Dakai Lin

1.4k citations
25 papers · 1.0k · 1 hit paper · h-index 12

Impact in

Papers in

Dakai Lin

25 papers receiving 961 citations

Dakai Lin's Hit Papers

Long-distance continuous-variable quantum key distribution by controlling excess noise 2016 · 296 citations
2960+3+6Years since publication50100150200250

Peers

Dakai Lin
Comparison fields: 5 of 42
  • Artificial Intelligence 795
  • Atomic and Molecular Physics, and Optics 621
  • Computational Mechanics 133
  • Aerospace Engineering 133
  • Computational Theory and Mathematics 76
Replace P.A. Davies with:
P.A. Davies United Kingdom
Yixiao Huang China
V. Vilnrotter United States
Meiguo Gao China
Shaya Karimkashi United States
Xueshuang Xiang China
W. J. Hurd United States
William J. Miceli United States
Dakai Lin relative to P.A. Davies United Kingdom P.A. Davies's profile →
Citations per field
00.5×10.2×
P.A. Davies · 1×
Citations per year

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).

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.

Co-authors

The 17 scholars most cited alongside Dakai Lin, 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 Dakai Lin Line = papers co-authored together Dakai Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Long-distance continuous-variable quantum key distribution by controlling excess noise
Hit paper breakdown →
2016296
2 2015182
3 2015148
4 200889
5 201554
6 201642
7 201536
8 201526
9 201721
10 201018
11 202017
12 201014
13 201511
14 20148
15 20148
16 20218
17 20208
18 20198
19 20127
20 20186

About Dakai Lin

Dakai Lin is a scholar working on Computational Mechanics, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Aerospace Engineering and Electrical and Electronic Engineering, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (10 papers), Aerodynamics and Acoustics in Jet Flows (9 papers), Quantum Computing Algorithms and Architecture (8 papers), Quantum Mechanics and Applications (6 papers), Electromagnetic Simulation and Numerical Methods (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Numerical methods in engineering (4 papers) and Quantum optics and atomic interactions (4 papers). The work is most often cited by research in Artificial Intelligence (795 citations), Atomic and Molecular Physics, and Optics (621 citations), Computational Mechanics (133 citations), Aerospace Engineering (133 citations) and Computational Theory and Mathematics (76 citations). Dakai Lin has collaborated with scholars based in China, United States and Ghana. Frequent co-authors include Peng Huang, Duan Huang, Guihua Zeng, Chao Wang, Jinye Peng, Fang Q. Hu, Xiaodong Li, Weiqi Liu, Min Jiang and Yingzhe Zhang. Their work appears in journals such as AIAA Journal, Physical review. A, Optics Express, Scientific Reports and Journal of Computational Physics.

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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