Jeff Yan
Impact in
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
- Biometric Identification and Security
- Information Systems top 0.2%
- User Authentication and Security Systems
- Spam and Phishing Detection
Papers in ⓘ
-
- User Authentication and Security Systems 29
- Spam and Phishing Detection 11
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- Advanced Malware Detection Techniques 24
- Biometric Identification and Security 5
- Co-authors
- Ahmad Salah El Ahmad (8 shared papers)Paul Dunphy (3 shared papers)Brian Randell (3 shared papers)Ping Wang (3 shared papers)Xinyi Huang (2 shared papers)Ding Wang (2 shared papers)Bin Zhu (3 shared papers)Ning Xu (2 shared papers)
- Journals
- IEEE Security & Privacy (2 papers)IEEE Internet Computing (1 paper)International Journal of Information Security (1 paper)Computer (1 paper)Personality and Individual Differences (1 paper)
- Partner nations
- United KingdomChinaSweden
In The Last Decade
Jeff Yan
41 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 57
- Signal Processing 1.1k
- Information Systems 1.5k
- Human-Computer Interaction 284
- Computer Vision and Pattern Recognition 398
- Computer Networks and Communications 230
Countries citing papers authored by Jeff Yan
This map shows the geographic impact of Jeff Yan'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 Jeff Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Yan more than expected).
Fields of papers citing papers by Jeff Yan
This network shows the impact of papers produced by Jeff Yan. 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 Jeff Yan. The network helps show where Jeff Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 256 | |
| 2 | 2016 | 201 | |
| 3 | 2008 | 192 | |
| 4 | 2007 | 148 | |
| 5 | 2007 | 135 | |
| 6 | 2005 | 115 | |
| 7 | 2011 | 89 | |
| 8 | 2010 | 85 | |
| 9 | 2016 | 64 | |
| 10 | 2014 | 64 | |
| 11 | 2013 | 59 | |
| 12 | 2010 | 45 | |
| 13 | 2007 | 43 | |
| 14 | 2018 | 41 | |
| 15 | 2011 | 33 | |
| 16 | 2009 | 30 | |
| 17 | 2019 | 25 | |
| 18 | 2009 | 19 | |
| 19 | 2010 | 17 | |
| 20 | 2016 | 16 |
About Jeff Yan
Jeff Yan is a scholar working on Information Systems, Signal Processing, Computer Vision and Pattern Recognition, Clinical Psychology and Artificial Intelligence, having authored 42 papers that have together received 1.8k indexed citations. Recurring topics across this work include User Authentication and Security Systems (29 papers), Advanced Malware Detection Techniques (24 papers), Spam and Phishing Detection (11 papers), Advanced Steganography and Watermarking Techniques (6 papers), Biometric Identification and Security (5 papers), Psychedelics and Drug Studies (4 papers), Digital Communication and Language (4 papers) and Security and Verification in Computing (3 papers). The work is most often cited by research in Signal Processing (1.1k citations), Information Systems (1.5k citations), Human-Computer Interaction (284 citations), Computer Vision and Pattern Recognition (398 citations) and Computer Networks and Communications (230 citations). Jeff Yan has collaborated with scholars based in United Kingdom, China and Sweden. Frequent co-authors include Ahmad Salah El Ahmad, Paul Dunphy, Brian Randell, Ping Wang, Xinyi Huang, Ding Wang, Bin Zhu, Ning Xu, David Griffiths and Nur Haryani Zakaria. Their work appears in journals such as IEEE Security & Privacy, IEEE Internet Computing, International Journal of Information Security, Computer and Personality and Individual Differences.
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.