Guang‐Bao Xu

1.1k citations
56 papers · 808 indexed · h-index 18
Topics
Quantum Information and Cryptography (50 papers)Quantum Computing Algorithms and Architecture (47 papers)Quantum Mechanics and Applications (42 papers)
Partner nations
China

In The Last Decade

Guang‐Bao Xu

46 papers receiving 781 citations

Peers

Guang‐Bao Xu
Comparison fields: 5 of 28
  • Artificial Intelligence 751
  • Atomic and Molecular Physics, and Optics 660
  • Computational Theory and Mathematics 59
  • Computer Vision and Pattern Recognition 29
  • Computer Networks and Communications 15
Replace Dong‐Huan Jiang with:
Dong‐Huan Jiang China
Sébastien Kunz-Jacques France
Hongxiang Chen China
Maarten Van den Nest Germany
Wan‐Su Bao China
Christophe Vuillot Germany
Tingting Song China
Koji Nagata Japan
Tian‐Yin Wang China
Si-Hui Tan Singapore
Guang‐Bao Xu relative to Dong‐Huan Jiang China Dong‐Huan Jiang's profile →
Citations per field
00.5×6.3×
Dong‐Huan Jiang · 1×
Citations per year

Countries citing papers authored by Guang‐Bao Xu

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Bao Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang‐Bao Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Guang‐Bao Xu. A scholar is included among the top collaborators of Guang‐Bao Xu 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‐Bao Xu. Guang‐Bao Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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8 1
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11 0
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About Guang‐Bao Xu

Guang‐Bao Xu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computer Vision and Pattern Recognition, having authored 56 papers that have together received 808 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (50 papers), Quantum Computing Algorithms and Architecture (47 papers) and Quantum Mechanics and Applications (42 papers). The work is most often cited by research in Artificial Intelligence (751 citations), Atomic and Molecular Physics, and Optics (660 citations) and Computational Theory and Mathematics (59 citations). Guang‐Bao Xu has collaborated with scholars based in China. Frequent co-authors include Dong‐Huan Jiang, Fei Gao, Qiaoyan Wen, Su‐Juan Qin, Ying‐Hui Yang, Yu‐Guang Yang, Kejia Zhang, Yonghua Zhang, Hui-Juan Zuo and Juan Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physica A Statistical Mechanics and its Applications.

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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