Wujie Shi

1.1k citations
76 papers · 685 indexed · h-index 16
Topics
Finite Group Theory Research (74 papers)graph theory and CDMA systems (63 papers)Coding theory and cryptography (54 papers)
Journals
SHILAP Revista de lepidopterologíaProceedings of the American Mathematical SocietyJournal of Algebra
Partner nations
ChinaRussiaSlovenia

In The Last Decade

Wujie Shi

70 papers receiving 587 citations

Peers

Wujie Shi
Comparison fields: 5 of 29
  • Discrete Mathematics and Combinatorics 658
  • Artificial Intelligence 564
  • Electrical and Electronic Engineering 524
  • Geometry and Topology 49
  • Mathematical Physics 43
Replace В. Д. Мазуров with:
В. Д. Мазуров Russia
Silvio Dolfi Italy
Alexander Moretó Spain
Olaf Manz Germany
Ulrich Dempwolff Germany
David Chillag Israel
R. Esteban‐Romero Spain
Yakov Berkovich Israel
A. R. Camina United Kingdom
Timothy C. Burness United Kingdom
Wujie Shi relative to В. Д. Мазуров Russia В. Д. Мазуров's profile →
Citations per field
00.5×1.5×
В. Д. Мазуров · 1×
Citations per year

Countries citing papers authored by Wujie Shi

Since Specialization
Citations

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

Fields of papers citing papers by Wujie Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wujie Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Wujie Shi. A scholar is included among the top collaborators of Wujie Shi 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 Wujie Shi. Wujie Shi 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 1
2 1
3 13
4 17
5
NONCOMMUTING GRAPH CHARACTERIZATION OF SOME SIMPLE GROUPS WITH CONNECTED PRIME GRAPHS
3
6 6
7 1
8
OD-CHARACTERIZATION OF ALMOST SIMPLE GROUPS RELATED TO L2(49)
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9 7
10 15
11 6
12 5
13 6
14 7
15
Finite groups whose element orders do not exceed twenty
17
16 21
17 4
18
More on the set of element orders in finite groups
0
19 48
20 38

About Wujie Shi

Wujie Shi is a scholar working on Discrete Mathematics and Combinatorics, Artificial Intelligence and Algebra and Number Theory, having authored 76 papers that have together received 685 indexed citations. Recurring topics across this work include Finite Group Theory Research (74 papers), graph theory and CDMA systems (63 papers) and Coding theory and cryptography (54 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (658 citations), Artificial Intelligence (564 citations) and Algebra and Number Theory (43 citations). Wujie Shi has collaborated with scholars based in China, Russia and Slovenia. Frequent co-authors include Liangcai Zhang, Rolf Brandl, Guohua Qian, Cheryl E. Praeger, Zhencai Shen, В. Д. Мазуров, Lingli Wang, M. A. Grechkoseeva, A. V. Vasil’ev and Alexander Moretó. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the American Mathematical Society and Journal of Algebra.

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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