Guang‐Can Guo

391 total papers · 7.9k total citations
245 papers, 5.9k citations indexed

About

Guang‐Can Guo is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Guang‐Can Guo has authored 245 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 219 papers in Atomic and Molecular Physics, and Optics, 212 papers in Artificial Intelligence and 36 papers in Electrical and Electronic Engineering. Recurrent topics in Guang‐Can Guo's work include Quantum Information and Cryptography (206 papers), Quantum Mechanics and Applications (134 papers) and Quantum Computing Algorithms and Architecture (119 papers). Guang‐Can Guo is often cited by papers focused on Quantum Information and Cryptography (206 papers), Quantum Mechanics and Applications (134 papers) and Quantum Computing Algorithms and Architecture (119 papers). Guang‐Can Guo collaborates with scholars based in China, United States and Germany. Guang‐Can Guo's co-authors include Chuan‐Feng Li, Xu‐Bo Zou, Yong-Sheng Zhang, Jin‐Shi Xu, L.-M. Duan, Chengjie Zhang, Yun‐Feng Xiao, Zheng‐Fu Han, Guo‐Yong Xiang and Yun‐Feng Huang and has published in prestigious journals such as Physical Review Letters, Nature Communications and Applied Physics Letters.

In The Last Decade

Guang‐Can Guo

226 papers receiving 5.6k citations

Hit Papers

Correction: Corrigendum: ... 2010 2026 2015 2020 2013 2010 2021 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Guang‐Can Guo 4.7k 4.7k 720 313 297 245 5.9k
Zheng‐Fu Han 4.5k 0.9× 4.1k 0.9× 1.4k 1.9× 272 0.9× 387 1.3× 250 5.6k
Fuli Li 3.7k 0.8× 2.3k 0.5× 927 1.3× 432 1.4× 480 1.6× 369 5.1k
R. McDermott 3.1k 0.7× 1.9k 0.4× 603 0.8× 300 1.0× 325 1.1× 71 4.0k
Chuan‐Feng Li 8.5k 1.8× 7.5k 1.6× 1.2k 1.7× 832 2.7× 450 1.5× 465 10.4k
Guo‐Ping Guo 2.5k 0.5× 1.5k 0.3× 1.6k 2.2× 1.1k 3.5× 542 1.8× 250 4.3k
Xian‐Min Jin 3.3k 0.7× 2.8k 0.6× 1.1k 1.5× 152 0.5× 268 0.9× 123 4.2k
Jared H. Cole 2.6k 0.5× 1.2k 0.3× 815 1.1× 956 3.1× 256 0.9× 114 3.4k
S. P. Kulik 3.1k 0.7× 2.7k 0.6× 672 0.9× 101 0.3× 278 0.9× 188 3.9k
Zhiliang Yuan 4.6k 1.0× 4.1k 0.9× 2.2k 3.0× 765 2.4× 340 1.1× 158 6.8k
Siyuan Han 3.6k 0.8× 2.9k 0.6× 530 0.7× 187 0.6× 141 0.5× 136 4.6k

Countries citing papers authored by Guang‐Can Guo

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Can Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang‐Can Guo. 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 Guang‐Can Guo. The network helps show where Guang‐Can Guo may publish in the future.

Co-authorship network of co-authors of Guang‐Can Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Guang‐Can Guo. A scholar is included among the top collaborators of Guang‐Can Guo 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 Guang‐Can Guo. Guang‐Can Guo 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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