Shuhong Gao

2.6k citations
87 papers · 1.3k indexed · h-index 22
Topics
Coding theory and cryptography (32 papers)Cryptography and Residue Arithmetic (28 papers)Polynomial and algebraic computation (20 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Shuhong Gao

76 papers receiving 1.2k citations

Peers

Shuhong Gao
Comparison fields: 5 of 124
  • Artificial Intelligence 618
  • Information Systems 404
  • Computational Theory and Mathematics 396
  • Computer Vision and Pattern Recognition 162
  • Electrical and Electronic Engineering 157
Replace David G. Cantor with:
David G. Cantor United States
Aleksandar Ilić Serbia
Ian Munro Canada
Shmuel Onn Israel
Konstantin Makarychev United States
Moshe Lewenstein Israel
Richard Peng United States
Rekha R. Thomas United States
Lajos Rónyai Hungary
Fréderik Vercauteren Belgium
Shuhong Gao relative to David G. Cantor United States David G. Cantor's profile →
Citations per field
00.5×9.3×
David G. Cantor · 1×
Citations per year

Countries citing papers authored by Shuhong Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shuhong Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuhong Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Shuhong Gao. A scholar is included among the top collaborators of Shuhong Gao 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 Shuhong Gao. Shuhong Gao 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 0
3 7
4 3
5 4
6 6
7 20
8
Counting roots for polynomials modulo prime powers
0
9 0
10 0
11 1
12 4
13
In vivo tissue distribution of periplocin in rats
1
14
Research on Grounding and Disturbance Restraint in Electromagnetic Compatibility
0
15 52
16 8
17 3
18
Construction and distribution problems for irreducible trinomials over finite fields
15
19 32
20 20

About Shuhong Gao

Shuhong Gao is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Algebra and Number Theory, having authored 87 papers that have together received 1.3k indexed citations. Recurring topics across this work include Coding theory and cryptography (32 papers), Cryptography and Residue Arithmetic (28 papers) and Polynomial and algebraic computation (20 papers). The work is most often cited by research in Computational Mathematics (21 citations), Computational Theory and Mathematics (396 citations) and Algebra and Number Theory (94 citations). Shuhong Gao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Alan G. B. Lauder, Yingying Zhang, Kui Jia, H. W. Lenstra, Jiwen Lu, Scott A. Vanstone, Ian F. Blake, Joachim von zur Gathen, Daniel Panario and Huapeng Wu. Their work appears in journals such as PLoS ONE, Water Research 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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