Chao Dai

63 papers receiving 769 citations

Peers

Chao Dai
Comparison fields: 5 of 92
  • Condensed Matter Physics 116
  • Electronic, Optical and Magnetic Materials 118
  • Biomedical Engineering 230
  • Organic Chemistry 146
  • Atmospheric Science 69
Replace Priya Subramanian with:
Priya Subramanian United Kingdom
Biao Li China
A. V. Anilkumar United States
Chu Li China
Dong Yang China
Keisuke Hayashi Japan
Ling Jiang China
Wesley F. Reinhart United States
Chao Dai relative to Priya Subramanian United Kingdom Priya Subramanian's profile →
Citations per field
00.5×3.6×
Priya Subramanian · 1×
Citations per year

Countries citing papers authored by Chao Dai

Since Specialization
Citations

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

Fields of papers citing papers by Chao Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chao Dai, 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 Chao Dai Line = papers co-authored together Chao Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012149
2 201466
3 201358
4 201254
5 201735
6 201330
7 202128
8 202327
9 201027
10 202123
11 201421
12 201718
13 201018
14 201317
15 202314
16 202414
17 202314
18 201311
19 202110
20 20209

About Chao Dai

Chao Dai is a scholar working on Biomedical Engineering, Aerospace Engineering, Electrical and Electronic Engineering, Materials Chemistry and Condensed Matter Physics, having authored 73 papers that have together received 781 indexed citations. Recurring topics across this work include Superconducting Materials and Applications (30 papers), Particle accelerators and beam dynamics (17 papers), Physics of Superconductivity and Magnetism (12 papers), Magnetic confinement fusion research (7 papers), Ferroelectric and Piezoelectric Materials (7 papers), Microwave Dielectric Ceramics Synthesis (6 papers), Thin-Film Transistor Technologies (5 papers) and HVDC Systems and Fault Protection (5 papers). The work is most often cited by research in Condensed Matter Physics (116 citations), Electronic, Optical and Magnetic Materials (118 citations), Biomedical Engineering (230 citations), Organic Chemistry (146 citations) and Atmospheric Science (69 citations). Chao Dai has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Zhengkun Yu, Zhaoqing Xu, Fei Huang, Yanfeng Gao, Yu Wu, Jinggang Qin, Shutang Tan, He Liu, Hong‐Wei Xue and Yuan Lin. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Review of Scientific Instruments, Fusion Engineering and Design, Applied Physics Letters and Superconductor Science and Technology.

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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