G. Chen
Impact in
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- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Neutrino Physics Research
- Black Holes and Theoretical Physics
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- Cosmology and Gravitation Theories
Papers in
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- Particle physics theoretical and experimental studies 16
- High-Energy Particle Collisions Research 12
- Quantum Chromodynamics and Particle Interactions 8
- Particle Detector Development and Performance 4
- Neutrino Physics Research 2
- Dark Matter and Cosmic Phenomena 2
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- Cosmology and Gravitation Theories 4
G. Chen
16 papers receiving 524 citations
G. Chen's Hit Papers
Peers
Comparison fields: 5 of 19
- Nuclear and High Energy Physics 664
- Astronomy and Astrophysics 110
- Artificial Intelligence 47
- Radiation 5
- Computer Networks and Communications 13
Countries citing papers authored by G. Chen
This map shows the geographic impact of G. 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 G. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Chen more than expected).
Fields of papers citing papers by G. Chen
This network shows the impact of papers produced by G. 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 G. Chen. The network helps show where G. Chen may publish in the future.
Co-authors
The 1 scholars most cited alongside G. 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 | Performance of the CMS Level-1 trigger in proton-proton collisions at √s = 13 TeV Hit paper breakdown → | 2020 | 202 |
| 2 | 2018 | 113 | |
| 3 | 2019 | 69 | |
| 4 | 2020 | 55 | |
| 5 | 2018 | 42 | |
| 6 | 2018 | 34 | |
| 7 | 2019 | 30 | |
| 8 | 2019 | 27 | |
| 9 | 2018 | 20 | |
| 10 | 2018 | 17 | |
| 11 | 2003 | 17 | |
| 12 | 2018 | 16 | |
| 13 | 2001 | 15 | |
| 14 | 2021 | 13 | |
| 15 | 2018 | 8 | |
| 16 | 2024 | 3 | |
| 17 | 2025 | 0 |
About G. Chen
G. Chen is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Industrial and Manufacturing Engineering, Automotive Engineering and Building and Construction, having authored 17 papers that have together received 681 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (16 papers), High-Energy Particle Collisions Research (12 papers), Quantum Chromodynamics and Particle Interactions (8 papers), Particle Detector Development and Performance (4 papers), Cosmology and Gravitation Theories (4 papers), Neutrino Physics Research (2 papers), Dark Matter and Cosmic Phenomena (2 papers) and Advanced Manufacturing and Logistics Optimization (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (664 citations), Astronomy and Astrophysics (110 citations), Artificial Intelligence (47 citations), Radiation (5 citations) and Computer Networks and Communications (13 citations). G. Chen has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Jia Shung Wang. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, Physical review. D, Physical Review Letters and The European Physical Journal C.
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.