C. Wang
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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- High-Energy Particle Collisions Research 8
- Particle physics theoretical and experimental studies 8
- Particle Detector Development and Performance 5
- Quantum Chromodynamics and Particle Interactions 3
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- Software Engineering Research 1
- Co-authors
- Jia Li (1 shared paper)Zhaoyan Shen (1 shared paper)Zhen Yang (1 shared paper)Jacky Keung (1 shared paper)
- Journals
- The European Physical Journal C (3 papers)Physical Review Letters (3 papers)Journal of High Energy Physics (2 papers)Proceedings of the ACM on software engineering. (1 paper)
- Partner nations
- FranceHong KongSwitzerland
In The Last Decade
C. Wang
9 papers receiving 364 citations
Peers
Comparison fields: 5 of 37
- Nuclear and High Energy Physics 392
- Astronomy and Astrophysics 69
- Statistical and Nonlinear Physics 5
- Artificial Intelligence 9
- Computer Networks and Communications 5
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.
Co-authors
The 4 scholars most cited alongside C. Wang, 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 | 2017 | 152 | |
| 2 | 2018 | 123 | |
| 3 | 2019 | 48 | |
| 4 | 2016 | 43 | |
| 5 | 2018 | 17 | |
| 6 | 2017 | 17 | |
| 7 | 2016 | 6 | |
| 8 | 2017 | 4 | |
| 9 | 2025 | 2 |
About C. Wang
C. Wang is a scholar working on Nuclear and High Energy Physics, Information Systems, Artificial Intelligence, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 9 papers that have together received 412 indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (8 papers), Particle physics theoretical and experimental studies (8 papers), Particle Detector Development and Performance (5 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Topic Modeling (1 paper), Software Engineering Research (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (392 citations), Astronomy and Astrophysics (69 citations), Statistical and Nonlinear Physics (5 citations), Artificial Intelligence (9 citations) and Computer Networks and Communications (5 citations). C. Wang has collaborated with scholars based in France, Hong Kong and Switzerland. Frequent co-authors include Jia Li, Zhaoyan Shen, Zhen Yang and Jacky Keung. Their work appears in journals such as The European Physical Journal C, Physical Review Letters, Journal of High Energy Physics and Proceedings of the ACM on software engineering..
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.