C. Zhou
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Renewable Energy, Sustainability and the Environment
- Information Systems top 10%
- Materials Chemistry
- Co-authors
- Liang-Tien ChiaBu‐Sung LeeZhi LiJ LIUYulong LiYun WangG. ChenAnindita Chakravarty
- Topics
- Particle physics theoretical and experimental studies (13 papers)Particle Detector Development and Performance (10 papers)Dark Matter and Cosmic Phenomena (5 papers)
- Cited by
- Nuclear and High Energy PhysicsRenewable Energy, Sustainability and the EnvironmentArtificial Intelligence
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
C. Zhou
30 papers receiving 436 citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 117
- Atomic and Molecular Physics, and Optics 82
- Renewable Energy, Sustainability and the Environment 76
- Information Systems 74
- Materials Chemistry 73
Countries citing papers authored by C. Zhou
This map shows the geographic impact of C. Zhou'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. Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Zhou more than expected).
Fields of papers citing papers by C. Zhou
This network shows the impact of papers produced by C. Zhou. 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. Zhou. The network helps show where C. Zhou may publish in the future.
Co-authorship network of co-authors of C. Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of C. Zhou. A scholar is included among the top collaborators of C. Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Zhou. C. Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 52 | |
| 18 | 18 | |
| 19 | Search for supersymmetry using events with three leptons, multiple jets, and missing transverse momentum in 8 TeV proton-proton collision data with the ATLAS detector | 1 |
| 20 | 46 |
About C. Zhou
C. Zhou is a scholar working on Nuclear and High Energy Physics, Computer Graphics and Computer-Aided Design and Catalysis, having authored 39 papers that have together received 447 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (13 papers), Particle Detector Development and Performance (10 papers) and Dark Matter and Cosmic Phenomena (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (62 citations), Renewable Energy, Sustainability and the Environment (76 citations) and Artificial Intelligence (117 citations). C. Zhou has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Liang-Tien Chia, Bu‐Sung Lee, Zhi Li, J LIU, Yulong Li, Yun Wang, G. Chen, Anindita Chakravarty, Kelun Wang and Chao Chen. Their work appears in journals such as Physical Review Letters, Journal of Marketing and Physical Review A.
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.