Wai-Shun Cheung

557 citations
16 papers · 375 indexed · h-index 7
Topics
Advanced Topics in Algebra (12 papers)Matrix Theory and Algorithms (11 papers)Algebraic structures and combinatorial models (4 papers)

In The Last Decade

Wai-Shun Cheung

13 papers receiving 336 citations

Peers

Wai-Shun Cheung
Comparison fields: 5 of 25
  • Algebra and Number Theory 340
  • Geometry and Topology 287
  • Computational Theory and Mathematics 127
  • Mathematical Physics 96
  • Discrete Mathematics and Combinatorics 45
Replace С. П. Мищенко with:
С. П. Мищенко Russia
Jeffrey Bergen United States
Vesselin Drensky Bulgaria
Alexander A. Mikhalev Russia
William F. Keigher United States
Zhankui Xiao China
Zhang Jian-hua China
Miguel Ferrero Brazil
Ualbai Umirbaev Kazakhstan
Chen-Lian Chuang Taiwan
Wai-Shun Cheung relative to С. П. Мищенко Russia С. П. Мищенко's profile →
Citations per field
00.5×2.7×
С. П. Мищенко · 1×
Citations per year

Countries citing papers authored by Wai-Shun Cheung

Since Specialization
Citations

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

Fields of papers citing papers by Wai-Shun Cheung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai-Shun Cheung. 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 Wai-Shun Cheung. The network helps show where Wai-Shun Cheung may publish in the future.

Co-authorship network of co-authors of Wai-Shun Cheung

This figure shows the co-authorship network connecting the top 25 collaborators of Wai-Shun Cheung. A scholar is included among the top collaborators of Wai-Shun Cheung 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 Wai-Shun Cheung. Wai-Shun Cheung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 1
2 4
3 2
4 0
5 0
6 2
7 1
8 1
9 14
10 8
11 1
12 145
13 17
14 143
15 8
16 28

About Wai-Shun Cheung

Wai-Shun Cheung is a scholar working on Algebra and Number Theory, Computational Theory and Mathematics and Geometry and Topology, having authored 16 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (12 papers), Matrix Theory and Algorithms (11 papers) and Algebraic structures and combinatorial models (4 papers). The work is most often cited by research in Algebra and Number Theory (340 citations), Geometry and Topology (287 citations) and Discrete Mathematics and Combinatorics (45 citations). Wai-Shun Cheung has collaborated with scholars based in United States, Portugal and Hong Kong. Frequent co-authors include Chi-Kwong Li, Nam‐Kiu Tsing, Shaun Fallat, Yiu‐Tung Poon, Tin-Yau Tam, Xuhua Liu and Leiba Rodman. Their work appears in journals such as Pacific Journal of Mathematics, Linear Algebra and its Applications and Journal of the London Mathematical Society.

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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