Binzhou Xia

37 papers receiving 256 citations

Peers

Binzhou Xia
Comparison fields: 5 of 27
  • Discrete Mathematics and Combinatorics 156
  • Algebra and Number Theory 32
  • Industrial and Manufacturing Engineering 45
  • Geometry and Topology 37
  • Artificial Intelligence 121
Replace Ajai Kapoor with:
Ajai Kapoor Italy
Bert Gerards Netherlands
L. Thiel Canada
Thomas Honold China
L. Pyber Hungary
Ko‐Wei Lih Taiwan
Yannick Saouter France
Peter Danziger Canada
Marcin Kozik Poland
Marilynn Livingston United States
Binzhou Xia relative to Ajai Kapoor Italy Ajai Kapoor's profile →
Citations per field
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Citations per year

Countries citing papers authored by Binzhou Xia

Since Specialization
Citations

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

Fields of papers citing papers by Binzhou Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Binzhou Xia, 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 Binzhou Xia Line = papers co-authored together Binzhou Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201071
2 201836
3 202015
4 201613
5 202013
6 201810
7 20228
8 20178
9 20178
10 20227
11 20106
12 20156
13 20175
14 20155
15 20195
16 20225
17 20195
18 20194
19 20194
20 20163

About Binzhou Xia

Binzhou Xia is a scholar working on Discrete Mathematics and Combinatorics, Electrical and Electronic Engineering, Artificial Intelligence, Geometry and Topology and Algebra and Number Theory, having authored 40 papers that have together received 265 indexed citations. Recurring topics across this work include Finite Group Theory Research (36 papers), graph theory and CDMA systems (27 papers), Coding theory and cryptography (20 papers), Graph theory and applications (4 papers), Advanced Algebra and Geometry (4 papers), Advanced Topics in Algebra (3 papers), Advanced Graph Theory Research (3 papers) and Cooperative Communication and Network Coding (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (156 citations), Algebra and Number Theory (32 citations), Industrial and Manufacturing Engineering (45 citations), Geometry and Topology (37 citations) and Artificial Intelligence (121 citations). Binzhou Xia has collaborated with scholars based in Australia, China and Italy. Frequent co-authors include Zhiyi Tan, Sanming Zhou, Cai Heng Li, He Huang, Michael Giudici, Cheryl E. Praeger, Jiyong Chen, Alice Devillers, Lei Wang and Jin‐Xin Zhou. Their work appears in journals such as Discrete Mathematics, Journal of Algebra, Journal of Combinatorial Theory Series B, Journal of Combinatorial Theory Series A and Ars Mathematica Contemporanea.

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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