Guang‐Han Cao

557 total papers · 10.7k total citations
390 papers, 8.1k citations indexed

About

Guang‐Han Cao is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics and Materials Chemistry. According to data from OpenAlex, Guang‐Han Cao has authored 390 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 306 papers in Electronic, Optical and Magnetic Materials, 285 papers in Condensed Matter Physics and 60 papers in Materials Chemistry. Recurrent topics in Guang‐Han Cao's work include Iron-based superconductors research (265 papers), Rare-earth and actinide compounds (181 papers) and Physics of Superconductivity and Magnetism (155 papers). Guang‐Han Cao is often cited by papers focused on Iron-based superconductors research (265 papers), Rare-earth and actinide compounds (181 papers) and Physics of Superconductivity and Magnetism (155 papers). Guang‐Han Cao collaborates with scholars based in China, United States and Germany. Guang‐Han Cao's co-authors include Zhu‐An Xu, Chunmu Feng, Cao Wang, Shuai Jiang, Tao Qian, Yongkang Luo, Zhi Ren, Zhi Ren, Yuke Li and Zengwei Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Guang‐Han Cao

372 papers receiving 7.8k citations

Author Peers

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

Author Last Decade Papers Cites
Guang‐Han Cao 6.5k 5.3k 1.4k 1.2k 588 390 8.1k
Yoshikazu Mizuguchi 4.9k 0.7× 3.6k 0.7× 1.2k 0.9× 1.3k 1.1× 276 0.5× 252 5.8k
Yoshihiko Takano 6.0k 0.9× 5.9k 1.1× 3.0k 2.2× 1.4k 1.2× 301 0.5× 446 9.4k
R. J. McQueeney 5.4k 0.8× 4.8k 0.9× 1.3k 1.0× 1.0k 0.9× 519 0.9× 186 7.0k
Maw‐Kuen Wu 5.0k 0.8× 4.2k 0.8× 1.1k 0.8× 1.4k 1.2× 291 0.5× 241 6.5k
Rongying Jin 6.8k 1.0× 5.8k 1.1× 2.7k 1.9× 1.5k 1.2× 554 0.9× 234 8.9k
A. Amato 6.9k 1.1× 7.7k 1.4× 1.6k 1.2× 878 0.7× 205 0.3× 405 9.7k
A. Kreyßig 5.7k 0.9× 4.6k 0.9× 831 0.6× 1.5k 1.2× 747 1.3× 169 6.6k
J. L. Zarestky 4.3k 0.7× 3.5k 0.6× 1.5k 1.1× 983 0.8× 359 0.6× 119 5.6k
H. Claus 4.3k 0.7× 6.2k 1.2× 1.4k 1.0× 545 0.4× 262 0.4× 193 7.7k
Dirk Johrendt 7.5k 1.2× 5.4k 1.0× 2.3k 1.7× 1.7k 1.4× 852 1.4× 265 9.6k

Countries citing papers authored by Guang‐Han Cao

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Han Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guang‐Han Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Guang‐Han Cao. A scholar is included among the top collaborators of Guang‐Han Cao 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‐Han Cao. Guang‐Han Cao 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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2026