Wei Gai

59 papers receiving 514 citations

Peers

Wei Gai
Comparison fields: 5 of 39
  • Nuclear and High Energy Physics 148
  • Atomic and Molecular Physics, and Optics 319
  • Aerospace Engineering 228
  • Structural Biology 10
  • Electrical and Electronic Engineering 384
Replace Barbara Marchetti with:
Barbara Marchetti Germany
C. Clarke United States
Sergey Antipov United States
R. Tikhoplav United States
O. Williams United States
M. Bellaveglia Italy
Heather Andrews United States
Valeri Lebedev United States
Guoxing Xia United Kingdom
S. S. Baturin Russia
Wei Gai relative to Barbara Marchetti Germany Barbara Marchetti's profile →
Citations per field
00.5×1.5×2.1×
Barbara Marchetti · 1×
Citations per year

Countries citing papers authored by Wei Gai

Since Specialization
Citations

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

Fields of papers citing papers by Wei Gai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200162
2 200043
3 201638
4 199926
5 201423
6 200323
7 201021
8 201517
9 200417
10 200917
11 201715
12 201314
13 201613
14 201813
15 200812
16 201810
17 200110
18 20099
19 19919
20 20129

About Wei Gai

Wei Gai is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Nuclear and High Energy Physics, having authored 66 papers that have together received 529 indexed citations. Recurring topics across this work include Particle Accelerators and Free-Electron Lasers (43 papers), Particle accelerators and beam dynamics (42 papers), Gyrotron and Vacuum Electronics Research (35 papers), Terahertz technology and applications (6 papers), Superconducting Materials and Applications (5 papers), Space Technology and Applications (5 papers), Particle Detector Development and Performance (5 papers) and Pulsed Power Technology Applications (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (148 citations), Atomic and Molecular Physics, and Optics (319 citations), Aerospace Engineering (228 citations), Structural Biology (10 citations) and Electrical and Electronic Engineering (384 citations). Wei Gai has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include P. Schoessow, Xiang Sun, Manoel Conde, Wanming Liu, Chunguang Jing, John Power, Alexei Kanareykin, R. Konecny, Yingchao Du and Sergey Antipov. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Physical Review Letters, Physical Review Special Topics - Accelerators and Beams, Applied Physics Letters and Journal of Applied Physics.

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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