Xinyuan Wei

57 total papers · 737 total citations
41 papers, 577 citations indexed

About

Xinyuan Wei is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, Xinyuan Wei has authored 41 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Atomic and Molecular Physics, and Optics, 19 papers in Materials Chemistry and 14 papers in Condensed Matter Physics. Recurrent topics in Xinyuan Wei's work include Topological Materials and Phenomena (9 papers), Advanced Condensed Matter Physics (8 papers) and Graphene research and applications (6 papers). Xinyuan Wei is often cited by papers focused on Topological Materials and Phenomena (9 papers), Advanced Condensed Matter Physics (8 papers) and Graphene research and applications (6 papers). Xinyuan Wei collaborates with scholars based in China, United States and Germany. Xinyuan Wei's co-authors include Zhongqin Yang, Ruqian Wu, Chi-lun Chiang, Yanxing Zhang, W. Ho, Zhumin Han, Chen Xu, Peter J. Wagner, Gregory Czap and Wei Li and has published in prestigious journals such as Science, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Xinyuan Wei

38 papers receiving 564 citations

Author Peers

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

Author Last Decade Papers Cites
Xinyuan Wei 291 239 147 121 118 41 577
Chunli Ma 297 1.0× 166 0.7× 103 0.7× 99 0.8× 54 0.5× 29 531
J. H. Zhang 302 1.0× 103 0.4× 127 0.9× 287 2.4× 122 1.0× 26 564
Sari Granroth 285 1.0× 129 0.5× 149 1.0× 175 1.4× 114 1.0× 55 673
F.F.L. Bentivegna 197 0.7× 285 1.2× 223 1.5× 106 0.9× 155 1.3× 37 543
Kh.M. Eid 481 1.7× 106 0.4× 208 1.4× 72 0.6× 59 0.5× 44 644
L. Adamowicz 227 0.8× 200 0.8× 115 0.8× 81 0.7× 121 1.0× 54 503
Winfried Daum 222 0.8× 136 0.6× 236 1.6× 124 1.0× 127 1.1× 25 534
Rintaro Shimada 172 0.6× 230 1.0× 147 1.0× 136 1.1× 171 1.4× 42 623
Giulia Serrano 366 1.3× 262 1.1× 201 1.4× 204 1.7× 90 0.8× 33 634
Puneet Mishra 276 0.9× 251 1.1× 196 1.3× 68 0.6× 81 0.7× 38 582

Countries citing papers authored by Xinyuan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xinyuan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinyuan Wei. 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 Xinyuan Wei. The network helps show where Xinyuan Wei may publish in the future.

Co-authorship network of co-authors of Xinyuan Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Xinyuan Wei. A scholar is included among the top collaborators of Xinyuan Wei 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 Xinyuan Wei. Xinyuan Wei 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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