Paul Yu

1.1k citations
51 papers · 786 · h-index 13

Impact in

Papers in

Paul Yu

50 papers receiving 773 citations

Peers

Paul Yu
Comparison fields: 5 of 57
  • Computer Networks and Communications 344
  • Electrical and Electronic Engineering 532
  • Signal Processing 99
  • Computer Vision and Pattern Recognition 168
  • Artificial Intelligence 256
Replace Alan J. Michaels with:
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Paul Yu relative to Alan J. Michaels United States Alan J. Michaels's profile →
Citations per field
00.5×10×13×
Alan J. Michaels · 1×
Citations per year

Countries citing papers authored by Paul Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Paul Yu Line = papers co-authored together Paul Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008201
2 201572
3 201554
4 201150
5 201238
6 201537
7 201834
8 202132
9 200830
10 202021
11 201319
12 201918
13 201714
14 201912
15 201912
16 201511
17 20098
18 20157
19 20107
20 20117

About Paul Yu

Paul Yu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 51 papers that have together received 786 indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (18 papers), Chaos-based Image/Signal Encryption (8 papers), Cooperative Communication and Network Coding (7 papers), Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (7 papers), Millimeter-Wave Propagation and Modeling (6 papers), Cryptographic Implementations and Security (6 papers) and Indoor and Outdoor Localization Technologies (5 papers). The work is most often cited by research in Computer Networks and Communications (344 citations), Electrical and Electronic Engineering (532 citations), Signal Processing (99 citations), Computer Vision and Pattern Recognition (168 citations) and Artificial Intelligence (256 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, Kamal Sarabandi, Chirag Rao and Fikadu T. Dagefu. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Information Theory, The International Journal of Robotics Research, ACM SIGMETRICS Performance Evaluation Review and IEEE Journal of Selected Topics in Signal Processing.

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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