Dakai Lin

23 papers and 967 indexed citations i.

About

Dakai Lin is a scholar working on Artificial Intelligence, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Dakai Lin has authored 23 papers receiving a total of 967 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 10 papers in Computational Mechanics and 8 papers in Aerospace Engineering. Recurrent topics in Dakai Lin’s work include Quantum Information and Cryptography (10 papers), Aerodynamics and Acoustics in Jet Flows (8 papers) and Quantum Computing Algorithms and Architecture (8 papers). Dakai Lin is often cited by papers focused on Quantum Information and Cryptography (10 papers), Aerodynamics and Acoustics in Jet Flows (8 papers) and Quantum Computing Algorithms and Architecture (8 papers). Dakai Lin collaborates with scholars based in China, United States and Ghana. Dakai Lin's co-authors include Peng Huang, Guihua Zeng, Duan Huang, Chao Wang, Jinye Peng, Fang Q. Hu, Weiqi Liu, Xiaodong Li, Min Jiang and Yingzhe Zhang and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and Optics Letters.

In The Last Decade

Co-authorship network of co-authors of Dakai Lin i

Fields of papers citing papers by Dakai Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dakai Lin

Since Specialization
Citations

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

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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2025