Yingqiu Mao

29 total papers · 1.3k total citations
21 papers, 824 citations indexed

About

Yingqiu Mao is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Yingqiu Mao has authored 21 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 17 papers in Atomic and Molecular Physics, and Optics and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Yingqiu Mao's work include Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum Mechanics and Applications (9 papers). Yingqiu Mao is often cited by papers focused on Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum Mechanics and Applications (9 papers). Yingqiu Mao collaborates with scholars based in China, United States and Japan. Yingqiu Mao's co-authors include Jian-Wei Pan, Teng‐Yun Chen, Hua‐Lei Yin, Qiang Zhang, Sijing Chen, Weijun Zhang, Daniel A. Nolan, Zhen Wang, Xiao Jiang and Xiang‐Bin Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Applied Physics Letters.

In The Last Decade

Yingqiu Mao

21 papers receiving 771 citations

Hit Papers

Measurement-Device-Indepe... 2016 2026 2019 2022 2016 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Yingqiu Mao 726 675 184 26 26 21 824
Chris Erven 648 0.9× 568 0.8× 286 1.6× 19 0.7× 41 1.6× 26 802
Jiu-Peng Chen 604 0.8× 576 0.9× 145 0.8× 26 1.0× 54 2.1× 20 788
Davide Rusca 651 0.9× 561 0.8× 173 0.9× 26 1.0× 20 0.8× 17 744
Mingqi Huang 678 0.9× 637 0.9× 117 0.6× 29 1.1× 25 1.0× 9 750
Bernhard Ömer 802 1.1× 701 1.0× 160 0.9× 17 0.7× 34 1.3× 10 932
Fabian Laudenbach 535 0.7× 379 0.6× 248 1.3× 18 0.7× 23 0.9× 18 718
Hai-Lin Yong 576 0.8× 581 0.9× 104 0.6× 21 0.8× 47 1.8× 18 701
Z. Vernon 571 0.8× 503 0.7× 371 2.0× 20 0.8× 17 0.7× 13 834
Yi-Heng Zhou 930 1.3× 876 1.3× 105 0.6× 32 1.2× 20 0.8× 14 985
Jacob F. F. Bulmer 618 0.9× 418 0.6× 225 1.2× 18 0.7× 15 0.6× 11 768

Countries citing papers authored by Yingqiu Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yingqiu Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingqiu Mao

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