Paul Yu
Impact in
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- Cooperative Communication and Network Coding
- Advanced Authentication Protocols Security
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- Wireless Communication Security Techniques
- Advanced Wireless Communication Technologies
- Advanced MIMO Systems Optimization
Papers in
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- Network Security and Intrusion Detection 6
- Cooperative Communication and Network Coding 6
- Co-authors
- Brian M. SadlerJohn S. BarasGunjan VermaRick S. BlumJeffrey N. TwiggSrikanth V. KrishnamurthyZhiyun QianFikadu T. Dagefu
- Journals
- IEEE Transactions on Information Forensics and Security (4 papers)IEEE Transactions on Information Theory (3 papers)IEEE Journal of Selected Topics in Signal Processing (1 paper)ACM SIGMETRICS Performance Evaluation Review (1 paper)Data Mining and Knowledge Discovery (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Paul Yu
47 papers receiving 710 citations
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 310
- Electrical and Electronic Engineering 505
- Signal Processing 91
- Artificial Intelligence 235
- Computer Vision and Pattern Recognition 145
Countries citing papers authored by Paul Yu
This map shows the geographic impact of Paul Yu'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 Paul Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Yu more than expected).
Fields of papers citing papers by Paul Yu
This network shows the impact of papers produced by Paul Yu. 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 Paul Yu. The network helps show where Paul Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Yu, 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 | 2024 | 3 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 32 | |
| 6 | 2020 | 4 | |
| 7 | 2019 | 11 | |
| 8 | 2019 | 16 | |
| 9 | 2019 | 2 | |
| 10 | 2019 | 6 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 2 | |
| 13 | 2015 | 49 | |
| 14 | 2015 | 2 | |
| 15 | 2013 | 18 | |
| 16 | 2011 | 47 | |
| 17 | 2011 | 6 | |
| 18 | 2010 | 5 | |
| 19 | 2008 | 28 | |
| 20 | 2000 | 1 |
About Paul Yu
Paul Yu is a scholar working on Computational Mathematics, Computer Networks and Communications, Artificial Intelligence, Signal Processing and Software, having authored 48 papers that have together received 722 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (17 papers), Chaos-based Image/Signal Encryption (8 papers), Cryptographic Implementations and Security (6 papers), Network Security and Intrusion Detection (6 papers), Cooperative Communication and Network Coding (6 papers), Millimeter-Wave Propagation and Modeling (6 papers), Advanced Malware Detection Techniques (6 papers) and Indoor and Outdoor Localization Technologies (5 papers). The work is most often cited by research in Computer Networks and Communications (310 citations), Electrical and Electronic Engineering (505 citations), Signal Processing (91 citations), Artificial Intelligence (235 citations) and Computer Vision and Pattern Recognition (145 citations). Paul Yu has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Brian M. Sadler, John S. Baras, Gunjan Verma, Rick S. Blum, Jeffrey N. Twigg, Srikanth V. Krishnamurthy, Zhiyun Qian, Fikadu T. Dagefu, Kamal Sarabandi and Chengyu Song. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Information Theory, IEEE Journal of Selected Topics in Signal Processing, ACM SIGMETRICS Performance Evaluation Review 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.