Daiqin Su

34 total papers · 597 total citations
17 papers, 345 citations indexed

About

Daiqin Su is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Astronomy and Astrophysics. According to data from OpenAlex, Daiqin Su has authored 17 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Atomic and Molecular Physics, and Optics, 10 papers in Artificial Intelligence and 5 papers in Astronomy and Astrophysics. Recurrent topics in Daiqin Su's work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (8 papers) and Quantum Electrodynamics and Casimir Effect (5 papers). Daiqin Su is often cited by papers focused on Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (8 papers) and Quantum Electrodynamics and Casimir Effect (5 papers). Daiqin Su collaborates with scholars based in Australia, China and Canada. Daiqin Su's co-authors include Kamil Brádler, Casey R. Myers, Krishna Kumar Sabapathy, Timothy C. Ralph, Christian Weedbrook, Pierre-Luc Dallaire-Demers, Patrick Rebentrost, Maria Schuld, Brajesh Gupt and Robert J. Israel and has published in prestigious journals such as Nature Communications, Physical review. D and Physical review. A.

In The Last Decade

Daiqin Su

17 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Daiqin Su 268 185 49 32 27 17 345
Suhas Ganjam 268 1.0× 247 1.3× 62 1.3× 28 0.9× 22 0.8× 12 376
Víctor Zapatero 232 0.9× 192 1.0× 28 0.6× 64 2.0× 44 1.6× 14 320
Thiago Guerreiro 243 0.9× 283 1.5× 72 1.5× 21 0.7× 11 0.4× 26 348
Jaw-Shen Tsai 247 0.9× 309 1.7× 68 1.4× 12 0.4× 13 0.5× 11 362
Casey R. Myers 321 1.2× 279 1.5× 48 1.0× 6 0.2× 10 0.4× 23 384
Thomas E. Kiess 207 0.8× 234 1.3× 44 0.9× 58 1.8× 29 1.1× 17 318
Ananda Roy 142 0.5× 303 1.6× 49 1.0× 9 0.3× 27 1.0× 28 349
Max Hays 173 0.6× 326 1.8× 34 0.7× 26 0.8× 9 0.3× 13 391
Lukas Bulla 268 1.0× 272 1.5× 50 1.0× 9 0.3× 6 0.2× 13 327
Adam Bouland 256 1.0× 179 1.0× 30 0.6× 11 0.3× 15 0.6× 20 302

Countries citing papers authored by Daiqin Su

Since Specialization
Citations

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

Fields of papers citing papers by Daiqin Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiqin Su

This figure shows the co-authorship network connecting the top 25 collaborators of Daiqin Su. A scholar is included among the top collaborators of Daiqin Su 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 Daiqin Su. Daiqin Su 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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