Guang-Can Guo

1.5k citations
18 papers · 1.1k indexed · h-index 11
Topics
Quantum Information and Cryptography (11 papers)Quantum Mechanics and Applications (9 papers)Quantum Computing Algorithms and Architecture (8 papers)
Partner nations
ChinaGermanyHungary

In The Last Decade

Guang-Can Guo

16 papers receiving 1.1k citations

Peers

Guang-Can Guo
Comparison fields: 5 of 49
  • Atomic and Molecular Physics, and Optics 962
  • Artificial Intelligence 702
  • Electrical and Electronic Engineering 194
  • Electronic, Optical and Magnetic Materials 129
  • Statistical and Nonlinear Physics 128
Replace Jian Ma with:
Jian Ma China
Carlos Gonzalez-Ballestero Austria
Tommaso Tufarelli United Kingdom
Fredrik Hocke Germany
Keyu Xia China
Benjamin T. H. Varcoe United Kingdom
J. C. Retamal Chile
Shang Yu China
Tiefu Li China
M. Al-Amri Saudi Arabia
Guang-Can Guo relative to Jian Ma China Jian Ma's profile →
Citations per field
00.5×1.5×2.3×
Jian Ma · 1×
Citations per year

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

18 of 18 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 4
5 5
6 33
7 16
8 164
9 95
10 158
11 66
12 176
13 218
14 56
15 30
16 103
17 1
18 9

About Guang-Can Guo

Guang-Can Guo is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (11 papers), Quantum Mechanics and Applications (9 papers) and Quantum Computing Algorithms and Architecture (8 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (962 citations), Artificial Intelligence (702 citations) and Statistical and Nonlinear Physics (128 citations). Guang-Can Guo has collaborated with scholars based in China, Germany and Hungary. Frequent co-authors include Kai Sun, Chuan-Feng Li, Shi-Yao Zhu, Yaron Kedem, Lev Vaidman, Rosario Lo Franco, Giuseppe Compagno, Erika Andersson, Xiao Xiong and Cheng Wang. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical Review B.

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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