Xiaoyuan Yang

2.0k citations
113 papers · 1.2k · h-index 19

Impact in

Papers in

Xiaoyuan Yang

102 papers receiving 1.2k citations

Peers

Xiaoyuan Yang
Comparison fields: 5 of 128
  • Computer Networks and Communications 447
  • Information Systems 395
  • Computer Vision and Pattern Recognition 243
  • Artificial Intelligence 337
  • Pharmaceutical Science 57
Replace Wei Hu with:
Wei Hu China
Jaehyuk Cha South Korea
Jiahua Dong China
Xia Chen China
Fan Liu China
Zahoor Jan Pakistan
Jongsub Moon South Korea
Ramgopal Kashyap India
Myung Ho Kim South Korea
Hüseyin Şeker United Kingdom
Xiaoyuan Yang relative to Wei Hu China Wei Hu's profile →
Citations per field
00.5×11.4×
Wei Hu · 1×
Citations per year

Countries citing papers authored by Xiaoyuan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyuan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011197
2 202071
3 201156
4 201053
5 201153
6 202050
7 201542
8
Kangaroo: video seeking in P2P systems
200930
9 201425
10 202125
11 201125
12 200421
13 201021
14 201720
15 201820
16 201719
17 200919
18 201118
19 201518
20 201517

About Xiaoyuan Yang

Xiaoyuan Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Computational Theory and Mathematics, having authored 113 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cryptography and Data Security (44 papers), Advanced Steganography and Watermarking Techniques (21 papers), Chaos-based Image/Signal Encryption (17 papers), Privacy-Preserving Technologies in Data (16 papers), Digital Media Forensic Detection (16 papers), Coding theory and cryptography (15 papers), Cloud Data Security Solutions (14 papers) and Complexity and Algorithms in Graphs (11 papers). The work is most often cited by research in Computer Networks and Communications (447 citations), Information Systems (395 citations), Computer Vision and Pattern Recognition (243 citations), Artificial Intelligence (337 citations) and Pharmaceutical Science (57 citations). Xiaoyuan Yang has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Pablo Rodríguez, Nikolaos Laoutaris, Michael Sirivianos, Xu An Wang, Minqing Zhang, Georgos Siganos, Yiliang Han, Longfei Liu, Yingnan Zhang and Xinyi Huang. Their work appears in journals such as Tsinghua Science & Technology, IEEE Access, Journal of Systems and Software, ACM SIGCOMM Computer Communication Review and Electronics.

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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