Chao Lei

570 total citations
25 papers, 386 citations indexed

About

Chao Lei is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, Chao Lei has authored 25 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atomic and Molecular Physics, and Optics, 15 papers in Materials Chemistry and 9 papers in Condensed Matter Physics. Recurrent topics in Chao Lei's work include Topological Materials and Phenomena (14 papers), Graphene research and applications (8 papers) and Advanced Condensed Matter Physics (8 papers). Chao Lei is often cited by papers focused on Topological Materials and Phenomena (14 papers), Graphene research and applications (8 papers) and Advanced Condensed Matter Physics (8 papers). Chao Lei collaborates with scholars based in United States, China and Saudi Arabia. Chao Lei's co-authors include A. H. MacDonald, Florian Libisch, Lukas Linhart, Jiangfeng Du, Wei Qin, Chenyong Ju, Yongxin Zeng, Hua Chen, Olle Heinonen and Chih‐Kang Shih and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Chao Lei

25 papers receiving 380 citations

Peers

Chao Lei
Comparison fields: 5 of 31
  • Atomic and Molecular Physics, and Optics 283
  • Materials Chemistry 230
  • Condensed Matter Physics 118
  • Electrical and Electronic Engineering 65
  • Electronic, Optical and Magnetic Materials 31
Replace Yen‐Hsiang Lin with:
Yen‐Hsiang Lin United States
Yota Takamura Japan
G. Karczewski Poland
Jae-Mo Lihm South Korea
Xingfei Zhou China
V. Kolkovsky Poland
Anh Pham Australia
S. Chouaieb France
A. Balocchi France
Yen‐Hsiang Lin United States View profile →
Citations per field, relative to Chao Lei
Chao Lei · 1×
Citations per year, relative to Chao Lei
Chao Lei · 1×

Countries citing papers authored by Chao Lei

Since Specialization
Citations

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

Fields of papers citing papers by Chao Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Lei. A scholar is included among the top collaborators of Chao Lei 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 Chao Lei. Chao Lei 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 1
2 1
3 1
4 8
5 23
6 44
7 4
8 13
9 26
10
Mirror Symmetry Breaking and Stacking-Shift Dependence in Twisted Trilayer Graphene
1
11 30
12 42
13 21
14 20
15 7
16 27
17 10
18 29
19 9
20 13

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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