G. Chen
Impact in
-
- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Black Holes and Theoretical Physics
- Neutrino Physics Research
- Astronomy and Astrophysics top 5%
- Cosmology and Gravitation Theories
Papers in
-
- Particle physics theoretical and experimental studies 99
- High-Energy Particle Collisions Research 94
- Quantum Chromodynamics and Particle Interactions 59
- Particle Detector Development and Performance 23
- Dark Matter and Cosmic Phenomena 11
- Neutrino Physics Research 3
-
- Cosmology and Gravitation Theories 11
G. Chen
101 papers receiving 3.1k citations
G. Chen's Hit Papers
Peers
Comparison fields: 5 of 53
- Nuclear and High Energy Physics 4.1k
- Astronomy and Astrophysics 685
- Artificial Intelligence 189
- Radiation 31
- Computer Networks and Communications 78
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.
No co-authors to show.
All Works
Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Particle-flow reconstruction and global event description with the CMS detector Hit paper breakdown → | 2017 | 699 |
| 2 | 2017 | 163 | |
| 3 | 2018 | 131 | |
| 4 | 2018 | 103 | |
| 5 | 2019 | 100 | |
| 6 | 2019 | 95 | |
| 7 | 2018 | 90 | |
| 8 | 2019 | 90 | |
| 9 | 2018 | 85 | |
| 10 | 2017 | 81 | |
| 11 | 2018 | 80 | |
| 12 | 2018 | 71 | |
| 13 | 2019 | 63 | |
| 14 | 2015 | 62 | |
| 15 | 2018 | 61 | |
| 16 | 2019 | 60 | |
| 17 | 2017 | 59 | |
| 18 | 2020 | 57 | |
| 19 | 2018 | 56 | |
| 20 | 2018 | 55 |
About G. Chen
G. Chen is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Applied Mathematics, Electrical and Electronic Engineering and Insect Science, having authored 101 papers that have together received 4.2k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (99 papers), High-Energy Particle Collisions Research (94 papers), Quantum Chromodynamics and Particle Interactions (59 papers), Particle Detector Development and Performance (23 papers), Cosmology and Gravitation Theories (11 papers), Dark Matter and Cosmic Phenomena (11 papers), Neutrino Physics Research (3 papers) and Gas Dynamics and Kinetic Theory (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (4.1k citations), Astronomy and Astrophysics (685 citations), Artificial Intelligence (189 citations), Radiation (31 citations) and Computer Networks and Communications (78 citations). G. Chen has collaborated with scholars based in Austria, Germany and Switzerland. Their work appears in journals such as Journal of High Energy Physics, Physics Letters B, The European Physical Journal C, Physical review. D and Physical Review Letters.
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.