Cassandra Chua
Impact in
-
- Quantum and electron transport phenomena
- Topological Materials and Phenomena
- Semiconductor Quantum Structures and Devices
-
- Graphene research and applications
Papers in
-
- Quantum and electron transport phenomena 9
- Topological Materials and Phenomena 2
- Surface and Thin Film Phenomena 1
-
- Graphene research and applications 6
- Co-authors
- Joe Salfi (1 shared paper)Takashi Kobayashi (1 shared paper)Brett C. Johnson (1 shared paper)M. R. Connolly (5 shared papers)Vladimir I. Fal’ko (2 shared papers)Reuben K. Puddy (2 shared papers)T. J. B. M. Janssen (3 shared papers)M. R. Buitelaar (2 shared papers)
- Journals
- Physical Review B (2 papers)Physical Review Applied (2 papers)Carbon (1 paper)Nano Letters (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- United KingdomAustraliaSweden
In The Last Decade
Cassandra Chua
9 papers receiving 212 citations
Peers
Comparison fields: 5 of 23
- Atomic and Molecular Physics, and Optics 171
- Materials Chemistry 99
- Electrical and Electronic Engineering 105
- Condensed Matter Physics 13
- Artificial Intelligence 29
Countries citing papers authored by Cassandra Chua
This map shows the geographic impact of Cassandra Chua'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 Cassandra Chua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cassandra Chua more than expected).
Fields of papers citing papers by Cassandra Chua
This network shows the impact of papers produced by Cassandra Chua. 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 Cassandra Chua. The network helps show where Cassandra Chua may publish in the future.
Co-authors
The 25 scholars most cited alongside Cassandra Chua, 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 | 2013 | 85 | |
| 2 | Engineering long spin coherence times of spin–orbit qubits in silicon | 2021 | 46 |
| 3 | 2013 | 28 | |
| 4 | 2014 | 24 | |
| 5 | 2022 | 13 | |
| 6 | 2022 | 9 | |
| 7 | 2012 | 6 | |
| 8 | 2017 | 3 | |
| 9 | 2015 | 1 |
About Cassandra Chua
Cassandra Chua is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Electrical and Electronic Engineering, Condensed Matter Physics and Artificial Intelligence, having authored 9 papers that have together received 215 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (9 papers), Graphene research and applications (6 papers), Topological Materials and Phenomena (2 papers), Quantum Information and Cryptography (2 papers), Physics of Superconductivity and Magnetism (2 papers), Molecular Junctions and Nanostructures (1 paper), Quantum Computing Algorithms and Architecture (1 paper) and Surface and Thin Film Phenomena (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (171 citations), Materials Chemistry (99 citations), Electrical and Electronic Engineering (105 citations), Condensed Matter Physics (13 citations) and Artificial Intelligence (29 citations). Cassandra Chua has collaborated with scholars based in United Kingdom, Australia and Sweden. Frequent co-authors include Joe Salfi, Takashi Kobayashi, Brett C. Johnson, M. R. Connolly, Vladimir I. Fal’ko, Reuben K. Puddy, T. J. B. M. Janssen, M. R. Buitelaar, G. A. C. Jones and J. P. Griffiths. Their work appears in journals such as Physical Review B, Physical Review Applied, Carbon, Nano Letters and Applied Physics 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.