Yingying Wu

140 total papers · 3.5k total citations
95 papers, 2.8k citations indexed

About

Yingying Wu is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Yingying Wu has authored 95 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Materials Chemistry, 21 papers in Electronic, Optical and Magnetic Materials and 18 papers in Electrical and Electronic Engineering. Recurrent topics in Yingying Wu's work include 2D Materials and Applications (14 papers), Magnetism in coordination complexes (13 papers) and Graphene research and applications (11 papers). Yingying Wu is often cited by papers focused on 2D Materials and Applications (14 papers), Magnetism in coordination complexes (13 papers) and Graphene research and applications (11 papers). Yingying Wu collaborates with scholars based in China, United States and Hong Kong. Yingying Wu's co-authors include Ke‐Jing Huang, Ning Wang, Shuigang Xu, Zefei Wu, Yuheng He, Yuan Cai, Tianyi Han, Xiaolong Chen, Yu Han and Weiguang Ye and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Yingying Wu

92 papers receiving 2.7k citations

Hit Papers

High-quality sandwiched b... 2015 2026 2018 2022 2015 2023 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Yingying Wu 1.6k 862 486 463 361 95 2.8k
Alexander Birkner 2.4k 1.5× 865 1.0× 364 0.7× 290 0.6× 399 1.1× 83 3.3k
Yang Song 1.5k 1.0× 567 0.7× 313 0.6× 296 0.6× 251 0.7× 90 2.8k
G. Schmid 1.7k 1.1× 1.0k 1.2× 803 1.7× 577 1.2× 632 1.8× 98 3.1k
Nicholas J. Mosey 1.2k 0.7× 700 0.8× 289 0.6× 578 1.2× 191 0.5× 75 2.9k
T. Mark McCleskey 2.1k 1.4× 1.0k 1.2× 637 1.3× 151 0.3× 415 1.1× 101 4.1k
Arshad Saleem Bhatti 1.5k 0.9× 1.2k 1.4× 462 1.0× 385 0.8× 401 1.1× 155 2.3k
Jing Su 2.1k 1.4× 1.2k 1.4× 886 1.8× 305 0.7× 414 1.1× 130 4.6k
C. Sella 922 0.6× 986 1.1× 435 0.9× 429 0.9× 779 2.2× 156 2.9k
Elvio Carlino 1.9k 1.2× 1.0k 1.2× 431 0.9× 552 1.2× 488 1.4× 78 3.0k
Abdelhafed Taleb 2.0k 1.3× 806 0.9× 949 2.0× 549 1.2× 673 1.9× 87 3.2k

Countries citing papers authored by Yingying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yingying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingying Wu

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