Dingkang Wang

501 total citations
47 papers, 211 citations indexed

About

Dingkang Wang is a scholar working on Computational Theory and Mathematics, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Dingkang Wang has authored 47 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computational Theory and Mathematics, 18 papers in Computational Mechanics and 15 papers in Artificial Intelligence. Recurrent topics in Dingkang Wang's work include Polynomial and algebraic computation (33 papers), Advanced Numerical Analysis Techniques (18 papers) and Cryptography and Residue Arithmetic (14 papers). Dingkang Wang is often cited by papers focused on Polynomial and algebraic computation (33 papers), Advanced Numerical Analysis Techniques (18 papers) and Cryptography and Residue Arithmetic (14 papers). Dingkang Wang collaborates with scholars based in China, United States and Canada. Dingkang Wang's co-authors include Yao Sun, Deepak Kapur, Xiaodong Ma, Fuding Xie, Xiao-Shan Gao, Jie Zhou, Ting Li, Dongdai Lin, Yang Zhang and Dong Lu and has published in prestigious journals such as Chaos Solitons & Fractals, Nonlinear Analysis and Science China Information Sciences.

In The Last Decade

Dingkang Wang

42 papers receiving 200 citations

Peers

Dingkang Wang
Comparison fields: 5 of 34
  • Computational Theory and Mathematics 161
  • Computational Mechanics 82
  • Algebra and Number Theory 69
  • Information Systems 49
  • Geometry and Topology 39
Replace Michael Kalkbrener with:
Michael Kalkbrener Switzerland
Térésa Krick Argentina
Masayuki Noro Japan
Alin Bostan France
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Martı́n Sombra Spain
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Anders Jensen United States
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Citations per field, relative to Dingkang Wang
Dingkang Wang · 1×
Citations per year, relative to Dingkang Wang
Dingkang Wang · 1×

Countries citing papers authored by Dingkang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dingkang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingkang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dingkang Wang. A scholar is included among the top collaborators of Dingkang Wang 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 Dingkang Wang. Dingkang Wang 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
# Work Indexed citations
1 2
2 2
3 2
4 1
5 2
6 1
7 2
8
The lightest 4 × 4 MDS matrices over GL(4, 𝔽 2 ).
1
9 1
10 0
11 5
12 3
13 12
14 0
15 8
16 16
17 10
18 12
19
A New Proof of the F5 Algorithm
4
20 0

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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