Xiaoyang Dong

853 citations
27 papers · 269 indexed · h-index 11
Topics
Cryptographic Implementations and Security (21 papers)Chaos-based Image/Signal Encryption (19 papers)Coding theory and cryptography (13 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessScience China Information Sciences
Partner nations
ChinaSwitzerlandGermany

In The Last Decade

Xiaoyang Dong

27 papers receiving 261 citations

Peers

Xiaoyang Dong
Comparison fields: 5 of 29
  • Artificial Intelligence 220
  • Computer Vision and Pattern Recognition 157
  • Hardware and Architecture 46
  • Building and Construction 27
  • Civil and Structural Engineering 26
Replace Jason Jo with:
Jason Jo Canada
M. Anand India
S. Sree Vivek India
Mike Yuliana Indonesia
Junyang Yu China
Hadi Parandeh-Afshar Switzerland
Stéphane Ubéda France
Tomer Ashur Belgium
Zhaoyang Yu China
Jean‐Yves Tigli France
Xiaoyang Dong relative to Jason Jo Canada Jason Jo's profile →
Citations per field
00.5×10×14×
Jason Jo · 1×
Citations per year

Countries citing papers authored by Xiaoyang Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyang Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyang Dong. A scholar is included among the top collaborators of Xiaoyang Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoyang Dong. Xiaoyang Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 8
3 11
4 1
5 1
6 2
7 6
8 16
9 14
10 30
11 10
12 10
13 4
14 6
15 39
16 6
17 25
18 2
19 2
20 8

About Xiaoyang Dong

Xiaoyang Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture, having authored 27 papers that have together received 269 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (21 papers), Chaos-based Image/Signal Encryption (19 papers) and Coding theory and cryptography (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Artificial Intelligence (220 citations) and Hardware and Architecture (46 citations). Xiaoyang Dong has collaborated with scholars based in China, Switzerland and Germany. Frequent co-authors include Xiaoyun Wang, Zheng Li, Keting Jia, Xiaoyun Wang, Boxin Zhao, Jianyang Xue, Xicheng Zhang, Willi Meier, Ling Qin and Gaoli Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Science China Information Sciences.

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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