Xiao‐Yuan Wu

317 total papers · 6.6k total citations
194 papers, 5.7k citations indexed

About

Xiao‐Yuan Wu is a scholar working on Inorganic Chemistry, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Xiao‐Yuan Wu has authored 194 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Inorganic Chemistry, 94 papers in Materials Chemistry and 47 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Xiao‐Yuan Wu's work include Metal-Organic Frameworks: Synthesis and Applications (94 papers), Polyoxometalates: Synthesis and Applications (48 papers) and Magnetism in coordination complexes (43 papers). Xiao‐Yuan Wu is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (94 papers), Polyoxometalates: Synthesis and Applications (48 papers) and Magnetism in coordination complexes (43 papers). Xiao‐Yuan Wu collaborates with scholars based in China, United States and Australia. Xiao‐Yuan Wu's co-authors include Can‐Zhong Lu, Rongmin Yu, Quan‐Guo Zhai, Xiaofei Kuang, Shumei Chen, Xu‐Lin Chen, Zhen‐Guo Zhao, James P. Donahue, Jian‐Zhen Liao and Qikai Zhang and has published in prestigious journals such as The Journal of Chemical Physics, Nano Letters and ACS Nano.

In The Last Decade

Xiao‐Yuan Wu

187 papers receiving 5.6k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Xiao‐Yuan Wu 2.9k 2.8k 1.3k 1.0k 777 194 5.7k
Partha Pratim Ray 2.2k 0.8× 2.1k 0.8× 1.6k 1.3× 643 0.6× 1.2k 1.6× 261 6.6k
Jian Wang 2.9k 1.0× 2.9k 1.0× 729 0.6× 1.6k 1.5× 535 0.7× 169 5.6k
Jungeun Kim 1.3k 0.5× 2.2k 0.8× 1.3k 1.0× 650 0.6× 1.2k 1.5× 158 4.8k
Dongwoo Kim 1.3k 0.5× 1.7k 0.6× 736 0.6× 1.7k 1.7× 357 0.5× 135 4.6k
Jian Fan 4.0k 1.4× 4.1k 1.4× 2.9k 2.2× 1.2k 1.2× 3.6k 4.7× 264 9.9k
Jacqueline M. Cole 740 0.3× 5.0k 1.8× 1.3k 1.0× 1.1k 1.1× 1.5k 1.9× 216 8.3k
Jun‐Long Zhang 966 0.3× 3.2k 1.1× 807 0.6× 1.4k 1.3× 822 1.1× 254 7.8k
Hai‐Bo Yang 3.5k 1.2× 6.9k 2.4× 1.2k 1.0× 9.5k 9.3× 988 1.3× 335 14.4k
Michel Simard 1.7k 0.6× 1.3k 0.5× 302 0.2× 1.7k 1.6× 327 0.4× 126 4.7k
John E. Warren 2.9k 1.0× 1.9k 0.7× 982 0.8× 1.4k 1.3× 149 0.2× 90 4.3k

Countries citing papers authored by Xiao‐Yuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Yuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Yuan Wu. 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 Xiao‐Yuan Wu. The network helps show where Xiao‐Yuan Wu may publish in the future.

Co-authorship network of co-authors of Xiao‐Yuan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Yuan Wu. A scholar is included among the top collaborators of Xiao‐Yuan Wu 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 Xiao‐Yuan Wu. Xiao‐Yuan Wu 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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