Xiaoshan Kai

1.4k citations
71 papers · 965 · h-index 16

Impact in

Papers in

Xiaoshan Kai

60 papers receiving 937 citations

Peers

Xiaoshan Kai
Comparison fields: 5 of 20
  • Computational Theory and Mathematics 674
  • Discrete Mathematics and Combinatorics 119
  • Artificial Intelligence 956
  • Electrical and Electronic Engineering 325
  • Computer Networks and Communications 126
Replace Lin Sok with:
Lin Sok China
Lingfei Jin China
Nuh Aydın United States
Alexis Bonnecaze France
Joaquim Borges Spain
Bahattin Yıldız Türkiye
Ziling Heng China
Shixin Zhu China
Gaojun Luo China
S.M. Dodunekov Bulgaria
Xiaoshan Kai relative to Lin Sok China Lin Sok's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaoshan Kai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoshan Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Xiaoshan Kai, 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 Xiaoshan Kai Line = papers co-authored together Xiaoshan Kai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014164
2 2012145
3 201567
4 201165
5 201847
6 201338
7 201633
8 201030
9 201923
10 201823
11 200821
12 201921
13 201617
14 200817
15 200916
16 201616
17 201815
18 201213
19 201912
20 202011

About Xiaoshan Kai

Xiaoshan Kai is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Computer Networks and Communications, having authored 71 papers that have together received 965 indexed citations. Recurring topics across this work include Coding theory and cryptography (56 papers), graph theory and CDMA systems (42 papers), Quantum Computing Algorithms and Architecture (29 papers), Quantum-Dot Cellular Automata (27 papers), Finite Group Theory Research (16 papers), Quantum Information and Cryptography (15 papers), Cellular Automata and Applications (12 papers) and Error Correcting Code Techniques (5 papers). The work is most often cited by research in Computational Theory and Mathematics (674 citations), Discrete Mathematics and Combinatorics (119 citations), Artificial Intelligence (956 citations), Electrical and Electronic Engineering (325 citations) and Computer Networks and Communications (126 citations). Xiaoshan Kai has collaborated with scholars based in China. Frequent co-authors include Shixin Zhu, Li Ping, Shixin Zhu, Yongsheng Tang, Zhonghua Sun, Ting Yao, Zhe Chen, Liqi Wang, Ping Li and Jin Li. Their work appears in journals such as Quantum Information Processing, Finite Fields and Their Applications, Discrete Mathematics, Cryptography and Communications and IEEE Transactions on Information Theory.

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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