Lei Cao

946 citations
71 papers · 656 · h-index 15

Impact in

Papers in

Lei Cao

61 papers receiving 644 citations

Peers

Lei Cao
Comparison fields: 5 of 77
  • Nuclear and High Energy Physics 217
  • Materials Chemistry 367
  • Mechanical Engineering 180
  • Aerospace Engineering 117
  • Biomedical Engineering 202
Replace Akira Tonegawa with:
Akira Tonegawa Japan
K. P. Savkin Russia
D.R. Chichili United States
Daniel T. Martinez United States
Маzhyn Skakov Kazakhstan
G. V. Garkushin Russia
Sebastian Buhl Germany
Marek Barlak Poland
F. Brossa Italy
Naseem A. Munshi United States
Lei Cao relative to Akira Tonegawa Japan Akira Tonegawa's profile →
Citations per field
00.5×5.6×
Akira Tonegawa · 1×
Citations per year

Countries citing papers authored by Lei Cao

Since Specialization
Citations

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

Fields of papers citing papers by Lei Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lei Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lei Cao Line = papers co-authored together Lei Cao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201869
2 201546
3 202443
4 201439
5 202137
6 201535
7 202228
8 202126
9 201426
10 202320
11 202119
12 201817
13 202216
14 202414
15 202214
16 201611
17 201610
18 201410
19 201410
20 19939

About Lei Cao

Lei Cao is a scholar working on Materials Chemistry, Biomedical Engineering, Nuclear and High Energy Physics, Mechanical Engineering and Aerospace Engineering, having authored 71 papers that have together received 656 indexed citations. Recurring topics across this work include Fusion materials and technologies (32 papers), Magnetic confinement fusion research (25 papers), Superconducting Materials and Applications (23 papers), Nuclear Materials and Properties (14 papers), Particle accelerators and beam dynamics (8 papers), Advanced materials and composites (7 papers), Nuclear reactor physics and engineering (7 papers) and Microstructure and Mechanical Properties of Steels (6 papers). The work is most often cited by research in Nuclear and High Energy Physics (217 citations), Materials Chemistry (367 citations), Mechanical Engineering (180 citations), Aerospace Engineering (117 citations) and Biomedical Engineering (202 citations). Lei Cao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Damao Yao, Zibo Zhou, Guoxing Qiu, Dongping Zhan, Le Han, Na Li, Ihsan Ullah, Xing Zhang, Chao Liang and Dandan Xia. Their work appears in journals such as Fusion Engineering and Design, IEEE Transactions on Plasma Science, Journal of Fusion Energy, IEEE Transactions on Applied Superconductivity and Journal of Iron and Steel Research International.

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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