C. Chen
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Quantum Chromodynamics and Particle Interactions
- Neutrino Physics Research
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- Cosmology and Gravitation Theories
Papers in
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- High-Energy Particle Collisions Research 7
- Particle physics theoretical and experimental studies 7
- Particle Detector Development and Performance 4
- Quantum Chromodynamics and Particle Interactions 3
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- Technology Adoption and User Behaviour 1
- Co-authors
- Jean-Roch Vlimant (1 shared paper)T. Q. Nguyen (1 shared paper)Maurizio Pierini (1 shared paper)Olmo Cerri (1 shared paper)
- Journals
- Physical review. D (2 papers)Physical Review Letters (2 papers)Physics Letters B (1 paper)Journal of Instrumentation (1 paper)PubMed (1 paper)
- Partner nations
- AustriaSwitzerlandChina
In The Last Decade
C. Chen
6 papers receiving 212 citations
C. Chen's Hit Papers
Peers
Comparison fields: 5 of 20
- Nuclear and High Energy Physics 274
- Astronomy and Astrophysics 44
- Radiation 9
- Artificial Intelligence 28
- Hardware and Architecture 3
Countries citing papers authored by C. Chen
This map shows the geographic impact of C. 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 C. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Chen more than expected).
Fields of papers citing papers by C. Chen
This network shows the impact of papers produced by C. 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 C. Chen. The network helps show where C. Chen may publish in the future.
Co-authors
The 4 scholars most cited alongside C. Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC Hit paper breakdown → | 2021 | 174 |
| 2 | 2020 | 52 | |
| 3 | 2021 | 23 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 12 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 1 | |
| 8 | 2025 | 0 |
About C. Chen
C. Chen is a scholar working on Nuclear and High Energy Physics, Information Systems and Management, Marketing, Management Information Systems and Insect Science, having authored 8 papers that have together received 286 indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (7 papers), Particle physics theoretical and experimental studies (7 papers), Particle Detector Development and Performance (4 papers), Quantum Chromodynamics and Particle Interactions (3 papers), FinTech, Crowdfunding, Digital Finance (1 paper), Sharing Economy and Platforms (1 paper) and Technology Adoption and User Behaviour (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (274 citations), Astronomy and Astrophysics (44 citations), Radiation (9 citations), Artificial Intelligence (28 citations) and Hardware and Architecture (3 citations). C. Chen has collaborated with scholars based in Austria, Switzerland and China. Frequent co-authors include Jean-Roch Vlimant, T. Q. Nguyen, Maurizio Pierini and Olmo Cerri. Their work appears in journals such as Physical review. D, Physical Review Letters, Physics Letters B, Journal of Instrumentation and PubMed.
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.