Dingyi Pei

572 citations
47 papers · 384 · h-index 12

Impact in

Papers in

Dingyi Pei

43 papers receiving 351 citations

Peers

Dingyi Pei
Comparison fields: 5 of 38
  • Artificial Intelligence 296
  • Discrete Mathematics and Combinatorics 17
  • Algebra and Number Theory 23
  • Computer Networks and Communications 104
  • Computational Theory and Mathematics 66
Replace Chris Monico with:
Chris Monico United States
Carlos Munuera Spain
Shudi Yang China
Olav Geil Denmark
Gudmund Skovbjerg Frandsen Denmark
Willi Geiselmann Germany
Katalin Friedl Hungary
Bruce Dodson United States
Stanislav Bulygin Germany
Igor Semaev Norway
Dingyi Pei relative to Chris Monico United States Chris Monico's profile →
Citations per field
00.5×2.6×
Chris Monico · 1×
Citations per year

Countries citing papers authored by Dingyi Pei

Since Specialization
Citations

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

Fields of papers citing papers by Dingyi Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dingyi Pei, 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 Dingyi Pei Line = papers co-authored together Dingyi Pei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201146
2 199533
3 200733
4 200528
5 200822
6 200819
7 200516
8 201615
9 201213
10 199813
11
Authentication Codes and Combinatorial Designs (Discrete Mathematics and Its Applications)
200612
12 199912
13 201011
14 200111
15 200011
16 20108
17 20108
18 20157
19 20116
20 20066

About Dingyi Pei

Dingyi Pei is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems and Mathematical Physics, having authored 47 papers that have together received 384 indexed citations. Recurring topics across this work include Coding theory and cryptography (21 papers), Cryptographic Implementations and Security (12 papers), Cryptography and Data Security (11 papers), graph theory and CDMA systems (11 papers), Cryptography and Residue Arithmetic (8 papers), Advanced Algebra and Geometry (6 papers), Security in Wireless Sensor Networks (5 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Artificial Intelligence (296 citations), Discrete Mathematics and Combinatorics (17 citations), Algebra and Number Theory (23 citations), Computer Networks and Communications (104 citations) and Computational Theory and Mathematics (66 citations). Dingyi Pei has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Meicheng Liu, Dongdai Lin, Yong Li, Helger Lipmaa, Willy Susilo, Yi Mu, Lei Hu, Reihaneh Safavi–Naini, Yuqiang Li and Yejing Wang. Their work appears in journals such as Science China Information Sciences, IEEE Transactions on Information Theory, Designs Codes and Cryptography, Electronics Letters and Journal of Combinatorial Designs.

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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