impact of Justin Zhan'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 Justin Zhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Zhan more than expected).
Fields of papers citing papers by Justin Zhan
This network shows the impact of papers produced by Justin Zhan. 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 Justin Zhan. The network helps show where Justin Zhan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Justin Zhan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 11 | |
| 3 | 2022 | 93 | |
| 4 | 2021 | 1 | |
| 5 | 2021 | 2 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 117 | |
| 10 | Drowning in opinions: Extracting the pearls | 2015 | 3 |
| 11 | 2012 | 10 | |
| 12 | 2011 | 22 | |
| 13 | 2010 | 2 | |
| 14 | 2010 | 5 | |
| 15 | Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics | 2008 | 3 |
| 16 | 2008 | 8 | |
| 17 | 2008 | 9 | |
| 18 | 2007 | 4 | |
| 19 | 2007 | 2 | |
| 20 | 2007 | 33 |
About Justin Zhan
Justin Zhan is a scholar working on Artificial Intelligence, Signal Processing, Information Systems, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 43 papers that have together received 579 indexed citations. Recurring topics across this work include Privacy, Security, and Data Protection (10 papers), Privacy-Preserving Technologies in Data (7 papers), Access Control and Trust (5 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Advanced Malware Detection Techniques (4 papers), Peer-to-Peer Network Technologies (3 papers), Complex Network Analysis Techniques (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (112 citations), Signal Processing (64 citations), Information Systems (123 citations), Artificial Intelligence (166 citations) and Human-Computer Interaction (22 citations). Justin Zhan has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Z. Fang, Xing Fang, Nancy R. Mead, Xing Fang, Yong Liu, Antonio Torralba, Zhong Lin Wang, Omid Mahian, Wojciech Matusik and Jun Chen. Their work appears in journals such as IEEE Access, American Journal of Physiology-Cell Physiology, IEEE Transactions on Mobile Computing, Joule and Journal Of Big Data.
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.