Thomas G. Wong
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 2%
- Statistical and Nonlinear Physics top 10%
- Computer Networks and Communications
- Co-authors
- David MeyerD. F. WallsM. J. CollettS. M. TanE. M. WrightLuís TarratacaAndris AmbainisW. P. Schleich
- Topics
- Quantum Information and Cryptography (34 papers)Quantum Computing Algorithms and Architecture (29 papers)Quantum-Dot Cellular Automata (22 papers)
- Cited by
- Computational Theory and MathematicsArtificial IntelligenceAtomic and Molecular Physics, and Optics
- Journals
- Physical Review LettersPhysical Review APhilosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
- Partner nations
- United StatesLatviaNew Zealand
In The Last Decade
Thomas G. Wong
45 papers receiving 728 citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 554
- Atomic and Molecular Physics, and Optics 373
- Computational Theory and Mathematics 280
- Statistical and Nonlinear Physics 41
- Computer Networks and Communications 34
Countries citing papers authored by Thomas G. Wong
This map shows the geographic impact of Thomas G. Wong'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 Thomas G. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas G. Wong more than expected).
Fields of papers citing papers by Thomas G. Wong
This network shows the impact of papers produced by Thomas G. Wong. 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 Thomas G. Wong. The network helps show where Thomas G. Wong may publish in the future.
Co-authorship network of co-authors of Thomas G. Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas G. Wong. A scholar is included among the top collaborators of Thomas G. Wong 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 Thomas G. Wong. Thomas G. Wong 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 | 0 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 14 | |
| 7 | 8 | |
| 8 | 16 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 59 | |
| 12 | 15 | |
| 13 | 1 | |
| 14 | 64 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 8 |
About Thomas G. Wong
Thomas G. Wong is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Discrete Mathematics and Combinatorics, having authored 49 papers that have together received 752 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (34 papers), Quantum Computing Algorithms and Architecture (29 papers) and Quantum-Dot Cellular Automata (22 papers). The work is most often cited by research in Computational Theory and Mathematics (280 citations), Artificial Intelligence (554 citations) and Atomic and Molecular Physics, and Optics (373 citations). Thomas G. Wong has collaborated with scholars based in United States, Latvia and New Zealand. Frequent co-authors include David Meyer, D. F. Walls, M. J. Collett, S. M. Tan, E. M. Wright, Luís Tarrataca, Andris Ambainis, W. P. Schleich, Karl Vogel and M. K. Olsen. Their work appears in journals such as Physical Review Letters, Physical Review A and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.
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.