Dongdai Lin

430 total papers · 4.0k total citations
175 papers, 1.6k citations indexed

About

Dongdai Lin is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Dongdai Lin has authored 175 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Artificial Intelligence, 43 papers in Computational Theory and Mathematics and 40 papers in Electrical and Electronic Engineering. Recurrent topics in Dongdai Lin's work include Coding theory and cryptography (93 papers), Cryptographic Implementations and Security (60 papers) and graph theory and CDMA systems (36 papers). Dongdai Lin is often cited by papers focused on Coding theory and cryptography (93 papers), Cryptographic Implementations and Security (60 papers) and graph theory and CDMA systems (36 papers). Dongdai Lin collaborates with scholars based in China, United States and Singapore. Dongdai Lin's co-authors include Sun‐Yuan Kung, Jianghua Zhong, Ingrid Verbauwhede, Wentao Zhang, Bohan Yang, Zhenzhen Bao, Vincent Rijmen, Tianjie Cao, Meicheng Liu and Qiuyan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and IEEE Transactions on Information Theory.

In The Last Decade

Dongdai Lin

152 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Dongdai Lin 981 398 348 294 274 175 1.6k
Fabrizio Luccio 583 0.6× 201 0.5× 559 1.6× 252 0.9× 582 2.1× 102 1.7k
Martin Anthony 1.5k 1.5× 455 1.1× 152 0.4× 175 0.6× 325 1.2× 76 2.0k
Jungang Lou 453 0.5× 179 0.4× 1.1k 3.1× 359 1.2× 227 0.8× 125 2.3k
Zhijun Wu 752 0.8× 184 0.5× 881 2.5× 215 0.7× 115 0.4× 159 1.8k
A.B. Premkumar 704 0.7× 145 0.4× 212 0.6× 578 2.0× 246 0.9× 137 1.5k
Hisao Tamaki 881 0.9× 360 0.9× 307 0.9× 96 0.3× 473 1.7× 62 1.8k
Rui Mao 547 0.6× 252 0.6× 546 1.6× 213 0.7× 94 0.3× 138 1.5k
Konstantinos G. Margaritis 911 0.9× 231 0.6× 201 0.6× 104 0.4× 306 1.1× 117 1.5k
Animashree Anandkumar 652 0.7× 180 0.5× 409 1.2× 227 0.8× 83 0.3× 99 1.6k
Luiz Henrique de Figueiredo 217 0.2× 289 0.7× 153 0.4× 145 0.5× 272 1.0× 76 1.5k

Countries citing papers authored by Dongdai Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dongdai Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongdai Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Dongdai Lin. A scholar is included among the top collaborators of Dongdai Lin 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 Dongdai Lin. Dongdai Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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