C. Wang
Impact in
- Nuclear and High Energy Physics top 10%
- 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
- Neutrino Physics Research
- Black Holes and Theoretical Physics
- Astronomy and Astrophysics top 10%
- Cosmology and Gravitation Theories
Papers in
-
- Particle physics theoretical and experimental studies 52
- High-Energy Particle Collisions Research 44
- Quantum Chromodynamics and Particle Interactions 25
- Particle Detector Development and Performance 11
- Dark Matter and Cosmic Phenomena 8
- Neutrino Physics Research 6
-
- Cosmology and Gravitation Theories 9
C. Wang
52 papers receiving 1.5k citations
C. Wang's Hit Papers
Peers
Comparison fields: 5 of 43
- Nuclear and High Energy Physics 1.8k
- Astronomy and Astrophysics 343
- Artificial Intelligence 94
- Statistical and Nonlinear Physics 27
- Computer Networks and Communications 32
Countries citing papers authored by C. Wang
This map shows the geographic impact of C. Wang'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. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Wang more than expected).
Fields of papers citing papers by C. Wang
This network shows the impact of papers produced by C. Wang. 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. Wang. The network helps show where C. Wang may publish in the future.
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All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC Hit paper breakdown → | 2021 | 174 |
| 2 | 2021 | 104 | |
| 3 | 2018 | 103 | |
| 4 | 2018 | 101 | |
| 5 | 2019 | 95 | |
| 6 | 2018 | 76 | |
| 7 | 2019 | 69 | |
| 8 | 2017 | 68 | |
| 9 | 2015 | 62 | |
| 10 | 2018 | 53 | |
| 11 | 2019 | 52 | |
| 12 | 2018 | 52 | |
| 13 | 2018 | 45 | |
| 14 | 2016 | 45 | |
| 15 | 2018 | 44 | |
| 16 | 2018 | 42 | |
| 17 | 2021 | 40 | |
| 18 | 2018 | 40 | |
| 19 | 2018 | 38 | |
| 20 | 2016 | 36 |
About C. Wang
C. Wang is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Aerospace Engineering, Artificial Intelligence and Insect Science, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (52 papers), High-Energy Particle Collisions Research (44 papers), Quantum Chromodynamics and Particle Interactions (25 papers), Particle Detector Development and Performance (11 papers), Cosmology and Gravitation Theories (9 papers), Dark Matter and Cosmic Phenomena (8 papers), Neutrino Physics Research (6 papers) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (1.8k citations), Astronomy and Astrophysics (343 citations), Artificial Intelligence (94 citations), Statistical and Nonlinear Physics (27 citations) and Computer Networks and Communications (32 citations). C. Wang has collaborated with scholars based in Austria, France and Italy. 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 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.