Jíntai Ding

54 papers receiving 657 citations

Peers

Jíntai Ding
Comparison fields: 5 of 44
  • Algebra and Number Theory 193
  • Geometry and Topology 314
  • Statistical and Nonlinear Physics 217
  • Discrete Mathematics and Combinatorics 39
  • Artificial Intelligence 319
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Mark van Hoeij United States
Manuel Bronstein France
С. А. Абрамов Russia
Jaime Gutiérrez Spain
Joris van der Hoeven France
Henry J. Ricardo
Jürgen Gerhard Germany
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Citations per year

Countries citing papers authored by Jíntai Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jíntai Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993123
2 1997110
3 200665
4 201762
5 201732
6 202027
7 201819
8 201419
9 200018
10 200816
11 202016
12 201915
13
Multivariate Public Key Cryptosystems (Advances in Information Security)
200615
14
Post-Quantum Cryptography (PQCrypto 2008)
200812
15 201511
16
l -Invertible Cycles for M ultivariate Q uadratic ( MQ ) Public Key Cryptography.
200710
17 199710
18 20209
19 19948
20 20008

About Jíntai Ding

Jíntai Ding is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Geometry and Topology, Information Systems and Statistical and Nonlinear Physics, having authored 58 papers that have together received 708 indexed citations. Recurring topics across this work include Polynomial and algebraic computation (21 papers), Coding theory and cryptography (19 papers), Algebraic structures and combinatorial models (17 papers), Nonlinear Waves and Solitons (12 papers), Cryptography and Residue Arithmetic (11 papers), Advanced Topics in Algebra (11 papers), Cryptography and Data Security (9 papers) and Cryptographic Implementations and Security (9 papers). The work is most often cited by research in Algebra and Number Theory (193 citations), Geometry and Topology (314 citations), Statistical and Nonlinear Physics (217 citations), Discrete Mathematics and Combinatorics (39 citations) and Artificial Intelligence (319 citations). Jíntai Ding has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Igor Frenkel, Kenji Iohara, Albrecht Petzoldt, Dieter Schmidt, Johannes Buchmann, Jean–Pierre Tillich, Tetsuji Miwa, Scott Fluhrer, Xiaodong Lin and Boris Feigin. Their work appears in journals such as Letters in Mathematical Physics, Finite Fields and Their Applications, Publications of the Research Institute for Mathematical Sciences, Representation Theory of the American Mathematical Society and Information Sciences.

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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