Yu Liu

5.1k total citations
168 papers, 3.6k citations indexed

About

Yu Liu is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Condensed Matter Physics. According to data from OpenAlex, Yu Liu has authored 168 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Materials Chemistry, 78 papers in Electronic, Optical and Magnetic Materials and 49 papers in Condensed Matter Physics. Recurrent topics in Yu Liu's work include 2D Materials and Applications (74 papers), Iron-based superconductors research (37 papers) and Magnetic and transport properties of perovskites and related materials (30 papers). Yu Liu is often cited by papers focused on 2D Materials and Applications (74 papers), Iron-based superconductors research (37 papers) and Magnetic and transport properties of perovskites and related materials (30 papers). Yu Liu collaborates with scholars based in China, United States and Serbia. Yu Liu's co-authors include C. Petrović, W. J. Lu, Yuping Sun, Ran Ang, Ding‐Fu Shao, Eli Stavitski, Klaus Attenkofer, Wenhai Song, Hongyan Lv and Adam W. Tsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Advanced Materials.

In The Last Decade

Yu Liu

160 papers receiving 3.5k citations

Peers

Yu Liu
Comparison fields: 5 of 92
  • Materials Chemistry 2.6k
  • Electronic, Optical and Magnetic Materials 1.6k
  • Electrical and Electronic Engineering 959
  • Atomic and Molecular Physics, and Optics 912
  • Condensed Matter Physics 806
Yan Wen China
Yisheng Chai China
F. Bertran France
Rolf Lortz Hong Kong
Jun Sung Kim South Korea
E. Giannini Switzerland
Turan Birol United States
Songxue Chi United States
W. Meevasana Thailand
Zhe Sun China
Yan Wen China View profile →
Citations per field, relative to Yu Liu
Yu Liu · 1×
Citations per year, relative to Yu Liu
Yu Liu · 1×

Countries citing papers authored by Yu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Liu. A scholar is included among the top collaborators of Yu Liu 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 Yu Liu. Yu Liu 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
# Work Indexed citations
1 0
2 2
3 1
4 4
5 0
6 4
7 13
8 6
9 1
10 12
11 20
12 6
13 21
14 5
15 11
16 16
17 4
18 135
19 155
20 61

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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