Gen Chen

38 papers receiving 290 citations

Peers

Gen Chen
Comparison fields: 5 of 56
  • Nuclear and High Energy Physics 134
  • Aerospace Engineering 154
  • Radiation 24
  • Complementary and alternative medicine 18
  • Biomedical Engineering 89
Replace Toshiya Muto with:
Toshiya Muto Japan
Matthew Fraser Switzerland
T. Franke Germany
Christopher Prior United Kingdom
Haitao Chen China
S. Spagnolo Italy
T. Nishi Japan
F. Watanabe Japan
N. Kimura Japan
S. Hamaguchi Japan
Gen Chen relative to Toshiya Muto Japan Toshiya Muto's profile →
Citations per field
00.5×10×15×18×
Toshiya Muto · 1×
Citations per year

Countries citing papers authored by Gen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Gen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200745
2 201443
3 201538
4 200824
5 201715
6 201313
7 202011
8 201210
9 20129
10 20207
11 20217
12 20187
13 20187
14 20167
15 20187
16 20176
17 20165
18 20195
19 20175
20 20185

About Gen Chen

Gen Chen is a scholar working on Aerospace Engineering, Nuclear and High Energy Physics, Biomedical Engineering, Electrical and Electronic Engineering and Radiation, having authored 48 papers that have together received 314 indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (35 papers), Magnetic confinement fusion research (26 papers), Superconducting Materials and Applications (19 papers), Particle Accelerators and Free-Electron Lasers (9 papers), Nuclear Physics and Applications (7 papers), Plasma Diagnostics and Applications (6 papers), Radiation Therapy and Dosimetry (4 papers) and Atomic and Subatomic Physics Research (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (134 citations), Aerospace Engineering (154 citations), Radiation (24 citations), Complementary and alternative medicine (18 citations) and Biomedical Engineering (89 citations). Gen Chen has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Ting Wang, Yuzhou Mao, Shuai Yuan, Yuntao Song, Yanping Zhao, C. Li, X. J. Zhang, Helena Korpelainen, Xu Deng and Yuntao Song. Their work appears in journals such as Fusion Science & Technology, Fusion Engineering and Design, IEEE Transactions on Nuclear Science, Journal of Nuclear Science and Technology and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

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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