Xuanyu Cao

1.0k citations
48 papers · 700 indexed · h-index 17

Xuanyu Cao

43 papers receiving 686 citations

Peers

Xuanyu Cao
Comparison fields: 5 of 58
  • Computer Networks and Communications 404
  • Management Science and Operations Research 156
  • Artificial Intelligence 197
  • Statistics, Probability and Uncertainty 34
  • Information Systems 100
Replace Swastik Brahma with:
Swastik Brahma United States
Matteo Sereno Italy
Abbas Kazerouni United States
Tor Lattimore Canada
Andrey Garnaev United States
Samir M. Perlaza France
Haotian Zhang Canada
Qi Lei China
Rossano Gaeta Italy
Souptik Datta United States
Xuanyu Cao relative to Swastik Brahma United States Swastik Brahma's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xuanyu Cao

Since Specialization
Citations

This map shows the geographic impact of Xuanyu Cao'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 Xuanyu Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuanyu Cao more than expected).

Fields of papers citing papers by Xuanyu Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xuanyu Cao. 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 Xuanyu Cao. The network helps show where Xuanyu Cao may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Xuanyu Cao, 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 Xuanyu Cao Line = papers co-authored together Xuanyu Cao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20240
3 20240
4 20238
5 202369
6 202210
7 20223
8 202025
9 202020
10 20207
11 202014
12 20200
13 20200
14 20191
15 201836
16 20183
17 201819
18 201715
19 201627
20 201640

About Xuanyu Cao

Xuanyu Cao is a scholar working on Management Science and Operations Research, Computer Networks and Communications, Computational Mechanics, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 48 papers that have together received 700 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (14 papers), Advanced Bandit Algorithms Research (13 papers), Sparse and Compressive Sensing Techniques (12 papers), Advanced Wireless Network Optimization (8 papers), Stochastic Gradient Optimization Techniques (7 papers), Complex Network Analysis Techniques (6 papers), Optimization and Search Problems (5 papers) and Privacy-Preserving Technologies in Data (5 papers). The work is most often cited by research in Computer Networks and Communications (404 citations), Management Science and Operations Research (156 citations), Artificial Intelligence (197 citations), Statistics, Probability and Uncertainty (34 citations) and Information Systems (100 citations). Xuanyu Cao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include K. J. Ray Liu, Tamer Başar, Junshan Zhang, H. Vincent Poor, Yan Chen, Suhas Diggavi, Yonina C. Eldar, Khaled B. Letaief, Chunxiao Jiang and Xinbing Wang. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing, IEEE Transactions on Signal and Information Processing over Networks, Automatica and IEEE Transactions on Wireless Communications.

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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